Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate

Size: px
Start display at page:

Download "Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate"

Transcription

1 ucs Nucleus Nucleus omaon cal supesauaon Mng o eucs, empeaue, ec. Pmay pacle Gowh Inegaon o uson-lme pacle gowh Nanopacles Agglomeaon eagglomeaon Agglomeae Sablsaon o he nanopacles agans agglomeaon! anspo mechansm uson o convecon-conolle Pacle neacon van-e-waals aacon elecosacal / secal epulson Agglomeae sucue uklcal geomey, acals

2 Agglomeaon knecs sol nanopacles NP pacle se nm... nm agglomeaon espeson Wha s he le me o pmay nanopacles n a suspenson? specc suace aea 5 m²/g....5 m²/g sol pacle ensy ρ=. g/cm³ elecosac sablaon ea poenal ζ mv Agglomeaon knecs epens on: a anspo mechansm o NP n he meum uson Bownan moon low egme o he meum lamna, ubulen semenaon, selemen b aheson ecency slow, as coagulaon lecosac, secal epulson van-e-waals aacon LVO heoy, Fuchs sably ao

3 Agglomeaon knecs peknec as agglomeaon Smoluchowsk - uson ven Bownan moon van-e-waals oce acng only nanopacle s e abay sphee wh aus nanopacle s non-e Bownan moon uson coecen numbe concenaon sance nanopacles an wh a an ae agglomeang uson lu o -pacle acoss sphee o -pacle s Non equlbum hemoynamcs lu := popoonal aco vng oce A wh an neace aea A, hus negaon s necessay s Fck s law A n = L X wh n uson lu hough neace aea A s seay consan

4 Agglomeaon knecs peknec as agglomeaon Smoluchowsk - negaon Poblem: nanopacle s non-e now Wha s he elaon beween an? uson lu o -pacle acoss sphee o -pacle s negaon o gves bounay conons uson lu o non-e o e nanopacles chaacee by uson coecen Bownan moon an numbe concenaon anom walk n pobably p o go om o + o o - s equal hus: mean squae splacemen s p o walk y 6 o walk

5 Agglomeaon knecs peknec as agglomeaon Smoluchowsk - elaon beween an Wha s he elaon beween an? Now: uson lu o boh non-e NPs: elaon uson coecen - pacle amee anom walk o wo nanopacles - sance an mean squae splacemen s o walk el an walk nepenenly + o - hus: el wh nsen 6 k ollows 6 k nanopacle agglomeaon as a chemcal eacon k s he agglomeaon ae consan A + B chemcal eacon ae: secon oe eacon k usng uson lu 6 k k hus: k k

6 Agglomeaon knecs peknec as agglomeaon Smoluchowsk - agglomeaon ae consan nanopacle agglomeaon as a chemcal eacon A + A chemcal eacon ae: secon oe eacon k usng uson lu ollows k 6 k wh nsen k 6 ollows s he agglomeaon ae consan o a monospese nanopacle sysem k = m s - k 6 elaon uson coecen - pacle amee k k k Wha s he hal le me o hs agglomeaon? hal le me / : negaon sang wh sepaaon o vaables: / nal concenaon k k gves k k k, hus k k hal lve me / : / 8 k eample:.8 Ma-% O suspenson =.8 5 cm - hal lve me / : empeaue = 98 K vscosy wae = kg m - s - 8. cm / s. ms

7 Agglomeaon knecs Peknec slow agglomeaon Fuchs van-e-waals aacon an elecosac epulson - enegy bae see LVO heoy acs as a coune oce o vng oce concenaon gaen classcal mechancs: geneal physcs : lu: F oce = con aco velocy F v ga poenal enegy A A oce = poenal gaen v F lu = concenaon velocy A con aco o nanopacles n suspenson: k nsen k hemal enegy Sokes con oce as agglomeaon: slow agglomeaon: k nhomogeneous O o s oe: k homogeneous O o be solve: k k y y A k ep y k

