MATHCAD A TOOL FOR NUMERICAL CALCULATION OF SQUARE-WAVE VOLTAMMOGRAMS

Size: px
Start display at page:

Download "MATHCAD A TOOL FOR NUMERICAL CALCULATION OF SQUARE-WAVE VOLTAMMOGRAMS"

Transcription

1 Bullein of he Chemiss and Technologiss of Macedonia, Vol. 8, No., pp (999) GHTMDD 328 ISSN Received: November 6, 998 UDC: : Acceped: March 9, 999 Professional paper MATHCAD A TOOL FOR NUMERICAL CALCULATION OF SQUARE-WAVE VOLTAMMOGRAMS Insiue of Chemisry, Faculy of Sciences and Mahemaics, The Sv. Kiril & Meodij Universiy, POB 62, 9000 Skopje, Republic of Macedonia An alernaive approach for numerical calculaion of he square-wave volammograms using he mahemaical programming package MATHCAD is presened. A quasi-reversible redox reacion is considered and a mahemaical model is developed under condiions of he square-wave volammery (SWV). Applicaion of he mahemaical model in MATHCAD is discussed and he file used for numerical simulaion is presened. The relaionships beween he properies of he SW response and he parameers of boh he quasireversible redox reacion and he exciaion signal are discussed. Key words: MATHCAD; square-wave volammograms; numerical calculaion INTRODUCTION Numerical simulaion of he volammeric response of paricular volammeric echnique is a common approach in he developmen of he volammeric mehod's heory. Sudying he numerically simulaed daa one can predic he behavior of he volameric experimen. Moreover, comparing and fiing he experimenal and heoreical daa, imporan kineic parameers of he invesigaed redox sysem, such as he sandard rae consan k s and he coefficien of elecron ransfer α, can be esimaed. For all hese reasons, a large number of scienific papers are dedicaed o his imporan subjec [l]. Addiionally, numerous specialized programming packages for simulaion of he volammeric response of various echniques are already available on he marke. I is, however, sill of ineres o develop simple and flexible mehods for calculaion of he heoreical response of various volammeric echniques. Nowadays, mos chemiss are familiar wih he general purpose muliasking programming packages such as EXCEL, QPRO, LO- TUS, MATHCAD, ec. Therefore, i is very useful o find a way for calculaion of he volammeric responses using hese programming packages. In his paper an alernaive approach for calculaion of he square-wave volammeric response of a quasi-reversible redox reacion, using he programming package MATHCAD, is presened. MATHCAD is one of he bes general purpose mahemaical programming packages [2]. The program is user-friendly, fas and precise. I should be emphasized ha he program provides various numerical mehods which are necessary for developmen of volammeric mehod's heory. As was menioned previously, he volammeric curves are numerically simulaed under condiions of he square-wave volammery, which is one of he mos advanced elecroanalyical echniques [3]. The square-wave volammery is a complex, muli-sep chronoamperomeric mehod. The exciaion signal used in SW volammery is a rain of cahodic and anodic pulses superposed on a saircase poenial ramp (see Fig. a). One poenial cycle in he SWV is presened in he Fig. b. The parameers of he signal are: he square-wave frequency f, which is he inverse value of he duraion of he poenial cycle f = /τ (see Fig. b), he SW ampliude E sw, which is he half of he peak-o-peak heigh, and he scan incremen de, which is he sep of he saircase ramp. The curren is measured a he end of each poenial pulse. All he currens measured a he end

2 58 V. Mireski, R. Gulaboski and I. Kuzmanovski of he cahodic pulses creae he forward (cahodic) componen Ψ f, while he currens measured a he end of he anodic pulses, creae he backward (anodic) componen Ψ b of he SW response (see Fig. c). The ne-response Ψ ne is calculaed as a difference beween he wo successive cahodic and anodic currens: Ψ ne = Ψ f Ψ b. τ τ /2 de i f E sw E /V E s /s i b (a) (b) (c) Fig.. (a) The scheme of he exciaion signal used in he square-wave volammery. (b) One poenial cycle in he squarewave volammery. (c) A ypical square-wave dimensionless volammeric response for a reversible redox reacion. E s he saring poenial; E sw he SW ampliude; de he scan incremen; τ he duraion of one poenial cycle; i f and i b he forward and he reverse real currens; Ψ f, Ψ b, Ψ ne he forward, he backward and he ne dimensionless componens of he SW response. Bull. Chem. Technol. Macedonia, 8,, (999)

3 MATHCAD a ool for numerical calculaion of square-wave volammograms 59 MATHEMATICAL MODEL A quasireversible redox reacion of wo chemically sable species is considered: Ox + ne = Red I is assumed ha he mass ranspor occurs hrough planar, saionary, and semi-infinie diffusion model. The redox reacion (I) is described mahemaically wih he following se of differenial equaions: (I) δc Ox /δ = D(δ 2 c Ox /δx 2 ) () δc Red /δ = D(δ 2 c Red /δx 2 ) (2) For he meaning of he symbols and abbreviaions see he Table I. For simpliciy, he diffusion coefficiens of boh species Ox and Red are supposed o be equal. A he very beginning of he experimen, only he Ox form of he redox couple is presen in he elecrolye soluion. Hence, he above differenial equaions are solved wih he following iniial and boundary condiions: = 0: c Ox = c* Ox ; c Red = 0 (a) > 0, x : c Ox c* Ox ; c Red 0 (b) > 0, x = 0: D(δc Ox /δx) x=0 = D(δc Red /δx) x=0 = i/(nfs) (c) Since he redox reacion is parly conrolled by he charge ransfer rae, a he elecrode surface, he following condiion is valid: i/(nfs) = k s exp( αφ) [(c Ox ) x=0 (c Red ) x=0 exp(φ)] (3) where φ is dimensionless relaive elecrode poenial: φ = (nf)(e E 0 Ox/Red)/(RT). The soluions which relae he concenraions of boh species Ox and Red a he elecrode surface wih he curren, were obained applying Laplace ransforms: T a b l e I Ox Red c Ox c Red Lis of symbols and abbreviaions oxidized form of elecroacive species reduced form of elecroacive species concenraion of Ox species anywhere in he soluion concenraion of Red species anywhere in he soluion c* Ox concenraion of Ox species in he bulk of he soluion (c Ox ) x=0 concenraion of Ox species a he elecrode surface (c Red ) x=0 concenraion of Red species a he elecrode surface x i n F S k s α T R E E 0 D Ψ Ψ j Ψ f Ψ b Ψ ne K f E sw de E ime disance from he elecrode curren number of elecrons Faraday consan elecrode surface area sandard kineic rae consan of he redox reacion coefficien of elecron ransfer hermodynamic emperaure universal gas consan elecrode poenial sandard redox poenial of he Ox/Red couple diffusion coefficien dimensionless curren a he very firs ime incremen dimensionless curren a he j-h ime incremen dimensionless forward curren dimensionless backward curren dimensionless ne curren dimensionless kineic parameer SW frequency SW ampliude scan incremen poenial inerval E s saring poenial vs. E 0 * i ( cox ) x= 0 = cox ( τ ) dτ (4) π n F S D 0 2

