A Bi-Lateral Comparison of a 0.5 gram to gram Weight Set

Size: px
Start display at page:

Download "A Bi-Lateral Comparison of a 0.5 gram to gram Weight Set"

Transcription

1 PL Report CMAM 6 A Bi-Lterl Comprison of.5 grm to.1 grm Weight Set M Rymond Centre for Mechnicl nd Acosticl Mecrology tionl Physicl Lbortory T eddington Middlesex nited Kingdom TWIILW Dr L ielsen Dnish Institte of Fndmentl Metrology Bilding 37 Anker Engelnds Vej 1 DK -28 Lyngby Denmrk ABSTRACT A bi-lterl comprison of.5 grm to.1 grm set of weights hs been crried ot between the tionl Physicl Lbortory (PL) nd the Dnish Institte of Fndmentl Metrology (DFM). The mss vles of sixteen ot of seventeen mesred weights gree to within the combined stndrd ncertinty (k=l) of the two lbortories. This represents n excellent greement nd gives confidence in the mesrements performed by both lbortories.

2 PL Report CMAM Crown copyright 1997 Reprodced by permission of the controller of HMSO ISS tionl Physicl Lbortory Teddington, Middlesex, nited Kingdom, TW11 OLW o extrcts from this report my be reprodced withot the prior written consent of the Mnging Director, tionl Physicl Lbortory; if consent is given the sorce mst be cknowledged nd my not be sed ot of context. Approved on behlf of the Mnging Director, PL, by Dr G Torr, Hed of Centre, Centre for Mechnicl nd Acosticl Metrology

3 1 ITRODCTIO 1 2 EQIPMET SED FOR COMPARISO STADARDS AD TRACEABILITY PL DFM BALACES PL DFM 2.3 AIR DESffY MEASREMETS PL Mesrements b 2.3.1c 2.3.1d Air Pressre Tempertre 3 3 Hmidity dew point 3 Crbon dioxide concentrtion DFM Mesrements Air Pressre b Tempertre c Hmidity dew point d Crbon dioxide concentrtion 4 3 WEIGI-llG SCHEME PL MEASREMETS DFM MEASREMETS 4 4 CERTAITIES PL Air Density Mss Stndrds Density of the weights Weighing Scheme Blnce DFM Vle of reference mss 6

4 4.2.2 Air Density Volmes of weights Centres of grvity of weights Blnce repetbility Scle fctor 7 5 RESLTS 7 6 COCLSIOS 8 7 SMMARY 8 8 REFERECES 9 Tble 1 Atmospheric Conditions Dring the Mesrements 1 Tble 2 Reslts of the Mss Mesrement t PL nd DFM 11 Tble 3 Comprison of reslts Obtined t PL nd DFM 12 Tble 4 PL ncertinty Bdget for PLW65 13 Tble 5 DFM ncertinty Bdget for LW65 14 Tble 6 Mss vles obtined for the dded fl weights in prt 'C' of PL W65 together with the vles obtined in April 1996 when the set PLW54 ws lst clibrted 15 Figre 1 Trcebility of PI Grms nd PLW43 16 Figre 2 Grph showing the chnge in mesred mss for PLW65 in April 1996 nd Jne 1996 reltive to the vles mesred in Jnry

5 PL Report CMAM 6 1 ITRODCTIO A bi-lterl comprison of.5 grm to.1 grm set of weights ws crried ot between the tionl Physicl Lbortory (PL), nited Kingdom nd the Dnish Institte of Fndmentl Metrology (DFM), Denmrk. This is the first comprison mde t this level by either lbortory nd both were keen to ensre tht greement between their mesrements ws within their estimted ncertinties for the weights. It ws greed tht PL wold provide set of weights for the comprison. The set of weights sed for this comprison ws spplied by Precis Blnces Limited. This set is identified s PLW65 prts 'C' nd 'D' nd is hosed in wooden box which contins two plstic lined comprtments, lbelled 'C' nd 'D'. Prt 'C' of the set comprises of nonmgnetic stinless steel polygonl wire weights of nominl mss.5 grm to.1 grm shped ccording to the OIML recommendtion [1]. Prt 'D' of the set is similr to prt 'C' except the shpe of ech weight is slightly ltered to distingish them from the prt 'C' weights. All of the weights hve n ssmed density of 8 5 kg m-3 bsed on the mesred density of lrger weights from the sme mnfctrer. The set ws prchsed from Precis in 1994 nd hs been weighed t PL in Febrry 1994 nd Mrch The weights hve not been sed for ny other prpose. The weights were clibrted t PL dring the period 24 to 29 Jnry They were then tken by ir to the EROMET Mss Contct Persons meeting in Mdrid on 5 Febrry 1996 nd hnded to the DFM representtive. The weights remined in Mdrid for five dys before being tken to Denmrk nd were clibrted by DFM dring the period 16 to 3 April The weights were retrned to PL on 2 My 1996 nd clibrted gin dring the period 13 to 21 Jne A frther clibrtion of prt 'C' of the set withot prt 'D' ws crried ot t PL dring the period 9 to 22 Agst EQIPMET SED FOR COMPARISO 2.1 STADARDS AD TRACEABILrrY PL Three stndrds of nominl mss 1 grm were sed to clibrte set PLW65. Two of the 1 grm stndrds re cylindricl stinless steel weights of stinless steel with volme of.1276 cm3 nd stndrd ncertinty of ::!:. 5 cm3. These weights re tken from 5 grms to 1 grm set known s PLW43, which hs n ssmed density of 784 kg m-3 bsed on the mesrement of the density of lrger weights from the sme mnfctrer. The third 1 grm stndrd is cylindricl weight of pltinm-iridim with volme of.469 cm3 nd stndrd ncertinty of.5 cm3. This weight is tken from 5 grms to 1 milligrm set known s PI Grms, which hs n ssmed density of kg m-3 bsed on mesrements mde by the Bord of Trde [2]. The three stndrds re trceble by sb-division to the Interntionl Prototype Kilogrm held t the Interntionl Bre of Weights nd Mesres (BIPM), throgh the K tionl Prototype Kilogrm o 18 (Kg 18) which ws lst clibrted by BIPM in Figre 1 shows the trcebility of PI Grms nd PLW 43 bck to Kg 18. 1

6 2.1.2 DFM The Ig weight WIg in the weight set DFM 431 ws sed s reference stndrd for the clibrtion. This weight is mde of stinless steel nd hs volme of.1259 cm3 mesred with stndrd ncertinty of :t. 25 cm3 by hydrosttic weighing. The mss of WIg hs been mesred by sbdivision from the lkg weight Wlkg in the weight set DFM 432. The weight Wlkg hs been clibrted directly ginst the Dnish tionl Prototype Kilogrm K48, which is trceble to the Interntionl Prototype Kilogrm throgh periodic clibrtions t BIPM; K48 ws lst clibrted t BIPM in Jne BALACES PL Two blnces were sed for this comprison. A Srtoris 54 single-pn blnce ws sed to clibrte the weights before they were sent to DFM. This blnce hd cpcity of 4 grms with redbility of.1 g nd stndrd devition of.2 g on the repetbility of twenty consective redings, the blnce being rrested between ech reding. When the weights were retrned from DFM they were clibrted sing Mettler ME22 single-pn blnce. This blnce hs cpcity of 3 grms with redbility of.1 g nd stndrd devition of.3 g on the repetbility of twenty consective redings. The Agst 1996 clibrtion of prt 'C' of the set ws crried ot sing the Srtoris 54 blnce, which in Jne 1996 hd been modified by Srtoris to hve cpcity of 5 grms. The blnce is now known s the Srtoris CSS. It hs the sme redbility of.1 g nd following re-ssessment shows stndrd devition of.3 g on the repetbility of twenty consective redings DFM The clibrtion of the msses were performed on Mettler M3 single pn mss comprtor. This comprtor hs cpcity of 3 g nd resoltion of.1 g. The stndrd devition of the mss difference of two weights A nd B mesred sing the ABBA weighing scheme is typiclly.5 g. 2.3 AIR DESITY MEASREMETS When weights of different volme were being compred correction ws mde for the ir boyncy which necessitted knowing the ir density t the time of the weighing. The ir density ws clclted from the for prmeters, ir pressre, tempertre, hmidity dew point nd crbon dioxide concentrtion, sing the empiricl eqtion recommended by CIPM [3]. Sections nd describe the eqipment sed for the mesrement of ech prmeter nd the ssocited stndrd ncertinty. Tble 1 gives the rnges of the mesred tmospheric conditions for ech clibrtion mde t FL nd DFM. 2

