NUMERICAL SIMULATION OF ION TRANSPORT DURING ANODIC BONDING
|
|
- Daniela Chambers
- 6 years ago
- Views:
Transcription
1 NUMERICAL SIMULATION OF ION TRANSPORT DURING ANODIC BONDING Maurco Fabbr José Roberto Sbraga Senna Laboratóro Assocado de Sensores e Materas - LAS Insttuto Naconal de Pesqusas Espacas CP 515, São José dos Campos SP Brazl Abstract. We descrbe a stable numerc dscretzaton procedure of the onc non-lnear transport equatons that governs the depleton layer dynamcs durng electrostatc bondng, n the absence of carrer dffuson. The numercal scheme allows for ndependent caton and anon moblty models, and can be accommodated to handle more complcated effects, such as the oxde layer buld-up at the metal-glass nterface and the nterdependence between sodum and oxygen transport. For Pyrex-on-slcon (s-g) bondng, results from our smulatons show that the correct global transent behavor s acheved when the oxygen moblty n the glass s around one-ffth of the value for the sodum ons; under those condtons, the depleton-layer charge profles are rather concentrated around the depleton front (away from the s-g nterface), yeldng an essentally neutral depleton zone almost everywhere. Consderaton of an addtonal potental drop due to oxde electrochemcal deposton at the bondng nterface does not change qualtatvely the model predctons. Keywords: anodc bondng, electrostatc bondng, electrc depleton layer, movng boundary problems
2 1. INTRODUCTION Anodc bondng s an mportant usual technque n mcrofabrcaton for metal-glass sealng, and was ntroduced by Walls and Pomeranz n Typcally, a metal-nsulator juncton s made by clean mechancal contact between a sodum contanng glass plate and a metal or semconductor. The juncton s then heated around 3 o C and a hgh constant voltage ( 1V) s appled between the metal (anode) and the glass (cathode) a metal contact beng provded to the free glass surface. At those moderated hgh temperatures, sodum catons Na + from the dssocaton of Na 2 O nsde the glass mgrate towards the cathode. Snce the dssocated oxygen anons have a small moblty (and the temperature s stll too low for any sgnfcant electronc conducton), a depleton layer s formed n the glass, n the vcnty of the glass-metal nterface. The hgh electrostatc feld brngs the surfaces nto ntmate contact, and metal oxde s then formed at the nterface (t s beleved that the source of oxygen atoms s the natural humdty present n the glass). That provdes a clear and homogeneous weldng whch conforms to large contact areas and allow bondng between surfaces that are not perfectly planar - for that reason t has been ntensvely used for cavty sealng and devce encapsulaton. In practce, usually a large bondng surface (around 1cm 2 ) s frst assembled, submtted to the bondng process and then cut nto fnal unts. The behavor of the transent electrc current durng the bondng process provdes ndrect nformaton about the electrc transport nsde the glass and the dynamcs of the depleton layer buld-up. It s clearly observed dstnct short-term and long-range regmes, whch have been modeled ether by equvalent-crcut models (Anthony, 1983; Albaugh, 1991) or by mcroscopc mean-feld ohmc transport (Carlson et al., 1972; Ros et al., 2). In the mproved model by Ros et al. (2), a crtcal feld value s ntroduced, above whch oxygen transport s allowed through the glass, thus provdng a threshold for dstnct short and longterm behavor. Nevertheless, all of those models so far have faled to account for the global observed electrcal transent, as they predct ether a too-short ntal regme or an ncorrect long-range behavor. The correct pcture of charge transfer nsde the depleton layer requres a detaled charge-compensaton mechansm that has not been adequately taken nto account by earler works, whch amed at models wth analytc closed solutons. In ths work, we descrbe a numercal scheme that allows for ndependent sodum and oxygen moblty models, and consders the nterdependence between sodum and oxygen transport. Results then show that the correct global transent behavor seems to be acheved when the oxygen anons moblty s enough to yeld an essentally neutral depleton zone almost everywhere, wth a rather concentrated charge profle around the depleton front (away from the glass-metal nterface). Oxygen moblty s thus lkely to set up anon transport nto the glass at very early stages of the bondng process. Nevertheless, mportant detaled dscrepances stll reman between the numercal smulatons and the known expermental behavor of the electrc transent. We thus nvestgate the ssue further by takng nto account the nsulatng oxde layer buld-up at the slcon-glass nterface. 2. ELECTROSTATIC MODEL FOR THE DEPLETION-LAYER BUILD-UP We denote the normalzed sodum (caton) and oxygen (anon) charge denstes nsde the glass by ρ + and ρ -, respectvely, such that ρ +,- 1 (ρ +,- = n +,- /n +, where n + s the ntal sodum content n the glass). Intally (tme t=) the glass s unformly neutral, ρ + = ρ -, the net charge ρ = ρ + - ρ - s zero and the electrc feld E = E s unform throughout. Then sodum catons Na +, from the dssocaton of Na 2 O nsde the glass, begn to be dragged by
