Measurement and compensation of motion errors on 5-axis machine tool by R-test Chiaki OYAMA 1, Soichi IBARAKI 1 and Hisashi OTSUBO 2 1

Size: px
Start display at page:

Download "Measurement and compensation of motion errors on 5-axis machine tool by R-test Chiaki OYAMA 1, Soichi IBARAKI 1 and Hisashi OTSUBO 2 1"

Transcription

1 Proceedngs of 4th IRP Internatonal onference on Hgh Performance uttng, 2 Measurement and comensaton of moton errors on 5-axs machne tool by R-test hak OYAMA, Soch IARAKI and Hsash OTSUO 2 Machnng, Measurement and ontrol Lab., Det. of Mcro-Engneerng, Graduate school of Engneerng, Kyoto Unversty, Jaan, c.oyama@at2.ecs.kyoto-u.ac. 2 Otsubo Engneerng Research enter, Jaan Abstract: 5-axs machne tool ntended n ths study has three lnear axes and addtonal to rotary axes. ecause of ts comoston, errors of each axs and assembly errors are ntegrated and they nfluence the relatve oston beteen the tool and the orkece. Effcently nvestgaton method of moton errors s not conformed enough so far. y exerment, t s sure that errors are varyng as the ork table rotates. The obectve of ths aer s ho to evaluate the oston-deendent geometrc errors of 5-axs machne tool and make error ma th the use of the measurement devce, called R-test.[ Keyords: R-test, 5-axs machne tool, Measurement, Poston-deendent geometrc errors.. Introducton A 5-axs machne tool has three lnear axes to translate the tool and/or the orkece and addtonal to rotary axes to tlt or rotate t. Due to ts caablty to machne more comlex orkeces, t has been oularzed radly n the manufacturng feld. Snce a 5-axs machnng center has lnear and rotary axes that are stacked over each other, moton errors of each axs and ts assembly error are accumulated n the ostonng error of a tool relatve to a orkece. onsequently, many machne tool users recognze that the machnng accuracy th 5-axs machne tool s loer than conventonal 3-axs machne tool. For mrovng the moton accuracy of 5-axs machne tool, t s frst crucal to develo a methodology to dentfy causes of the machne s moton error n an accurate and effcent manner. Statc oston and orentaton errors of the axs average lne of rotary axes are among the most fundamental error factors of the 5-axs knematcs, and called locaton errors n ISO 23-7[] or geometrc errors[2]. Many researches have been reorted on the dentfcaton of geometrc errors. Tycal one s the measurement methodology th the use of the double ball bar (D [3]. Ths methodology s currently under the dscusson at ISO T39/S2[4]. In the measurement th D devce, one ball s attached to the sndle and the other one s on the ork table, and the dstance beteen them s measured th a lnear encoder n the bar connectng to balls. Snce only one drecton dslacement s acqured n ths measurement, the oerator has to change the setu of the measurement devce and machne tool at least a coule of tmes to dentfy all the geometrc errors. Further more, t s dffcult for the measurement th the ball bar to measure more comlex error factors than geometrc errors. For examle, the ostonng error of rotary axes, the runout of rotary axes, the nfluence of the gravty are not ncluded n geometrc errors, and cannot be dentfed by ball bar measurement resented n [3]. To erform fully-automated calbraton of a larger class of error motons of 5-axs machnes, ball bar measurements[3] have nherent crtcal ssue. In ths study, e utlze the measurement devce called R-test[5][6]. It s commercally avalable by IS Precson Engneerng, Fda. The standardzaton of R-test has been also dscussed for ISO R-test can measure the oston of the tool n relatve to the orkece n three dmensons, hch allos us to obtan more data by one measurement setu than n the ball bar measurement. The obectve of ths aer s to develo a methodology to dentfy oston-deendent geometrc errors, or error ma, of rotary axes n 5-axs machne tools by usng the R-tests. 2. onfguraton of 5-axs Machne Tool and Error Parameters 2. onfguraton of 5-axs Machne Tool The confguraton of 5-axs machne tool consdered n ths aer s shon n Fg.. Ths machne tool has to rotary axes, and -axs, to tlt the ork table. When the - and Z-axes are arallel to each other as shon n Fg., the -axs s defned as Fgure : onfguraton of 5-axs machne tool 2.2 Poston-deendent Geometrc Errors As shon n Table, sx oston and orentaton error