7 2.3.1 PL Mesrements Air Pressre The ir pressre ws mesred sing Drck DPI 14 vibrting cell brometer whose ncertinty, incorporting n element for drift between clibrtions, is :t.5 mbr t coverge fctor of k=l. This corresponds to stndrd ncertinty of:t.6 kg m-3 in ir density b Tempertre The tempertre ws mesred sing n Edle thermistor which hs clibrtion ncertinty of :t.3 C t coverge fctor of k=l. When combined with the ncertinty of the tempertre grdient cross the blnce nd the drift of the instrment between clibrtions, the ncertinty becomes :t.2 C which corresponds to stndrd ncertinty of:t.9 kg m-3 in the ir density c Hmidity dew point The hmidity dew point ws mesred sing Michell series 3 cooled mirror hygrometer. This hs n ncertinty of:t.11 C t coverge fctor of k=l. This combined with the ncertinty de to the dew point grdient cross the lbortory nd n element for the drift between clibrtions gives totl ncertinty of :t.25 C which corresponds to stndrd ncertinty of:t.7 kg m-3 in the ir density d Crbon dioxide concentrtion This hs not been mesred dring this comprison bt ws ssmed to be 4 ppm with n ncertinty of :t 5 ppm. This gives stndrd ncertinty in the ir density of :t. 3 kg m DFM Mesrements Air Pressre The ir pressre ws mesred sing Digiqrtz Digitl Brometer, model 74-16B from Proscientific Inc. The stndrd ncertinty of the pressre mesred with this instrment hs been estimted to :t 5 P, corresponding to stndrd ncertinty of :t.5 kg m-3 in the clclted ir density b Tempertre The tempertre ws mesred with PtlOO resistnce thermometer; its resistnce is mesred with Kelvimt Trnsmitter 432 mde by Brster. The resistnce thermometer nd the trnsmitter re clibrted s seprte nits. The mesred resistnce is converted to 3

8 PL Report CMAM 6 tempertre sing second order clibrtion crve fitted to the clibrtion dt obtined for the PtlOO element. The stndrd ncertinty of the mesred tempertre hs been estimted to :t. 6 mk, corresponding to stndrd ncertinty of :t.. 3 kg m-3 in the clclted ir density c Hmidity dew point The hmidity dew point of the mbient ir ws mesred sing Michell series 4 cooled mirror hygrometer. The stndrd ncertinty of the mesred dew point hs been estimted to :t.1 K corresponding to stndrd ncertinty of:t.4 kg m-3 in the clclted ir density d Crbon dioxide concentrtion The crbon dioxide content of the mbient ir ws mesred sing Briiel & Kjr photocosticl Mlti Gs-monitor, type 132. The stndrd ncertinty of the mesred crbon dioxide content hs been estimted to :t 2 ppm corresponding to stndrd ncertinty of :t.1 kg m-3 in the clclted ir density. 3 WEIGHIG SCHEME 3.1 FL MEASREMETS The set ws clibrted by FL employing sb-division method [4] nd weighing in doble sbstittion mode. Corrections for ir boyncy were mde sing the CIPM forml. o corrections were mde for the difference in the height of centre of grvity s this is negligible. The mss vles of the weights were clclted from the mss differences obtined dring the clibrtion sing lest sqres method [5]. Prt 'C' of the set ws clibrted withot prt 'D' in Agst To llow sb-division, dditionl weights of known mss were clibrted s prt of the set. These weights re listed in Tble 6 long with the mss vles obtined for these weights in this clibrtion nd known vles from when the ll the weights in the set were clibrted in Jly DFM MEASREMETS The clibrtion ws by sbdividing the mss of the reference stndrd WIg ccording to DFM's internl method [6]. Two sbdivisions were crried ot independently. One on prt C nd one on prt D of the set. In order to crete two sets sitble for sbdivision, the weights listed in Tble 7 were dded to both sets. The mss differences between selected weight combintions A nd B were mesred by weighing ccording to Bord's sbstittion principle. One difference ws bsed on for redings tken in the seqence ABBA, nd this seqence ws repeted 5 times. Ech mss difference observed ws corrected for ir boyncy nd differences in the verticl position of the centres of grvity of the weights. The ir boyncy corrections were clclted from the 4

9 volmes or densities known priori nd ir densities clclted from continos mesrements of pressre, tempertre, hmidity nd CO2 content sing the CIPM forml. From the observed, corrected mss differences the nknown msses hve been clclted for ech decde by the method of lest sqres sing the mss of WIg s restrint. The mss corrections obtined for the dditionl weights sed in ech of the two sbdivisions re given in Tble 7 together with the verge of their known vles obtined since CERTAITIES 4.1 PL The combined stndrd ncertinty in the mss of ech weight hs been clclted by estimting n ncertinty for ech of the identified contribting fctors nd combining these contribtions in qdrtre, in ccordnce with the 'ISO gide to the expression of ncertinty in mesrement' [7], to give combined stndrd ncertinty t coverge fctor of k=l Air Density The combined stndrd ncertinty in the ir density mesrement is mde p of the stndrd ncertinty de to ech of the mesred prmeters, s well s the stndrd ncertinty from the empiricl eqtion. The stndrd ncertinty ssocited with the eqtion is estimted to be :t. 12 kg m-3[8], which when dded in qdrtre to the ncertinties in the mesred prmeters, gives combined stndrd ncertinty of :t. 9 kg m-3 in the ir density mesrement t k=1 coverge fctor. The combined stndrd ncertinty contribtion rising from the ir density mesrement is lwys less thn :t.1i.lg Mss Stndrds The stndrds sed in the clibrtion of the set ech hve stndrd ncertinty of :t. 5 mg ssigned to them t the time of their clibrtion. These re ll derived from the stndrd ncertinty of:t.2 7 mg ssigned to the K tionl Prototype Kilogrm o 18. This stndrd ncertinty incldes n element for the ncertinty in the mss gin model [9]. A component to llow for the drift in the vles of the mss stndrds is inclded in their stndrd ncertinties Density of the weights The estimted stndrd ncertinty rising from the ssmed density of the stndrds nd the weights being clibrtion is :t 1 kg m-3. This leds to n ssocited stndrd ncertinty of :t. 2 mg in the mss vles ssigned to the weights. 5

10 PL Report CMAM 6 Weighing Scheme The weighing scheme sed llows for redndncy of dt. The stndrd ncertinty for ech weight in the weighing scheme is clclted by lest sqres nlysis [5] Blnce The PL convention is to tke the stndrd ncertinty of the blnce to be eql to the stndrd devition of twenty consective redings tht hve been crried ot dring its ssessment. However, it my be considered tht the blnce stndrd ncertinty is eql to the estimted stndrd ncertinty of twenty consective redings (ie the stndrd devition divided by -.In-l), which gives more optimistic ncertinty vle. 4.2 DFM The stndrd ncertinties of the mesred msses hve been estimted s described in ref. [6], which is consistent with the principles lid down in the Gide [7]. The following sorces of ncertinty were considered. Vle of reference mss Bsed on the clibrtion history the mss of WIg ws set to 1 g mg with stndrd ncertinty of:!::. 7 mg. Air Density As described in previos section, the stndrd ncertinty of the ir density hs been estimted to ::t.11 kg m-3. The reltive stndrd ncertinty of the recommended forml itself hs been estimted to ::t 6.5 E-5, corresponding to stndrd ncertinty of ::t.8 kg m-3 in the clclted ir density, which is inclded in the bove estimte. Volmes of weights The volmes ssigned to the DFM weights hve been bsed on either hydrosttic weighing of the prticlr weight, or clclted from ssmed densities for the weight mterils. The volmes of the PL W65 weights nd the ssocited stndrd ncertinties hve been clclted from density vle 85 kg m -3 nd stndrd ncertinty ::t 1 kg m-3 specified by PL Centres of grvity of weights The verticl position of the grvity centres of the PL W65 weights were ssmed to be rectnglrly distribted within:!::.5 Inm. 6

