Probing the strain distribution within a single crystal superalloy during high temperature testing

Size: px
Start display at page:

Download "Probing the strain distribution within a single crystal superalloy during high temperature testing"

Transcription

1 MATEC We of Conferenes 14, (2014) DOI: /mteonf/ Owned y the uthors, pulished y EDP Sienes, 2014 Proing the strin distriution within single rystl superlloy during high temperture testing Alin Jques 1,, Mohmed Biskri 1, Thoms Shenk 1, Jen Philippe Chteu Cornu 1, nd Pierre Bstie 2 1 Institut Jen Lmour (UMR CNRS-UL N 7198), Lex DAMAS, Pr de Surupt, Nny, Frne 2 LiPhy, 140 Avenue de l Physique, BP. 87, Sint-Mrtin-d Hères, Frne Astrt. The omintion of in situ high resolution diffrtion experiments with synhrotron rdition nd mehnil nd diffrtion modelling is used to investigte the mirostruture nd mehnil stte of single rystl superlloys during high temperture tests: very high temperture nneling without externl lod nd reep test. 1. Introdution Single rystl superlloys re oth strtegi industril mterils nd model mterils to understnd nd predit the plsti ehviour of polyphsed mterils. As the onversion effiieny of therml motors suh s turoretors nd gs turines is linked to their operting tempertures, the ility to mnufture the omponents of their hottest prts (high pressure turine ldes nd vnes) nd to predit their ehviour nd life time under vrious onditions from norml use to extreme events is of mjor industril interest. Besides their industril importne, single rystl superlloys hve either uoid mirostruture, or solled rfted mirostruture: they re mde of oherent uoids or of semi oherent pltelets of hrd L1 2 phse perpendiulr to the [001] tensile xis [1, 2] emedded within dutile f mtrix. Differenes etween the mehnil ehviour of the two phses nd lttie mismth of few 10 3 generte internl stresses whih superimpose to the pplied lod. At high temperture, the mtrix deforms y glide of perfet /2<110> dislotions, while the plsti strin of the phse is elieved to our y lim of <100> nd/or <110> dislotions exhnging vnies [3]. In order to uild physilly (i.e. dislotion) sed onstitutive lws not only for the omposite mteril, ut for eh phse, mrosopi dt suh s the pplied stress nd the verge strin rte re insuffiient: we need t lest to know the verge stress (strin) stte of eh phse, or etter the distriution of stresses (strins) within eh phse. We lso need tool to hek the vlidity of suh lws. The im of the present pper is to show tht the omintion of in situ experiments using high resolution synhrotron X-Ry diffrtometry nd diffrtion pek modelling n e suh tool. Corresponding uthor: lin.jques@univ-lorrine.fr 2. Experiments Figure 1 shows the lyout of Three Crystl Diffrtometer [4]. The initil polyhromti X-Ry em first goes through (311) silion monohromtor. The monohromtized em is then diffrted y the smple ((200) diffrting vetor): different res in Brgg onditions with slightly different lttie prmeters stter the em into slightly different diretions. A seond (311) silion rystl lled nlyser diffrts gin one of those ems into n energy sensitive Ge detetor. A rottion of the nlyser proes the distriution of the ems sttered y the speimen, i.e. the distriution of interplnr distnes within the speimen, while rottion of the speimen mesures the distriution of orienttions of the diffrting plnes. As the (311) refletion of silion is very nrrow, the instrumentl width of the devie is lower thn seond of r for 3.65 two thet ngle nd n e negleted. A further redution of the kground n e otined y use of doule rystl diffrtometer. Using the high energy em of the ID 15 emline of the ESRF or the P07 emline of the PETRA III ring t Hsyl (etween 100 kev nd 150keV), it is possile to do experiments in trnsmission nd to mesure lttie prmeters in the ulk of the speimens. Thnks to the high intensity of the synhrotron em, 200 points sn n e reorded in less thn 5 minutes: it is possile to study the response of the mteril t short time intervls following hnge of the pplied lod or temperture. 3. Sttering y strined mteril The shpe of diffrtion pek depends on the distriution of lttie strins within the mteril nd the size of the oherent zones. If we ssume tht the oherene length of X-Rys is lrger thn few mirometres, the mplitude sttered in the viinity of vetor G of the reiprol lttie long vetor q = G+q n e written s: A(q ) = FT{f(x). exp[2iπg.u(x)]}. (1) This is n Open Aess rtile distriuted under the terms of the Cretive Commons Attriution Liense 4.0, whih permits unrestrited use, distriution, nd reprodution in ny medium, provided the originl work is properly ited. Artile ville t or

2 MATEC We of Conferenes x (µm) Figure 1. Three Crystl Diffrtometer. Where FT indites the Fourier Trnsform, f(x) is the lol sttering ftor (depending on the lol hemistry nd lol struture mplitude), nd u(x) is the displement field within the mteril [5]. The diffrted intensity n then e otined y tking I = A.A*, where A* is the omplex onjugte of A. If the displement field n e lulted, it is thus possile to generte theoretil diffrtion pek whih my e ompred to n experimentl one. Vrious methods n e used: Diret lultion of the superposition of the displement fields of individul uoidl inlusions. Finite element methods. Fourier trnsform methods [6]. While the first two methods re omputer intensive nd, in the first se, require nlytil formuls, Fst Fourier Trnsform (FFT) methods re quite effiient for lrge numers of voxels. (The sme lultion for volume tkes 23 hours on desktop omputer with the first method, nd 12 minutes with the third.) Furthermore, FFT lultions n e extended esily for inhomogeneous mterils with nisotropi elsti properties [7]. Figure 2 shows first exmple of the displement field U x lulted in suh wy for 2 µm ue of superlloy ontining 0.7 volume frtion of preipittes (size pprox µm. See dotted lines) nd lttie mismth. The orresponding pek, nd top view of its enlrged til re given in Figs. 2 nd 2, while Fig. 2d shows the TCD profiles (vertilly offset) expeted for the sme uoids mirostruture, ut with ues hving evelled edges nd orners. While for perfet ues, low nd wide pek is expeted for strin, nrrower ut tller pek is otined t for 0.1 µm evel. Assuming onstnt volume frtion 1-f of mtrix, lrge evel results in more phse t the edges (irleinfig.2) nd orners, nd less in the orridors (retngle) whih eome thinner: the intensity sttered y the orridors is lower nd distriuted on wider pek. The min pek lso eomes slightly thinner s the highly stressed elsti singulrities t the orners of the ues dispper. Lst, the distriution of uoid sizes is wider in rel mirostruture thn in the present model. 4. Spontneous loss of oherene during high temperture nneling 4.1. Experimentl results. Figure 3 shows the evolution of the high resolution (200) diffrtion pek of speimen with uoid Ux (nm) (200) / Figure 2. yx plot of the displement field in the x diretion in superlloy nd profile long the stright vertil line (), nd (200) diffrtion peks (,,d). See text for detils. mirostruture during high temperture nneling t 1130 C. The top of the pek (Fig. 3) ws reorded with 1 seond ounting time per step, while 5 seonds reording nd verging were used for the tils (Logrithmi sle, Fig. 3. All diffrtion profiles were normlized to onstnt unit re for omprison. The pek intensity y d p.2