4 60 V. Mireski, R. Gulaboski and I. Kuzmanovski i ( c d x= = 2 Re ) 0 ( τ ) dτ π 0 n F S D (5) A combinaion of he eqs. (3) (5) gives he following inegral equaion: i n F S α φ * i i = k s e cox 2 φ ( τ ) dτ e ( τ ) 2 dτ 0 n F S D π 0 n F S D π (6) The above inegral equaion relaes he curren wih ime a a cerain poenial. The soluion of he las inegral equaion under condiions of he SW volammery was obained by he numerical mehod of Nicholson and Olmsead [l]. Boh he ime variable and dimensionless curren Ψ = i(nfsc* Ox ) (fd) /2 are discreized. To each = jd, where d is he ime incremen, a cerain Ψ j can be ascribed. The numerical soluion is represened wih he following recursive formulae: α φ K e Ψ = + 2 K (50 π ) 2 φ ( α φ + e ) e (7) Ψ j = K e α φ j 2 (50 π ) 2 + e + 2 K (50 π ) 2 + e φ j φ j j Ψi S ji+ i= α φ j e (8) where S =, S k = (k) /2 (k ) /2 while K = k s / (fd) /2 is dimensionless kineic parameer. For his calculaion, he ime incremen d = (50f ) was used, which means ha each SW half-period τ/2 (see Fig. b) was divided in 25 incremens. SOLVING THE MATHEMATICAL MODEL USING THE PROGRAMMING PACKAGE MATHCAD The MATHCAD file used for calculaion of he dimensionless SW volammograms is given in he Fig 2. A he very beginning of he file, all he consan parameers which are needed for numerical calculaions, are defined. For numerical inegraion, he enire ime of he SW exciaion signal is divided in he finie number of ime incremens. In he previous chaper, i was menioned ha he ime incremen d is relaed o he SW frequency hrough he formula d = (50f ). I means ha each poenial cycle in he SW volammery is divided in 50 incremens. The number of he poenial cycles depends on he poenial inerval E and he scan incremen de. The oal number of he poenial cycles is equal o he raio E/dE. Therefore, he oal number of he ime incremens is ( E/dE) 50, while he ordinary number of each ime incremen is ranged wihin he inerval of o ( E/dE) 50 (see equaion (I) in Fig. 2). Bull. Chem. Technol. Macedonia, 8,, (999)

5 MATHCAD a ool for numerical calculaion of square-wave volammograms 6 Fig. 2. The MATHCAD file creaed for numerical simulaion of he SW volammograms of a quasi-reversible redox reacion

6 62 V. Mireski, R. Gulaboski and I. Kuzmanovski Creaing he file, a crucial sep is developmen of a funcion which simulaes he poenial waveform used in he SW volammery. MATHCAD has a daabase of various mahemaical funcions, however, neiher of hem resembles he shape of he SW exciaion signal. Neverheless, he problem can be solved if he mahemaical sep funcion is appropriaely combined wih he logical if funcion. The new funcion, called poenial, is defined by he eq. (II) in he Fig. 2 and is of exacly he same form as he SW exciaion signal (see he Plo in he Fig. 2). This funcion represens he relaive elecrode poenial applied o he working elecrode under condiions of he SW volammery. Using his funcion, one can readily defines he dimensionless poenial used for numerical calculaions φ = nf(e E 0 )/(RT). The calculaion of he dimensionless response under condiions of he SW volammeric experimen was carried ou by he recursive formulae (IV) and (V) in he Fig. 2. The eq. (V) calculaes he dimensionless curren Ψ k a each poenial pulse applied o he working elecrode. Above hese formulae, he S k facor needed for numerical inegraion is defined. Afer processing of he formulae (IV) and (V), a new plo is creaed (see Plo 2 in he Fig.) which shows he variaion of he curren wih ime a each SW poenial pulse. As i was menioned previously, according o he curren-sampling procedure used in he SW vol- ammery, only he curren obained a he end of a single poenial pulse is measured. The reason is o discriminae he capaciive curren during he measuremen and o increase he sensiiviy of he echnique [3]. Hence, all he currens measured a he end of all he cahodic pulses creae he forward branch Ψ f of he SW volammogram. The backward branch Ψ b conains he currens measured a he end of each anodic pulse. The ne curren Ψ ne is defined as a difference beween he forward and backward curren. Therefore, one needs o selec only he currens obained a he end of he each SW pulse. This can be done wih he se of formulae from (VI) o (VIII) given in he Fig. 2. Finally i should be noed, ha in he SW volammery, he curren daa are ploed versus he poenial values of he saircase ramp. The las formulae of he file (IX) defines he poenial of he saircase ramp. Plo 3 in he Fig. 2 represens he numerically calculaed SW volammeric response of he quasireversible redox reacion. The processing ime for calculaion of a single SW volammogram depends on he performance of he used processor, poenial inerval and he scan incremen. Wih he processor PC 486DX2/66 MHz wih 8 MB RAM memory, poenial inerval E = 0.3 V and scan incremen is de = 5 mv, processing ime akes abou 5 min. The processing ime can be markedly decreased wih increase of he scan incremen. DISCUSSION OF THE NUMERICALLY CALCULATED DATA The MATHCAD file was uilized for numerical simulaion of abou hundred SW volammograms, in order o invesigae he relaionships beween he properies of he response and he parameers of boh he redox reacion and he exciaion signal. As can be seen from he Plo 3 in he Fig. 2, he SW volammograms are curren-poenial bellshaped curves characerized wih he dimensionless peak curren Ψ p, he peak poenial E p and he half-widh of he peak E p/2. The number of poins consiuing a single volammogram depends on he scan incremen de. The poin wih he highes curren value deerminaes he peak curren Ψ p, while is posiion a he poenial axis defines he peak poenial E p. The widh of he peak a is half heigh, expressed in Vols, is called he half-widh of he peak E p/2. According o he eq. (8), he dimensionless SW response of he quasi-reversible redox reacion (I) is mainly dependen on he kineic parameer K and he elecron ransfer coefficien α. The apparen reversibiliy of he redox reacion enirely depends on he kineic parameer K = k s / (Df) /2. The influence of his parameer o he dimensionless peak curren is presened in he Fig. 3. If he redox reacion appears eiher irreversible (logk.5), or reversible (logk 0.75), he dimensionless peak curren does no depend on he kineic parameer (see Fig. 3). Wihin he region logk 0.3 he redox reacion appears quasi-reversible, and he dimensionless peak curren depends linearly on he kineic parameer K. The slope of his linear porion is deerminaed by he paricular value of he ransfer coefficien α (see Fig. 3). Bull. Chem. Technol. Macedonia, 8,, (999)