11 4.2.5 Blnce repetbility For ech decde the stndrd devition of single mss difference mesrement (sing the ABBA weighing seqence) ws clclted from the residls of the lest sqres fit performed. This stndrd devition ws propgted to stndrd ncertinty for ech weight in the decde Scle fctor Before the clibrtion ws crried ot, the scle fctor of the mss comprtor were mesred to be mg/div with stndrd ncertinty of:t.2 mg/div. 5 RESLTS The dt relting to the tmospheric conditions dring the mesrements re given in Tble 1. The dtes nd reslts of ll the clibrtions mde t PL nd DFM re given in Tble 2. The differences between the mss vles obtined by PL nd those obtined by DFM re given in Tble 3. The dt indicte time-dependent loss in mss for ll the weights. The grph in Figre 2 shows the differences of the reslts obtined by DFM in April 1996 nd PL in Jne 1996 from the reslts obtined by PL in Jnry It lso illstrtes the trend with which the weights re drifting. This trend is lso spported by the reslts of the two previos clibrtions mde by PL in Febrry 1994 nd Mrch The reslts obtined by PL in Jne 1996 gree more closely with the DFM reslts thn the Jnry 1996 reslts. This is my be de to the fct tht the weights hd trvelled, fter the first set of mesrements were mde, by n indirect rote inclding five dy sty in hotel where the tmospheric conditions re not idel. The effect of drift in the mss vles of the weights my be considerbly redced by tking n verge vle from the two PL clibrtions nd compring these vles with the reslts obtined by DFM. Colmn for of Tble 3 shows the differences clclted in this mnner. The mss vle ssigned to the 1 mg weight in prt 'c' of the set s reslt of the initil clibrtion t PL in Jnry 1996 clibrtion is significntly different to the vles ssigned in the other clibrtions. The weight sffered slight dmge de to mishndling dring this clibrtion. When it ws clibrted by DFM the mss of the weight ws comprble to the vles obtined by PL in Febrry 1994 nd Mrch The mss vles obtined by PL in Jne 1996 nd Agst 1996 gree exctly with the DFM clibrtion. The weight ppers to hve temporrily gined mss fter it ws dmged!. Throghot sbseqent clcltions the mesrements on this weight hve been ignored. This behvior is similr to tht exhibited by 1 kg weight tht ws dmged t PL in 1994 [9]. The reson for this behvior is not nderstood. 7

12 6 COCLSIOS Idelly more stble set of weights wold hve been sed in comprison sch s this. When the drift in the mss vles of the weights is tken into ccont there is good greement between the two lbortories. The mss differences of sixteen ot of the seventeen weights nder considertion (94 %) gree to within the combined stndrd ncertinties (dded in qdrtre) of the two lbortories. A coverge fctor of k=l, indictes level of confidence of pproximtely 67 %. Therefore, reslt in which 94 % of the mesred vles gree to within the combined stndrd ncertinties my be considered stisfctory. The stndrd ncertinties of the mss vles reported by DFM re smller thn those qoted by PL for ll nominl vles except.5 grm. The PL ncertinty bdget, shown in Tble 4, my be considered to be pessimistic s it incldes n element for the repetbility of the blnce which is bsed on the stndrd devition of nmber of repeted mesrements rther thn the on the estimted stndrd ncertinty of this ssessment. If the PL ncertinty bdget is mended to inclde the estimted stndrd ncertinty of the blnce performnce, s shown in the finl colmn of Tble 4, the combined stndrd ncertinties re redced. An ssessment of the reslts of the comprison bsed on these redced ncertinties revels tht thirteen ot of seventeen weights (76 %) gree to within the combined stndrd ncertinty of the two lbortories. This my lso be considered stisfctory reslt. The DFM ncertinty bdget is shown in Tble 5. 7 SMMARY A comprison of the clibrtion reslts chieved by PL nd DFM (the two prticipting lbortories) for set of stinless steel weights of.5 grm to.1 grm hs been mde. The reslts indicte tht the mss of the weights sed ppers to be chnging with time in predictble mnner. When the mesrement reslts re interpreted llowing for this timedependent drift, the greement is stisfctory when compred to the combined stndrd ncertinties of mesrement of the two lbortories. 8

13 PL Report CMAM 6 8 REFERECES [1] Interntionl recommendtion 111. Weights of Clsses Ell E21 FII FII MIl I. OIML, [2] Lewis, S.L. nd Hvrd, D.C. History of kilogrm 18 nd Other Importnt K Reference Mss Stndrds. PL Report MOT 1, [3] Dvis, R.S. Metrologi, 29, pp 67-7, [4] Lewis, S.L. nd Dvidson, S. Clibrtion of Mss Stndrds by Sbdivision of the Kilogrm. PL Report MOM 96, 199. [5] Hnt, R.A. The Assignment of Vles to Set of weights. PL Report MOM 5, 1981 [6] DFM qlity system docment Q2KALS2: Clibrtion Methods -Mss ( ) [7] Interntionl Orgniztion for Stndrdiztion, Genev, Switzerlnd. Gide to the Expression of ncertinty in Mesrement. First Edition, [8] Gicomo, P. Metrologi, 18 pp 33-4, 1982 [9] Severn, I. nd Rymond,.M. The Assignment of Vles to PL's 1 kg Stndrds Following the Third Periodic Verifiction of Prototype Kilogrms. PL Report MOT 2,

14 Tble 1: Atmospheric Conditions Dring the Mesrements Air Pressre Temperhlre Dew Point Crbon Dioxide (mbr) (OC) (OC) (ppm) Air Density (kg m-3) PL Minimm Jn '96 Mximm ncertinty :t.5 :t.1 :t.25 :tso :t. 9 DFM Minimm 1] Apr '96 Mximm ncertinty :t.5 ::!:.6 ID.l :t 2 :t. 11 PL Minimm Jn '96 Mximm ncertinty :t.5 :t.1 :t.25 :t5 :!:. 9 PL Minimm Ag '96 Mximm ncertinty :!:.5 ::!:O.O1 :t.25 :t5 :t. 9 The ncertinties stted in this tble re qoted t the coverge fctor of k=l 1

15 o-j \ \ (X) I \ \ (X) \,..J \ '\ \ I \ '\ \,.,J \ \ I \ \ \ \C \ ] fj) cis o Z Os cis. rn \C \ I " " I: fj) " ",..J z fj) fj) -.s fj) ' E-- >.. '"' ::J rn rn!is 1- :::> (Ij \ \ \ <:=5 (f) '- \ It') t'.. '8 : Cfj \ In Oi I '-t4 T"4 '\ '\ t"-..-; Cf") ; ; \ (:::) \ ; ; ; ":t' t'-. \ \ ; ; ('f') \,Q \ \ n ; c ; E5.& :E 1-4 '".&...s ' II.-,4 PL Report CMAM 6 M I: t'-.. \ \ C! If:) c:: 'ot4...,.q4 I \ Ct).-t \ It') C1').-; C1").-; rt') Cf') Lr) Lr) 8 c:5 Ir) Ir) ") ; ; 8; ; C'") Inl C1 Inl g::1 \' ; Cf') '-! l!') C1 C;') f"\' c::5 l!) \ \ \ \ \ \ \ Cf') \C \ Ci') c: ") \ <X> OO! \ I, Lr) (::) ("Ii I q \ \ \ \ ; I.t) <::\ <::\ <::\ <::\ <::\ Cf) I,C It') \C ") \ (:) \ \ d IJ').-t - \D C'! \ \ \ \ \ rt) d to... Cf1 ; C"! \C \ \ \ \ \ \ \ T-4 \ \ \ \ \ c:: \ \ \ \ C'! If) \ \ \ (::) In i '1 CX) \ \ \ \ \ l. \ \ \ (:) C'! C'! '-t4 \ (:::) lf1 t'-. If) lc).." = t +1 bli =1- +1 bl\ ) >.. c =1- bc hi'\ +1 b() +1 CI) CI)!IS >'E I I-t?;!\S bd 11