3 the electrc feld, whle oxygen anons are stll mmoble due to ther low moblty. If we neglect carrer dffuson, then the Na + charge content nsde the glass s a stepwse profle, whch travels towards the cathode wth an nstantaneous speed v(t). Referrng to Fg. (1), denotng by J + the normalzed charge flux of the sodum catons, the depleton layer front Γ s dsplaced by an amount dx durng the tme nterval dt such that dx = J + dt (1) Note that the glass-metal nterface at x= s not a source of sodum ons, and therefore J + = for x Γ. The electrc feld buld-up n the depleton layer follows Gauss-Posson law: E = ρ/ ε x (2), where ε s the delectrc constant of the depleton layer medum. Outsde the depleton regon, the electrc feld s unform. Assumng that the entre potental drop occurs wthn the glass thckness L, the electrc feld profle must satsfy L V = Edx (3), where V s the appled voltage. The local charge flux relates to the local electrc feld value and local charge denstes accordng to a consttutve relatonshp J = J(E,ρ) that s usually wrtten n the form J + = µ + ρ + f(e) (4), where µ s the on moblty. In the absence of oxygen transport, Eqs. (1) to (4) determne the tme evoluton of the depleton layer, Γ(t). The smple case of ohmc behavor for Na + transport, J + = µ + ρ + E, yelds the same soluton that Albaugh (1991) found through a varable-capactance equvalent crcut model. Note that, as the depleton layer front advances, the local electrc feld ncreases at the glass-metal nterface and decreases n the layer front; therefore, the speed of advance v(t) decreases n tme. Now f one consders the actual sodum content of commercal glasses sutable for anodc bondng, t can be shown that sodum drft nsde the glass cannot proceed for long tmes wthout charge compensaton. Wth Na + transport alone, the electrc feld around the glassmetal nterface would quckly reach values well above the glass delectrc strength (Ros et al., 2). Incluson of anon transport s done by a contnuty equaton for the oxygen charge densty and by a correspondng consttutve relatonshp ρ J = (5) t x J - = µ - ρ - f(e) (6)
4 Qualtatvely, as the electrc feld values n the depleton layer get hgher, the counter-flux of oxygen anons towards the glass-metal nterface becomes apprecable. We then expect that an essentally charge-neutral regon n the depleton layer develops wth tme, whch lmts the value of the electrc feld at the glass-metal nterface. Fg. (1) shows typcal profles for charge denstes and electrc feld that are expected durng the depleton layer buld-up. METAL GLASS 1 ρ + 1 x ρ _ ρ = ρ + ρ_ -1 E I E E Γ Γ Fgure 1 Typcal charge profles and electrc feld durng development of the depleton layer, wth both sodum (+) and oxygen(-) on transport. 3. NUMERICAL SCHEME The numercal strategy takes nto account that (1) oxygen transport nsde the glass s neglgble outsde the depleton layer, where the electrc fled s unform and steady decreasng n tme; (2) the depleton layer front speed decreases n tme, and (3) a stable numercal scheme s needed for the tme ntegraton of Eq. (5). Neglectng the oxygen transport outsde the depleton layer s also justfed from the pont of vew that, for x>γ, even n the presence of sodum drft, oxygen atoms reman essentally bounded to Na 2 O onc pars; wth that n mnd, we actually mpose a null-flux of O -- when the local Na + charge densty s unperturbed. Fnte-dfference dscretzaton s done usng fxed tme-steps t. Eqs. (1) to (6) s then treated as a movng boundary problem, whch s ntegrated accordng to the followng algorthm: 1. from the current value of the electrc feld at Γ, obtan the local flux of the Na + catons from the consttutve relaton, Eq. (4); 2. calculate the dsplacement x of the depleton-layer front durng the tme-nterval t, accordng to Eq. (1);