8 Agglomeaon knecs Peknec slow agglomeaon Fuchs van-e-waals aacon an elecosac epulson - enegy bae see LVO heoy acs as a coune oce o vng oce concenaon gaen soluon o homogeneous O: k ep soluon o nhomogeneous O wh = : k k ep k ep ' ' k ep k ep k ep k ep bounay conons: soluon o nhomogeneous O: k ep k ep k ep k ep lu o boh NPs o slow agglomeaon: s k ep compae wh: o a as agglomeaon pocess Fuchs sably ao k ep W

9 Agglomeaon knecs ohoknec as agglomeaon Smoluchowsk - lamna shea oce, van-e-waals oce v shea gaen v sa vew numbe concenaon numbe concenaon en vew nanopacles an wh a an ae agglomeang: elave velocy o pacle o e pacle : v v, pacles wll come n conac when hey move nse a cylne wh he aus + + eenal aea s y A lu o wh A v pacles subsuon u v o n n ollows n e pacle : v ; u u u u u u

2 shear strain / L for small angle

2 shear strain / L for small angle Sac quaons F F M al Sess omal sess foce coss-seconal aea eage Shea Sess shea sess shea foce coss-seconal aea llowable Sess Faco of Safe F. S San falue Shea San falue san change n lengh ognal lengh Hooke

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

Control Volume Derivation

Control Volume Derivation School of eospace Engineeing Conol Volume -1 Copyigh 1 by Jey M. Seizman. ll ighs esee. Conol Volume Deiaion How o cone ou elaionships fo a close sysem (conol mass) o an open sysem (conol olume) Fo mass

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

May 29, 2018, 8:45~10:15 IB011 Advanced Lecture on Semiconductor Electronics #7

May 29, 2018, 8:45~10:15 IB011 Advanced Lecture on Semiconductor Electronics #7 May 9, 8, 8:5~:5 I Advanced Lecue on Semconduco leconcs #7 # Dae Chape 7 May 9 Chape 5.Deec and Cae Cae Scaeng Ionzed mpuy scaeng, Alloy scaeng, Neual mpuy scaeng, Ineace oughness scaeng, Auge / Scaeng

More information

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr. Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock

More information

Physics 201 Lecture 15

Physics 201 Lecture 15 Phscs 0 Lecue 5 l Goals Lecue 5 v Elo consevaon of oenu n D & D v Inouce oenu an Iulse Coens on oenu Consevaon l oe geneal han consevaon of echancal eneg l oenu Consevaon occus n sses wh no ne eenal foces

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

Field due to a collection of N discrete point charges: r is in the direction from

Field due to a collection of N discrete point charges: r is in the direction from Physcs 46 Fomula Shee Exam Coulomb s Law qq Felec = k ˆ (Fo example, f F s he elecc foce ha q exes on q, hen ˆ s a un veco n he decon fom q o q.) Elecc Feld elaed o he elecc foce by: Felec = qe (elecc

More information

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles Couse Oulne. MATLAB uoal. Moon of syses ha can be dealzed as pacles Descpon of oon, coodnae syses; Newon s laws; Calculang foces equed o nduce pescbed oon; Deng and solng equaons of oon 3. Conseaon laws

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

Basic molecular dynamics

Basic molecular dynamics 1.1, 3.1, 1.333,. Inoducon o Modelng and Smulaon Spng 11 Pa I Connuum and pacle mehods Basc molecula dynamcs Lecue Makus J. Buehle Laboaoy fo Aomsc and Molecula Mechancs Depamen of Cvl and Envonmenal Engneeng

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Orthotropic Materials

Orthotropic Materials Kapiel 2 Ohoopic Maeials 2. Elasic Sain maix Elasic sains ae elaed o sesses by Hooke's law, as saed below. The sesssain elaionship is in each maeial poin fomulaed in he local caesian coodinae sysem. ε

More information

2 dependence in the electrostatic force means that it is also

2 dependence in the electrostatic force means that it is also lectc Potental negy an lectc Potental A scala el, nvolvng magntues only, s oten ease to wo wth when compae to a vecto el. Fo electc els not havng to begn wth vecto ssues woul be nce. To aange ths a scala