2 Proceedngs of 4th IRP Internatonal onference on Hgh Performance uttng, 2 arameters are defned on each rotary axs. These arameters for the axs average lne of each rotary axs are defned n ISO23-7. Practcally, these error arameters may vary as the rotary axs rotates. In ths aer, these are consdered as a functon of the angular oston of rotary axs, and referred to as oston-deendent geometrc errors. Poston-deendent geometrc errors can model more comlex error motons. The errors on -axs are defned as a functon of the angular oston of -axs tself. The errors on -axs are defned as a functon of the - and -axes (e.g. δx (, δx (,. The errors on lnear axes are gnored n ths study, assumng that they are suffcently small n comarson th errors on rotary axes. Table : Defnton of error arameters of rotary axes δx ( Lnear shft of -axs from Y-axs n X drecton δy ( Lnear shft of -axs from Y-axs n Y drecton δz ( Lnear shft of -axs from Y-axs n Z drecton α ( Squareness error of -axs to Z-axs β ( Orentaton error of -axs around Y-axs γ ( Squareness error of -axs to X-axs δx (, Lnear shft of -axs from -axs n X drecton δy (, Lnear shft of -axs from -axs n Y drecton δz (, Lnear shft of -axs from -axs n Z drecton α (, Squareness error of -axs to -axs β (, Orentaton error of -axs around -axs γ (, Angular error of -axs 2.3 Knematc Modelng of 5-axs Machne Tool The knematc model to comute the relatve oston of the tool to the orkece s the bass of modelng the nfluence of moton errors on rotary axes to R-test measurements. Ths subsecton resents the model brefly. Defne the machne coordnate system as the coordnate system fxed on the machne frame, and the orkece coordnate system as the coordnate system fxed on the ork table. Homogeneous transformaton matrx (HTM to reresent the translaton to X, Y, and Z-drecton for the dstance of X, Y, and Z, and rotaton about X, Y, and Z-axs for the angle of A,, and, are shon as follos: X D ( X cos A sn A x D a ( A sn A cos A D y ( Y Y D b cos ( sn sn cos cos sn D z ( Z sn cos D Z c ( ( In ths aer, the commanded tool center ont n the orkece and machne coordnate systems s r resectvely descrbed as and. Its actual oston nfluenced by the moton errors are descrbed as r and. The left-sde subscrt r and resectvely reresents a vector n the machne and orkece coordnate systems. The rght-sde subscrt * reresents the commanded oston. When the commanded tool center ont n the orkece coordnate system at the angular command (, s gven by * [ * x, * y, * z ] T, t can be transformed n the machne coordnate system by the HTM as follos: T T r r ~ T (2 ~ here r T s the HTM that can transform from the tool center ont n the orkece coordnate system nto the machne coordnate system th angular commands: r ~ T Db ( Dc ( (3 Note that the dslacement sensors are fxed on the rotary table and tool center ont s measured n the orkece coordnate system. The relatve oston of the tool th resect to the sensors s reresented as: r r ~ ( T T (4 here r T s the HTM th error arameters n Table : r r T T T (5 r T D ( δx x D ( α a D y ( δy D ( β b D ( δz z D ( γ c D ( T Dx ( δx Dy ( δy Dz ( δz (7 Da ( α Db ( β Dc ( γ Dc ( Denotng [ x, y, z ] T, Eq. (4 can be rertten as: * x Δ Δ ΔX x * y Δ ΔA ΔY y (8 Δ Δ Δ * A Z z z When each error arameter s suffcently small, e have: ΔX { δy ( + δy (, }sn + { δx ΔY { δy { δx ΔZ δx ΔA { β + { α Δ { β { α Δ α ( cos δz ( + δy ( cos δz ( sn + δz ( + β ( cos γ ( + β ( cos γ ( sn + γ (, }cos (, }sn (, }cos ( cos + γ b ( sn + δx ( sn + δx ( cos + δz ( sn + α ( sn + α (, (, }cos (, }sn (, (, }cos (, }sn (6 (9

3 Proceedngs of 4th IRP Internatonal onference on Hgh Performance uttng, 2 3. Measurement th R-test devce 3. Outlnes of R-test Devce The overve of R-test devce s shon n Fg. 2. Ths devce s comosed of the ball attached on the machne sndle and three dslacement sensors attached on the rotary table. Sensors are fxed to drect aroxmately to the center of the ball. y dslacements measured by three sensors, the relatve devaton of the ball from the reference oston can be comuted. all attached on the Sndle Devce s attached on the table. Set on the Sndle of the machne tool Fgure 2: Overve of R-test devce Dslacement sensor 3.2 albraton of the Devce To get ball oston from dslacements of three sensors, the drecton vectors of each sensor need to be dentfed n advance. Furthermore, snce the center shft of the ball from the sndle centerlne sgnfcantly nfluences measurement results, t must be calbrated n ror and comensated. Frst, gve a set of certan knon command values to lnear axes and move the ball. Assumng that the ostonng error of lnear axes s neglgbly small, the drecton vector of each sensor can be dentfed from a set of measured ball dslacements. Then, by ndexng the sndle at a set of gven command angular ostons, get the dslacements of the sensors at each rotaton angle and dentfy the center shft of the ball. 3.3 Measurement rocedure In the measurement th R-test devce, the dslacement of each sensor s acqured at varous angular ostons of rotary axes. In ths study, -axs s set at every 3 from 9 to 9, and -axs s set at every 3 from to 33, to cover the entre movable range of rotary axes. The number of measurement onts s 84. The lnear axes are commanded such that the ball follos the sensors on the rotary table. When readng out the values of the sensors, all of the axes are rested. To observe the orentaton of -axs of rotaton, at least to sets of R-test measurements must be done th dfferent sensor locatons. More detals ll be gve n Secton Identfcaton of Poston-deendent geometrc errors 4. Identfcaton of errors on -axs In ths subsecton, the algorthm for dentfyng the oston-deendent geometrc errors of -axs s resented. Frst, t s assumed that all oston-deendent geometrc errors of -axs are zero. Errors of -axs at (~7 are descrbed as the vector: ( [ δx (, δy (, δz (, α (, β (, γ ( ] T ( The oston of the ball n the orkece coordnate system at and s gven by: ( [ ] T, x(, y(, z (, ( The Jacoban matrx reresentng the relaton beteen ( and, s gven by: x (, L δx (, (, y L (2 ( δx ( z (, L δx ( When all comonents of ( are suffcently small, the follong lnear aroxmaton s holds:,, ( (3 ( As descrbed n the revous secton, n R-test measurement, only the relatve dslacement of the ball from ts orgnal oston can be measured. In ths aer, for the smlcty of notaton, s defned as the orgnal oston. In other ords,, s alays [ ] T at. For ths reason,,,, (4 ( ( ( ( A set of oston-deendent geometrc errors, ( can be obtaned by solvng the follong otmzaton roblem by usng the least square method: mn 2 (, (, (, ( ( (5 ( ( Note that geometrc errors at, (, must be frst dentfed and then substtuted n Eq. (5 for other s. Equaton (8 reresents the relatonsh beteen the commanded oston * and measured oston n orkece coordnate system. y dfferentatng artally th each error arameter, the Jacoban matrx n Eq. (2 s gven. 4.2 Identfcaton of errors on -axs Defne the coordnate system that s fxed on the -axs and rotates concurrently th -axs rotaton as -axs coordnate system. In ths coordnate system, the commanded oston of the ball s gven by * (, (Eq. (6 and ts measured oston s gven by, (Eq. (7. (, (, Dc ( (6, Dc (, ( (7