7 MATHCAD a ool for numerical calculaion of square-wave volammograms 63 slighly wih he increase of he SW ampliude. I is imporan o noe ha he raio Ψ p / E p/2 reaches he maximum value for E sw = 90 mv, which means ha his ampliude is he mos suiable for analyical purposes. Fig. 3. The effec of he kineic parameer K on he dimensionless SW peak currens for divers values of he ransfer coefficien α. The condiions of he simulaion were: E sw = 0,025 V; de = 0,005 V; T = K; α = 0.3 (); 0.5 (2) and 0.7 (3) The posiion of he SW peak is also sensiive o he kineic parameer K. The relaionship beween he peak poenials E p and he logarihm of he kineic parameer K, for differen values of he ransfer coefficien α, is presened in he Fig. 4. If he redox reacion is close o he reversible region (logk 0.5), he peak poenial becomes almos independen on he kineic parameer. Only wihin he irreversible region, he peak poenial depends linearly on he logarihm of K. The slope of he linear porion is dependen on he ransfer coefficien α and i is defined by he following equaion: E p / logk = 2,303 RT/(αnF). Therefore, if he irreversibiliy of he redox reacion was reached experimenally, his equaion could be uilized for an esimaion of he ransfer coefficien. The half-widh of he SW peak gradually changes wih he aleraion of he kineic parameer K. If he redox reacion appears irreversible, he half-widh of is SW peak is solely deermined by he ransfer coefficien α, hrough he equaion: E p/2 = (90 ± 2)/(αn) mv. Wihin he quasireversible region, he half-widh of he peak decreases proporionally wih increase of he kineic parameer K, reaching a consan value for he reversible redox reacion. If he SW ampliude was E sw = 50 mv, he half-widh of he peak for reversible redox reacion is E p/2 = 25 mv. Numerical simulaions shown ha he SW peak curren depends linearly on he SW ampliude (see Fig. 5). The peak poenial remained virually unchanged wih he variaion of he ampliude from 2 o 00 mv. The half-widh of he peak enhances Fig. 4. The effec of he kineic parameer K on he SW peak poenials for divers values of he ransfer coefficien α. The condiions of he simulaion were: E sw = V; de = V; T = K; α = 0.4 (); 0.5 (2) and 0.7 (3) Fig. 5. The dependence of he peak currens on he SW ampliude. The condiions of he simulaions were: logk = 0.5; α = 0.5; de = 5 mv; T = K When paricular redox reacion is invesigaed experimenally, he variaion of he kineic parameer K, which is defined as K = k s /(Df) /2, can be aained by an aleraion of he frequency f of he exciaion signal. Therefore, he effec of he SW frequency on he SW response can be undersood hrough he previously discussed effec of he kineic parameer K.

8 64 V. Mireski, R. Gulaboski and I. Kuzmanovski CONCLUSION In his paper i is demonsraed ha he MATHCAD programming package can be successfully used as a ool for numerical calculaion of he square-wave volammograms. I is shown ha his program can easily generae a complex funcion which possesses exacly he same shape as he SW exciaion signal. The presened MATHCAD file reflecs he simpliciy in which one can communicae wih he program. Sudying he numerically simulaed volammograms one can undersand he behavior of he volammeric experimen and realize he relaionships beween he properies of he invesigaed redox reacion and he feaures of he volammeric response. REFERENCES [] ELECTROCHEMISTRY, Calculaions, Simulaion, and Insrumenaion, eds. James S. Mason, Harry B. Mark, Jr., and Huber C. MacDonald, Jr. Marcel Dekker Inc., New York 972. [2] MATCAD 3.0, User s Guide, MahSof Inc., 20 Broadway, Cambridge, Massachuses, 0239 USA. [3] J. G. Oseryoung and R. A. Oseryoung, Anal.Chem., 57, 0 A (985). MATHCAD!"#"#$ %$"&'$(!"##$% "&#$$()MATHCAD!" # $ %& ' %$ % $ (!" # & %& # & MATH- CAD %! "! ) $! " *$ % + % " & & # & MATHCAD' &! + &,! $ ())#$ % $ ( # ' $% -$) &.$&!!" %! &! ) &! ))# Bull. Chem. Technol. Macedonia, 8,, (999)

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

RC, RL and RLC circuits

RC, RL and RLC circuits Name Dae Time o Complee h m Parner Course/ Secion / Grade RC, RL and RLC circuis Inroducion In his experimen we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors.