3 EUROSUPERALLOYS 2014 ' + strin pek deresed. Another wider pek ppered t strin The height of the left til (Logrithmi sle) ws unhnged, while it slightly deresed on the right side. After ooling, polishing nd hemil ething (66% HCl et 33% HNO 3 ), the speimens were oserved y SEM. Lines orresponding to dislotion tres n e seen t the surfe of the uoids, with n verge distne of out 0.02 µm. During the high temperture nneling, the volume frtion ws lower thn t room temperture, nd the orridors wider. The mgnitude of the lttie mismth ws lrger thn 0.003, nd the oherene stresses eme lrger thn the Orown stress, llowing dislotions to glide into the orridors nd prtly relese the oherene stresses. As this plsti relxtion llowed the lttie prmeter of the orridors prllel to (200) to inrese in the [100] diretion, the orresponding pek shifted to the right. The intensity sttered t the position of the pek thus deresed. The high lttie prmeter of the orridors perpendiulr to (200) ws due to the oherene stresses in the (100) plne: s these stresses deresed, the position of the pek shifted to the left Pek modelling Figure 3. High resolution diffrtion pek of superlloy t 1130 C in liner () nd logrithmi () sle. SEM mirogrph (1 µm mrk) fter hemil ething. t the top is 500 (ritrry units) nd the tils level t 0.01: the pek to kground rtio is lose to the 10 5 rnge. The min pek orresponds to the uoids with ontriution of the orridors prllel to the (200) diffrting vetor. The til on the lrge prmeters side (Fig. 3, right) is due to the orridors perpendiulr to (200) [8]. The long rnge tils nerly follow n ε 4 lw: this is proly Hung sttering resulting from the highly strined zones on the viinity of point defets. At intermedite strins, n interesting feture of the peks is their exponentil til (i.e. their liner slope when seen with logrithmi sle). The inverses of these slopes re defined s the W nd W prmeters whih will e disussed elow. During nneling, the width of the min pek nd its til deresed progressively, nd the height of the Figure 4 shows simultion of the diffrtion pek (thin lk line) for omprison with the experimentl pek reorded t 100 minutes (Fig. 3). The displement field ws lulted in 2 µm 3 representtive volume ontining 64 uoids with rndom size nd position (0.42 volume frtion of phse), nd ssuming lttie mismth etween oth phses. By ritrrily giving 0 nd 1 sttering mplitude to the (lue) nd the (red) phses, it is possile to lulte their ontriutions to the peks. The pek ontriutes to the min pek only, while the intensity is distriuted etween the min pek (oherent orridors prllel to the g vetor), the highly strined orridors perpendiulr to the edges (retngles in Fig. 2) nd the ue edges (irles). A evel t the ues orners nd edges ws ssumed: this is proly n underestimted vlue, s the re of the intermedite pek is lower thn the experimentl one, nd the right pek higher. Lst, the width of the lulted intermedite pek is lower thn the experimentl one. Figure 4 ompres the (green) experimentl pek reorded t 480 minutes nd peks simulted ssuming tht the lttie mismth hd een hlf relxed y infinitesiml dislotions. Both nd peks re thinner thn in the unrelxed mirostruture (their width is pproximtely divided y two) nd their positions hve een reltively shifted y , i.e. the plsti strin. However, if the lulted peks hve orret positions, they re thinner thn the experimentl ones: n ingredient is missing in the lultion. We elieve this ft results from the hoie to use infinitesiml dislotions insted of perfet dislotions of the mtrix: s the lttie plnes remin ontinuous etween interfe dislotions, there is no jump of the lttie prmeters nd some intensity should e diffrted etween the two peks of Fig p.3

4 MATEC We of Conferenes strin w ( ) (10 s ) t (10 3 s) W (10-3 ) Figure 4. Simulted high resolution diffrtion pek of superlloy with n unrelxed () nd hlf relxed () mirostruture. 5. Pek widening during reep 5.1. Experimentl results Figure 5 shows the evolution of the W nd W prmeters of the diffrtion peks of rfted superlloy during tensile reep test under vrile lod t 1080 C[9]. The pplied lod σ nd the strin rtes of eh phse ( :thin line nd : thik line) re given for omprison. The W prmeter of the pek remins onstnt during the eginning of the test, nd only egins to inrese fter jump of the pplied lod up to 200 MP. After prtil unloding of the speimen t t = s, it returns to its initil vlue. The W prmeter is initilly It egins to inrese t s, under 150 MP pplied lod, when the strin rte of the phse is in the 10 8 s 1 rnge. It inreses up to Figure 5. ) Plot of the vritions with time (1000 s) of t the mximum lod, then dereses to the pplied lod (top), the W (empty dimonds) nd W (full fter unloding. dimonds) fit prmeters (10 In the W vs. W plot of Fig. 5, the experimentl points 3 strin units, ottom left hnd sle) nd the strin rte of eh phse (ottom right hnd sle). initilly move from A to B, then move to the top nd ) Plot of W vs. W. ) Post mortem TEM mirogrph tken fter downwrds long the stright BC line. The slope of BC vries with temperture in the 980 C to 1130 ooling of the speimen under high stress. C rnge. Under high stresses, the evolutions of W nd W re thus orrelted, nd re elieved to e relted to the dislotion 5.2. Lol stresses nd long rnge stresses density within the phse. This my e heked in Fig. 5, whih shows m 2 dislotion density Long rnge stresses in TEM mirogrph of the sme speimen fter ooling under high lod, s the (W, W ) point ws t C. The sme ehviour ws oserved on ll speimens Figure 6 shemtizes the distriution of stresses within strined t tempertures higher thn 980 C. the rfted mirostruture t the eginning of the seond p.4