16 Tble 3: Comprison of Reslts Obtined t PL nd DFM ominl Mss g O.5C Difference between PL&DFM (Jn) & (Apr) Difference between DFM & PL (Apr & Jn) /.lg g Difference between PL nd DFM (llowing for drift)! g.35 Combined Stndrd ncertinty OFM & PL O.5D O.2C O.2D DAD.5.1 C O.lD O.O5C O.O5D O.O2C O.O2D C O.OID C D C D C 1.6*.*.8*.5*.1 D The ncertinties stted in this tble re qoted t the coverge fctor of k=l g.6 * This weight ws dmged dring the Jnry 1996 clibrtion t PL. 12

17 r-:mam6 r) os:..j 2 ;j i:;- (\3 5..J c(\3 bo. ;3.. b ' I ;3 'E I ] cn >.. ] "O"O'E : "; ">.g "... "!IS O *:::> ofo.?:-'.rn :s: t: CJ) o :e-. 1- "< s= J.= s=.!j.o (Ij rj) J r ;3. lis lis -lis lis ) :E S ) c ) "tj ] o.. -!IS "8 E z >. "O"O'E cc ' -s " ):::> :e- ] "tj o 1 t ci5 CD co \ c:: (X) C").-i <=) C1 In :1 1 CI') ") \ C1 In C'i \r) \ 8 \ M \., '2 \ ; C"! 1 CX) ; \ n \ Cf) c: c:5 CI') \r) C") \ 8 (X) ; M l!) 1-4 ; I/) i 1 Cf) Cf) ; ; \ Cf') ") \ 13 C"! Cf) Cf) <=:.-; q t Ir) C'"? Lr) (::) C"! m m \ ; If) ; n 1 1 '8 Ir) If) L() C? ; I 'I, C1').-I \ c: ; ; ; C1") C1 '8 C1') <=! 8; II.Y. '.9 -E. ] g. :E " 2-.:g :c. "' "' ' "' "' 2!. :e-. -:s Po ' -.c -:S :e-. ' "' ' "' "' 2!. S ] :e-. ' >- "'O ' "' Po ' "'.6-6]8.

18 ] s= J..o cis, -cis m.. 8; C() ; IX) ; Ci') rt) ; \ C'1 ; \.-; ; <X) <X) c::: '\ ; \ ; c: '\ r") ; \ d \.-; ; ; ; ; \ /:'-.. ' bd s=... :8 ' rs= I-i <1J Ī co o,?;-,..., > co lis (1)1-4'-"' CO " > "bz> Ṇ -I If) ; (X) c;j '8 c: I \ g; rl ;.-I 25 C!.-I ; In 8: Ir) 8; C! \ ; ; \ Lt") ; \ \ c: t \D 1 \ CX),..; ; I:-.. M <=> ; <=> to... ; n I:'-.. Cf) ; '\ ; ; to-. CX) \ 8 d CX) CI') ; ; (:) I:'-.. C1 \ ; ; If) c::: r Lr) c: R cx:> 8; \ \ t ; r... \ <;:) <;:) <;:) <;:) <;:) <;:) (::) lrj II \D -.E - "E ] C.f\.c:- "tj co b CI) Q.I '--' '\ In Cf) \ ; 8 ; (X) RI CX) R ; n l() \ 8 :5 ; <::) \.C) C1 M C=? ; t... ; Cf') ; C (;() '8; ; '8 ; C'") C1 ; ; 1,. ] g. -.. Ct) - I Ir) :E I E-4 fo Of II') ( bi b( C b(.-! d bl d (:\ bl In, c b( I ( <=5 Ol ( '8 q b( bl bl.-; ; bl :: '"d Ct) Ct) E-- 14

19 PL Report CMAM 6 II) \C \ \ - :f;:.s " E..g II) :s Ī >.:S -:S.! bo! i I I I I.- II) :c bo. I 'i ( " " I "O 2!. I..8: ":'= :s - 1 > I Z -:.. I E-o.,f:: s= ',= :9- c c 1- lc) \..= I.. I II) I..- II) II) I :t;- :::> \ \ e < >, "E. (Ij \ \ \ co E +I E +1 e ;j < '?. E 5.- :c...j z - t'-..oo OOOO OOOOO O(x)\DCf) \ \ Cf) t... OOOO I + T + + I C1 Q oot OO.q. \ ('t) t.q. oooo I + I + + I d '-t4 '-t4 oooooooot'-..t'-..!:'.. t'-.. t'-.. "'" bobobobo boboqqqq QQ OOOO oooc-;o <::) <::) <::) <::) <::) <::) <::) <::) <::) c:5 c:5 n ; (:) t:f"\, IrI \ \.-. "' tis -.g -tis > tis 1- > tis.. 1-.t: t:. "' "' "' tis. -- "' tis -.g..t: 1-1- tis r:,: tis 15 ) fl \ :s:...:i ") \D,..J '? Q -(II E Q -[tl >. c= 1- 'E \ \ \ 1-4 Q.. :e- '? 's e +1 ::J :t::- lis t: CIJ co S co E \ \ \ b() ': e P.. < :r;..:g Q 1. bo +1 ::J 'r:-'" '; 's.:?f '. lis.... t: :s E +1 ) E e +1 '- Cf") OOOOO Or") r") 'ot' 'ot' I I I + I ;.-; ;.-; O\.-;OO O.-;OO I I I + I \ C") C r,.. r,.. OOO I I I + I + Cj") \.-; C Cf\ Cf\ ooooooo ooooooo oo"'*' t'-. +.j...j...-;.-;.-; ci O\O\O\.-. t'-.. \ \,Q + + c bd bd S S bd bd bd bd bt bdgggg S S S.-; C"! C"!.-;.-; " <X> \ \ \ <X> <X> <X> <X>.-; C") C") C") C") C") C") C") OOOQQOOO

20 Figre 1: Trcebility of PI Grms ndplw 43 Kg 18 Pi-If kilogrm PI Grms Pt-Ir 5 g -.1 g AI.5 g -.1 g Kg A & B Pt-Ir kilogrms PL W 36 Two stinless steel kilogrms PLW43 Stinless steel set SOOg-lg 16

21 C";- I! 5 t/) -= '\ '\ -,.- E ) /J IS S ) e O IS -' ) 96-'Jn1 I /' /.1 I 96-Jdy / %:v! -- I 9f1-nf I %:!! -- --=f--- %-on('! -- " %-Jdy ::(( :==:1=- %-'dv %:!--'---; -( '_.I, 9:;==t %-'dv %-Jdy %:!--/:/_! "-- %-on( I ". "I %-'dy_. %::.:.=:;--:. %-'dv I-i-I / %:!---"-;"-- %-(, " ", " %( -..t7f"=i -" %:! --'= -I %! J--- f I 11 '" nf 1; , %-2[ I I 9I!-r.. :--:-:: %-_e(---:--; 9{,-n( 1:\ 96-ef I Y-- %-"-"1 -! --:-.. : 96"_.( = I 9fJ-nf I I; I -- y-"-'" 'I 96'JifY-"'-'-' 96-nf 1",1, 9fj-n[ I 1\ I _.._ 96-nf _.96,Jdy-- I I --!_.;._.::::=I 96-1 I: j=:- I I I If Q Q Q Q...;...;, (rl) 96-'ef 1IIJ 3Jffi',.. I oroo.o oroo.o oroo.o :>roo.o :>roo.o :>roo.o ozoo.o ozoo.o ozoo.o :>zoo.o :>zoo'o :>zoo.o osoo.o osoo.o osoo.o :>5. :>soo.o :>5. oro.o oro.o ow.o :>w.o :>w.o :>w.o ozo.o ozo.o i ozo.o :>zo.o :>zo.o :>zo.o oso.o oso.o oso.o :>5. :>5. :>5' oro oro oro :>ro :>ro :>ro oro oro oro :>ro :>z.o :>z.o.. os.o.. :>5. :>5. :>5. 17