More information

A Theoretical and Experimental Study of a Two-step Quasireversible Surface Redox Reaction by Square-wave Voltammetry

A Theoretical and Experimental Study of a Two-step Quasireversible Surface Redox Reaction by Square-wave Voltammetry CROATICA CHEMICA ACTA CCACAA 76 () 37 48 (3) ISSN--643 CCA-85 Original Scienific Paper A Theoreical and Experimenal Sudy of a Two-sep Quasireversible Surface Redox Reacion by Square-wave Volammery Valenin

More information

Sub Module 2.6. Measurement of transient temperature

Sub Module 2.6. Measurement of transient temperature Mechanical Measuremens Prof. S.P.Venkaeshan Sub Module 2.6 Measuremen of ransien emperaure Many processes of engineering relevance involve variaions wih respec o ime. The sysem properies like emperaure,

More information

Selective peracetic acid determination in the presence of hydrogen peroxide using the molecular absorption properties of catalase

Selective peracetic acid determination in the presence of hydrogen peroxide using the molecular absorption properties of catalase Analyical and Bioanalyical Chemisry Elecronic Supplemenary Maerial Selecive peraceic acid deerminaion in he presence of hydrogen peroxide using he molecular absorpion properies of caalase Javier Galbán,

More information

Lab 10: RC, RL, and RLC Circuits

Lab 10: RC, RL, and RLC Circuits Lab 10: RC, RL, and RLC Circuis In his experimen, we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors. We will sudy he way volages and currens change in

More information

Chapter 15: Phenomena. Chapter 15 Chemical Kinetics. Reaction Rates. Reaction Rates R P. Reaction Rates. Rate Laws

Chapter 15: Phenomena. Chapter 15 Chemical Kinetics. Reaction Rates. Reaction Rates R P. Reaction Rates. Rate Laws Chaper 5: Phenomena Phenomena: The reacion (aq) + B(aq) C(aq) was sudied a wo differen emperaures (98 K and 35 K). For each emperaure he reacion was sared by puing differen concenraions of he 3 species

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

Structural Dynamics and Earthquake Engineering

Structural Dynamics and Earthquake Engineering Srucural Dynamics and Earhquae Engineering Course 1 Inroducion. Single degree of freedom sysems: Equaions of moion, problem saemen, soluion mehods. Course noes are available for download a hp://www.c.up.ro/users/aurelsraan/

More information

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi Creep in Viscoelasic Subsances Numerical mehods o calculae he coefficiens of he Prony equaion using creep es daa and Herediary Inegrals Mehod Navnee Saini, Mayank Goyal, Vishal Bansal (23); Term Projec

More information

Multi-Frequency Sheath Dynamics

Multi-Frequency Sheath Dynamics Muli-Frequency Sheah Dynamics Seven Shannon, Alex Paerson, Theodoros Panagopoulos, Daniel Hoffman, John Holland, Dennis Grimard (Universiy of Michigan) Purpose of research RF plasmas wih muliple frequency

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors Applicaion Noe Swiching losses for Phase Conrol and Bi- Direcionally Conrolled Thyrisors V AK () I T () Causing W on I TRM V AK( full area) () 1 Axial urn-on Plasma spread 2 Swiching losses for Phase Conrol

More information

CHAPTER 2 Signals And Spectra

CHAPTER 2 Signals And Spectra CHAPER Signals And Specra Properies of Signals and Noise In communicaion sysems he received waveform is usually caegorized ino he desired par conaining he informaion, and he undesired par. he desired par

More information

CHEMICAL KINETICS: 1. Rate Order Rate law Rate constant Half-life Temperature Dependence

CHEMICAL KINETICS: 1. Rate Order Rate law Rate constant Half-life Temperature Dependence CHEMICL KINETICS: Rae Order Rae law Rae consan Half-life Temperaure Dependence Chemical Reacions Kineics Chemical ineics is he sudy of ime dependence of he change in he concenraion of reacans and producs.

More information

04. Kinetics of a second order reaction

04. Kinetics of a second order reaction 4. Kineics of a second order reacion Imporan conceps Reacion rae, reacion exen, reacion rae equaion, order of a reacion, firs-order reacions, second-order reacions, differenial and inegraed rae laws, Arrhenius

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Version April 30, 2004.Submied o CTU Repors. EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Per Krysl Universiy of California, San Diego La Jolla, California 92093-0085,

More information

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18 A Firs ourse on Kineics and Reacion Engineering lass 19 on Uni 18 Par I - hemical Reacions Par II - hemical Reacion Kineics Where We re Going Par III - hemical Reacion Engineering A. Ideal Reacors B. Perfecly

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

( ) = b n ( t) n " (2.111) or a system with many states to be considered, solving these equations isn t. = k U I ( t,t 0 )! ( t 0 ) (2.

( ) = b n ( t) n  (2.111) or a system with many states to be considered, solving these equations isn t. = k U I ( t,t 0 )! ( t 0 ) (2. Andrei Tokmakoff, MIT Deparmen of Chemisry, 3/14/007-6.4 PERTURBATION THEORY Given a Hamilonian H = H 0 + V where we know he eigenkes for H 0 : H 0 n = E n n, we can calculae he evoluion of he wavefuncion

More information

CHAPTER 6: FIRST-ORDER CIRCUITS

CHAPTER 6: FIRST-ORDER CIRCUITS EEE5: CI CUI T THEOY CHAPTE 6: FIST-ODE CICUITS 6. Inroducion This chaper considers L and C circuis. Applying he Kirshoff s law o C and L circuis produces differenial equaions. The differenial equaions