5 EUROSUPERALLOYS 2014 stge of reep urve. During stge I, dislotions moved within the (ler) orridors etween (drk) rfts, nd left dislotion segments t the / interfes. If given time, these segments my ret to form new dislotion segments with their Burgers vetor perpendiulr to the [001] tensile xis, nd form more or less relxed dislotion wll. The stress stte of mtter within the mirostruture is then the sum of the pplied lod σ zz = σ, nd of oherene stresses long the x nd y diretions due to the lttie mismth δ nd the stress field of the interfil dislotion wlls. It hs een shown in [9] tht the verge resolved sher stress for the plstiity of the orridors is equl to the verge Orown stress σ O. We my dmit this remins true for eh orridor: new dislotions my enter orridor s soon s the lol Von Mises stress σ VM = σ zz σ xx is equl to the Orown stress for this orridor. These dislotions will stop entering s soon s the inresed stress field of the dislotion wlls t the interfes etween the sme orridor nd its neighouring rfts hs eome lrge enough to repel them. We n thus expet eh orridor to hve on its oth interfes dislotion wlls with the sme dislotion density. On the ontrry, different orridors with different thiknesses nd different Orown stresses will hve different interfil dislotion densities. From this, we n expet heterogeneous distriution of internl stresses in the phse (i.e. wide pek), nd homogenous distriution of stresses in the rfts, euse the stress fields of the interfe dislotions of the orridor etween two neighouring rfts will nel. When the pplied lod is high enough, the rfts egin to deform plstilly. As in the se of orridors, new dislotions will e dded t the interfes on oth sides of rft, or will nel with existing ones. If the plsti strin is the sme in ll rfts, the sme numer of dislotions will dispper on oth sides of ll interfes, nd the distriution of stresses will remin the sme. Conversely, if some rfts deform more or less thn others (Fig. 6), the density of dislotions on oth sides of orridor will eome different, nd the stress fields of oth interfes will no longer nel: the internl stresses within the phse will eome heterogeneous, nd the width of the pek will inrese Dislotions nd reversile hnges in the shpes of the diffrtion peks While the ontriution of dislotions hs not yet een tken into ount in our modelling of diffrtion peks, it is ovious from Fig. 4 tht it is importnt. We shll here first rule out the effet of interfe dislotions, then onsider the effet of dislotions moving within the rfts on the distriution of elsti strins within the mteril. (As dislotions re more moile in the orridors thn in the rfts, their densities should e muh lower). The highly distorted res in the viinity of the ores of interfe dislotions should strongly ontriute to the pek tils, t distnes d lower thn hlf the distne etween these dislotions, i.e. d < m. The orresponding strin is /2πd = , more thn five times lrger thn the distne etween the nd peks. At sles intermedite etween d nd the Figure 6. Homogeneity nd heterogeneity of the interfe dislotion ontriution to the σ xx omponent of the stress tensor, efore nd fter the onset of plstiity within the rfts. orridor thikness, we my expet flututions of the elsti strin whih derese s the distne d i to the interfe inreses. The derese is exponentil for n infinite periodi dislotion wll [10]. If we onsider disordered wlls, the vrine of the strin flututions my derese s (d/di) 1 or (d/di) 3 depending on the type of disorder [11,12]. As the rfts re thiker thn the orridors, the ontriution of these flututions is proly lrger in the se of the pek: the slope of the W vs. W plot Fig. 3 should e smller thn one. The flututions should lso e lrger when the disorder is high, when new dislotions re dded rndomly t the interfes, i.e. when the strin rte of the orridors is high. They might then smooth out when the strin rte dereses gin, nd interfe dislotions my rerrnge into more orderly, low energy wy. The evidene for suh trnsient pek width inrese is sre in Fig. 5. Severl rguments support link etween dislotions within the phse nd the reversile widening of the peks: Both peks thiken when the strin rte of the rfts is high. Dislotion densities oserved y TEM (Fig. 5) re ner m 2 when the experiment is stopped t high strin rtes for lrge vlues of W nd W, nd m 2 or lower when W nd W were llowed to relx under low stress. The slope of the W vs. W plots is higher thn one: s the lrgest flututions our ner the dislotion ores, the orridors re shielded. An ttempt to model the evolution of the distriution of elsti strins with the dislotion density using 2D simultion is shown in Fig. 7. A 2D superell 20 2 µm 2 wide ontining stk of 40 - periods with lognorml size distriution nd 0.6 frtion of ws uilt. Different densities ρ d of edge dislotions with p.5

6 MATEC We of Conferenes Log 10 (I) (u) superlloy thn just pek positions. The peks re very sensitive to the detils of the mirostruture (evelled ues) nd the distriution of elsti strins within the mirostruture. Thus, in situ diffrtion n eome very powerful tool to test the results of models of the plsti ehviour of superlloys. However, full nlysis of those peks will require extensive mehnil nd physil modelling of the mteril, tking mny effets into ount: elsti nisotropy nd inhomogeneity, point defets, nd most of ll dislotions: further work is needed. ε 3 *I Log 10 (w) The uthors would like to thnk the ESRF (ID15A emline) nd DESY (P07 emline, CALIPSO: EU Support of Aess to Synhrotrons/FELs in Europe ) for emtime nd help for the experiments, nd Snem (SAFRAN) for providing the AM1 speimens. ε ρ d Figure 7. 2D modelling of the distriution of elsti strins due to dislotion within the rfts. ) Model; ) strin distriution in oth phses; ) plot of ε 3.I(ε) vs.ε; d)evolutionofthew prmeters with the dislotion density within the rfts. [100] Burgers vetors t rndom positions (ut the sme numer of positive nd negtive signs in eh rft) were dded in the rfts. The distriution of strins ws lulted for n isotropi nd homogenous mteril using periodi onditions, nd is given for oth phses in Fig. 7 for ρ d = As expeted, the pek is wider nd hs lrger til: the plot of ε 3.I(ε) in ) shows tht the tils of the distriution indeed vries s ε 3 [13,14] inthe phse for strins lrger thn 0.01, nd dereses fster in the phse. The doule logrithmi plot in Fig. 7d shows tht W nd W vry s power lws of ρ d with exponents 0.49 (W) nd 0.64 (W ). From sttistil rguments (the vrine of W nd W should vry s the dislotion density), 0.5 exponent is expeted. Lst, the shpe of diffrtion pek does not depend only on the distriution of strin, ut lso on the size of oherent zones, whih nnot e modelled in the present pproximtion. 6. Conlusion From the present exmples, it n e seen tht high resolution diffrtion peks n give muh more dt on d Referenes [1] P. Cron nd T. Khn, Mterils Siene nd Engineering 61, (1983) 173 [2] T.M. Pollok nd A.S. Argon, At Metll. Mter 40, (1992) 1 [3] F. Mompiou nd D. Cillrd, Mter. Si. Eng. A 483, (2008) 143 [4] K. D. Liss et l., J. Synhrotron Rd. 5, (1998) 82 [5] N. Vxelire et l, New Journl of Physis 12, (2010) [6] T. Mur, Miromehnis of defets in solids 2 nd edition, Mrtinus Nijhof editions (1987), ISBN X [7] H. Mouline, P. Suquet, Comp. Meth. Appl. Meh. Engng. 157, (1998) [8] H. Mughri, H. Biermnn nd T. Ungr, Journl of Mteril Engineering nd Performne 2(4), 557 (1993) [9] L. Dirnd et l., Phil. Mg. 93 (2013) 1384 [10] J.P. Hirth nd J. Lothe, Theory of dislotions, 2nd New edition of Revised edition, Krieger Pulishing Compny (1991) ISBN-13: [11] G. Sd nd E. Bouhud, At Metll. 41, (1993) 2173 [12] G. Sd nd D. Sornette, At Metll. 43, (1995) 313 [13] T. Ungár, nd A. Borély, Applied Physis Letters 69, (21), (1996) 3173 [14] I. Grom, nd A. Borély, A. Diff. Anlysis of the Mirost. of Mterils 68 (2004) p.6

First compression (0-6.3 GPa) First decompression ( GPa) Second compression ( GPa) Second decompression (35.