ME 311 Mechanical Measurements Page 1 of 6 Wind Tunnel Laboratory. Name: Group: Campus Mail:

ME 311 Mechanical Measurements Page 1 of 6 Wind Tunnel Laboratory. Name: Group: Campus Mail: ME Mechnicl Mesrements Pge o 6 Wind Tnnel Lbortory Nme: Grop: Cmps Mil: NOTE: I my be 0-5 mintes lte becse I will be working with the vibrtion nd reqency lb grop to get them strted. Plese go over this

More information

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION XX IMEKO World Congress Metrology for Green Growth September 9,, Busn, Republic of Kore THERMAL EXPANSION COEFFICIENT OF WATER FOR OLUMETRIC CALIBRATION Nieves Medin Hed of Mss Division, CEM, Spin, mnmedin@mityc.es

More information

R. I. Badran Solid State Physics

R. I. Badran Solid State Physics I Bdrn Solid Stte Physics Crystl vibrtions nd the clssicl theory: The ssmption will be mde to consider tht the men eqilibrim position of ech ion is t Brvis lttice site The ions oscillte bot this men position

More information

CHAPTER 2 FUZZY NUMBER AND FUZZY ARITHMETIC

CHAPTER 2 FUZZY NUMBER AND FUZZY ARITHMETIC CHPTER FUZZY NUMBER ND FUZZY RITHMETIC 1 Introdction Fzzy rithmetic or rithmetic of fzzy nmbers is generlistion of intervl rithmetic, where rther thn considering intervls t one constnt level only, severl

More information

Chapter Bisection Method of Solving a Nonlinear Equation

Chapter Bisection Method of Solving a Nonlinear Equation Chpter 00 Bisection Method o Solving Nonliner Eqtion Ater reding this chpter, yo shold be ble to: 1 ollow the lgorith o the bisection ethod o solving nonliner eqtion, se the bisection ethod to solve eples

More information

Driving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d

Driving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d Interntionl Industril Informtics nd Computer Engineering Conference (IIICEC 15) Driving Cycle Construction of City Rod for Hybrid Bus Bsed on Mrkov Process Deng Pn1,, Fengchun Sun1,b*, Hongwen He1, c,

More information

Measurements of the flow resistance and inductance of inertance tubes at high acoustic amplitudes

Measurements of the flow resistance and inductance of inertance tubes at high acoustic amplitudes Mesrements of the flow resistnce nd indctnce of inertnce tbes t high costic mplitdes J Y. L. Yn K. He G. Q. Ho Y. K. Ling J. T. nd Zho, Y. Technicl Institte of Physics nd Chemistry, Chinese cdemy of Sciences,

More information

adjacent side sec 5 hypotenuse Evaluate the six trigonometric functions of the angle.

adjacent side sec 5 hypotenuse Evaluate the six trigonometric functions of the angle. A Trigonometric Fnctions (pp 8 ) Rtios of the sides of right tringle re sed to define the si trigonometric fnctions These trigonometric fnctions, in trn, re sed to help find nknown side lengths nd ngle

More information

Measuring Electron Work Function in Metal

Measuring Electron Work Function in Metal n experiment of the Electron topic Mesuring Electron Work Function in Metl Instructor: 梁生 Office: 7-318 Emil: shling@bjtu.edu.cn Purposes 1. To understnd the concept of electron work function in metl nd

More information

Acceptance Sampling by Attributes

Acceptance Sampling by Attributes Introduction Acceptnce Smpling by Attributes Acceptnce smpling is concerned with inspection nd decision mking regrding products. Three spects of smpling re importnt: o Involves rndom smpling of n entire

More information

Rel Gses 1. Gses (N, CO ) which don t obey gs lws or gs eqution P=RT t ll pressure nd tempertures re clled rel gses.. Rel gses obey gs lws t extremely low pressure nd high temperture. Rel gses devited

More information

Student Activity 3: Single Factor ANOVA

Student Activity 3: Single Factor ANOVA MATH 40 Student Activity 3: Single Fctor ANOVA Some Bsic Concepts In designed experiment, two or more tretments, or combintions of tretments, is pplied to experimentl units The number of tretments, whether

More information

Key comparison BIPM.RI(I)-K2 of the air-kerma standards of the PTB, Germany and the BIPM in low-energy x-rays

Key comparison BIPM.RI(I)-K2 of the air-kerma standards of the PTB, Germany and the BIPM in low-energy x-rays Key comprison BIPM.RI(I)-K2 of the ir-kerm stndrds of the PTB, Germny nd the BIPM in low-energy x-rys D.T. Burns 1, C Kessler 1 nd L Büermnn 2 1 Bureu Interntionl des Poids et Mesures, Pvillon de Breteuil,

More information

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

Solution Set 2. y z. + j. u + j

Solution Set 2. y z. + j. u + j Soltion Set 2. Review of Div, Grd nd Crl. Prove:. () ( A) =, where A is ny three dimensionl vector field. i j k ( Az A = y z = i A A y A z y A ) ( y A + j z z A ) ( z Ay + k A ) y ( A) = ( Az y A ) y +

More information

Math 124A October 04, 2011

Math 124A October 04, 2011 Mth 4A October 04, 0 Viktor Grigoryn 4 Vibrtions nd het flow In this lecture we will derive the wve nd het equtions from physicl principles. These re second order constnt coefficient liner PEs, which model

More information

Convert the NFA into DFA

Convert the NFA into DFA Convert the NF into F For ech NF we cn find F ccepting the sme lnguge. The numer of sttes of the F could e exponentil in the numer of sttes of the NF, ut in prctice this worst cse occurs rrely. lgorithm:

More information

SIMULATION OF DYNAMIC RESPONSE OF SATURATED SANDS USING MODIFIED DSC MODEL

SIMULATION OF DYNAMIC RESPONSE OF SATURATED SANDS USING MODIFIED DSC MODEL th World Conference on Erthqke Engineering Vncover, B.C., Cnd Agst -6, 4 Pper No. 8 SIMULATION OF DYNAMIC RESPONSE OF SATURATED SANDS USING MODIFIED DSC MODEL Soo-il KIM, Je-soon CHOI, Ken-bo PARK, Kyng-bm

More information

Key comparison BIPM.RI(I)-K7 of the air-kerma standards of the ENEA-INMRI, Italy and the BIPM in mammography x-rays

Key comparison BIPM.RI(I)-K7 of the air-kerma standards of the ENEA-INMRI, Italy and the BIPM in mammography x-rays Key comprison BIPM.RI(I)-K7 of the ir-kerm stndrds of the ENEA-INMRI, Itly nd the BIPM in mmmogrphy x-rys C Kessler, D T Burns, P Roger, M P Toni*, M Pinto*, M Bovi*, G Cppdozzi*, C Silvestri* Bureu Interntionl

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data A07 Uncertinties in Locl Anisotropy Estimtion from Multi-offset VSP Dt M. Asghrzdeh* (Curtin University), A. Bon (Curtin University), R. Pevzner (Curtin University), M. Urosevic (Curtin University) & B.

More information

Thermal Diffusivity. Paul Hughes. Department of Physics and Astronomy The University of Manchester Manchester M13 9PL. Second Year Laboratory Report

Thermal Diffusivity. Paul Hughes. Department of Physics and Astronomy The University of Manchester Manchester M13 9PL. Second Year Laboratory Report Therml iffusivity Pul Hughes eprtment of Physics nd Astronomy The University of nchester nchester 3 9PL Second Yer Lbortory Report Nov 4 Abstrct We investigted the therml diffusivity of cylindricl block

More information

CHM Physical Chemistry I Chapter 1 - Supplementary Material

CHM Physical Chemistry I Chapter 1 - Supplementary Material CHM 3410 - Physicl Chemistry I Chpter 1 - Supplementry Mteril For review of some bsic concepts in mth, see Atkins "Mthemticl Bckground 1 (pp 59-6), nd "Mthemticl Bckground " (pp 109-111). 1. Derivtion

More information

We are looking for ways to compute the integral of a function f(x), f(x)dx.