4 Proceedngs of 4th IRP Internatonal onference on Hgh Performance uttng, 2 Identfy the oston-deendent geometrc errors on -axs by the follong rocedure. Frst, comute the nfluence of the oston-deendent geometrc errors of -axs dentfed n the revous subsecton n the -axs coordnate system as: ˆ, (, T (8 here T W s the HTM to transform the ball oston n the orkece coordnate system nto the -axs coordnate system gven by: T Db ( Dx( δx ( LDc ( γ ( Db ( Dc ( (9 Subtract ˆ (, from the measured oston by: q( (2, (, +, ˆ(, Ths reresents the ball oston that s nfluenced by only -axs errors. Ths rocess s conducted tce th the dslacement sensor located at dfferent ostons on the rotary table. As shon n Fg. 3, the orentaton of the lne connectng q (, and q 2 (, th resect to ther command ostons reresents the orentaton error of -axs. y roectng ths to Y-Z lane, α (, can be acqured. In the same ay, by roectng ths to X-Z lane, β (, can be acqured. In ths study, e assume that the angular ostonng error of -axs s suffcently small,.e. γ (,. Then, dentfy the translatonal errors on -axs. y usng acqured rotatonal errors of -axs, the nfluence of these errors to the ball oston n -axs coordnate system s smulated as follong: q (, (, Da ( α(, Db ( β(, Dc ( γ(, (2 Therefore, translatonal errors of -axs are gven by: δx (, δy (, q(, q (, (22 z(, δ α (, As descrbed n Secton 3.3, a set of R-test measurements as erformed on the exermental machne of the confguraton shon n Fg.. Then, comute the ball ostons by acqured sensor dslacements. Snce t s assumed that the moton errors on lnear axes are suffcently small n ths study, the ball dslacement measured by R-test,,, can be seen as the table dslacement by takng,. Table dslacements measured by the R-test rocedure are shon n Fg. 5. The ostons of sensor roected on X-Z lane at are shon n (a, and roected on the table surface at are shon n (b. In the same ay, the ostons of the sensor at 9 are shon n (c and (d. ommanded ostons of the sensor are reresented by, measured oston s reresented by. The devaton beteen commanded and measured ostons s magnfed by a factor of,. Fgure 4: ommands of each axs 2(, 2 q (, μm μm (, (a,on X-Z lane (b,on table surface q (, Z Fgure 3: omutaton of orentaton errors of -axs, for examle α (,, by means of to measurements. The rght-sde subscrt donets the frst measurement, 2 donates second measurement. The measured oston of the ball s reresented by, the smulated oston s reresented by. 5. Exermental ase Study 5. Measurement ommanded ostons of each axs are shon n Fg. 4. Y μm μm (c 9,on X-Z lane (d 9,on table surface Fgure 5: ommanded and measured table ostons by R-test measurement (Errors are magnfed by a factor of,.

5 Proceedngs of 4th IRP Internatonal onference on Hgh Performance uttng, Identfcaton of Poston-deendent Geomerc Errors and Smulaton Poston-deendent geometrc errors are dentfed from acqured oston errors by usng the algorthm resented n Secton 4. In Fg. 6, dentfed rotaton errors of -axs are reresented n (a, translatonal errors of -axs are n (b. Poston-deendent geometrc errors of -axs at and 9 are reresented n Fg. 7. To llustrate the nfluence of - and -axes error motons, the nfluence of dentfed oston-deendent geometrc errors of -axs only, shon n Fg. 6, s comuted by Eq. (8 and: r r T (23 here r T s gven by Eq. (5. The result s shon n Fg. 8. ommanded ostons of the sensor are reresented by, measured ostons are reresented by, and smulated ostons are reresented by. (a (a Rotatonal Errors (b 9 (b Translatonal Errors Fgure 6: Identfed oston-deendent geometrc errors on -axs 5.3 Observaton The follong observatons can be made: Identfed δx ( and δy ( (Fg. 6(b have an error about 4 μm and 6 μm, resectvely, n average. Ths s mostly caused by the ms-calbraton of -axs centerlne n X and Y drectons. The table oston at 9 s shfted by about μm to Z drecton. Fgure 7: Identfed oston-deendent geometrc errors on -axs Identfed δz ( s about 3 μm at, and get about 9 μm at 9. δz ( at ndcates the ms-calbraton of -axs centerlne n Z-drecton. If t s merely the ms-calbraton, δz ( must be the same for any angular ostons. The ncrease n δz ( at 9 suggests that the table s shfted n Z drecton, lkely due to the gravty nfluence. Identfed α ( (Fg. 6(a vares from 3-3 at 9 to +3-3 at 9. Identfed γ ( also