First compression (0-6.3 GPa) First decompression ( GPa) Second compression ( GPa) Second decompression (35. 0.9 First ompression (0-6.3 GP) First deompression (6.3-2.7 GP) Seond ompression (2.7-35.5 GP) Seond deompression (35.5-0 GP) V/V 0 0.7 0.5 0 5 10 15 20 25 30 35 P (GP) Supplementry Figure 1 Compression

More information

GM1 Consolidation Worksheet

GM1 Consolidation Worksheet Cmridge Essentils Mthemtis Core 8 GM1 Consolidtion Worksheet GM1 Consolidtion Worksheet 1 Clulte the size of eh ngle mrked y letter. Give resons for your nswers. or exmple, ngles on stright line dd up

More information

THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL

THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL P3.1 Kot Iwmur*, Hiroto Kitgw Jpn Meteorologil Ageny 1. INTRODUCTION Jpn Meteorologil Ageny

More information

Generalization of 2-Corner Frequency Source Models Used in SMSIM

Generalization of 2-Corner Frequency Source Models Used in SMSIM Generliztion o 2-Corner Frequeny Soure Models Used in SMSIM Dvid M. Boore 26 Mrh 213, orreted Figure 1 nd 2 legends on 5 April 213, dditionl smll orretions on 29 My 213 Mny o the soure spetr models ville

More information

for all x in [a,b], then the area of the region bounded by the graphs of f and g and the vertical lines x = a and x = b is b [ ( ) ( )] A= f x g x dx

for all x in [a,b], then the area of the region bounded by the graphs of f and g and the vertical lines x = a and x = b is b [ ( ) ( )] A= f x g x dx Applitions of Integrtion Are of Region Between Two Curves Ojetive: Fin the re of region etween two urves using integrtion. Fin the re of region etween interseting urves using integrtion. Desrie integrtion

More information

1.3 SCALARS AND VECTORS

1.3 SCALARS AND VECTORS Bridge Course Phy I PUC 24 1.3 SCLRS ND VECTORS Introdution: Physis is the study of nturl phenomen. The study of ny nturl phenomenon involves mesurements. For exmple, the distne etween the plnet erth nd

More information

Symmetrical Components 1

Symmetrical Components 1 Symmetril Components. Introdution These notes should e red together with Setion. of your text. When performing stedy-stte nlysis of high voltge trnsmission systems, we mke use of the per-phse equivlent

More information

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides. 1 PYTHAGORAS THEOREM 1 1 Pythgors Theorem In this setion we will present geometri proof of the fmous theorem of Pythgors. Given right ngled tringle, the squre of the hypotenuse is equl to the sum of the

More information

Review Topic 14: Relationships between two numerical variables

Review Topic 14: Relationships between two numerical variables Review Topi 14: Reltionships etween two numeril vriles Multiple hoie 1. Whih of the following stterplots est demonstrtes line of est fit? A B C D E 2. The regression line eqution for the following grph

More information

Formula for Trapezoid estimate using Left and Right estimates: Trap( n) If the graph of f is decreasing on [a, b], then f ( x ) dx

Formula for Trapezoid estimate using Left and Right estimates: Trap( n) If the graph of f is decreasing on [a, b], then f ( x ) dx Fill in the Blnks for the Big Topis in Chpter 5: The Definite Integrl Estimting n integrl using Riemnn sum:. The Left rule uses the left endpoint of eh suintervl.. The Right rule uses the right endpoint

More information

Table of Content. c 1 / 5

Table of Content. c 1 / 5 Tehnil Informtion - t nd t Temperture for Controlger 03-2018 en Tble of Content Introdution....................................................................... 2 Definitions for t nd t..............................................................

More information

SECOND HARMONIC GENERATION OF Bi 4 Ti 3 O 12 FILMS

SECOND HARMONIC GENERATION OF Bi 4 Ti 3 O 12 FILMS SECOND HARMONIC GENERATION OF Bi 4 Ti 3 O 12 FILMS IN-SITU PROBING OF DOMAIN POLING IN Bi 4 Ti 3 O 12 THIN FILMS BY OPTICAL SECOND HARMONIC GENERATION YANIV BARAD, VENKATRAMAN GOPALAN Mterils Reserh Lortory

More information

Thermodynamics. Question 1. Question 2. Question 3 3/10/2010. Practice Questions PV TR PV T R

Thermodynamics. Question 1. Question 2. Question 3 3/10/2010. Practice Questions PV TR PV T R /10/010 Question 1 1 mole of idel gs is rought to finl stte F y one of three proesses tht hve different initil sttes s shown in the figure. Wht is true for the temperture hnge etween initil nd finl sttes?

More information

Introduction to Olympiad Inequalities

Introduction to Olympiad Inequalities Introdution to Olympid Inequlities Edutionl Studies Progrm HSSP Msshusetts Institute of Tehnology Snj Simonovikj Spring 207 Contents Wrm up nd Am-Gm inequlity 2. Elementry inequlities......................

More information

SECTION A STUDENT MATERIAL. Part 1. What and Why.?

SECTION A STUDENT MATERIAL. Part 1. What and Why.? SECTION A STUDENT MATERIAL Prt Wht nd Wh.? Student Mteril Prt Prolem n > 0 n > 0 Is the onverse true? Prolem If n is even then n is even. If n is even then n is even. Wht nd Wh? Eploring Pure Mths Are

More information

Lecture Notes No. 10

Lecture Notes No. 10 2.6 System Identifition, Estimtion, nd Lerning Leture otes o. Mrh 3, 26 6 Model Struture of Liner ime Invrint Systems 6. Model Struture In representing dynmil system, the first step is to find n pproprite

More information

Electromagnetism Notes, NYU Spring 2018

Electromagnetism Notes, NYU Spring 2018 Eletromgnetism Notes, NYU Spring 208 April 2, 208 Ation formultion of EM. Free field desription Let us first onsider the free EM field, i.e. in the bsene of ny hrges or urrents. To tret this s mehnil system

More information

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution Tehnishe Universität Münhen Winter term 29/ I7 Prof. J. Esprz / J. Křetínský / M. Luttenerger. Ferur 2 Solution Automt nd Forml Lnguges Homework 2 Due 5..29. Exerise 2. Let A e the following finite utomton:

More information

PAIR OF LINEAR EQUATIONS IN TWO VARIABLES

PAIR OF LINEAR EQUATIONS IN TWO VARIABLES PAIR OF LINEAR EQUATIONS IN TWO VARIABLES. Two liner equtions in the sme two vriles re lled pir of liner equtions in two vriles. The most generl form of pir of liner equtions is x + y + 0 x + y + 0 where,,,,,,