We are looking for ways to compute the integral of a function f(x), f(x)dx. INTEGRATION TECHNIQUES Introdction We re looking for wys to compte the integrl of fnction f(x), f(x)dx. To pt it simply, wht we need to do is find fnction F (x) sch tht F (x) = f(x). Then if the integrl

More information

A5682: Introduction to Cosmology Course Notes. 4. Cosmic Dynamics: The Friedmann Equation. = GM s

A5682: Introduction to Cosmology Course Notes. 4. Cosmic Dynamics: The Friedmann Equation. = GM s 4. Cosmic Dynmics: The Friedmnn Eqution Reding: Chpter 4 Newtonin Derivtion of the Friedmnn Eqution Consider n isolted sphere of rdius R s nd mss M s, in uniform, isotropic expnsion (Hubble flow). The

More information

13: Diffusion in 2 Energy Groups

13: Diffusion in 2 Energy Groups 3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups

More information

Chapter 4 FEM in the Analysis of a Four Bar Mechanism

Chapter 4 FEM in the Analysis of a Four Bar Mechanism Chpter FEM in the nlysis of For r Mechnism he finite element method (FEM) is powerfl nmericl techniqe tht ses vritionl nd interpoltion methods for modeling nd solving bondry vle problem. he method is lso

More information

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations ME 3600 Control ystems Chrcteristics of Open-Loop nd Closed-Loop ystems Importnt Control ystem Chrcteristics o ensitivity of system response to prmetric vritions cn be reduced o rnsient nd stedy-stte responses

More information

SOLUTIONS TO CONCEPTS CHAPTER

SOLUTIONS TO CONCEPTS CHAPTER 1. m = kg S = 10m Let, ccelertion =, Initil velocity u = 0. S= ut + 1/ t 10 = ½ ( ) 10 = = 5 m/s orce: = = 5 = 10N (ns) SOLUIONS O CONCEPS CHPE 5 40000. u = 40 km/hr = = 11.11 m/s. 3600 m = 000 kg ; v

More information

DIRECT CURRENT CIRCUITS

DIRECT CURRENT CIRCUITS DRECT CURRENT CUTS ELECTRC POWER Consider the circuit shown in the Figure where bttery is connected to resistor R. A positive chrge dq will gin potentil energy s it moves from point to point b through

More information

HIGHER SCHOOL CERTIFICATE EXAMINATION MATHEMATICS 4 UNIT (ADDITIONAL) Time allowed Three hours (Plus 5 minutes reading time)

HIGHER SCHOOL CERTIFICATE EXAMINATION MATHEMATICS 4 UNIT (ADDITIONAL) Time allowed Three hours (Plus 5 minutes reading time) HIGHER SCHOOL CERTIFICATE EXAMINATION 999 MATHEMATICS UNIT (ADDITIONAL) Time llowed Three hours (Plus 5 minutes reding time) DIRECTIONS TO CANDIDATES Attempt ALL questions ALL questions re of equl vlue

More information

Physics I Math Assessment with Answers

Physics I Math Assessment with Answers Physics I Mth Assessment with Answers The prpose of the following 10 qestions is to ssess some mth skills tht yo will need in Physics I These qestions will help yo identify some mth res tht yo my wnt to

More information

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018 Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.

More information

Adding and Subtracting Rational Expressions

Adding and Subtracting Rational Expressions 6.4 Adding nd Subtrcting Rtionl Epressions Essentil Question How cn you determine the domin of the sum or difference of two rtionl epressions? You cn dd nd subtrct rtionl epressions in much the sme wy

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

THE CHECKING ON EXPERIMENTAL MODELS OF CAPABLE LOAD ESTABILISHED BY THEORETICAL RELATIONS OF CALCULATION

THE CHECKING ON EXPERIMENTAL MODELS OF CAPABLE LOAD ESTABILISHED BY THEORETICAL RELATIONS OF CALCULATION INTERNATIONAL SCIENTIFIC CONFERENCE CIBv 00 3 November 00, Brşov THE CHECKING ON EXPERIMENTAL MODELS OF CAPABLE LOAD ESTABILISHED BY THEORETICAL RELATIONS OF CALCULATION Ion TUNS *, Florin-L. TĂMAŞ *,

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS

ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS F. Tkeo 1 nd M. Sk 1 Hchinohe Ntionl College of Technology, Hchinohe, Jpn; Tohoku University, Sendi, Jpn Abstrct:

More information

A Brief Review on Akkar, Sandikkaya and Bommer (ASB13) GMPE

A Brief Review on Akkar, Sandikkaya and Bommer (ASB13) GMPE Southwestern U.S. Ground Motion Chrcteriztion Senior Seismic Hzrd Anlysis Committee Level 3 Workshop #2 October 22-24, 2013 A Brief Review on Akkr, Sndikky nd Bommer (ASB13 GMPE Sinn Akkr Deprtment of

More information

Derivation of Theoretical Formulas of Accuracy on Accessing Neighboring Buckets in Hash-Based Approximate Nearest Neighbor Search

Derivation of Theoretical Formulas of Accuracy on Accessing Neighboring Buckets in Hash-Based Approximate Nearest Neighbor Search Derivtion of Theoreticl Formls of Accrcy on Accessing Neighboring Bckets in -Bsed Approximte Nerest Neighbor Serch Tomoyki MUTOH, Mskz IWAMUA, nd Koichi KISE Grdte School of Engineering, Osk Prefectre

More information

Scientific notation is a way of expressing really big numbers or really small numbers.

Scientific notation is a way of expressing really big numbers or really small numbers. Scientific Nottion (Stndrd form) Scientific nottion is wy of expressing relly big numbers or relly smll numbers. It is most often used in scientific clcultions where the nlysis must be very precise. Scientific

More information

APPROXIMATE INTEGRATION

APPROXIMATE INTEGRATION APPROXIMATE INTEGRATION. Introduction We hve seen tht there re functions whose nti-derivtives cnnot be expressed in closed form. For these resons ny definite integrl involving these integrnds cnnot be

More information

INSTRUMENTS USED FOR MEASURINNG THE MAGNETIC PROPERTIES OF ONE KILOGRAM MASS STANDARD IN CENTER FOR MEASUREMENT STANDARDS (CMS)

INSTRUMENTS USED FOR MEASURINNG THE MAGNETIC PROPERTIES OF ONE KILOGRAM MASS STANDARD IN CENTER FOR MEASUREMENT STANDARDS (CMS) INSTRUMENTS USED OR MEASURINNG THE MAGNETIC PROPERTIES O ONE KILOGRAM MASS STANDARD IN CENTER OR MEASUREMENT STANDARDS (CMS) Sheu-shi Pn, H. C. Lu nd C. S. Chng Center for Mesurement Stndrds, Industril

More information

p-adic Egyptian Fractions

p-adic Egyptian Fractions p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction

More information

(e) if x = y + z and a divides any two of the integers x, y, or z, then a divides the remaining integer

(e) if x = y + z and a divides any two of the integers x, y, or z, then a divides the remaining integer Divisibility In this note we introduce the notion of divisibility for two integers nd b then we discuss the division lgorithm. First we give forml definition nd note some properties of the division opertion.

More information

Intro to Nuclear and Particle Physics (5110)

Intro to Nuclear and Particle Physics (5110) Intro to Nucler nd Prticle Physics (5110) Feb, 009 The Nucler Mss Spectrum The Liquid Drop Model //009 1 E(MeV) n n(n-1)/ E/[ n(n-1)/] (MeV/pir) 1 C 16 O 0 Ne 4 Mg 7.7 14.44 19.17 8.48 4 5 6 6 10 15.4.41

More information

Newly Established Hydrometer Calibration Set Up at UM. Ümit Y. AKÇADAĞ, S. Eren SAN TÜBİTAK, Ulusal Metroloji Enstitüsü (UME) Gebze Kocaeli, Turkey

Newly Established Hydrometer Calibration Set Up at UM. Ümit Y. AKÇADAĞ, S. Eren SAN TÜBİTAK, Ulusal Metroloji Enstitüsü (UME) Gebze Kocaeli, Turkey Proceedins of the 7 th Interntionl Conference on Force, Mss, Torque nd Pressure Mesurements, IMEKO TC3, 7- Sept. 00, Istnbul, Turkey Newly Estblished Hydrometer Clibrtion Set Up t UM Ümit Y. AKÇADAĞ, S.