More information

COPYRIGHT NOTICE: For COURSE PACK PERMISSIONS, refer to entry on previous menu. For more information, send to

COPYRIGHT NOTICE: For COURSE PACK PERMISSIONS, refer to entry on previous menu. For more information, send  to COPYRT NOTCE: TRBBE: Pnceon ue o Avance Physcs s publshe by Pnceon Unvesy Pess an copyghe, (c) 996, by Pnceon Unvesy Pess. All ghs eseve. Ths ex may be use an shae n accoance wh he fa-use povsons of US

More information

Molecular dynamics modeling of thermal and mechanical properties

Molecular dynamics modeling of thermal and mechanical properties Molecula dynamcs modelng of hemal and mechancal popees Alejando Sachan School of Maeals Engneeng Pudue Unvesy sachan@pudue.edu Maeals a molecula scales Molecula maeals Ceamcs Meals Maeals popees chas Maeals

More information

RELATIVE MOTION OF SYSTEMS IN A PARAMETRIC FORMULATION OF MECHANICS UDC Đorđe Mušicki

RELATIVE MOTION OF SYSTEMS IN A PARAMETRIC FORMULATION OF MECHANICS UDC Đorđe Mušicki FCT UNIVESITTIS Sees: Mechancs, uoac Conol an obocs Vol.3, N o,, pp. 39-35 ELTIVE MOTION OF SYSTEMS IN PMETIC FOMULTION OF MECHNICS UDC 53. Đođe Mušck Faculy of Physcs, Unvesy of Belgae, an Maheacal Insue

More information

Lecture 9: Dynamic Properties

Lecture 9: Dynamic Properties Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.

More information

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

The Feigel Process. The Momentum of Quantum Vacuum. Geert Rikken Vojislav Krstic. CNRS-France. Ariadne call A0/1-4532/03/NL/MV 04/1201

The Feigel Process. The Momentum of Quantum Vacuum. Geert Rikken Vojislav Krstic. CNRS-France. Ariadne call A0/1-4532/03/NL/MV 04/1201 The Fegel Pocess The Momenum of Quanum Vacuum a an Tggelen CNRS -Fance Laboaoe e Physque e Moélsaon es Mleux Complexes Unesé Joseph Foue/CNRS, Genoble, Fance Gee Ren Vosla Ksc CNRS Fance CNRS-Fance Laboaoe

More information

Chapters 2 Kinematics. Position, Distance, Displacement

Chapters 2 Kinematics. Position, Distance, Displacement Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen

More information

ESS 265 Spring Quarter 2005 Kinetic Simulations

ESS 265 Spring Quarter 2005 Kinetic Simulations SS 65 Spng Quae 5 Knec Sulaon Lecue une 9 5 An aple of an lecoagnec Pacle Code A an eaple of a knec ulaon we wll ue a one denonal elecoagnec ulaon code called KMPO deeloped b Yohhau Oua and Hoh Mauoo.

More information

Density Functional Theory I

Density Functional Theory I Densty Functonal Theoy I cholas M. Hason Depatment of Chemsty Impeal College Lonon & Computatonal Mateals Scence Daesbuy Laboatoy ncholas.hason@c.ac.uk Densty Functonal Theoy I The Many Electon Schönge

More information

Numerical solution of differential equations

Numerical solution of differential equations Numecal soluon of ffeenal euaons Devng an solvng ffeenal euaons DE s a common ask n compuaonal eseac. Many pyscal laws/elaons ae fomulae n ems of DE. Mos connuum smulaon meos ae base on soluon of DE. Aloug

More information

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland The Unque Soluon of Sochasc Dffeenal Equaons Dech Rye RyeDM@gawne.ch Mdaweg 3 CH-4500 Solohun Swzeland Phone +4132 621 13 07 Tme evesal n sysems whou an exenal df sngles ou he an-iô negal. Key wods: Sochasc