6 Proceedngs of 4th IRP Internatonal onference on Hgh Performance uttng, 2 shos analogous varaton. Ths suggests that the -axs has a conng error moton. Almost no angular oston error of -axs s observed (Fg. 6(a, β (. α (, and γ (, (Fg. 7 sho a snusodal error motons. Ths suggests that the -axs also shos a conng error moton. The amltude s smlar at and 9. μm μm (a, on X-Z lane (b, on table surface (c 9, on X-Z lane (d 9, on table surface Fgure 8: all ostons commanded, measured by R-test measurement, and smulated (Errors are magnfed by a factor of, 6. oncludng Remark The oston-deendent geometrc errors are dentfed effcently and automatcally th the use of R-test devce. When the error ma can be made th dentfed ostondeendent geometrc errors, the moton accuracy can be mroved by comensatng them. References [] ISO 23-7:26, Test code for machne tools Part 7:Geometrc accuracy of axes of rotaton. [2] Inasak, I., Kshnam, K., Sakamoto, S., Sugmura, N., Takeuch, Y., Tanaka, F., 997, Shaer generaton theory of machne tools ts bass and alcatons, Yokendo, Tokyo [n Jaanese]. [3] Kakno, Y., Ihara, Y., Shnohara, A., 99, Accuracy evaluaton method of N machne tool by D tests, REALIZE IN., [n Jaanese] [4] Tsutsum, M., Ihara, Y., Sato, A,. Mshma, N., Ibarak, S., Yamamoto, M., Kobayash, M., Yonetan, T., 28, Standardzaton of testng methods for knematc moton of fve-axs machnng centers Draft roosal for ISO standard --, Proc. of the 7th Manufacturng and Machne Tool onference, μm μm [5] rngmann,., Kna, W., 26, Model-based 'hase-the-all' albraton of a 5-Axes Machnng enter,annals of the IRP, 55/. [6] Wekert, S., 24, R-Test, a Ne Devce for Accuracy Measurements on Fve Axs Machne Tools, Annals of the IRP, vol.53/. [7] ISO 79- to 3: Test condtons for machnng centers, Part to 3.

Advanced Topics in Optimization. Piecewise Linear Approximation of a Nonlinear Function

Advanced Topics in Optimization. Piecewise Linear Approximation of a Nonlinear Function Advanced Tocs n Otmzaton Pecewse Lnear Aroxmaton of a Nonlnear Functon Otmzaton Methods: M8L Introducton and Objectves Introducton There exsts no general algorthm for nonlnear rogrammng due to ts rregular

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs hyscs 151 Lecture Canoncal Transformatons (Chater 9) What We Dd Last Tme Drect Condtons Q j Q j = = j, Q, j, Q, Necessary and suffcent j j for Canoncal Transf. = = j Q, Q, j Q, Q, Infntesmal CT

More information

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Analyss of Varance and Desgn of Exerments-I MODULE III LECTURE - 2 EXPERIMENTAL DESIGN MODELS Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 2 We consder the models

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 151 Lecture 22 Canoncal Transformatons (Chater 9) What We Dd Last Tme Drect Condtons Q j Q j = = j P, Q, P j, P Q, P Necessary and suffcent P j P j for Canoncal Transf. = = j Q, Q, P j

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Lecture # 02: Pressure measurements and Measurement Uncertainties

Lecture # 02: Pressure measurements and Measurement Uncertainties AerE 3L & AerE343L Lecture Notes Lecture # 0: Pressure measurements and Measurement Uncertantes Dr. Hu H Hu Deartment of Aerosace Engneerng Iowa State Unversty Ames, Iowa 500, U.S.A Mechancal Pressure

More information

Week 9 Chapter 10 Section 1-5

Week 9 Chapter 10 Section 1-5 Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,

More information

Constructing Control Process for Wafer Defects Using Data Mining Technique

Constructing Control Process for Wafer Defects Using Data Mining Technique The Fourth nternatonal Conference on Electronc Busness (CEB004) / Bejng 5 Constructng Control ocess for Wafer Defects Usng Data Mnng Technque Leeng Tong Hsngyn Lee Chfeng Huang Changke Ln Chenhu Yang Department

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

6. Hamilton s Equations

6. Hamilton s Equations 6. Hamlton s Equatons Mchael Fowler A Dynamcal System s Path n Confguraton Sace and n State Sace The story so far: For a mechancal system wth n degrees of freedom, the satal confguraton at some nstant

More information

Multi degree of freedom measurement of machine tool movements. W. Knapp, S.Weikert Institute for Machine Tools and Manufacturing (IWF), Swiss Federal

Multi degree of freedom measurement of machine tool movements. W. Knapp, S.Weikert Institute for Machine Tools and Manufacturing (IWF), Swiss Federal Mult degree of freedom measurement of machne tool movements W. Knapp, S.Wekert Insttute for Machne Tools and Manufacturng (IWF), Swss Federal \ ^r Az. ca, we z'tz rf @ z w/: Agpr. graz. ca Abstract The

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics)

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics) CHAPTER 6 LAGRANGE S EQUATIONS (Analytcal Mechancs) 1 Ex. 1: Consder a partcle movng on a fxed horzontal surface. r P Let, be the poston and F be the total force on the partcle. The FBD s: -mgk F 1 x O

More information

Iterative General Dynamic Model for Serial-Link Manipulators

Iterative General Dynamic Model for Serial-Link Manipulators EEL6667: Knematcs, Dynamcs and Control of Robot Manpulators 1. Introducton Iteratve General Dynamc Model for Seral-Lnk Manpulators In ths set of notes, we are gong to develop a method for computng a general

More information

Non-Ideality Through Fugacity and Activity

Non-Ideality Through Fugacity and Activity Non-Idealty Through Fugacty and Actvty S. Patel Deartment of Chemstry and Bochemstry, Unversty of Delaware, Newark, Delaware 19716, USA Corresondng author. E-mal: saatel@udel.edu 1 I. FUGACITY In ths dscusson,

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

A Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S.

A Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S. Formaton Evaluaton and the Analyss of Reservor Performance A Quadratc Cumulatve Producton Model for the Materal Balance of Abnormally-Pressured as Reservors F.E. onale M.S. Thess (2003) T.A. Blasngame,

More information

5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016) Star image identification uninfluenced by rotation

5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016) Star image identification uninfluenced by rotation 5th Internatonal Conference on Measurement, Instrumentaton and Automaton (ICMIA 2016) Star mage dentfcaton unnfluenced by rotaton Jang D1,a, Zhang Ke1, Lv Mebo1 1 Nortwestern Polytechncal Unversty, X an,

More information

THE CURRENT BALANCE Physics 258/259

THE CURRENT BALANCE Physics 258/259 DSH 1988, 005 THE CURRENT BALANCE Physcs 58/59 The tme average force between two parallel conductors carryng an alternatng current s measured by balancng ths force aganst the gravtatonal force on a set

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

A Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S.

A Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S. Natural as Engneerng A Quadratc Cumulatve Producton Model for the Materal Balance of Abnormally-Pressured as Reservors F.E. onale M.S. Thess (2003) T.A. Blasngame, Texas A&M U. Deartment of Petroleum Engneerng

More information

PHYS 705: Classical Mechanics. Newtonian Mechanics

PHYS 705: Classical Mechanics. Newtonian Mechanics 1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]

More information

Translational Equations of Motion for A Body Translational equations of motion (centroidal) for a body are m r = f.

Translational Equations of Motion for A Body Translational equations of motion (centroidal) for a body are m r = f. Lesson 12: Equatons o Moton Newton s Laws Frst Law: A artcle remans at rest or contnues to move n a straght lne wth constant seed there s no orce actng on t Second Law: The acceleraton o a artcle s roortonal

More information

MEV442 Introduction to Robotics Module 2. Dr. Santhakumar Mohan Assistant Professor Mechanical Engineering National Institute of Technology Calicut

MEV442 Introduction to Robotics Module 2. Dr. Santhakumar Mohan Assistant Professor Mechanical Engineering National Institute of Technology Calicut MEV442 Introducton to Robotcs Module 2 Dr. Santhakumar Mohan Assstant Professor Mechancal Engneerng Natonal Insttute of Technology Calcut Jacobans: Veloctes and statc forces Introducton Notaton for tme-varyng

More information

Fuzzy approach to solve multi-objective capacitated transportation problem

Fuzzy approach to solve multi-objective capacitated transportation problem Internatonal Journal of Bonformatcs Research, ISSN: 0975 087, Volume, Issue, 00, -0-4 Fuzzy aroach to solve mult-objectve caactated transortaton roblem Lohgaonkar M. H. and Bajaj V. H.* * Deartment of

More information

Measurement and Compensation for Volumetric Positioning Errors of CNC Machine Tools Considering Thermal Effect

Measurement and Compensation for Volumetric Positioning Errors of CNC Machine Tools Considering Thermal Effect Measurement and Compensaton for Volumetrc ostonng Errors of CNC Machne Tools Consderng Thermal Effect Zhang Hongtao a, Yang Janguo a, Zhang Y a, Shen Jnhua a, Charles Wang b a School of Mechancal Engneerng,

More information

Mathematical Preparations

Mathematical Preparations 1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the

More information

A Particle Filter Algorithm based on Mixing of Prior probability density and UKF as Generate Importance Function

A Particle Filter Algorithm based on Mixing of Prior probability density and UKF as Generate Importance Function Advanced Scence and Technology Letters, pp.83-87 http://dx.do.org/10.14257/astl.2014.53.20 A Partcle Flter Algorthm based on Mxng of Pror probablty densty and UKF as Generate Importance Functon Lu Lu 1,1,

More information

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI 2017 2nd Internatonal Conference on Electrcal and Electroncs: echnques and Applcatons (EEA 2017) ISBN: 978-1-60595-416-5 Study on Actve Mcro-vbraton Isolaton System wth Lnear Motor Actuator Gong-yu PAN,

More information

Rigid body simulation

Rigid body simulation Rgd bod smulaton Rgd bod smulaton Once we consder an object wth spacal etent, partcle sstem smulaton s no longer suffcent Problems Problems Unconstraned sstem rotatonal moton torques and angular momentum

More information

Conservation of Angular Momentum = "Spin"

Conservation of Angular Momentum = Spin Page 1 of 6 Conservaton of Angular Momentum = "Spn" We can assgn a drecton to the angular velocty: drecton of = drecton of axs + rght hand rule (wth rght hand, curl fngers n drecton of rotaton, thumb ponts

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

Gravitational Acceleration: A case of constant acceleration (approx. 2 hr.) (6/7/11)

Gravitational Acceleration: A case of constant acceleration (approx. 2 hr.) (6/7/11) Gravtatonal Acceleraton: A case of constant acceleraton (approx. hr.) (6/7/11) Introducton The gravtatonal force s one of the fundamental forces of nature. Under the nfluence of ths force all objects havng

More information

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS

More information

Using Genetic Algorithms in System Identification

Using Genetic Algorithms in System Identification Usng Genetc Algorthms n System Identfcaton Ecaterna Vladu Deartment of Electrcal Engneerng and Informaton Technology, Unversty of Oradea, Unverstat, 410087 Oradea, Româna Phone: +40259408435, Fax: +40259408408,

More information

Professor Terje Haukaas University of British Columbia, Vancouver The Q4 Element

Professor Terje Haukaas University of British Columbia, Vancouver  The Q4 Element Professor Terje Haukaas Unversty of Brtsh Columba, ancouver www.nrsk.ubc.ca The Q Element Ths document consders fnte elements that carry load only n ther plane. These elements are sometmes referred to