More information

Project 6: Minigoals Towards Simplifying and Rewriting Expressions

Project 6: Minigoals Towards Simplifying and Rewriting Expressions MAT 51 Wldis Projet 6: Minigols Towrds Simplifying nd Rewriting Expressions The distriutive property nd like terms You hve proly lerned in previous lsses out dding like terms ut one prolem with the wy

More information

8 THREE PHASE A.C. CIRCUITS

8 THREE PHASE A.C. CIRCUITS 8 THREE PHSE.. IRUITS The signls in hpter 7 were sinusoidl lternting voltges nd urrents of the so-lled single se type. n emf of suh type n e esily generted y rotting single loop of ondutor (or single winding),

More information

22: Union Find. CS 473u - Algorithms - Spring April 14, We want to maintain a collection of sets, under the operations of:

22: Union Find. CS 473u - Algorithms - Spring April 14, We want to maintain a collection of sets, under the operations of: 22: Union Fin CS 473u - Algorithms - Spring 2005 April 14, 2005 1 Union-Fin We wnt to mintin olletion of sets, uner the opertions of: 1. MkeSet(x) - rete set tht ontins the single element x. 2. Fin(x)

More information

5. Every rational number have either terminating or repeating (recurring) decimal representation.

5. Every rational number have either terminating or repeating (recurring) decimal representation. CHAPTER NUMBER SYSTEMS Points to Rememer :. Numer used for ounting,,,,... re known s Nturl numers.. All nturl numers together with zero i.e. 0,,,,,... re known s whole numers.. All nturl numers, zero nd

More information

( ) { } [ ] { } [ ) { } ( ] { }

( ) { } [ ] { } [ ) { } ( ] { } Mth 65 Prelulus Review Properties of Inequlities 1. > nd > >. > + > +. > nd > 0 > 4. > nd < 0 < Asolute Vlue, if 0, if < 0 Properties of Asolute Vlue > 0 1. < < > or

More information

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths Intermedite Mth Cirles Wednesdy 17 Otoer 01 Geometry II: Side Lengths Lst week we disussed vrious ngle properties. As we progressed through the evening, we proved mny results. This week, we will look t

More information

Arrow s Impossibility Theorem

Arrow s Impossibility Theorem Rep Fun Gme Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Fun Gme Properties Arrow s Theorem Leture Overview 1 Rep 2 Fun Gme 3 Properties

More information

Spacetime and the Quantum World Questions Fall 2010

Spacetime and the Quantum World Questions Fall 2010 Spetime nd the Quntum World Questions Fll 2010 1. Cliker Questions from Clss: (1) In toss of two die, wht is the proility tht the sum of the outomes is 6? () P (x 1 + x 2 = 6) = 1 36 - out 3% () P (x 1

More information

Lecture 6: Coding theory

Lecture 6: Coding theory Leture 6: Coing theory Biology 429 Crl Bergstrom Ferury 4, 2008 Soures: This leture loosely follows Cover n Thoms Chpter 5 n Yeung Chpter 3. As usul, some of the text n equtions re tken iretly from those

More information

QUADRATIC EQUATION. Contents

QUADRATIC EQUATION. Contents QUADRATIC EQUATION Contents Topi Pge No. Theory 0-04 Exerise - 05-09 Exerise - 09-3 Exerise - 3 4-5 Exerise - 4 6 Answer Key 7-8 Syllus Qudrti equtions with rel oeffiients, reltions etween roots nd oeffiients,

More information

Comparing the Pre-image and Image of a Dilation

Comparing the Pre-image and Image of a Dilation hpter Summry Key Terms Postultes nd Theorems similr tringles (.1) inluded ngle (.2) inluded side (.2) geometri men (.) indiret mesurement (.6) ngle-ngle Similrity Theorem (.2) Side-Side-Side Similrity

More information

AP CALCULUS Test #6: Unit #6 Basic Integration and Applications

AP CALCULUS Test #6: Unit #6 Basic Integration and Applications AP CALCULUS Test #6: Unit #6 Bsi Integrtion nd Applitions A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS IN THIS PART OF THE EXAMINATION. () The ext numeril vlue of the orret

More information

Appendix C Partial discharges. 1. Relationship Between Measured and Actual Discharge Quantities

Appendix C Partial discharges. 1. Relationship Between Measured and Actual Discharge Quantities Appendi Prtil dishrges. Reltionship Between Mesured nd Atul Dishrge Quntities A dishrging smple my e simply represented y the euilent iruit in Figure. The pplied lternting oltge V is inresed until the

More information

A Study on the Properties of Rational Triangles

A Study on the Properties of Rational Triangles Interntionl Journl of Mthemtis Reserh. ISSN 0976-5840 Volume 6, Numer (04), pp. 8-9 Interntionl Reserh Pulition House http://www.irphouse.om Study on the Properties of Rtionl Tringles M. Q. lm, M.R. Hssn

More information

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then.

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then. pril 8, 2017 Mth 9 Geometry Solving vetor prolems Prolem Prove tht if vetors nd stisfy, then Solution 1 onsider the vetor ddition prllelogrm shown in the Figure Sine its digonls hve equl length,, the prllelogrm

More information

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3 2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is

More information

PYTHAGORAS THEOREM WHAT S IN CHAPTER 1? IN THIS CHAPTER YOU WILL:

PYTHAGORAS THEOREM WHAT S IN CHAPTER 1? IN THIS CHAPTER YOU WILL: PYTHAGORAS THEOREM 1 WHAT S IN CHAPTER 1? 1 01 Squres, squre roots nd surds 1 02 Pythgors theorem 1 03 Finding the hypotenuse 1 04 Finding shorter side 1 05 Mixed prolems 1 06 Testing for right-ngled tringles

More information

On the Scale factor of the Universe and Redshift.

On the Scale factor of the Universe and Redshift. On the Sle ftor of the Universe nd Redshift. J. M. unter. john@grvity.uk.om ABSTRACT It is proposed tht there hs been longstnding misunderstnding of the reltionship between sle ftor of the universe nd

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

1 Bending of a beam with a rectangular section

1 Bending of a beam with a rectangular section 1 Bending of bem with rectngulr section x3 Episseur b M x 2 x x 1 2h M Figure 1 : Geometry of the bem nd pplied lod The bem in figure 1 hs rectngur section (thickness 2h, width b. The pplied lod is pure

More information

6.5 Improper integrals

6.5 Improper integrals Eerpt from "Clulus" 3 AoPS In. www.rtofprolemsolving.om 6.5. IMPROPER INTEGRALS 6.5 Improper integrls As we ve seen, we use the definite integrl R f to ompute the re of the region under the grph of y =

More information

2. VECTORS AND MATRICES IN 3 DIMENSIONS

2. VECTORS AND MATRICES IN 3 DIMENSIONS 2 VECTORS AND MATRICES IN 3 DIMENSIONS 21 Extending the Theory of 2-dimensionl Vectors x A point in 3-dimensionl spce cn e represented y column vector of the form y z z-xis y-xis z x y x-xis Most of the

More information

a) Read over steps (1)- (4) below and sketch the path of the cycle on a P V plot on the graph below. Label all appropriate points.

a) Read over steps (1)- (4) below and sketch the path of the cycle on a P V plot on the graph below. Label all appropriate points. Prole 3: Crnot Cyle of n Idel Gs In this prole, the strting pressure P nd volue of n idel gs in stte, re given he rtio R = / > of the volues of the sttes nd is given Finlly onstnt γ = 5/3 is given You

More information

Arrow s Impossibility Theorem

Arrow s Impossibility Theorem Rep Voting Prdoxes Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Voting Prdoxes Properties Arrow s Theorem Leture Overview 1 Rep

More information

Lesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem.

Lesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem. 27 Lesson 2: The Pythgoren Theorem nd Similr Tringles A Brief Review of the Pythgoren Theorem. Rell tht n ngle whih mesures 90º is lled right ngle. If one of the ngles of tringle is right ngle, then we

More information

Ellipses. The second type of conic is called an ellipse.

Ellipses. The second type of conic is called an ellipse. Ellipses The seond type of oni is lled n ellipse. Definition of Ellipse An ellipse is the set of ll points (, y) in plne, the sum of whose distnes from two distint fied points (foi) is onstnt. (, y) d

More information

Eigenvectors and Eigenvalues

Eigenvectors and Eigenvalues MTB 050 1 ORIGIN 1 Eigenvets n Eigenvlues This wksheet esries the lger use to lulte "prinipl" "hrteristi" iretions lle Eigenvets n the "prinipl" "hrteristi" vlues lle Eigenvlues ssoite with these iretions.

More information

Probability. b a b. a b 32.

Probability. b a b. a b 32. Proility If n event n hppen in '' wys nd fil in '' wys, nd eh of these wys is eqully likely, then proility or the hne, or its hppening is, nd tht of its filing is eg, If in lottery there re prizes nd lnks,

More information

H (2a, a) (u 2a) 2 (E) Show that u v 4a. Explain why this implies that u v 4a, with equality if and only u a if u v 2a.

H (2a, a) (u 2a) 2 (E) Show that u v 4a. Explain why this implies that u v 4a, with equality if and only u a if u v 2a. Chpter Review 89 IGURE ol hord GH of the prol 4. G u v H (, ) (A) Use the distne formul to show tht u. (B) Show tht G nd H lie on the line m, where m ( )/( ). (C) Solve m for nd sustitute in 4, otining

More information

6.3.2 Spectroscopy. N Goalby chemrevise.org 1 NO 2 CH 3. CH 3 C a. NMR spectroscopy. Different types of NMR

6.3.2 Spectroscopy. N Goalby chemrevise.org 1 NO 2 CH 3. CH 3 C a. NMR spectroscopy. Different types of NMR 6.. Spetrosopy NMR spetrosopy Different types of NMR NMR spetrosopy involves intertion of mterils with the lowenergy rdiowve region of the eletromgneti spetrum NMR spetrosopy is the sme tehnology s tht

More information

Trigonometry Revision Sheet Q5 of Paper 2

Trigonometry Revision Sheet Q5 of Paper 2 Trigonometry Revision Sheet Q of Pper The Bsis - The Trigonometry setion is ll out tringles. We will normlly e given some of the sides or ngles of tringle nd we use formule nd rules to find the others.

More information

Part I: Study the theorem statement.

Part I: Study the theorem statement. Nme 1 Nme 2 Nme 3 A STUDY OF PYTHAGORAS THEOREM Instrutions: Together in groups of 2 or 3, fill out the following worksheet. You my lift nswers from the reding, or nswer on your own. Turn in one pket for

More information

Proving the Pythagorean Theorem

Proving the Pythagorean Theorem Proving the Pythgoren Theorem W. Bline Dowler June 30, 2010 Astrt Most people re fmilir with the formul 2 + 2 = 2. However, in most ses, this ws presented in lssroom s n solute with no ttempt t proof or

More information

Nondeterministic Automata vs Deterministic Automata

Nondeterministic Automata vs Deterministic Automata Nondeterministi Automt vs Deterministi Automt We lerned tht NFA is onvenient model for showing the reltionships mong regulr grmmrs, FA, nd regulr expressions, nd designing them. However, we know tht n

More information

Restraint of purlins for various roof systems

Restraint of purlins for various roof systems NS009 Restrint of purlins for vrious roof systems T. Vrny, M. Brhm & A. Beli ulty of ivil Engineering, zeh Tehnil University, Prh, zehi Astron Buildings S.A., Diekirh, Luxemourg, A memer of the Lind Group

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

THE PYTHAGOREAN THEOREM

THE PYTHAGOREAN THEOREM THE PYTHAGOREAN THEOREM The Pythgoren Theorem is one of the most well-known nd widely used theorems in mthemtis. We will first look t n informl investigtion of the Pythgoren Theorem, nd then pply this

More information

Algorithms & Data Structures Homework 8 HS 18 Exercise Class (Room & TA): Submitted by: Peer Feedback by: Points:

Algorithms & Data Structures Homework 8 HS 18 Exercise Class (Room & TA): Submitted by: Peer Feedback by: Points: Eidgenössishe Tehnishe Hohshule Zürih Eole polytehnique fédérle de Zurih Politenio federle di Zurigo Federl Institute of Tehnology t Zurih Deprtement of Computer Siene. Novemer 0 Mrkus Püshel, Dvid Steurer

More information

6.3.2 Spectroscopy. N Goalby chemrevise.org 1 NO 2 H 3 CH3 C. NMR spectroscopy. Different types of NMR

6.3.2 Spectroscopy. N Goalby chemrevise.org 1 NO 2 H 3 CH3 C. NMR spectroscopy. Different types of NMR 6.. Spetrosopy NMR spetrosopy Different types of NMR NMR spetrosopy involves intertion of mterils with the lowenergy rdiowve region of the eletromgneti spetrum NMR spetrosopy is the sme tehnology s tht

More information

Reference : Croft & Davison, Chapter 12, Blocks 1,2. A matrix ti is a rectangular array or block of numbers usually enclosed in brackets.