More information

6.2 Transforms of Derivatives and Integrals.

6.2 Transforms of Derivatives and Integrals. SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.

More information

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires

More information

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits EEE25 ircui Analysis I Se 4: apaciors, Inducors, and Firs-Order inear ircuis Shahriar Mirabbasi Deparmen of Elecrical and ompuer Engineering Universiy of Briish olumbia shahriar@ece.ubc.ca Overview Passive

More information

A Note on the Equivalence of Fractional Relaxation Equations to Differential Equations with Varying Coefficients

A Note on the Equivalence of Fractional Relaxation Equations to Differential Equations with Varying Coefficients mahemaics Aricle A Noe on he Equivalence of Fracional Relaxaion Equaions o Differenial Equaions wih Varying Coefficiens Francesco Mainardi Deparmen of Physics and Asronomy, Universiy of Bologna, and he

More information

Chapter 7 Response of First-order RL and RC Circuits

Chapter 7 Response of First-order RL and RC Circuits Chaper 7 Response of Firs-order RL and RC Circuis 7.- The Naural Response of RL and RC Circuis 7.3 The Sep Response of RL and RC Circuis 7.4 A General Soluion for Sep and Naural Responses 7.5 Sequenial

More information

Chapter 13 Homework Answers

Chapter 13 Homework Answers Chaper 3 Homework Answers 3.. The answer is c, doubling he [C] o while keeping he [A] o and [B] o consan. 3.2. a. Since he graph is no linear, here is no way o deermine he reacion order by inspecion. A

More information

Sterilization D Values

Sterilization D Values Seriliaion D Values Seriliaion by seam consis of he simple observaion ha baceria die over ime during exposure o hea. They do no all live for a finie period of hea exposure and hen suddenly die a once,

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

ψ ( t) = c n ( t) t n ( )ψ( ) t ku t,t 0 ψ I V kn

ψ ( t) = c n ( t) t n ( )ψ( ) t ku t,t 0 ψ I V kn MIT Deparmen of Chemisry 5.74, Spring 4: Inroducory Quanum Mechanics II p. 33 Insrucor: Prof. Andrei Tokmakoff PERTURBATION THEORY Given a Hamilonian H ( ) = H + V ( ) where we know he eigenkes for H H

More information

Echocardiography Project and Finite Fourier Series

Echocardiography Project and Finite Fourier Series Echocardiography Projec and Finie Fourier Series 1 U M An echocardiagram is a plo of how a porion of he hear moves as he funcion of ime over he one or more hearbea cycles If he hearbea repeas iself every

More information

CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang

CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS Professor Dae Ryook Yang Spring 208 Dep. of Chemical and Biological Engineering CHBE320 Process Dynamics and Conrol 4- Road Map of he Lecure

More information

5.2. The Natural Logarithm. Solution

5.2. The Natural Logarithm. Solution 5.2 The Naural Logarihm The number e is an irraional number, similar in naure o π. Is non-erminaing, non-repeaing value is e 2.718 281 828 59. Like π, e also occurs frequenly in naural phenomena. In fac,

More information

Unsteady Mass- Transfer Models

Unsteady Mass- Transfer Models See T&K Chaper 9 Unseady Mass- Transfer Models ChEn 6603 Wednesday, April 4, Ouline Conex for he discussion Soluion for ransien binary diffusion wih consan c, N. Soluion for mulicomponen diffusion wih

More information

CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang

CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS Professor Dae Ryook Yang Fall 200 Dep. of Chemical and Biological Engineering Korea Universiy CHE302 Process Dynamics and Conrol Korea Universiy

More information

SPH3U: Projectiles. Recorder: Manager: Speaker:

SPH3U: Projectiles. Recorder: Manager: Speaker: SPH3U: Projeciles Now i s ime o use our new skills o analyze he moion of a golf ball ha was ossed hrough he air. Le s find ou wha is special abou he moion of a projecile. Recorder: Manager: Speaker: 0

More information

Stochastic Model for Cancer Cell Growth through Single Forward Mutation

Stochastic Model for Cancer Cell Growth through Single Forward Mutation Journal of Modern Applied Saisical Mehods Volume 16 Issue 1 Aricle 31 5-1-2017 Sochasic Model for Cancer Cell Growh hrough Single Forward Muaion Jayabharahiraj Jayabalan Pondicherry Universiy, jayabharahi8@gmail.com

More information

Advanced Organic Chemistry

Advanced Organic Chemistry Lalic, G. Chem 53A Chemisry 53A Advanced Organic Chemisry Lecure noes 1 Kineics: A racical Approach Simple Kineics Scenarios Fiing Experimenal Daa Using Kineics o Deermine he Mechanism Doughery, D. A.,

More information

Failure of the work-hamiltonian connection for free energy calculations. Abstract

Failure of the work-hamiltonian connection for free energy calculations. Abstract Failure of he work-hamilonian connecion for free energy calculaions Jose M. G. Vilar 1 and J. Miguel Rubi 1 Compuaional Biology Program, Memorial Sloan-Keering Cancer Cener, 175 York Avenue, New York,

More information

Dynamic Analysis of Damped Driven Pendulum using Laplace Transform Method

Dynamic Analysis of Damped Driven Pendulum using Laplace Transform Method , ISSN 0974-570X (Online), ISSN 0974-578 (Prin), Vol. 6; Issue No. 3; Year 05, Copyrigh 05 by CESER PUBLICATIONS Dynamic Analysis of Damped Driven Pendulum using Laplace Transform Mehod M.C. Agarana and

More information

L1, L2, N1 N2. + Vout. C out. Figure 2.1.1: Flyback converter

L1, L2, N1 N2. + Vout. C out. Figure 2.1.1: Flyback converter page 11 Flyback converer The Flyback converer belongs o he primary swiched converer family, which means here is isolaion beween in and oupu. Flyback converers are used in nearly all mains supplied elecronic

More information

Nature Neuroscience: doi: /nn Supplementary Figure 1. Spike-count autocorrelations in time.