More information

coordinates. Then, the position vectors are described by

coordinates. Then, the position vectors are described by Revewng, what we have dscussed so far: Generalzed coordnates Any number of varables (say, n) suffcent to specfy the confguraton of the system at each nstant to tme (need not be the mnmum number). In general,

More information

Model Reference Adaptive Temperature Control of the Electromagnetic Oven Process in Manufacturing Process

Model Reference Adaptive Temperature Control of the Electromagnetic Oven Process in Manufacturing Process RECENT ADVANCES n SIGNAL PROCESSING, ROBOTICS and AUTOMATION Model Reference Adatve Temerature Control of the Electromagnetc Oven Process n Manufacturng Process JIRAPHON SRISERTPOL SUPOT PHUNGPHIMAI School

More information

Support Vector Machines CS434

Support Vector Machines CS434 Support Vector Machnes CS434 Lnear Separators Many lnear separators exst that perfectly classfy all tranng examples Whch of the lnear separators s the best? Intuton of Margn Consder ponts A, B, and C We

More information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

Kinematics of Fluids. Lecture 16. (Refer the text book CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlines) 17/02/2017

Kinematics of Fluids. Lecture 16. (Refer the text book CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlines) 17/02/2017 17/0/017 Lecture 16 (Refer the text boo CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlnes) Knematcs of Fluds Last class, we started dscussng about the nematcs of fluds. Recall the Lagrangan and Euleran

More information

DETERMINATION OF ERRANT RUN-OUT OF THE AXIS OF ROTATION OF OBJECTS, PERFORMING ACCURATE ROTATIONAL MOVEMENTS

DETERMINATION OF ERRANT RUN-OUT OF THE AXIS OF ROTATION OF OBJECTS, PERFORMING ACCURATE ROTATIONAL MOVEMENTS DETERMINATION OF ERRANT RUN-OUT OF THE AXIS OF ROTATION OF OBJECTS, PERFORMING ACCURATE ROTATIONAL MOVEMENTS Hrsto K. RADEV, Vassl J. BOGEV, Velzar A. VASSILEV Techncal Unversty of Sofa, Bulgara Abstract.

More information

Spin-rotation coupling of the angularly accelerated rigid body

Spin-rotation coupling of the angularly accelerated rigid body Spn-rotaton couplng of the angularly accelerated rgd body Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 E-mal: louaelzen@gmal.com November 1, 2017 All Rghts Reserved. Abstract Ths paper s

More information

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

APPENDIX F A DISPLACEMENT-BASED BEAM ELEMENT WITH SHEAR DEFORMATIONS. Never use a Cubic Function Approximation for a Non-Prismatic Beam

APPENDIX F A DISPLACEMENT-BASED BEAM ELEMENT WITH SHEAR DEFORMATIONS. Never use a Cubic Function Approximation for a Non-Prismatic Beam APPENDIX F A DISPACEMENT-BASED BEAM EEMENT WITH SHEAR DEFORMATIONS Never use a Cubc Functon Approxmaton for a Non-Prsmatc Beam F. INTRODUCTION { XE "Shearng Deformatons" }In ths appendx a unque development

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

11. Dynamics in Rotating Frames of Reference

11. Dynamics in Rotating Frames of Reference Unversty of Rhode Island DgtalCommons@URI Classcal Dynamcs Physcs Course Materals 2015 11. Dynamcs n Rotatng Frames of Reference Gerhard Müller Unversty of Rhode Island, gmuller@ur.edu Creatve Commons

More information

Report on Image warping

Report on Image warping Report on Image warpng Xuan Ne, Dec. 20, 2004 Ths document summarzed the algorthms of our mage warpng soluton for further study, and there s a detaled descrpton about the mplementaton of these algorthms.

More information

Feasibility of Coordinate Measuring System Based on Wire Driven Robot

Feasibility of Coordinate Measuring System Based on Wire Driven Robot Feasblty of Coordnate Measurng System Based on Wre Drven Robot J-Hu Zhou, Qng-Song Cao, Fa-Xong Sun, and Lan B College of Mechancal and Electrcal Engneerng, East Chna Jaotong Unversty, Nanchang 330013,

More information

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors An Algorthm to Solve the Inverse Knematcs Problem of a Robotc Manpulator Based on Rotaton Vectors Mohamad Z. Al-az*, Mazn Z. Othman**, and Baker B. Al-Bahr* *AL-Nahran Unversty, Computer Eng. Dep., Baghdad,

More information

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 4. Moton Knematcs 4.2 Angular Velocty Knematcs Summary From the last lecture we concluded that: If the jonts

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

Understanding the Relationship Between the Optimization Criteria in Two-View Motion Analysis

Understanding the Relationship Between the Optimization Criteria in Two-View Motion Analysis In Proc. Internatonal Conference on Comuter Vson (ICCV 98) Bombay, Inda, January 4 7, 1998 Understandng the Relatonsh Between the Otmzaton Crtera n wo-vew Moton Analyss Zhengyou Zhang y z z AR Human Informaton

More information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Uniformity of Deformation in Element Testing

Uniformity of Deformation in Element Testing Woousng Km, Marc Loen, ruce hadbourn and Joseph Labu Unformt of Deformaton n Element Testng Abstract Unform deformaton s a basc assumpton n element testng, where aal stran tpcall s determned from dsplacement

More information

Linear Feature Engineering 11

Linear Feature Engineering 11 Lnear Feature Engneerng 11 2 Least-Squares 2.1 Smple least-squares Consder the followng dataset. We have a bunch of nputs x and correspondng outputs y. The partcular values n ths dataset are x y 0.23 0.19

More information

Pattern Classification

Pattern Classification Pattern Classfcaton All materals n these sldes ere taken from Pattern Classfcaton (nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wley & Sons, 000 th the permsson of the authors and the publsher

More information

Linear Momentum. Center of Mass.