More information

Purpose of the experiment

Purpose of the experiment Newton s Lws II PES 6 Advnced Physics Lb I Purpose of the experiment Exmine two cses using Newton s Lws. Sttic ( = 0) Dynmic ( 0) fyi fyi Did you know tht the longest recorded flight of chicken is thirteen

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

Shear and torsion interaction of hollow core slabs

Shear and torsion interaction of hollow core slabs Competitive nd Sustinble Growth Contrct Nº G6RD-CT--6 Sher nd torsion interction of hollow core slbs HOLCOTORS Technicl Report, Rev. Anlyses of hollow core floors December The content of the present publiction

More information

Math 113 Exam 2 Practice

Math 113 Exam 2 Practice Mth 3 Exm Prctice Februry 8, 03 Exm will cover 7.4, 7.5, 7.7, 7.8, 8.-3 nd 8.5. Plese note tht integrtion skills lerned in erlier sections will still be needed for the mteril in 7.5, 7.8 nd chpter 8. This

More information

New data structures to reduce data size and search time

New data structures to reduce data size and search time New dt structures to reduce dt size nd serch time Tsuneo Kuwbr Deprtment of Informtion Sciences, Fculty of Science, Kngw University, Hirtsuk-shi, Jpn FIT2018 1D-1, No2, pp1-4 Copyright (c)2018 by The Institute

More information

CBE 291b - Computation And Optimization For Engineers

CBE 291b - Computation And Optimization For Engineers The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

Module 2: Rate Law & Stoichiomtery (Chapter 3, Fogler)

Module 2: Rate Law & Stoichiomtery (Chapter 3, Fogler) CHE 309: Chemicl Rection Engineering Lecture-8 Module 2: Rte Lw & Stoichiomtery (Chpter 3, Fogler) Topics to be covered in tody s lecture Thermodynmics nd Kinetics Rection rtes for reversible rections

More information

2008 Mathematical Methods (CAS) GA 3: Examination 2

2008 Mathematical Methods (CAS) GA 3: Examination 2 Mthemticl Methods (CAS) GA : Exmintion GENERAL COMMENTS There were 406 students who st the Mthemticl Methods (CAS) exmintion in. Mrks rnged from to 79 out of possible score of 80. Student responses showed

More information

1 Online Learning and Regret Minimization

1 Online Learning and Regret Minimization 2.997 Decision-Mking in Lrge-Scle Systems My 10 MIT, Spring 2004 Hndout #29 Lecture Note 24 1 Online Lerning nd Regret Minimiztion In this lecture, we consider the problem of sequentil decision mking in

More information

HQPD - ALGEBRA I TEST Record your answers on the answer sheet.

HQPD - ALGEBRA I TEST Record your answers on the answer sheet. HQPD - ALGEBRA I TEST Record your nswers on the nswer sheet. Choose the best nswer for ech. 1. If 7(2d ) = 5, then 14d 21 = 5 is justified by which property? A. ssocitive property B. commuttive property

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

Effects of peripheral drilling moment on delamination using special drill bits

Effects of peripheral drilling moment on delamination using special drill bits journl of mterils processing technology 01 (008 471 476 journl homepge: www.elsevier.com/locte/jmtprotec Effects of peripherl illing moment on delmintion using specil ill bits C.C. Tso,, H. Hocheng b Deprtment

More information

Precalculus Spring 2017

Precalculus Spring 2017 Preclculus Spring 2017 Exm 3 Summry (Section 4.1 through 5.2, nd 9.4) Section P.5 Find domins of lgebric expressions Simplify rtionl expressions Add, subtrct, multiply, & divide rtionl expressions Simplify

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information

SIM BILATERAL COMPARISON ON VOLUME OF SOLIDS BY HYDROSTATIC WEIGHING BETWEEN CENAM-MEXICO AND INMETRO-BRAZIL SIM.7.34-B.

SIM BILATERAL COMPARISON ON VOLUME OF SOLIDS BY HYDROSTATIC WEIGHING BETWEEN CENAM-MEXICO AND INMETRO-BRAZIL SIM.7.34-B. SIM BIATERA COMPARISON ON VOUME OF SOIDS BY HYDROSTATIC WEIGHING BETWEEN -MEXICO AND INMETRO-BRAZI SIM.7.34-B uis O. Becerr 1, Dli Mlt 2, uz. M. Ceteo 1, José Julio Piheiro 2 1, Querétro, Qro., Mexico,

More information

Mathematics Extension 1

Mathematics Extension 1 04 Bored of Studies Tril Emintions Mthemtics Etension Written by Crrotsticks & Trebl. Generl Instructions Totl Mrks 70 Reding time 5 minutes. Working time hours. Write using blck or blue pen. Blck pen

More information

The Wave Equation I. MA 436 Kurt Bryan

The Wave Equation I. MA 436 Kurt Bryan 1 Introduction The Wve Eqution I MA 436 Kurt Bryn Consider string stretching long the x xis, of indeterminte (or even infinite!) length. We wnt to derive n eqution which models the motion of the string

More information

The International Association for the Properties of Water and Steam. Release on the Ionization Constant of H 2 O

The International Association for the Properties of Water and Steam. Release on the Ionization Constant of H 2 O IAPWS R-7 The Interntionl Assocition for the Properties of Wter nd Stem Lucerne, Sitzerlnd August 7 Relese on the Ioniztion Constnt of H O 7 The Interntionl Assocition for the Properties of Wter nd Stem

More information

LECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry

LECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry LECTURE 14 Dr. Teres D. Golden University of North Texs Deprtment of Chemistry Quntittive Methods A. Quntittive Phse Anlysis Qulittive D phses by comprison with stndrd ptterns. Estimte of proportions of

More information

Sufficient condition on noise correlations for scalable quantum computing

Sufficient condition on noise correlations for scalable quantum computing Sufficient condition on noise correltions for sclble quntum computing John Presill, 2 Februry 202 Is quntum computing sclble? The ccurcy threshold theorem for quntum computtion estblishes tht sclbility

More information

_3-----"/- ~StudI_G u_id_e_-..,...-~~_~

_3-----/- ~StudI_G u_id_e_-..,...-~~_~ e- / Dte Period Nme CHAPTR 3-----"/- StudIG uide-..,...- [-------------------- Accelerted Motion Vocbulry Review Write the term tht correctly completes the sttement. Use ech term once. ccelertion verge

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

Math 1B, lecture 4: Error bounds for numerical methods

Math 1B, lecture 4: Error bounds for numerical methods Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the

More information

Estimation of Global Solar Radiation at Onitsha with Regression Analysis and Artificial Neural Network Models

Estimation of Global Solar Radiation at Onitsha with Regression Analysis and Artificial Neural Network Models eserch Journl of ecent Sciences ISSN 77-5 es.j.ecent Sci. Estimtion of Globl Solr dition t Onitsh with egression Anlysis nd Artificil Neurl Network Models Abstrct Agbo G.A., Ibeh G.F. *nd Ekpe J.E. Fculty

More information

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral Improper Integrls Every time tht we hve evluted definite integrl such s f(x) dx, we hve mde two implicit ssumptions bout the integrl:. The intervl [, b] is finite, nd. f(x) is continuous on [, b]. If one

More information

On the Uncertainty of Sensors Based on Magnetic Effects. E. Hristoforou, E. Kayafas, A. Ktena, DM Kepaptsoglou

On the Uncertainty of Sensors Based on Magnetic Effects. E. Hristoforou, E. Kayafas, A. Ktena, DM Kepaptsoglou On the Uncertinty of Sensors Bsed on Mgnetic Effects E. ristoforou, E. Kyfs, A. Kten, DM Kepptsoglou Ntionl Technicl University of Athens, Zogrfou Cmpus, Athens 1578, Greece Tel: +3177178, Fx: +3177119,