Nature Neuroscience: doi: /nn Supplementary Figure 1. Spike-count autocorrelations in time. Supplemenary Figure 1 Spike-coun auocorrelaions in ime. Normalized auocorrelaion marices are shown for each area in a daase. The marix shows he mean correlaion of he spike coun in each ime bin wih he spike

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

8. Basic RL and RC Circuits

8. Basic RL and RC Circuits 8. Basic L and C Circuis This chaper deals wih he soluions of he responses of L and C circuis The analysis of C and L circuis leads o a linear differenial equaion This chaper covers he following opics

More information

1 Evaluating Chromatograms

1 Evaluating Chromatograms 3 1 Evaluaing Chromaograms Hans-Joachim Kuss and Daniel Sauffer Chromaography is, in principle, a diluion process. In HPLC analysis, on dissolving he subsances o be analyzed in an eluen and hen injecing

More information

HW6: MRI Imaging Pulse Sequences (7 Problems for 100 pts)

HW6: MRI Imaging Pulse Sequences (7 Problems for 100 pts) HW6: MRI Imaging Pulse Sequences (7 Problems for 100 ps) GOAL The overall goal of HW6 is o beer undersand pulse sequences for MRI image reconsrucion. OBJECTIVES 1) Design a spin echo pulse sequence o image

More information

not to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling?

not to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling? 256 MATHEMATICS A.2.1 Inroducion In class XI, we have learn abou mahemaical modelling as an aemp o sudy some par (or form) of some real-life problems in mahemaical erms, i.e., he conversion of a physical

More information

LabQuest 24. Capacitors

LabQuest 24. Capacitors Capaciors LabQues 24 The charge q on a capacior s plae is proporional o he poenial difference V across he capacior. We express his wih q V = C where C is a proporionaliy consan known as he capaciance.

More information

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution Physics 7b: Saisical Mechanics Fokker-Planck Equaion The Langevin equaion approach o he evoluion of he velociy disribuion for he Brownian paricle migh leave you uncomforable. A more formal reamen of his

More information

Multi-scale 2D acoustic full waveform inversion with high frequency impulsive source

Multi-scale 2D acoustic full waveform inversion with high frequency impulsive source Muli-scale D acousic full waveform inversion wih high frequency impulsive source Vladimir N Zubov*, Universiy of Calgary, Calgary AB vzubov@ucalgaryca and Michael P Lamoureux, Universiy of Calgary, Calgary

More information

1 Differential Equation Investigations using Customizable

1 Differential Equation Investigations using Customizable Differenial Equaion Invesigaions using Cusomizable Mahles Rober Decker The Universiy of Harford Absrac. The auhor has developed some plaform independen, freely available, ineracive programs (mahles) for

More information

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles Diebold, Chaper 7 Francis X. Diebold, Elemens of Forecasing, 4h Ediion (Mason, Ohio: Cengage Learning, 006). Chaper 7. Characerizing Cycles Afer compleing his reading you should be able o: Define covariance

More information

Air Traffic Forecast Empirical Research Based on the MCMC Method

Air Traffic Forecast Empirical Research Based on the MCMC Method Compuer and Informaion Science; Vol. 5, No. 5; 0 ISSN 93-8989 E-ISSN 93-8997 Published by Canadian Cener of Science and Educaion Air Traffic Forecas Empirical Research Based on he MCMC Mehod Jian-bo Wang,

More information

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Kriging Models Predicing Arazine Concenraions in Surface Waer Draining Agriculural Waersheds Paul L. Mosquin, Jeremy Aldworh, Wenlin Chen Supplemenal Maerial Number

More information

The Contradiction within Equations of Motion with Constant Acceleration

The Contradiction within Equations of Motion with Constant Acceleration The Conradicion wihin Equaions of Moion wih Consan Acceleraion Louai Hassan Elzein Basheir (Daed: July 7, 0 This paper is prepared o demonsrae he violaion of rules of mahemaics in he algebraic derivaion

More information

Lab #2: Kinematics in 1-Dimension

Lab #2: Kinematics in 1-Dimension Reading Assignmen: Chaper 2, Secions 2-1 hrough 2-8 Lab #2: Kinemaics in 1-Dimension Inroducion: The sudy of moion is broken ino wo main areas of sudy kinemaics and dynamics. Kinemaics is he descripion

More information

AP Chemistry--Chapter 12: Chemical Kinetics

AP Chemistry--Chapter 12: Chemical Kinetics AP Chemisry--Chaper 12: Chemical Kineics I. Reacion Raes A. The area of chemisry ha deals wih reacion raes, or how fas a reacion occurs, is called chemical kineics. B. The rae of reacion depends on he

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

METHOD OF CHARACTERISTICS AND GLUON DISTRIBUTION FUNCTION

METHOD OF CHARACTERISTICS AND GLUON DISTRIBUTION FUNCTION METHOD OF CHARACTERISTICS AND GLUON DISTRIBUTION FUNCTION Saiful Islam and D. K. Choudhury Dep. Of Physics Gauhai Universiy, Guwahai, Assam, India. Email : saiful.66@rediffmail.com ; dkc_phys@yahoo.co.in

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se # Wha are Coninuous-Time Signals??? /6 Coninuous-Time Signal Coninuous Time (C-T) Signal: A C-T signal is defined on he coninuum of ime values. Tha is:

More information

Article from. Predictive Analytics and Futurism. July 2016 Issue 13

Article from. Predictive Analytics and Futurism. July 2016 Issue 13 Aricle from Predicive Analyics and Fuurism July 6 Issue An Inroducion o Incremenal Learning By Qiang Wu and Dave Snell Machine learning provides useful ools for predicive analyics The ypical machine learning

More information

Mechanical Fatigue and Load-Induced Aging of Loudspeaker Suspension. Wolfgang Klippel,

Mechanical Fatigue and Load-Induced Aging of Loudspeaker Suspension. Wolfgang Klippel, Mechanical Faigue and Load-Induced Aging of Loudspeaker Suspension Wolfgang Klippel, Insiue of Acousics and Speech Communicaion Dresden Universiy of Technology presened a he ALMA Symposium 2012, Las Vegas