Linear Momentum. Center of Mass. Lecture 6 Chapter 9 Physcs I 03.3.04 Lnear omentum. Center of ass. Course webste: http://faculty.uml.edu/ndry_danylov/teachng/physcsi Lecture Capture: http://echo360.uml.edu/danylov03/physcssprng.html

More information

Statistical Evaluation of WATFLOOD

Statistical Evaluation of WATFLOOD tatstcal Evaluaton of WATFLD By: Angela MacLean, Dept. of Cvl & Envronmental Engneerng, Unversty of Waterloo, n. ctober, 005 The statstcs program assocated wth WATFLD uses spl.csv fle that s produced wth

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

829. An adaptive method for inertia force identification in cantilever under moving mass

829. An adaptive method for inertia force identification in cantilever under moving mass 89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,

More information

The Dirac Equation for a One-electron atom. In this section we will derive the Dirac equation for a one-electron atom.

The Dirac Equation for a One-electron atom. In this section we will derive the Dirac equation for a one-electron atom. The Drac Equaton for a One-electron atom In ths secton we wll derve the Drac equaton for a one-electron atom. Accordng to Ensten the energy of a artcle wth rest mass m movng wth a velocty V s gven by E

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Digital PI Controller Equations

Digital PI Controller Equations Ver. 4, 9 th March 7 Dgtal PI Controller Equatons Probably the most common tye of controller n ndustral ower electroncs s the PI (Proortonal - Integral) controller. In feld orented motor control, PI controllers

More information

An efficient algorithm for multivariate Maclaurin Newton transformation

An efficient algorithm for multivariate Maclaurin Newton transformation Annales UMCS Informatca AI VIII, 2 2008) 5 14 DOI: 10.2478/v10065-008-0020-6 An effcent algorthm for multvarate Maclaurn Newton transformaton Joanna Kapusta Insttute of Mathematcs and Computer Scence,

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

Chapter 3. r r. Position, Velocity, and Acceleration Revisited

Chapter 3. r r. Position, Velocity, and Acceleration Revisited Chapter 3 Poston, Velocty, and Acceleraton Revsted The poston vector of a partcle s a vector drawn from the orgn to the locaton of the partcle. In two dmensons: r = x ˆ+ yj ˆ (1) The dsplacement vector

More information

b ), which stands for uniform distribution on the interval a x< b. = 0 elsewhere

b ), which stands for uniform distribution on the interval a x< b. = 0 elsewhere Fall Analyss of Epermental Measurements B. Esensten/rev. S. Errede Some mportant probablty dstrbutons: Unform Bnomal Posson Gaussan/ormal The Unform dstrbuton s often called U( a, b ), hch stands for unform

More information

The Study of Teaching-learning-based Optimization Algorithm

The Study of Teaching-learning-based Optimization Algorithm Advanced Scence and Technology Letters Vol. (AST 06), pp.05- http://dx.do.org/0.57/astl.06. The Study of Teachng-learnng-based Optmzaton Algorthm u Sun, Yan fu, Lele Kong, Haolang Q,, Helongang Insttute

More information

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

The equation of motion of a dynamical system is given by a set of differential equations. That is (1) Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence

More information

CS 468 Lecture 16: Isometry Invariance and Spectral Techniques

CS 468 Lecture 16: Isometry Invariance and Spectral Techniques CS 468 Lecture 16: Isometry Invarance and Spectral Technques Justn Solomon Scrbe: Evan Gawlk Introducton. In geometry processng, t s often desrable to characterze the shape of an object n a manner that

More information

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH Turbulence classfcaton of load data by the frequency and severty of wnd gusts Introducton Oscar Moñux, DEWI GmbH Kevn Blebler, DEWI GmbH Durng the wnd turbne developng process, one of the most mportant

More information

In this section is given an overview of the common elasticity models.

In this section is given an overview of the common elasticity models. Secton 4.1 4.1 Elastc Solds In ths secton s gven an overvew of the common elastcty models. 4.1.1 The Lnear Elastc Sold The classcal Lnear Elastc model, or Hooean model, has the followng lnear relatonshp

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

290 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 45, NO. 3, MARCH H d (e j! ;e j!

290 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 45, NO. 3, MARCH H d (e j! ;e j! 9 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 45, NO. 3, MARCH 998 Transactons Brefs Two-Dmensonal FIR Notch Flter Desgn Usng Sngular Value Decomoston S.-C. Pe,

More information

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Analyss of Varance and Desgn of Exerments-I MODULE II LECTURE - GENERAL LINEAR HYPOTHESIS AND ANALYSIS OF VARIANCE Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 3.

More information

An Interactive Optimisation Tool for Allocation Problems

An Interactive Optimisation Tool for Allocation Problems An Interactve Optmsaton ool for Allocaton Problems Fredr Bonäs, Joam Westerlund and apo Westerlund Process Desgn Laboratory, Faculty of echnology, Åbo Aadem Unversty, uru 20500, Fnland hs paper presents

More information

MA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials

MA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials MA 323 Geometrc Modellng Course Notes: Day 13 Bezer Curves & Bernsten Polynomals Davd L. Fnn Over the past few days, we have looked at de Casteljau s algorthm for generatng a polynomal curve, and we have

More information

ABSTRACT. 1. Introduction. propagation of. with respect to. Method. dered in. terms of the velocity Cartesin. waves in the. the Atmosphere. D one.