5 3. from the current values of the electrc feld nsde the depleton-layer regon and the anon charge densty profle ρ - (x), obtan the local flux of the oxygen anons at the current tme, usng the consttutve relaton, Eq. (6); 4. obtan the charge densty profle ρ - (x) at tme t+ t by a Crank-Ncholson sem-mplct ntegraton of the contnuty equaton, Eq. (5); 5. from the net charge feld ρ = ρ + - ρ -, the electrc feld at tme t+ t s found by ntegraton of the Posson Eq. (2) subjected to the normalzaton of the total potental, Eq. (3). Intal condtons (when t= and Γ=) are E = E = V /L, ρ + = ρ - =1. (unform felds). Note that, as tme goes on, step 2 establshes a varable space mesh over the doman x Γ. 3.1 Detals of the varable-mesh fnte-dfference Cranck-Ncholson scheme In the followng, A and A stands for the value of the feld A at mesh poston at tmes (t) and (t+ t), respectvely, whle ρ and ρ are values at (t) and (t+ t) of the charge densty value over the mesh nterval (, +1). In ths secton, ρ and J refer to the anon charge densty and flux; we omt the charge label " - " for clarty. Dscretzaton of the contnuty equaton for the oxygen anons s done nsertng the consttutve relaton Eq. (6) nto Eq. (5) and adoptng a sem-mplct approxmaton for the charge densty: J ρ + ρ = µ f (E ) (7) 2 Electrc feld and local moblty values are treated explctly n tme. Values of the electrc feld and charge fluxes are specfed at mesh nodes, whle charge denstes are gven stepwse at the mesh ntervals. We number the mesh nodes as =1(1)(M+1), such that x 1 = and x M+1 =Γ. For the charge densty at the nodes, we adopt a smple lnear nterpolaton: ρ 1 + ρ ρ = (8) 2, wth boundary condtons ρ 1 = ρ1 and ρ M =1.. In that manner, we arrve at a smple trdagonal system of algebrac equatons for =1(1)M, to be solved at each tme-step. 3.2 Space mesh renormalzaton As the mesh sze M ncreases and the current mesh nterval x at Γ decreases n tme, a renormalzaton of the spatal mesh s done perodcally after a fxed number of tme-steps, thus preservng CPU tme by avodng a too-hgh spatal resoluton far from the depletonlayer advancng front (where the charge feld s lkely to be nearly unform). The strategy s to merge two adjacent mesh ntervals when the charge feld gradent s smaller than a gven threshold. Ths s done numercally by comparng the weghted numercal dsperson between two adjacent nterval values of the charge densty wth a gven mnmum. ρ,
6 4. NUMERICAL RESULTS Values for the observed external electrc current are proportonal to the sodum catons flux, whch s evaluated from Eq. (4) at the nterface poston Γ. In the smple lnear (ohmc) model, J + has the same behavor of the local electrc feld at Γ. Numerc results are shown n Fg. (2), usng reasonable known estmates for the physcal constants, and the same expermental settngs used by Albaugh, 1991 (anodc bondng of Slcon to Pyrex glass). Those are lsted n Table 1. Table 1. Dmensonal values of parameters employed n the numerc smulatons Parameter Symbol Value Expermental settngs Appled voltage V 1V Glass thckness L 3,2mm Physcal propertes Delectrc constant ε 7ε Permttvty of free space ε F/m Sodum charge content n C/m 3 Ionc resstvty of Na + r Ω.m Characterstc values of length D and tme τ for the depleton zone dynamcs can be defned as 2εV D = (9a) n + 2εrL τ = (9b) D, and they are D = m ; τ = 2.6s for the settngs of Table J/J µ_ = 3x Tme [s] Fgure 2 Decay of the normalzed electrc current n tme, as a functon of the oxygen anon moblty µ. Open crcles are expermental ponts measured by Albaugh (1991). Sold curves are the results of the numerc smulatons. The moblty of catons s held fxed at the value µ + = 1.
7 The numerc results shown n Fg. (2) for µ = was obtaned by Albaugh (1991) wth an equvalent crcut model. There s a far general agreement between our model and the observed behavor of the electrc current decay, both for short and long tme regmes, as far as the oxygen moblty n the glass reaches 2% of the sodum moblty. In that case, most of the depleton layer s almost neutral and unform, the net charge profle resemblng a delta functon around Γ (Fg. 3). 6 ( E/ E ) electrc feld dstance from the nterface ( x/ d ) Fgure 3 Electrc feld and net charge profle n he depleton zone for µ =.2, at tme 21.4τ (44.1s). The nset s an enlargement of the net charge profle around the depleton layer front Γ. Values of the computed depleton layer wdth can be seen n Fg. (4). Depleton lengths are dramatcally ncreased for hgh anon moblty, and that s n accordance wth the expermental results of Walls (197), that reported depleton wdths of the order 5 D Na + depleton wdth [n d unts] 1 3x1-5.3 µ_ = Tme [mn] Fgure 4 The computed depleton layer advance n tme, as a functon of the oxygen anon moblty µ.