Reference : Croft & Davison, Chapter 12, Blocks 1,2. A matrix ti is a rectangular array or block of numbers usually enclosed in brackets. I MATRIX ALGEBRA INTRODUCTION TO MATRICES Referene : Croft & Dvison, Chpter, Blos, A mtri ti is retngulr rr or lo of numers usull enlosed in rets. A m n mtri hs m rows nd n olumns. Mtri Alger Pge If the

More information

VIBRATION ANALYSIS OF AN ISOLATED MASS WITH SIX DEGREES OF FREEDOM Revision G

VIBRATION ANALYSIS OF AN ISOLATED MASS WITH SIX DEGREES OF FREEDOM Revision G B Tom Irvine Emil: tom@virtiondt.om Jnur 8, 3 VIBRATION ANALYSIS OF AN ISOLATED MASS WITH SIX DEGREES OF FREEDOM Revision G Introdution An vionis omponent m e mounted with isoltor grommets, whih t s soft

More information

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point GCSE C Emple 7 Work out 9 Give your nswer in its simplest form Numers n inies Reiprote mens invert or turn upsie own The reiprol of is 9 9 Mke sure you only invert the frtion you re iviing y 7 You multiply

More information

T b a(f) [f ] +. P b a(f) = Conclude that if f is in AC then it is the difference of two monotone absolutely continuous functions.

T b a(f) [f ] +. P b a(f) = Conclude that if f is in AC then it is the difference of two monotone absolutely continuous functions. Rel Vribles, Fll 2014 Problem set 5 Solution suggestions Exerise 1. Let f be bsolutely ontinuous on [, b] Show tht nd T b (f) P b (f) f (x) dx [f ] +. Conlude tht if f is in AC then it is the differene

More information

Chapter 4 State-Space Planning

Chapter 4 State-Space Planning Leture slides for Automted Plnning: Theory nd Prtie Chpter 4 Stte-Spe Plnning Dn S. Nu CMSC 722, AI Plnning University of Mrylnd, Spring 2008 1 Motivtion Nerly ll plnning proedures re serh proedures Different

More information

(h+ ) = 0, (3.1) s = s 0, (3.2)

(h+ ) = 0, (3.1) s = s 0, (3.2) Chpter 3 Nozzle Flow Qusistedy idel gs flow in pipes For the lrge vlues of the Reynolds number typilly found in nozzles, the flow is idel. For stedy opertion with negligible body fores the energy nd momentum

More information

(a) A partition P of [a, b] is a finite subset of [a, b] containing a and b. If Q is another partition and P Q, then Q is a refinement of P.

(a) A partition P of [a, b] is a finite subset of [a, b] containing a and b. If Q is another partition and P Q, then Q is a refinement of P. Chpter 7: The Riemnn Integrl When the derivtive is introdued, it is not hrd to see tht the it of the differene quotient should be equl to the slope of the tngent line, or when the horizontl xis is time

More information

Review of Gaussian Quadrature method

Review of Gaussian Quadrature method Review of Gussin Qudrture method Nsser M. Asi Spring 006 compiled on Sundy Decemer 1, 017 t 09:1 PM 1 The prolem To find numericl vlue for the integrl of rel vlued function of rel vrile over specific rnge

More information

University of Sioux Falls. MAT204/205 Calculus I/II

University of Sioux Falls. MAT204/205 Calculus I/II University of Sioux Flls MAT204/205 Clulus I/II Conepts ddressed: Clulus Textook: Thoms Clulus, 11 th ed., Weir, Hss, Giordno 1. Use stndrd differentition nd integrtion tehniques. Differentition tehniques

More information

INTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable

INTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable INTEGRATION NOTE: These notes re supposed to supplement Chpter 4 of the online textbook. 1 Integrls of Complex Vlued funtions of REAL vrible If I is n intervl in R (for exmple I = [, b] or I = (, b)) nd

More information

Thermal energy 2 U Q W. 23 April The First Law of Thermodynamics. Or, if we want to obtain external work: The trick of using steam

Thermal energy 2 U Q W. 23 April The First Law of Thermodynamics. Or, if we want to obtain external work: The trick of using steam April 08 Therml energy Soures of het Trnsport of het How to use het The First Lw of Thermoynmis U W Or, if we wnt to otin externl work: U W 009 vrije Universiteit msterm Close yle stem power plnt The trik

More information

Bravais lattices and crystal systems

Bravais lattices and crystal systems 3 Brvis ltties nd rystl systems 3. Introdution The definitions of the motif, the repeting unit of pttern, nd the lttie, n rry of points in spe in whih eh point hs n identil environment, hold in three dimensions

More information

CS 2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014

CS 2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014 S 224 DIGITAL LOGI & STATE MAHINE DESIGN SPRING 214 DUE : Mrh 27, 214 HOMEWORK III READ : Relte portions of hpters VII n VIII ASSIGNMENT : There re three questions. Solve ll homework n exm prolems s shown

More information

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b CS 294-2 9/11/04 Quntum Ciruit Model, Solovy-Kitev Theorem, BQP Fll 2004 Leture 4 1 Quntum Ciruit Model 1.1 Clssil Ciruits - Universl Gte Sets A lssil iruit implements multi-output oolen funtion f : {0,1}

More information

Logarithms LOGARITHMS.

Logarithms LOGARITHMS. Logrithms LOGARITHMS www.mthletis.om.u Logrithms LOGARITHMS Logrithms re nother method to lulte nd work with eponents. Answer these questions, efore working through this unit. I used to think: In the

More information

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions MEP: Demonstrtion Projet UNIT 4: Trigonometry UNIT 4 Trigonometry tivities tivities 4. Pythgors' Theorem 4.2 Spirls 4.3 linometers 4.4 Rdr 4.5 Posting Prels 4.6 Interloking Pipes 4.7 Sine Rule Notes nd

More information

Section 1.3 Triangles

Section 1.3 Triangles Se 1.3 Tringles 21 Setion 1.3 Tringles LELING TRINGLE The line segments tht form tringle re lled the sides of the tringle. Eh pir of sides forms n ngle, lled n interior ngle, nd eh tringle hs three interior

More information

AMPERE CONGRESS AMPERE on Magnetic Resonance and Related Phenomena. Under the auspices of The GROUPEMENT AMPERE

AMPERE CONGRESS AMPERE on Magnetic Resonance and Related Phenomena. Under the auspices of The GROUPEMENT AMPERE AMPERE 2000 th 30 CONGRESS AMPERE on Mgnetic Resonnce nd Relted Phenomen Lison, Portugl, 23-2 July 2000 Under the uspices of The GROUPEMENT AMPERE Edited y: A.F. MARTINS, A.G. FEIO nd J.G. MOURA Sponsoring

More information

This enables us to also express rational numbers other than natural numbers, for example:

This enables us to also express rational numbers other than natural numbers, for example: Overview Study Mteril Business Mthemtis 05-06 Alger The Rel Numers The si numers re,,3,4, these numers re nturl numers nd lso lled positive integers. The positive integers, together with the negtive integers

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

Lecture 5: Crystal planes and Miller Indices

Lecture 5: Crystal planes and Miller Indices Leture Notes on Struture of Mtter y Mohmmd Jellur Rhmn, Deprtment of Physis, BUET, Dhk-000 Leture 5: Crystl plnes nd Miller Indies Index system for rystl diretions nd plnes Crystl diretions: Any lttie