ABSTRACT. 1. Introduction. propagation of. with respect to. Method. dered in. terms of the velocity Cartesin. waves in the. the Atmosphere. D one. Journal of Aled Mathematcs and Physcs,, 13, 1, 1-17 htt://dx.do.org/1.436/jam..13.143 Publshed Onlne October 13 (htt://www.scr.org/journal/jam) Numercal Smulaton of Acoustc-Gravty Waves Proagaton n a Heterogeneous

More information

REAL-TIME DETERMINATION OF INDOOR CONTAMINANT SOURCE LOCATION AND STRENGTH, PART II: WITH TWO SENSORS. Beijing , China,

REAL-TIME DETERMINATION OF INDOOR CONTAMINANT SOURCE LOCATION AND STRENGTH, PART II: WITH TWO SENSORS. Beijing , China, REAL-TIME DETERMIATIO OF IDOOR COTAMIAT SOURCE LOCATIO AD STREGTH, PART II: WITH TWO SESORS Hao Ca,, Xantng L, Wedng Long 3 Department of Buldng Scence, School of Archtecture, Tsnghua Unversty Bejng 84,

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

The classical spin-rotation coupling

The classical spin-rotation coupling LOUAI H. ELZEIN 2018 All Rghts Reserved The classcal spn-rotaton couplng Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 louaelzen@gmal.com Abstract Ths paper s prepared to show that a rgd

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Multigradient for Neural Networks for Equalizers 1

Multigradient for Neural Networks for Equalizers 1 Multgradent for Neural Netorks for Equalzers 1 Chulhee ee, Jnook Go and Heeyoung Km Department of Electrcal and Electronc Engneerng Yonse Unversty 134 Shnchon-Dong, Seodaemun-Ku, Seoul 1-749, Korea ABSTRACT

More information

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter J. Basc. Appl. Sc. Res., (3541-546, 01 01, TextRoad Publcaton ISSN 090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com The Quadratc Trgonometrc Bézer Curve wth Sngle Shape Parameter Uzma

More information

Tensor Analysis. For orthogonal curvilinear coordinates, ˆ ˆ (98) Expanding the derivative, we have, ˆ. h q. . h q h q

Tensor Analysis. For orthogonal curvilinear coordinates, ˆ ˆ (98) Expanding the derivative, we have, ˆ. h q. . h q h q For orthogonal curvlnear coordnates, eˆ grad a a= ( aˆ ˆ e). h q (98) Expandng the dervatve, we have, eˆ aˆ ˆ e a= ˆ ˆ a h e + q q 1 aˆ ˆ ˆ a e = ee ˆˆ ˆ + e. h q h q Now expandng eˆ / q (some of the detals

More information

International Power, Electronics and Materials Engineering Conference (IPEMEC 2015)

International Power, Electronics and Materials Engineering Conference (IPEMEC 2015) Internatonal Power, Electroncs and Materals Engneerng Conference (IPEMEC 2015) Dynamc Model of Wnd Speed Dstrbuton n Wnd Farm Consderng the Impact of Wnd Drecton and Interference Effects Zhe Dong 1, a,

More information

on the improved Partial Least Squares regression

on the improved Partial Least Squares regression Internatonal Conference on Manufacturng Scence and Engneerng (ICMSE 05) Identfcaton of the multvarable outlers usng T eclpse chart based on the mproved Partal Least Squares regresson Lu Yunlan,a X Yanhu,b

More information

Regulation No. 117 (Tyres rolling noise and wet grip adhesion) Proposal for amendments to ECE/TRANS/WP.29/GRB/2010/3

Regulation No. 117 (Tyres rolling noise and wet grip adhesion) Proposal for amendments to ECE/TRANS/WP.29/GRB/2010/3 Transmtted by the expert from France Informal Document No. GRB-51-14 (67 th GRB, 15 17 February 2010, agenda tem 7) Regulaton No. 117 (Tyres rollng nose and wet grp adheson) Proposal for amendments to

More information

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system.

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system. Chapter Matlab Exercses Chapter Matlab Exercses. Consder the lnear system of Example n Secton.. x x x y z y y z (a) Use the MATLAB command rref to solve the system. (b) Let A be the coeffcent matrx and

More information

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

More information

NEWTON S LAWS. These laws only apply when viewed from an inertial coordinate system (unaccelerated system).

NEWTON S LAWS. These laws only apply when viewed from an inertial coordinate system (unaccelerated system). EWTO S LAWS Consder two partcles. 1 1. If 1 0 then 0 wth p 1 m1v. 1 1 2. 1.. 3. 11 These laws only apply when vewed from an nertal coordnate system (unaccelerated system). consder a collecton of partcles

More information

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration Managng Caacty Through eward Programs on-lne comanon age Byung-Do Km Seoul Natonal Unversty College of Busness Admnstraton Mengze Sh Unversty of Toronto otman School of Management Toronto ON M5S E6 Canada

More information

Adaptive RFID Indoor Positioning Technology for Wheelchair Home Health Care Robot. T. C. Kuo

Adaptive RFID Indoor Positioning Technology for Wheelchair Home Health Care Robot. T. C. Kuo Adaptve RFID Indoor Postonng Technology for Wheelchar Home Health Care Robot Contents Abstract Introducton RFID Indoor Postonng Method Fuzzy Neural Netor System Expermental Result Concluson -- Abstract

More information

DETERMINATION OF UNCERTAINTY ASSOCIATED WITH QUANTIZATION ERRORS USING THE BAYESIAN APPROACH

DETERMINATION OF UNCERTAINTY ASSOCIATED WITH QUANTIZATION ERRORS USING THE BAYESIAN APPROACH Proceedngs, XVII IMEKO World Congress, June 7, 3, Dubrovn, Croata Proceedngs, XVII IMEKO World Congress, June 7, 3, Dubrovn, Croata TC XVII IMEKO World Congress Metrology n the 3rd Mllennum June 7, 3,

More information

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge

More information