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

Mass-Spring Systems Surface Reconstruction

Mass-Spring Systems Surface Reconstruction Mass-Spng Syses Physally-Based Modelng: Mass-Spng Syses M. Ale O. Vasles Mass-Spng Syses Mass-Spng Syses Snake pleenaon: Snake pleenaon: Iage Poessng / Sae Reonson: Iage poessng/ Sae Reonson: Mass-Spng

More information

MCTDH Approach to Strong Field Dynamics

MCTDH Approach to Strong Field Dynamics MCTDH ppoach o Song Feld Dynamcs Suen Sukasyan Thomas Babec and Msha Ivanov Unvesy o Oawa Canada Impeal College ondon UK KITP Sana Babaa. May 8 009 Movaon Song eld dynamcs Role o elecon coelaon Tunnel

More information

Modeling the Filament Formation in the Wet Spinning of Synthetic Fiber from Polymer Solutions

Modeling the Filament Formation in the Wet Spinning of Synthetic Fiber from Polymer Solutions heoecal Foundaons of hemcal Engneeng Vol. 3. No 3 1996. pp. 295-31 anslaed fom eoecheske Osnovy Khmchesko ekhnolog. Vol. 3. No. 3. 1996. pp. 327-334 Ognal Russan ex opygh 1996 by Kalabn Paksve Kukushkn.

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

FIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED)

FIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED) FIRMS IN THE TWO-ERIO FRAMEWORK (CONTINUE) OCTOBER 26, 2 Model Sucue BASICS Tmelne of evens Sa of economc plannng hozon End of economc plannng hozon Noaon : capal used fo poducon n peod (decded upon n

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

Displacement, Velocity, and Acceleration. (WHERE and WHEN?)

Displacement, Velocity, and Acceleration. (WHERE and WHEN?) Dsplacemen, Velocy, and Acceleraon (WHERE and WHEN?) Mah resources Append A n your book! Symbols and meanng Algebra Geomery (olumes, ec.) Trgonomery Append A Logarhms Remnder You wll do well n hs class

More information

2-d Motion: Constant Acceleration

2-d Motion: Constant Acceleration -d Moion: Consan Acceleaion Kinemaic Equaions o Moion (eco Fom Acceleaion eco (consan eloci eco (uncion o Posiion eco (uncion o The eloci eco and posiion eco ae a uncion o he ime. eloci eco a ime. Posiion

More information

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have:

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have: Poblem Se #3 Soluons Couse 4.454 Maco IV TA: Todd Gomley, gomley@m.edu sbued: Novembe 23, 2004 Ths poblem se does no need o be uned n Queson #: Sock Pces, vdends and Bubbles Assume you ae n an economy

More information

Physics 2A Chapter 11 - Universal Gravitation Fall 2017

Physics 2A Chapter 11 - Universal Gravitation Fall 2017 Physcs A Chapte - Unvesal Gavtaton Fall 07 hese notes ae ve pages. A quck summay: he text boxes n the notes contan the esults that wll compse the toolbox o Chapte. hee ae thee sectons: the law o gavtaton,

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay)

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay) Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens

More information

Radial Motion of Two Mutually Attracting Particles

Radial Motion of Two Mutually Attracting Particles Radal Moon of Two Muually Aacng Pacles Cal E. Mungan, U.S. Naval Academy, Annapols, MD A pa of masses o oppose-sgn chages eleased fom es wll move decly owad each ohe unde he acon of he nvesedsance-squaed

More information

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3 elave moon L4:1 To appl Newon's laws we need measuemens made fom a 'fed,' neal efeence fame (unacceleaed, non-oang) n man applcaons, measuemens ae made moe smpl fom movng efeence fames We hen need a wa

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Born Oppenheimer Approximation and Beyond

Born Oppenheimer Approximation and Beyond L Born Oppenhemer Approxmaon and Beyond aro Barba A*dex Char Professor maro.barba@unv amu.fr Ax arselle Unversé, nsu de Chme Radcalare LGHT AD Adabac x dabac x nonadabac LGHT AD From Gree dabaos: o be