More information

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

More information

Designing Information Devices and Systems I Spring 2018 Homework 7

Designing Information Devices and Systems I Spring 2018 Homework 7 EECS 16A Designing Informtion Devices nd Systems I Spring 2018 omework 7 This homework is due Mrch 12, 2018, t 23:59. Self-grdes re due Mrch 15, 2018, t 23:59. Sumission Formt Your homework sumission should

More information

Problem Set 3 Solutions

Problem Set 3 Solutions Chemistry 36 Dr Jen M Stndrd Problem Set 3 Solutions 1 Verify for the prticle in one-dimensionl box by explicit integrtion tht the wvefunction ψ ( x) π x is normlized To verify tht ψ ( x) is normlized,

More information

13.4 Work done by Constant Forces

13.4 Work done by Constant Forces 13.4 Work done by Constnt Forces We will begin our discussion of the concept of work by nlyzing the motion of n object in one dimension cted on by constnt forces. Let s consider the following exmple: push

More information

y b y y sx 2 y 2 z CHANGE OF VARIABLES IN MULTIPLE INTEGRALS

y b y y sx 2 y 2 z CHANGE OF VARIABLES IN MULTIPLE INTEGRALS ECION.8 CHANGE OF VAIABLE IN MULIPLE INEGAL 73 CA tive -is psses throgh the point where the prime meridin (the meridin throgh Greenwich, Englnd) intersects the eqtor. hen the ltitde of P is nd the longitde

More information

spring from 1 cm to 2 cm is given by

spring from 1 cm to 2 cm is given by Problem [8 pts] Tre or Flse. Give brief explntion or exmple to jstify yor nswer. ) [ pts] Given solid generted by revolving region bot the line x, if we re sing the shell method to compte its volme, then

More information

Key comparison BIPM.RI(I)-K3 of the air-kerma standards of the PTB, Germany and the BIPM in medium-energy x-rays

Key comparison BIPM.RI(I)-K3 of the air-kerma standards of the PTB, Germany and the BIPM in medium-energy x-rays Key comprison BIPM.RI(I)-K3 of the ir-kerm stndrds of the PTB, Germny nd the BIPM in medium-energy x-rys D.T. Burns 1, C Kessler 1, L Büermnn 2 1 Bureu Interntionl des Poids et Mesures (BIPM), Pvillon

More information

Question 1: Figure 1: Schematic

Question 1: Figure 1: Schematic Question : θ Figure : Schemtic Consider chnnel of height with rectngulr cross section s shown in the sketch. A hinged plnk of length L < nd t n ngle θ is locted t the center of the chnnel. You my ssume

More information

Math Calculus with Analytic Geometry II

Math Calculus with Analytic Geometry II orem of definite Mth 5.0 with Anlytic Geometry II Jnury 4, 0 orem of definite If < b then b f (x) dx = ( under f bove x-xis) ( bove f under x-xis) Exmple 8 0 3 9 x dx = π 3 4 = 9π 4 orem of definite Problem

More information

4.1 One-to-One Functions; Inverse Functions. EX) Find the inverse of the following functions. State if the inverse also forms a function or not.

4.1 One-to-One Functions; Inverse Functions. EX) Find the inverse of the following functions. State if the inverse also forms a function or not. 4.1 One-to-One Functions; Inverse Functions Finding Inverses of Functions To find the inverse of function simply switch nd y vlues. Input becomes Output nd Output becomes Input. EX) Find the inverse of

More information

Non-Linear & Logistic Regression

Non-Linear & Logistic Regression Non-Liner & Logistic Regression If the sttistics re boring, then you've got the wrong numbers. Edwrd R. Tufte (Sttistics Professor, Yle University) Regression Anlyses When do we use these? PART 1: find

More information

Answers to the Conceptual Questions

Answers to the Conceptual Questions Chpter 3 Explining Motion 41 Physics on Your Own If the clss is not too lrge, tke them into freight elevtor to perform this exercise. This simple exercise is importnt if you re going to cover inertil forces

More information

The momentum of a body of constant mass m moving with velocity u is, by definition, equal to the product of mass and velocity, that is

The momentum of a body of constant mass m moving with velocity u is, by definition, equal to the product of mass and velocity, that is Newtons Lws 1 Newton s Lws There re three lws which ber Newton s nme nd they re the fundmentls lws upon which the study of dynmics is bsed. The lws re set of sttements tht we believe to be true in most

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

Problem set 5: Solutions Math 207B, Winter r(x)u(x)v(x) dx.

Problem set 5: Solutions Math 207B, Winter r(x)u(x)v(x) dx. Problem set 5: Soltions Mth 7B, Winter 6. Sppose tht p : [, b] R is continosly differentible fnction sch tht p >, nd q, r : [, b] R re continos fnctions sch tht r >, q. Define weighted inner prodct on

More information

Set up Invariable Axiom of Force Equilibrium and Solve Problems about Transformation of Force and Gravitational Mass

Set up Invariable Axiom of Force Equilibrium and Solve Problems about Transformation of Force and Gravitational Mass Applied Physics Reserch; Vol. 5, No. 1; 013 ISSN 1916-9639 E-ISSN 1916-9647 Published by Cndin Center of Science nd Eduction Set up Invrible Axiom of orce Equilibrium nd Solve Problems bout Trnsformtion

More information

Section 6: Area, Volume, and Average Value

Section 6: Area, Volume, and Average Value Chpter The Integrl Applied Clculus Section 6: Are, Volume, nd Averge Vlue Are We hve lredy used integrls to find the re etween the grph of function nd the horizontl xis. Integrls cn lso e used to find

More information

The Moving Center of Mass of a Leaking Bob

The Moving Center of Mass of a Leaking Bob The Moving Center of Mss of Leking Bob rxiv:1002.956v1 [physics.pop-ph] 21 Feb 2010 P. Arun Deprtment of Electronics, S.G.T.B. Khls College University of Delhi, Delhi 110 007, Indi. Februry 2, 2010 Abstrct

More information

Comparison Procedures

Comparison Procedures Comprison Procedures Single Fctor, Between-Subects Cse /8/ Comprison Procedures, One-Fctor ANOVA, Between Subects Two Comprison Strtegies post hoc (fter-the-fct) pproch You re interested in discovering

More information

Exam 1 Solutions (1) C, D, A, B (2) C, A, D, B (3) C, B, D, A (4) A, C, D, B (5) D, C, A, B

Exam 1 Solutions (1) C, D, A, B (2) C, A, D, B (3) C, B, D, A (4) A, C, D, B (5) D, C, A, B PHY 249, Fll 216 Exm 1 Solutions nswer 1 is correct for ll problems. 1. Two uniformly chrged spheres, nd B, re plced t lrge distnce from ech other, with their centers on the x xis. The chrge on sphere

More information

Reinforcement learning II

Reinforcement learning II CS 1675 Introduction to Mchine Lerning Lecture 26 Reinforcement lerning II Milos Huskrecht milos@cs.pitt.edu 5329 Sennott Squre Reinforcement lerning Bsics: Input x Lerner Output Reinforcement r Critic

More information

MATH STUDENT BOOK. 10th Grade Unit 5

MATH STUDENT BOOK. 10th Grade Unit 5 MATH STUDENT BOOK 10th Grde Unit 5 Unit 5 Similr Polygons MATH 1005 Similr Polygons INTRODUCTION 3 1. PRINCIPLES OF ALGEBRA 5 RATIOS AND PROPORTIONS 5 PROPERTIES OF PROPORTIONS 11 SELF TEST 1 16 2. SIMILARITY

More information

Chapter 3 Polynomials

Chapter 3 Polynomials Dr M DRAIEF As described in the introduction of Chpter 1, pplictions of solving liner equtions rise in number of different settings In prticulr, we will in this chpter focus on the problem of modelling

More information

Chapter 0. What is the Lebesgue integral about?

Chapter 0. What is the Lebesgue integral about? Chpter 0. Wht is the Lebesgue integrl bout? The pln is to hve tutoril sheet ech week, most often on Fridy, (to be done during the clss) where you will try to get used to the ides introduced in the previous

More information