8 The electrc feld at the slcon-glass nterface attans lower values, more compatble wth the delectrc strength of pure slca ( 1 7 V/cm), as the anon moblty ncreases. Ths s shown n Fg. (5). Electrc feld at s-g nterface [E/E ] µ_ = 1 5 3x E r Tme [s] Fgure 5 Numercal results for the electrc feld at the slcon-glass (s-g) nterface durng the anodc transent, as a functon of the oxygen anon moblty µ. E r s the rupture feld n pure slca. 5. EFFECTS OF THE OXIDE LAYER GROWTH Deposton of oxygen at the anode results n a contnuous growth of an nsulatng oxde layer at the metal-glass nterface, of thckness x (t). In the numerc smulatons, that can be taken nto account by consderng an unform electrc feld n the layer regon, -x x, and modfyng Eq. (3) as L = V Edx (1) x The detaled growth dynamcs of the oxde layer should consder that oxygen atoms comng from the glass accumulate at the glass-metal nterface and only reach metal atoms through dffuson across the layer x. As a frst smplfed model, we here consder that oxygen atoms are nstantaneously ncorporated nto the metal matrx to form an unform oxde layer. In that case, the ncrease dx of the oxde layer durng the tme nterval dt can be found from the anon flux J - at the metal-glass nterface (x=) and the value of the oxygen charge densty n the oxde, n ox : dt dx = J (,t) (11) n ox
9 Incluson of Eqs. (1) and (11) n the numerc model s straghtforward. Calculatons were done for a slcon-glass nterface. Each molecule of slcon oxde, SO 2, carres two oxygen anons, whch correspond to four elementary charges. From the known molecular densty SO2 n = 2, molecules/m 3 (Ruska, 1987), we thus have n ox = C/m 3. On the assumpton that, n the glass, the only source of oxygen atoms s the dssocaton of Na 2 O, usng the known data for the sodum content n Pyrex glass (Albaugh, 1991) gves a rough estmate n 18 n ox + 6 (12) Fg. (6) shows results of the numerc smulatons wth our smplfed homogeneous oxde layer growth. Unfortunately, t seems that consderaton of the potental drop through the oxde layer does not mprove the qualtatve agreement between the model and the expermental data. 1. J/J.8 wthout oxd layer.6.4 observed µ_ =.2 µ_ = Tme [s] Fgure 6 Numercal estmate of the nfluence of the oxde layer growth at the slconglass nterface on the measured electrc current transent. That s to be compared to Fg. (2). The numbers that label the curves are the values for the normalzed oxygen charge densty n the oxde, Eq. (12). 6. CONCLUSIONS AND COMMENTS The numerc smulatons pont towards the mportance of anon transport n the glass even at very early tmes durng electrostatc slcon-glass (s-g) bondng process. Hgh oxygen moblty n the glass lmts the electrc feld to moderated values at the s-g nterface and provded for large depleton layer wdths. Those fndngs are n accordance to the known expermental data, as far as electrc transents are concerned.
10 Expermental data from Albaugh (1991) seems to ndcate that a large electrc current s sustaned for long tmes (an order of magntude greater than the characterstc depleton tme) at ntal stages of the process. Our model, wth the current assumptons cannot explan that. Incluson of an addtonal potental drop due to oxde growth at the s-g nterface does not mprove qualtatvely the numerc predctons. Further expermental data under controlled condtons are thus desrable, and are beng devsed at our facltes at INPE. Computatons were done n a 2GHz Asus-Athlon PC machne wth the gcc compler. Stablty of the adopted Crank-Ncholson sem-mplct scheme requres smaller values for the tme-step t as the anon moblty µ ncreases. As a typcal example, ntegraton for µ =.2 (τ=2.6) durng the frst 9 seconds of the depleton layer growth requred a maxmum tme-step of τ and takes nearly an hour and a half of CPU tme. The model here descrbed s sutable to encompass a whole class of moblty and crossonc transport models. Improvements can be made both n the fxed-tme ntegraton strategy and mesh renormalzaton, towards a truly adaptve algorthm. In the present form, excessve CPU tme s requred as the rato of anon to caton mobltes approach 1.. REFERENCES Anthony, T.R., Anodc bondng of mperfect surfaces. J. Appl. Phys. 54, pp Albaugh, K.B., Electrode Phenomena durng Anodc Bondng of Slcon to Sodum Boroslcate Glass J. Electrochem. Soc. 138, pp Carlson, D.E.; Hang, K.W. and Stockdale, F., Electrode Polarzaton n Alkalcontanng Glasses J. Am. Cer. Soc. 55, pp.337. Ros, A.N.; Gracas, A.C.; Maa, I.A. and Senna, J.R., 2. Modelng the Anodc Current n Slcon-Glass Bondng. Rev. Bras. Aplc. Vacuo 19, pp Ruska, W.S., Mcroelectronc Processng. McGraw-Hll. Walls, G. and Pomeranz, D.I., Feld Asssted Glass-Metal Sealng J. Appl. Phys. 4, pp Walls, G., 197. Drect-Current Polarzaton durng Feld-Asssted Glass-Metal Sealng. J. Am. Cer. Soc. 53, pp.563.