More information

to Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013

to Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013 Decomposng he Global TIAM-Maco Maco Model o Assess Clmae Change Mgaon Inenaonal Enegy Wokshop Pas June 2013 Socaes Kypeos (PSI) & An Lehla (VTT) 2 Pesenaon Oulne The global ETSAP-TIAM PE model and he Maco

More information

Time Scale Analysis of a Fluidized-Bed Catalytic Reactor Based on a Generalized Dynamic Model

Time Scale Analysis of a Fluidized-Bed Catalytic Reactor Based on a Generalized Dynamic Model Reeeed Poceedngs The h Inenaonal oneence on Fludzaon - ew Hozons n Fludzaon ngneeng ngneeng oneences Inenaonal Yea 007 Tme cale Analyss o a Fludzed-Bed aalyc Reaco Based on a Genealzed Dynamc Model Andes

More information

APPH 4200 Physics of Fluids

APPH 4200 Physics of Fluids APPH 4200 Physcs of Fluds A Few More Flud Insables (Ch. 12) Turbulence (Ch. 13) December 1, 2011 1.!! Vscous boundary layer and waves 2.! Sably of Parallel Flows 3.! Inroducon o Turbulence: Lorenz Model

More information

An Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants

An Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants An Open cycle and losed cycle Gas ubine Engines Mehods o impove he pefomance of simple gas ubine plans I egeneaive Gas ubine ycle: he empeaue of he exhaus gases in a simple gas ubine is highe han he empeaue

More information

Convective Heat Transfer (6) Forced Convection (8) Martin Andersson

Convective Heat Transfer (6) Forced Convection (8) Martin Andersson Convecive Hea Tansfe (6) Foced Convecion (8) Main Andesson Agenda Convecive hea ansfe Conini eq. Convecive dc flow (inodcion o ch. 8) Convecive hea ansfe Convecive hea ansfe Convecive hea ansfe f flid

More information

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all

More information

CHAPTER 13 LAGRANGIAN MECHANICS

CHAPTER 13 LAGRANGIAN MECHANICS CHAPTER 3 AGRANGIAN MECHANICS 3 Inoucon The usual way of usng newonan mechancs o solve a poblem n ynamcs s fs of all o aw a lage, clea agam of he sysem, usng a ule an a compass Then mak n he foces on he

More information

PHYS PRACTICE EXAM 2

PHYS PRACTICE EXAM 2 PHYS 1800 PRACTICE EXAM Pa I Muliple Choice Quesions [ ps each] Diecions: Cicle he one alenaive ha bes complees he saemen o answes he quesion. Unless ohewise saed, assume ideal condiions (no ai esisance,

More information

MAE 210B. Homework Solution #6 Winter Quarter, U 2 =r U=r 2 << 1; ) r << U : (1) The boundary conditions written in polar coordinates,

MAE 210B. Homework Solution #6 Winter Quarter, U 2 =r U=r 2 << 1; ) r << U : (1) The boundary conditions written in polar coordinates, MAE B Homewok Solution #6 Winte Quate, 7 Poblem a Expecting a elocity change of oe oe a aial istance, the conition necessay fo the ow to be ominate by iscous foces oe inetial foces is O( y ) O( ) = =

More information

Non-sinusoidal Signal Generators

Non-sinusoidal Signal Generators Non-sinusoidal Signal Geneaos ecangle, iangle, saw ooh, pulse, ec. Muliibao cicuis: asable no sable saes (wo quasi-sable saes; i emains in each sae fo pedeemined imes) monosable one sable sae, one unsable

More information

General Relativity Homework 5

General Relativity Homework 5 Geneal Relativity Homewok 5. In the pesence of a cosmological constant, Einstein s Equation is (a) Calculate the gavitational potential point souce with = M 3 (). R µ Rg µ + g µ =GT µ. in the Newtonian

More information

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing Peenaon fo Theoecal Condened Mae Phyc n TU Beln Geen-Funcon and GW appoxmaon Xnzheng L Theoy Depamen FHI May.8h 2005 Elecon n old Oulne Toal enegy---well olved Sngle pacle excaon---unde developng The Geen