More information

Time series Decomposition method

Time series Decomposition method Time series Decomposiion mehod A ime series is described using a mulifacor model such as = f (rend, cyclical, seasonal, error) = f (T, C, S, e) Long- Iner-mediaed Seasonal Irregular erm erm effec, effec,

More information

THE DISCRETE WAVELET TRANSFORM

THE DISCRETE WAVELET TRANSFORM . 4 THE DISCRETE WAVELET TRANSFORM 4 1 Chaper 4: THE DISCRETE WAVELET TRANSFORM 4 2 4.1 INTRODUCTION TO DISCRETE WAVELET THEORY The bes way o inroduce waveles is hrough heir comparison o Fourier ransforms,

More information

At the end of this lesson, the students should be able to understand

At the end of this lesson, the students should be able to understand Insrucional Objecives A he end of his lesson, he sudens should be able o undersand Sress concenraion and he facors responsible. Deerminaion of sress concenraion facor; experimenal and heoreical mehods.

More information

Chapter 12: Velocity, acceleration, and forces

Chapter 12: Velocity, acceleration, and forces To Feel a Force Chaper Spring, Chaper : A. Saes of moion For moion on or near he surface of he earh, i is naural o measure moion wih respec o objecs fixed o he earh. The 4 hr. roaion of he earh has a measurable

More information

ψ ( t) = c n ( t ) n

ψ ( t) = c n ( t ) n p. 31 PERTURBATION THEORY Given a Hamilonian H ( ) = H + V( ) where we know he eigenkes for H H n = En n we ofen wan o calculae changes in he ampliudes of n induced by V( ) : where ψ ( ) = c n ( ) n n

More information

) were both constant and we brought them from under the integral.

) were both constant and we brought them from under the integral. YIELD-PER-RECRUIT (coninued The yield-per-recrui model applies o a cohor, bu we saw in he Age Disribuions lecure ha he properies of a cohor do no apply in general o a collecion of cohors, which is wha

More information

Recursive Least-Squares Fixed-Interval Smoother Using Covariance Information based on Innovation Approach in Linear Continuous Stochastic Systems

Recursive Least-Squares Fixed-Interval Smoother Using Covariance Information based on Innovation Approach in Linear Continuous Stochastic Systems 8 Froniers in Signal Processing, Vol. 1, No. 1, July 217 hps://dx.doi.org/1.2266/fsp.217.112 Recursive Leas-Squares Fixed-Inerval Smooher Using Covariance Informaion based on Innovaion Approach in Linear

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

v A Since the axial rigidity k ij is defined by P/v A, we obtain Pa 3

v A Since the axial rigidity k ij is defined by P/v A, we obtain Pa 3 The The rd rd Inernaional Conference on on Design Engineering and Science, ICDES 14 Pilsen, Czech Pilsen, Republic, Czech Augus Republic, 1 Sepember 1-, 14 In-plane and Ou-of-plane Deflecion of J-shaped

More information

Analytic nonlinear elasto-viscosity of two types of BN and PI rubbers at large deformations

Analytic nonlinear elasto-viscosity of two types of BN and PI rubbers at large deformations Bulgarian Chemical Communicaions, Volume 48, Special Issue E (pp. 59-64) 016 Analyic nonlinear elaso-viscosiy of wo ypes of BN and PI rubbers a large deformaions K. B. Hadjov, A. S. Aleksandrov, M. P.

More information

First Order RC and RL Transient Circuits

First Order RC and RL Transient Circuits Firs Order R and RL Transien ircuis Objecives To inroduce he ransiens phenomena. To analyze sep and naural responses of firs order R circuis. To analyze sep and naural responses of firs order RL circuis.

More information

Fractional Method of Characteristics for Fractional Partial Differential Equations

Fractional Method of Characteristics for Fractional Partial Differential Equations Fracional Mehod of Characerisics for Fracional Parial Differenial Equaions Guo-cheng Wu* Modern Teile Insiue, Donghua Universiy, 188 Yan-an ilu Road, Shanghai 51, PR China Absrac The mehod of characerisics

More information

Basic Circuit Elements Professor J R Lucas November 2001

Basic Circuit Elements Professor J R Lucas November 2001 Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions

More information

1. VELOCITY AND ACCELERATION

1. VELOCITY AND ACCELERATION 1. VELOCITY AND ACCELERATION 1.1 Kinemaics Equaions s = u + 1 a and s = v 1 a s = 1 (u + v) v = u + as 1. Displacemen-Time Graph Gradien = speed 1.3 Velociy-Time Graph Gradien = acceleraion Area under

More information

Mobile Ion Effects on SiC MOS Bias- Temperature Instability Measurements

Mobile Ion Effects on SiC MOS Bias- Temperature Instability Measurements 14-15 Aug 2014 1 U.S. Army Research, Developmen and Engineering Command Mobile Ion Effecs on SiC MOS Bias- Temperaure Insabiliy Measuremens Daniel B. Habersa Neil Goldsman (UMD), and Aivars Lelis 14-15

More information

INDEX. Transient analysis 1 Initial Conditions 1

INDEX. Transient analysis 1 Initial Conditions 1 INDEX Secion Page Transien analysis 1 Iniial Condiions 1 Please inform me of your opinion of he relaive emphasis of he review maerial by simply making commens on his page and sending i o me a: Frank Mera

More information

Ordinary Differential Equations

Ordinary Differential Equations Lecure 22 Ordinary Differenial Equaions Course Coordinaor: Dr. Suresh A. Karha, Associae Professor, Deparmen of Civil Engineering, IIT Guwahai. In naure, mos of he phenomena ha can be mahemaically described

More information

Chapter 24. Coulometry (Bulk Electrolysis Methods) Definition. Features of Bulk Electrolysis Cells