Electrostatic Potential from Transmembrane Currents
Electrostatc Potental from Transmembrane Currents Let s assume that the current densty j(r, t) s ohmc;.e., lnearly proportonal to the electrc feld E(r, t): j = σ c (r)e (1) wth conductvty σ c = σ c (r).
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informationNumerical Transient Heat Conduction Experiment
Numercal ransent Heat Conducton Experment OBJECIVE 1. o demonstrate the basc prncples of conducton heat transfer.. o show how the thermal conductvty of a sold can be measured. 3. o demonstrate the use
More informationInductance 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 informationAmplification and Relaxation of Electron Spin Polarization in Semiconductor Devices
Amplfcaton and Relaxaton of Electron Spn Polarzaton n Semconductor Devces Yury V. Pershn and Vladmr Prvman Center for Quantum Devce Technology, Clarkson Unversty, Potsdam, New York 13699-570, USA Spn Relaxaton
More informationCSci 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 informationLecture Note 3. Eshelby s Inclusion II
ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte
More informationA PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.
Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR
More informationFinite Element Modelling of truss/cable structures
Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures
More informationModule 1 : The equation of continuity. Lecture 1: Equation of Continuity
1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum
More informationAging model for a 40 V Nch MOS, based on an innovative approach F. Alagi, R. Stella, E. Viganò
Agng model for a 4 V Nch MOS, based on an nnovatve approach F. Alag, R. Stella, E. Vganò ST Mcroelectroncs Cornaredo (Mlan) - Italy Agng modelng WHAT IS AGING MODELING: Agng modelng s a tool to smulate
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationAppendix B. The Finite Difference Scheme
140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton
More informationOne-sided finite-difference approximations suitable for use with Richardson extrapolation
Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,
More informationNON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS
IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc
More informationELASTIC 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 informationWeek3, 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 informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationDUE: WEDS FEB 21ST 2018
HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant
More informationSupporting Information
Supportng Informaton The neural network f n Eq. 1 s gven by: f x l = ReLU W atom x l + b atom, 2 where ReLU s the element-wse rectfed lnear unt, 21.e., ReLUx = max0, x, W atom R d d s the weght matrx to
More informationConstitutive Modelling of Superplastic AA-5083
TECHNISCHE MECHANIK, 3, -5, (01, 1-6 submtted: September 19, 011 Consttutve Modellng of Superplastc AA-5083 G. Gulano In ths study a fast procedure for determnng the constants of superplastc 5083 Al alloy
More informationThe Finite Element Method
The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More information4DVAR, according to the name, is a four-dimensional variational method.