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

8. HAMILTONIAN MECHANICS

8. HAMILTONIAN MECHANICS 8. HAMILTONIAN MECHANICS In ode o poceed fom he classcal fomulaon of Maxwell's elecodynamcs o he quanum mechancal descpon a new mahemacal language wll be needed. In he pevous secons he elecomagnec feld

More information

III. Electromechanical Energy Conversion

III. Electromechanical Energy Conversion . Electoancal Enegy Coneson Schematc epesentaton o an toancal enegy coneson ece coppe losses coe losses (el losses) ancal losses Deental enegy nput om tcal souce: W V t Rt e t t W net ancal enegy output

More information

The sound field of moving sources

The sound field of moving sources Nose Engneeng / Aoss -- ong Soes The son el o mong soes ong pon soes The pesse el geneae by pon soe o geneal me an The pess T poson I he soe s onenae a he sngle mong pon, soe may I he soe s I be wen as

More information

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations. Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Homework 8: Rigid Body Dynamics Due Friday April 21, 2017

Homework 8: Rigid Body Dynamics Due Friday April 21, 2017 EN40: Dynacs and Vbraons Hoework 8: gd Body Dynacs Due Frday Aprl 1, 017 School of Engneerng Brown Unversy 1. The earh s roaon rae has been esaed o decrease so as o ncrease he lengh of a day a a rae of

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

ajanuary't I11 F or,'.

ajanuary't I11 F or,'. ',f,". ; q - c. ^. L.+T,..LJ.\ ; - ~,.,.,.,,,E k }."...,'s Y l.+ : '. " = /.. :4.,Y., _.,,. "-.. - '// ' 7< s k," ;< - " fn 07 265.-.-,... - ma/ \/ e 3 p~~f v-acecu ean d a e.eng nee ng sn ~yoo y namcs

More information

A multiple-relaxation-time lattice Boltzmann model for simulating. incompressible axisymmetric thermal flows in porous media

A multiple-relaxation-time lattice Boltzmann model for simulating. incompressible axisymmetric thermal flows in porous media A mulple-elaxaon-me lace Bolmann model fo smulang ncompessble axsymmec hemal flows n poous meda Qng Lu a, Ya-Lng He a, Qng L b a Key Laboaoy of Themo-Flud Scence and Engneeng of Mnsy of Educaon, School

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Muffin Tins, Green s Functions, and Nanoscale Transport [ ] Derek Stewart CNF Fall Workshop Cooking Lesson #1

Muffin Tins, Green s Functions, and Nanoscale Transport [ ] Derek Stewart CNF Fall Workshop Cooking Lesson #1 Muffn Tns, Geen s Funcons, and Nanoscale Tanspo G [ ] E H Σ 1 Deek Sewa CNF Fall Wokshop Cookng Lesson #1 Talk Ovevew A moe localzed appoach Ogns: Mulple Scaeng Theoy & KK Lnea Muffn Tn Obals Geen s funcons

More information

Physics 231 Lecture 21

Physics 231 Lecture 21 Physics 3 Lectue Main points o today s lectue: Angula momentum: L Newton s law o univesal gavitation: GMm F PE GMm Keple s laws and the elation between the obital peiod and obital adius. T π GM 4 3 Rolling

More information

Engineering Accreditation. Heat Transfer Basics. Assessment Results II. Assessment Results. Review Definitions. Outline

Engineering Accreditation. Heat Transfer Basics. Assessment Results II. Assessment Results. Review Definitions. Outline Hea ansfe asis Febua 7, 7 Hea ansfe asis a Caeo Mehanial Engineeing 375 Hea ansfe Febua 7, 7 Engineeing ediaion CSUN has aedied pogams in Civil, Eleial, Manufauing and Mehanial Engineeing Naional aediing

More information

PHY481: Electromagnetism

PHY481: Electromagnetism PHY48: Electomagnetism HW5 Lectue Cal Bombeg - Pof. of Physics Bounday condition ( ) = C n cos n + V x, y ( ) n= ( ) = V cos x V x,± a 5.3 V = V cos x a & ' at y = ± a Geneal solution (fo even bounday