More information

SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WITH VARIOUS TYPES OF COLUMN BASES

SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WITH VARIOUS TYPES OF COLUMN BASES Advned Steel Constrution Vol., No., pp. 7-88 () 7 SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WIT VARIOUS TYPES OF COLUMN BASES J. ent sio Assoite Professor, Deprtment of Civil nd Environmentl

More information

1 This question is about mean bond enthalpies and their use in the calculation of enthalpy changes.

1 This question is about mean bond enthalpies and their use in the calculation of enthalpy changes. 1 This question is out men ond enthlpies nd their use in the lultion of enthlpy hnges. Define men ond enthlpy s pplied to hlorine. Explin why the enthlpy of tomistion of hlorine is extly hlf the men ond

More information

Finite Element Simulation on Frictional and Brittle Preseismic fault slip

Finite Element Simulation on Frictional and Brittle Preseismic fault slip Finite Element Simultion on Fritionl nd Brittle Preseismi fult slip Zhishen Wu (1) Yun Go (1) Yutk Murkmi (2) (1) Deprtment of Urn & Civil Engineering. Irki University, Jpn (e-mil: zswu@ip.irki..jp; goyun@hs.irki..jp,

More information

Line Integrals and Entire Functions

Line Integrals and Entire Functions Line Integrls nd Entire Funtions Defining n Integrl for omplex Vlued Funtions In the following setions, our min gol is to show tht every entire funtion n be represented s n everywhere onvergent power series

More information

Green s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e

Green s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e Green s Theorem. Let be the boundry of the unit squre, y, oriented ounterlokwise, nd let F be the vetor field F, y e y +, 2 y. Find F d r. Solution. Let s write P, y e y + nd Q, y 2 y, so tht F P, Q. Let

More information

In right-angled triangles the square on the side subtending the right angle is equal to the squares on the sides containing the right angle.

In right-angled triangles the square on the side subtending the right angle is equal to the squares on the sides containing the right angle. Mth 3329-Uniform Geometries Leture 06 1. Review of trigonometry While we re looking t Eulid s Elements, I d like to look t some si trigonometry. Figure 1. The Pythgoren theorem sttes tht if = 90, then

More information

Linear Algebra Introduction

Linear Algebra Introduction Introdution Wht is Liner Alger out? Liner Alger is rnh of mthemtis whih emerged yers k nd ws one of the pioneer rnhes of mthemtis Though, initilly it strted with solving of the simple liner eqution x +

More information

Reflection Property of a Hyperbola

Reflection Property of a Hyperbola Refletion Propert of Hperol Prefe The purpose of this pper is to prove nltill nd to illustrte geometrill the propert of hperol wherein r whih emntes outside the onvit of the hperol, tht is, etween the

More information

MATH Final Review

MATH Final Review MATH 1591 - Finl Review November 20, 2005 1 Evlution of Limits 1. the ε δ definition of limit. 2. properties of limits. 3. how to use the diret substitution to find limit. 4. how to use the dividing out

More information

Continuous Random Variables

Continuous Random Variables CPSC 53 Systems Modeling nd Simultion Continuous Rndom Vriles Dr. Anirn Mhnti Deprtment of Computer Science University of Clgry mhnti@cpsc.uclgry.c Definitions A rndom vrile is sid to e continuous if there

More information

Designing Information Devices and Systems I Discussion 8B

Designing Information Devices and Systems I Discussion 8B Lst Updted: 2018-10-17 19:40 1 EECS 16A Fll 2018 Designing Informtion Devices nd Systems I Discussion 8B 1. Why Bother With Thévenin Anywy? () Find Thévenin eqiuvlent for the circuit shown elow. 2kΩ 5V

More information

Supplementary Figure 1 Supplementary Figure 2

Supplementary Figure 1 Supplementary Figure 2 Supplementry Figure 1 Comprtive illustrtion of the steps required to decorte n oxide support AO with ctlyst prticles M through chemicl infiltrtion or in situ redox exsolution. () chemicl infiltrtion usully

More information

Discrete Mathematics and Probability Theory Spring 2013 Anant Sahai Lecture 17

Discrete Mathematics and Probability Theory Spring 2013 Anant Sahai Lecture 17 EECS 70 Discrete Mthemtics nd Proility Theory Spring 2013 Annt Shi Lecture 17 I.I.D. Rndom Vriles Estimting the is of coin Question: We wnt to estimte the proportion p of Democrts in the US popultion,

More information

Final Exam Review. [Top Bottom]dx =

Final Exam Review. [Top Bottom]dx = Finl Exm Review Are Between Curves See 7.1 exmples 1, 2, 4, 5 nd exerises 1-33 (odd) The re of the region bounded by the urves y = f(x), y = g(x), nd the lines x = nd x = b, where f nd g re ontinuous nd

More information

Now we must transform the original model so we can use the new parameters. = S max. Recruits

Now we must transform the original model so we can use the new parameters. = S max. Recruits MODEL FOR VARIABLE RECRUITMENT (ontinue) Alterntive Prmeteriztions of the pwner-reruit Moels We n write ny moel in numerous ifferent ut equivlent forms. Uner ertin irumstnes it is onvenient to work with

More information

Section 4.4. Green s Theorem

Section 4.4. Green s Theorem The Clulus of Funtions of Severl Vriles Setion 4.4 Green s Theorem Green s theorem is n exmple from fmily of theorems whih onnet line integrls (nd their higher-dimensionl nlogues) with the definite integrls

More information

Designing Information Devices and Systems I Anant Sahai, Ali Niknejad. This homework is due October 19, 2015, at Noon.

Designing Information Devices and Systems I Anant Sahai, Ali Niknejad. This homework is due October 19, 2015, at Noon. EECS 16A Designing Informtion Devices nd Systems I Fll 2015 Annt Shi, Ali Niknejd Homework 7 This homework is due Octoer 19, 2015, t Noon. 1. Circuits with cpcitors nd resistors () Find the voltges cross

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

Finite State Automata and Determinisation

Finite State Automata and Determinisation Finite Stte Automt nd Deterministion Tim Dworn Jnury, 2016 Lnguges fs nf re df Deterministion 2 Outline 1 Lnguges 2 Finite Stte Automt (fs) 3 Non-deterministi Finite Stte Automt (nf) 4 Regulr Expressions

More information

MAT 403 NOTES 4. f + f =

MAT 403 NOTES 4. f + f = MAT 403 NOTES 4 1. Fundmentl Theorem o Clulus We will proo more generl version o the FTC thn the textook. But just like the textook, we strt with the ollowing proposition. Let R[, ] e the set o Riemnn

More information

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4.

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4. Mth 5 Tutoril Week 1 - Jnury 1 1 Nme Setion Tutoril Worksheet 1. Find ll solutions to the liner system by following the given steps x + y + z = x + y + z = 4. y + z = Step 1. Write down the rgumented mtrix

More information