4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The
More informationHigh resolution entropy stable scheme for shallow water equations
Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal
More informationSupplementary Information
Supplementary Informaton SUPPLEMENTARY FIGURES Energy of electrons ev -3-5 -7-3.6-5.1-6.6 E C E F P cathode 1 2 Free carrer concentraton 1 25 m -3 E V anode y x Supplementary Fgure S1: Two-dmensonal potental
More informationFTCS Solution to the Heat Equation
FTCS Soluton to the Heat Equaton ME 448/548 Notes Gerald Recktenwald Portland State Unversty Department of Mechancal Engneerng gerry@pdx.edu ME 448/548: FTCS Soluton to the Heat Equaton Overvew 1. Use
More informationCHAPTER 14 GENERAL PERTURBATION THEORY
CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves
More informationLecture 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 information9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations
Physcs 171/271 - Chapter 9R -Davd Klenfeld - Fall 2005 9 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys a set
More informationModule 9. Lecture 6. Duality in Assignment Problems
Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept
More informationMATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018
MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng
More informationUnderstanding Electrophoretic Displays: Transient Current Characteristics of Dispersed Charges in a Non-Polar Medium
Understandng Electrophoretc Dsplays: Transent Current Characterstcs of Dspersed Charges n a Non-Polar Medum Yoocharn Jeon, Pavel Kornlovtch, Patrca Beck, Zhang-Ln Zhou, Rchard Henze, Tm Koch HP Laboratores
More informationElectrochemistry Thermodynamics
CHEM 51 Analytcal Electrochemstry Chapter Oct 5, 016 Electrochemstry Thermodynamcs Bo Zhang Department of Chemstry Unversty of Washngton Seattle, WA 98195 Former SEAC presdent Andy Ewng sellng T-shrts
More informationis the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors
Multple Lnear and Polynomal Regresson wth Statstcal Analyss Gven a set of data of measured (or observed) values of a dependent varable: y versus n ndependent varables x 1, x, x n, multple lnear regresson
More informationConvexity preserving interpolation by splines of arbitrary degree
Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete
More informationInterconnect Modeling
Interconnect Modelng Modelng of Interconnects Interconnect R, C and computaton Interconnect models umped RC model Dstrbuted crcut models Hgher-order waveform n dstrbuted RC trees Accuracy and fdelty Prepared
More informationThermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850)
hermal-fluds I Chapter 18 ransent heat conducton Dr. Prmal Fernando prmal@eng.fsu.edu Ph: (850) 410-6323 1 ransent heat conducton In general, he temperature of a body vares wth tme as well as poston. In
More informationChapter 12. Ordinary Differential Equation Boundary Value (BV) Problems
Chapter. Ordnar Dfferental Equaton Boundar Value (BV) Problems In ths chapter we wll learn how to solve ODE boundar value problem. BV ODE s usuall gven wth x beng the ndependent space varable. p( x) q(
More informationLecture Notes on Linear Regression
Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume
More informationNegative Binomial Regression
STATGRAPHICS Rev. 9/16/2013 Negatve Bnomal Regresson Summary... 1 Data Input... 3 Statstcal Model... 3 Analyss Summary... 4 Analyss Optons... 7 Plot of Ftted Model... 8 Observed Versus Predcted... 10 Predctons...
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationSUPPLEMENTARY INFORMATION
do: 0.08/nature09 I. Resonant absorpton of XUV pulses n Kr + usng the reduced densty matrx approach The quantum beats nvestgated n ths paper are the result of nterference between two exctaton paths of
More informationTHE 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 informationSTUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS
Blucher Mechancal Engneerng Proceedngs May 0, vol., num. www.proceedngs.blucher.com.br/evento/0wccm STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Takahko Kurahash,
More information2 Finite difference basics
Numersche Methoden 1, WS 11/12 B.J.P. Kaus 2 Fnte dfference bascs Consder the one- The bascs of the fnte dfference method are best understood wth an example. dmensonal transent heat conducton equaton T
More informationGrand canonical Monte Carlo simulations of bulk electrolytes and calcium channels
Grand canoncal Monte Carlo smulatons of bulk electrolytes and calcum channels Thess of Ph.D. dssertaton Prepared by: Attla Malascs M.Sc. n Chemstry Supervsor: Dr. Dezső Boda Unversty of Pannona Insttute
More informationSCALING OF MICRODISCHARGE DEVICES: PYRAMIDAL STRUCTURES*
SCALING OF MICRODISCHARGE DEVICES: PYRAMIDAL STRUCTURES* Mark J. Kushner Dept. Electrcal and Computer Engneerng Urbana, IL 61801 USA mjk@uuc.edu http://ugelz.ece.uuc.edu October 2003 * Work supported by
More informationTransfer 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 informationANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)
Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of
More informationGouy-Chapman model (1910) The double layer is not as compact as in Helmholtz rigid layer.