More information

Scott R. Chubb and Talbot A. Chubb Research Systems, Inc., 9822 Pebble Weigh Ct., Burke. VA USA

Scott R. Chubb and Talbot A. Chubb Research Systems, Inc., 9822 Pebble Weigh Ct., Burke. VA USA Cubb, S.R. and T.A. Cubb. Teoecal Famewok fo Anomalous Hea and 4He n Tanson Meal Sysems. n 8 Inenaonal Confeence on Cold Fuson. 000. Lec (La Speza), Ialy: Ialan Pyscal Socey, Bologna, Ialy. Teoecal Famewok

More information

Ch04 Work, Energy and Power What is work in physics?

Ch04 Work, Energy and Power What is work in physics? Eunl Won Dept o Physcs, Korea Unversty 1 Ch04 Work, Energy and Power What s work n physcs? Eunl Won Dept o Physcs, Korea Unversty Eunl Won Dept o Physcs, Korea Unversty 3 Work W F d W Fd cosφ W Fd ο cos

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

Laser Interferometer Space Antenna (LISA)

Laser Interferometer Space Antenna (LISA) aser nerferomeer Sace Anenna SA Tme-elay nerferomery wh Movng Sacecraf Arrays Massmo Tno Je Proulson aboraory, Calforna nsue of Technology GSFC JP 8 h GWAW, ec 7-0, 00, Mlwaukee, Wsconsn WM Folkner e al,

More information

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2 COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e

More information

EN221 - Fall HW # 7 Solutions

EN221 - Fall HW # 7 Solutions EN221 - Fall2008 - HW # 7 Soluions Pof. Vivek Shenoy 1.) Show ha he fomulae φ v ( φ + φ L)v (1) u v ( u + u L)v (2) can be pu ino he alenaive foms φ φ v v + φv na (3) u u v v + u(v n)a (4) (a) Using v

More information

HW Solutions # MIT - Prof. Please study example 12.5 "from the earth to the moon". 2GmA v esc

HW Solutions # MIT - Prof. Please study example 12.5 from the earth to the moon. 2GmA v esc HW Solutions # 11-8.01 MIT - Pof. Kowalski Univesal Gavity. 1) 12.23 Escaping Fom Asteoid Please study example 12.5 "fom the eath to the moon". a) The escape velocity deived in the example (fom enegy consevation)

More information

ev dm e evd 2 m e 1 2 ev2 B) e 2 0 dm e D) m e

ev dm e evd 2 m e 1 2 ev2 B) e 2 0 dm e D) m e . A paallel-plate capacito has sepaation d. The potential diffeence between the plates is V. If an electon with chage e and mass m e is eleased fom est fom the negative plate, its speed when it eaches

More information

SPHERICAL WINDS SPHERICAL ACCRETION

SPHERICAL WINDS SPHERICAL ACCRETION SPHERICAL WINDS SPHERICAL ACCRETION Spheical wins. Many sas ae known o loose mass. The sola win caies away abou 10 14 M y 1 of vey ho plasma. This ae is insignifican. In fac, sola aiaion caies away 4 10

More information

Part V: Velocity and Acceleration Analysis of Mechanisms

Part V: Velocity and Acceleration Analysis of Mechanisms Pat V: Velocty an Acceleaton Analyss of Mechansms Ths secton wll evew the most common an cuently pactce methos fo completng the knematcs analyss of mechansms; escbng moton though velocty an acceleaton.