Chapter 24. Coulometry (Bulk Electrolysis Methods) Definition. Features of Bulk Electrolysis Cells Chaper 24 Coulomery (Bulk Elecrolysis Mehods) Definiion Coulomery (Bulk Elecrolysis) deals wih mehods ha involve elecrolysis producing a quaniaive change in oxidaion sae Example: In a mixure soluion of

More information

Available online at ScienceDirect. Physics Procedia 47 (2013 ) 33 38

Available online at  ScienceDirect. Physics Procedia 47 (2013 ) 33 38 Available online a www.sciencedirec.com ScienceDirec Physics Procedia 47 3 ) 33 38 Scienific Workshop on Nuclear Fission Dynamics and he Emission of Promp Neurons and Gamma Rays, Biarriz, France, 8-3 November

More information

PET467E-Analysis of Well Pressure Tests/2008 Spring Semester/İTÜ Midterm Examination (Duration 3:00 hours) Solutions

PET467E-Analysis of Well Pressure Tests/2008 Spring Semester/İTÜ Midterm Examination (Duration 3:00 hours) Solutions M. Onur 03.04.008 PET467E-Analysis of Well Pressure Tess/008 Spring Semeser/İTÜ Miderm Examinaion (Duraion 3:00 hours) Soluions Name of he Suden: Insrucions: Before saring he exam, wrie your name clearly

More information

Accurate RMS Calculations for Periodic Signals by. Trapezoidal Rule with the Least Data Amount

Accurate RMS Calculations for Periodic Signals by. Trapezoidal Rule with the Least Data Amount Adv. Sudies Theor. Phys., Vol. 7, 3, no., 3-33 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/.988/asp.3.3999 Accurae RS Calculaions for Periodic Signals by Trapezoidal Rule wih he Leas Daa Amoun Sompop Poomjan,

More information

Chapter 8 The Complete Response of RL and RC Circuits

Chapter 8 The Complete Response of RL and RC Circuits Chaper 8 The Complee Response of RL and RC Circuis Seoul Naional Universiy Deparmen of Elecrical and Compuer Engineering Wha is Firs Order Circuis? Circuis ha conain only one inducor or only one capacior

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION DOI: 0.038/NCLIMATE893 Temporal resoluion and DICE * Supplemenal Informaion Alex L. Maren and Sephen C. Newbold Naional Cener for Environmenal Economics, US Environmenal Proecion

More information

Numerical Dispersion

Numerical Dispersion eview of Linear Numerical Sabiliy Numerical Dispersion n he previous lecure, we considered he linear numerical sabiliy of boh advecion and diffusion erms when approimaed wih several spaial and emporal

More information

Matlab and Python programming: how to get started

Matlab and Python programming: how to get started Malab and Pyhon programming: how o ge sared Equipping readers he skills o wrie programs o explore complex sysems and discover ineresing paerns from big daa is one of he main goals of his book. In his chaper,

More information

INVERSE RESPONSE COMPENSATION BY ESTIMATING PARAMETERS OF A PROCESS COMPRISING OF TWO FIRST ORDER SYSTEMS

INVERSE RESPONSE COMPENSATION BY ESTIMATING PARAMETERS OF A PROCESS COMPRISING OF TWO FIRST ORDER SYSTEMS Inernaional Journal of Informaion Technology and nowledge Managemen July-December 0, Volume 5, No., pp. 433-438 INVERSE RESPONSE COMPENSATION BY ESTIMATING PARAMETERS OF A PROCESS COMPRISING OF TWO FIRST

More information

Inventory Control of Perishable Items in a Two-Echelon Supply Chain

Inventory Control of Perishable Items in a Two-Echelon Supply Chain Journal of Indusrial Engineering, Universiy of ehran, Special Issue,, PP. 69-77 69 Invenory Conrol of Perishable Iems in a wo-echelon Supply Chain Fariborz Jolai *, Elmira Gheisariha and Farnaz Nojavan

More information

EE 301 Lab 2 Convolution

EE 301 Lab 2 Convolution EE 301 Lab 2 Convoluion 1 Inroducion In his lab we will gain some more experience wih he convoluion inegral and creae a scrip ha shows he graphical mehod of convoluion. 2 Wha you will learn This lab will

More information

2) Of the following questions, which ones are thermodynamic, rather than kinetic concepts?

2) Of the following questions, which ones are thermodynamic, rather than kinetic concepts? AP Chemisry Tes (Chaper 12) Muliple Choice (40%) 1) Which of he following is a kineic quaniy? A) Enhalpy B) Inernal Energy C) Gibb s free energy D) Enropy E) Rae of reacion 2) Of he following quesions,

More information

Shiva Akhtarian MSc Student, Department of Computer Engineering and Information Technology, Payame Noor University, Iran

Shiva Akhtarian MSc Student, Department of Computer Engineering and Information Technology, Payame Noor University, Iran Curren Trends in Technology and Science ISSN : 79-055 8hSASTech 04 Symposium on Advances in Science & Technology-Commission-IV Mashhad, Iran A New for Sofware Reliabiliy Evaluaion Based on NHPP wih Imperfec

More information

Chapter 14 Homework Answers

Chapter 14 Homework Answers 4. Suden responses will vary. (a) combusion of gasoline (b) cooking an egg in boiling waer (c) curing of cemen Chaper 4 Homework Answers 4. A collision beween only wo molecules is much more probable han

More information

CHAPTER 12 DIRECT CURRENT CIRCUITS

CHAPTER 12 DIRECT CURRENT CIRCUITS CHAPTER 12 DIRECT CURRENT CIUITS DIRECT CURRENT CIUITS 257 12.1 RESISTORS IN SERIES AND IN PARALLEL When wo resisors are conneced ogeher as shown in Figure 12.1 we said ha hey are conneced in series. As

More information

Modelling traffic flow with constant speed using the Galerkin finite element method

Modelling traffic flow with constant speed using the Galerkin finite element method Modelling raffic flow wih consan speed using he Galerin finie elemen mehod Wesley Ceulemans, Magd A. Wahab, Kur De Prof and Geer Wes Absrac A macroscopic level, raffic can be described as a coninuum flow.

More information