CHE465/865, 6-3, Lecture 1, 7 nd Sep., 6 Gouy-Chapman model (191) The double layer s not as compact as n Helmholtz rgd layer. Consder thermal motons of ons: Tendency to ncrease the entropy and make the
More informationChapter 8. Potential Energy and Conservation of Energy
Chapter 8 Potental Energy and Conservaton of Energy In ths chapter we wll ntroduce the followng concepts: Potental Energy Conservatve and non-conservatve forces Mechancal Energy Conservaton of Mechancal
More informationELECTRONIC DEVICES. Assist. prof. Laura-Nicoleta IVANCIU, Ph.D. C13 MOSFET operation
ELECTRONIC EVICES Assst. prof. Laura-Ncoleta IVANCIU, Ph.. C13 MOSFET operaton Contents Symbols Structure and physcal operaton Operatng prncple Transfer and output characterstcs Quescent pont Operatng
More information1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations
Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys
More information2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification
E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton
More information2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12
REVIEW Lecture 11: 2.29 Numercal Flud Mechancs Fall 2011 Lecture 12 End of (Lnear) Algebrac Systems Gradent Methods Krylov Subspace Methods Precondtonng of Ax=b FINITE DIFFERENCES Classfcaton of Partal
More informationModule 3: Element Properties Lecture 1: Natural Coordinates
Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers
More informationNote 10. Modeling and Simulation of Dynamic Systems
Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada
More informationDifference Equations
Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1
More informationFUZZY FINITE ELEMENT METHOD
FUZZY FINITE ELEMENT METHOD RELIABILITY TRUCTURE ANALYI UING PROBABILITY 3.. Maxmum Normal tress Internal force s the shear force, V has a magntude equal to the load P and bendng moment, M. Bendng moments
More informationDO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED.
EE 539 Homeworks Sprng 08 Updated: Tuesday, Aprl 7, 08 DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED. For full credt, show all work. Some problems requre hand calculatons.
More informationCONTROLLED FLOW SIMULATION USING SPH METHOD
HERI COADA AIR FORCE ACADEMY ROMAIA ITERATIOAL COFERECE of SCIETIFIC PAPER AFASES 01 Brasov, 4-6 May 01 GEERAL M.R. STEFAIK ARMED FORCES ACADEMY SLOVAK REPUBLIC COTROLLED FLOW SIMULATIO USIG SPH METHOD
More informationTensor Smooth Length for SPH Modelling of High Speed Impact
Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru
More informationGravitational 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 informationProblem Set 9 Solutions
Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem
More informationPHYS 1101 Practice problem set 12, Chapter 32: 21, 22, 24, 57, 61, 83 Chapter 33: 7, 12, 32, 38, 44, 49, 76
PHYS 1101 Practce problem set 1, Chapter 3: 1,, 4, 57, 61, 83 Chapter 33: 7, 1, 3, 38, 44, 49, 76 3.1. Vsualze: Please reer to Fgure Ex3.1. Solve: Because B s n the same drecton as the ntegraton path s
More informationarxiv:cs.cv/ Jun 2000
Correlaton over Decomposed Sgnals: A Non-Lnear Approach to Fast and Effectve Sequences Comparson Lucano da Fontoura Costa arxv:cs.cv/0006040 28 Jun 2000 Cybernetc Vson Research Group IFSC Unversty of São
More informationFrequency dependence of the permittivity
Frequency dependence of the permttvty February 7, 016 In materals, the delectrc constant and permeablty are actually frequency dependent. Ths does not affect our results for sngle frequency modes, but
More informationElectrical double layer: revisit based on boundary conditions
Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer
More informationChapter 13: Multiple Regression
Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to
More information1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0
1) Slcon oxde has a typcal surface potental n an aqueous medum of ϕ, = 7 mv n 5 mm l at ph 9. Whch concentraton of catons do you roughly expect close to the surface? What s the average dstance between
More informationLab session: numerical simulations of sponateous polarization
Lab sesson: numercal smulatons of sponateous polarzaton Emerc Boun & Vncent Calvez CNRS, ENS Lyon, France CIMPA, Hammamet, March 2012 Spontaneous cell polarzaton: the 1D case The Hawkns-Voturez model for
More informationEcon107 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 informationCOMPOSITE 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 information8.592J: Solutions for Assignment 7 Spring 2005
8.59J: Solutons for Assgnment 7 Sprng 5 Problem 1 (a) A flament of length l can be created by addton of a monomer to one of length l 1 (at rate a) or removal of a monomer from a flament of length l + 1
More informationALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION
ANALELE ŞTIINŢIFICE ALE UNIVERSITĂŢII AL.I. CUZA DIN IAŞI (S.N.) MATEMATICĂ, Tomul LIX, 013, f.1 DOI: 10.478/v10157-01-00-y ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION BY ION
More informationSecond Order Analysis