More information

Water Hammer in Pipes

Water Hammer in Pipes Waer Haer Hydraulcs and Hydraulc Machnes Waer Haer n Pes H Pressure wave A B If waer s flowng along a long e and s suddenly brough o res by he closng of a valve, or by any slar cause, here wll be a sudden

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

More information

Keywords: NMR; MRI; modified-bloch equation; Anisotropic anomalous diffusion; PFG

Keywords: NMR; MRI; modified-bloch equation; Anisotropic anomalous diffusion; PFG Geneal PFG sgnal aenuaon epessons o ansoopc anoalous uson b oe-bloch equaons Guong Ln* Calson chool o Ches an Boches Cla Unves Wocese A 6 UA Absac Anoalous uson ess wel n pole an bologcal sses. Pulse-el

More information

HEAT FLUX ESTIMATION IN THIN-LAYER DRYING. Olivier Fudym Christine Carrère-Gée Didier Lecomte Bruno Ladevie

HEAT FLUX ESTIMATION IN THIN-LAYER DRYING. Olivier Fudym Christine Carrère-Gée Didier Lecomte Bruno Ladevie Invese Poblems n Engneeng : Theoy and Pacce d In Coneence on Invese Poblems n Engneeng June -8, 999, Po Ludlow, WA, UA HT5 HEAT FLUX ETIMATION IN THIN-LAYER DRYING Olve Fudym Chsne Caèe-Gée Dde Lecome

More information

1. Kinematics I: Position and Velocity

1. Kinematics I: Position and Velocity 1. Kinemaics I: Posiion and Velociy Inroducion The purpose of his eperimen is o undersand and describe moion. We describe he moion of an objec by specifying is posiion, velociy, and acceleraion. In his

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

CHAPTER 5: MULTIVARIATE METHODS

CHAPTER 5: MULTIVARIATE METHODS CHAPER 5: MULIVARIAE MEHODS Mulvarae Daa 3 Mulple measuremens (sensors) npus/feaures/arbues: -varae N nsances/observaons/eamples Each row s an eample Each column represens a feaure X a b correspons o he

More information

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light Lecue 5 Chape 3 lecomagneic Theo, Phoons, and Ligh Gauss s Gauss s Faada s Ampèe- Mawell s + Loen foce: S C ds ds S C F dl dl q Mawell equaions d d qv A q A J ds ds In mae fields ae defined hough ineacion

More information

Gravitation. AP/Honors Physics 1 Mr. Velazquez

Gravitation. AP/Honors Physics 1 Mr. Velazquez Gavitation AP/Honos Physics 1 M. Velazquez Newton s Law of Gavitation Newton was the fist to make the connection between objects falling on Eath and the motion of the planets To illustate this connection

More information

Convective Heat Transfer (6) Forced Convection (8) Martin Andersson

Convective Heat Transfer (6) Forced Convection (8) Martin Andersson Convecive Hea Tansfe (6) Foced Convecion (8) Main Andesson Agenda Convecive hea ansfe Conini eq. Convecive dc flow (inodcion o ch. 8) Convecive hea ansfe Convecive hea ansfe Convecive hea ansfe f flid

More information

Chapter 13: Gravitation

Chapter 13: Gravitation v m m F G Chapte 13: Gavitation The foce that makes an apple fall is the same foce that holds moon in obit. Newton s law of gavitation: Evey paticle attacts any othe paticle with a gavitation foce given

More information

A VISCOPLASTIC MODEL OF ASYMMETRICAL COLD ROLLING

A VISCOPLASTIC MODEL OF ASYMMETRICAL COLD ROLLING SISOM 4, BUCHAEST, - May A VISCOPLASTIC MODEL OF ASYMMETICAL COLD OLLING odca IOAN Spu Hae Unvesy Buchaes, odcaoan7@homal.com Absac: In hs pape s gven a soluon of asymmecal sp ollng poblem usng a Bngham

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

OP = OO' + Ut + Vn + Wb. Material We Will Cover Today. Computer Vision Lecture 3. Multi-view Geometry I. Amnon Shashua

OP = OO' + Ut + Vn + Wb. Material We Will Cover Today. Computer Vision Lecture 3. Multi-view Geometry I. Amnon Shashua Comuer Vson 27 Lecure 3 Mul-vew Geomer I Amnon Shashua Maeral We Wll Cover oa he srucure of 3D->2D rojecon mar omograh Marces A rmer on rojecve geomer of he lane Eolar Geomer an Funamenal Mar ebrew Unvers

More information