Second Order Analyss In the prevous classes we looked at a method that determnes the load correspondng to a state of bfurcaton equlbrum of a perfect frame by egenvalye analyss The system was assumed to
More informationImplicit Integration Henyey Method
Implct Integraton Henyey Method In realstc stellar evoluton codes nstead of a drect ntegraton usng for example the Runge-Kutta method one employs an teratve mplct technque. Ths s because the structure
More information8 Derivation of Network Rate Equations from Single- Cell Conductance Equations
Physcs 178/278 - Davd Klenfeld - Wnter 2015 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons We consder a network of many neurons, each of whch obeys a set of conductancebased,
More informationConvergence of random processes
DS-GA 12 Lecture notes 6 Fall 216 Convergence of random processes 1 Introducton In these notes we study convergence of dscrete random processes. Ths allows to characterze phenomena such as the law of large
More informationPhysics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1
P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the
More informationGlobal Sensitivity. Tuesday 20 th February, 2018
Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values
More informationThe 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 informationResource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud
Resource Allocaton wth a Budget Constrant for Computng Independent Tasks n the Cloud Wemng Sh and Bo Hong School of Electrcal and Computer Engneerng Georga Insttute of Technology, USA 2nd IEEE Internatonal
More informationUncertainty 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 informationField computation with finite element method applied for diagnosis eccentricity fault in induction machine
Proceedngs of the Internatonal Conference on Recent Advances n Electrcal Systems, Tunsa, 216 Feld computaton wth fnte element method appled for dagnoss eccentrcty fault n nducton machne Moufd Mohammed,
More informationTowards the modeling of microgalvanic coupling in aluminum alloys : the choice of boundary conditions
Presented at the COMSOL Conference 2008 Boston COMSOL Conference BOSTON November 9-11 2008 Towards the modelng of mcrogalvanc couplng n alumnum alloys : the choce of boundary condtons Ncolas Murer *1,
More informationFlow equations To simulate the flow, the Navier-Stokes system that includes continuity and momentum equations is solved
Smulaton of nose generaton and propagaton caused by the turbulent flow around bluff bodes Zamotn Krll e-mal: krart@gmal.com, cq: 958886 Summary Accurate predctons of nose generaton and spread n turbulent
More informationComparison of Regression Lines
STATGRAPHICS Rev. 9/13/2013 Comparson of Regresson Lnes Summary... 1 Data Input... 3 Analyss Summary... 4 Plot of Ftted Model... 6 Condtonal Sums of Squares... 6 Analyss Optons... 7 Forecasts... 8 Confdence
More informationThe optimal delay of the second test is therefore approximately 210 hours earlier than =2.
THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple
More informationA 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 informationFrequency Response Optimization of Dual Depletion InGaAs/InP PIN Photodiodes
PHOTONIC SENSORS / Vol. 6, No. 1, 216: 63 7 Frequency Response Optmzaton of Dual Depleton InGaAs/InP PIN Photododes J. M. Torres PEREIRA and João Paulo N. TORRES * Insttuto de Telecomuncações, Insttuto
More informationSTUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES
STUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES Abdelkader Benchou, PhD Canddate Nasreddne Benmoussa, PhD Kherreddne Ghaffour, PhD Unversty of Tlemcen/Unt of Materals
More informationV. Electrostatics. Lecture 25: Diffuse double layer structure
V. Electrostatcs Lecture 5: Dffuse double layer structure MIT Student Last tme we showed that whenever λ D L the electrolyte has a quas-neutral bulk (or outer ) regon at the geometrcal scale L, where there
More informationProf. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model
EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several
More informationONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00
ONE IMENSIONAL TRIANGULAR FIN EXPERIMENT Techncal Advsor: r..c. Look, Jr. Verson: /3/ 7. GENERAL OJECTIVES a) To understand a one-dmensonal epermental appromaton. b) To understand the art of epermental
More informationThis chapter illustrates the idea that all properties of the homogeneous electron gas (HEG) can be calculated from electron density.
1 Unform Electron Gas Ths chapter llustrates the dea that all propertes of the homogeneous electron gas (HEG) can be calculated from electron densty. Intutve Representaton of Densty Electron densty n s
More informationSuppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl
RECURSIVE SPLINE INTERPOLATION METHOD FOR REAL TIME ENGINE CONTROL APPLICATIONS A. Stotsky Volvo Car Corporaton Engne Desgn and Development Dept. 97542, HA1N, SE- 405 31 Gothenburg Sweden. Emal: astotsky@volvocars.com
More informationSupplementary Notes for Chapter 9 Mixture Thermodynamics
Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects
More information