HT TURBULENT NATURAL CONVECTION IN A DIFFERENTIALLY HEATED VERTICAL CHANNEL. Proceedings of 2008 ASME Summer Heat Transfer Conference HT2008

Size: px
Start display at page:

Download "HT TURBULENT NATURAL CONVECTION IN A DIFFERENTIALLY HEATED VERTICAL CHANNEL. Proceedings of 2008 ASME Summer Heat Transfer Conference HT2008"

Transcription

1 Proceedings of 2008 ASME Summer Heat Transfer Conference HT2008 August 10-14, 2008, Jacksonville, Florida USA Proceedings of HT ASME Summer Heat Transfer Conference August 10-14, 2008, Jacksonville, Florida USA HT TURBULENT NATURAL CONVECTION IN A DIFFERENTIALLY HEATED VERTICAL CHANNEL Abolfazl Siri Turbulence Researc Laboratory Department of Applied Mecanics Calmers University of Tecnology Gotenburg 41296, Sweden abolfazl@calmers.se William K. George Turbulence Researc Laboratory Department of Applied Mecanics Calmers University of Tecnology Gotenburg 41296, Sweden wkgeorge@calmers.se ABSTRACT Te turbulence natural convection boundary layer inside a infinite vertical cannel wit differentially eated walls is analyzed based on a similarity solution metodology. Te differences between mean temperature and velocity profiles in a boundary layer along a vertical flat plate and in a cannel flow, make it necessary to introduce new sets of scaling parameters. In te limit as H, two distinctive parts are considered: an outer region wic dominates te core of te flow and inner constant eat flux region close to te walls. Te proper inner scaling velocity is sowed to be determined by te outer parameters due to momentum integral. Te teory is contrasted wit te one suggested by George & Capp 1), te deficiencies of wic are identified. NOMENCLATURE C p specific eat at constant pressure. F o dimensionless eat transfer rate qw g H H Gr ρc p ). gravitational acceleration. cannel alf-widt and outer lengt scale. H-number based on temperature difference, H-number for constant eat flux walls, Grasof number for constant eat flux walls, ) Nu Nusselt number based on,. Fo T w α ) gβ Tw 3. α ) 2 gβfo 4. α 3 ) gβfo 4 ν 3. Pr Prandtl number α ν. q w wall eat flux. T mean temperature. T It inner temperature scale. T o outer temperature scale. T w wall temperature. T CL center-line temperature. T w walls temperature difference. U mean velocity in x direction. U I inner velocity scale,constant eat flux wall. U o outer velocity scale. V mean velocity in y direction. x distance indirection parallel to walls. y distance indirection perpendicular to walls. ỹ dimensionless outer variable, = y/). y + dimensionless inner variable, = y/η). α termal diffusivity. β termal expansion coefficient. η It inner lengt scale for constant eat flux wall. ρ density. ν viscosity. τ w wall sear stress. ξ lengt scales ratio, = η/). INTRODUCTION Despite its great importance in many industrial and environmental processes and several decades of attention, te basic scal- 1 Copyrigt c 2008 by ASME

2 ing parameters for turbulence natural convection flow near vertical surfaces are still te subject of some debate. In te modeling of suc flows, te near wall beavior of te turbulence quantities is essential in determining te relations among temperature, eat fluxes and velocity. Like oter wall-bounded flows, te problem is usually approaced by seeking scaling laws for te different regions of te flow, ten exploring te consequences of matcing te various regions. For te past tree decades, te primary model under consideration as been tat of George & Capp 1), wo noted te absence of a constant stress layer due to gravity). Tey ten postulated te existence of a buoyant sublayer witin te constant eat flux layer in wic te buoyancy flux from te wall, gβf o, was te crucial parameter, were g is te gravitational acceleration, β is coefficient of termal expansion and F o is te wall eat flux divided by density and specific eat. Using tis assumption tey proposed inner and outer scales for velocity to be gβf o α) 1/4 and gβf o ) 1/3 respectively, were α is te termal diffusivity and is te cannel alf-widt. Te teory as generally been found to be in excellent agreement wit numerous experimental studies for te temperature and eat transfer relations; in particular te temperature varies inversely wit te cube root of distance from wall in te buoyant sublayer, and te Nusselt number is proportional to te cube of te Rayleig number to witin a factor dependent on te Prandtl number. Te velocity profile scaling, owever, as long been recognized as problematical, especially wit more recent experiments and DNS. Altoug te outer velocity scaling matced te experimental results, te inner scaling and cube root velocity profile in te buoyant sublayer seemed to sow systematic departures from te teory wic could not be explained. Experimental data 2) and numerical simulation 3; 4; 5) of te natural convection inside a differentially eated cannel also sows tat te mean profiles of velocity and temperature do not follow te suggested asymptotic beavior in cannel flow. Also, te Reynolds sear stresses at te center of te cannel do not go to zero, unlike te flat plate wit semi-infinite fluid beside it. Terefore te momentum integral equation across te cannel will be seen to depend on te values of te sear stress and viscous stress at te center of cannel. Tis work reconsiders te George & Capp 1) similarity solution metodology and sows teir result to be inconsistent wit te momentum integral in natural convection cannel flow. Te proper inner scaling velocity is in fact determined by outer parameters and te momentum integral to be u i = gβf o ) 1/3. Since te inner and outer velocity profiles are now scaled by te same parameter, te velocity profile in buoyant sublayer must be logaritmic. Te temperature and eat transfer laws are te same as before. GOVERNING EQUATIONS An infinite vertical cannel wit differentially eated walls is sown in figure 1. Te distance between te two walls is 2 Figure 1. SCHEMATIC OF FULLY DEVELOPED TURBULENT BOUND- ARY LAYER INSIDE AN INFINITE VERTICAL CHANNEL WITH DIFFER- ENTIALLY HEATED WALLS. and te temperature difference is T w. Te kinematic viscosity ν, te termal diffusivity α and te termal expansion coefficient β are te fluid properties and considered to be constant. A uniform and steady eat flux is applied across te walls. Assuming te flow to be omogeneous in te streamwise direction, x, and te cannel to be of infinite extent, bot te wall temperature and wall eat flux must independent of x. Te Boussinesq approximation will be assumed to be valid, so density differences can be neglected except as tey affect te gravitational term. Furter, te temperature difference between te two sides is considered to be small enoug tat we can assume at least for te sake of argument ere) tat density and temperature differences are proportional; i.e., ρ/ρ o β T. We are erein interested only in fully-developed cannel flow, so te streamwise gradient of all properties is assumed to be identically zero, so tat all te mean convection terms become identically zero. Also te velocity and temperature profiles are antisymmetric across te cannel, wic gives te boundary condition of zero values at te centerline of te cannel. By contrast, te derivatives of tese profiles and Reynolds stresses are symmetrical wit respect to te center-line. Also te y-momentum equation of te flow can be used to eliminate te pressure in te x-momentum equation. For te limit of very ig Reynolds number, all tese assumptions reduce te equations of motion and energy for entire cannel to: 0 = y ν U ) y uv + gβt T re f ) 1) 2 Copyrigt c 2008 by ASME

3 and 0 = y α T ) y vt Capital letters refer to mean values wile lower case letters are used for fluctuating quantities. Tese equations are valid bot for near wall and te core region of te flow, but te viscous terms and conduction terms in te core or outer) region of te flow ave less effect and no effect at all in te limit of infinite Reynolds number). Te energy or temperature) equation 2 can be integrated across te cannel widt from wall to center-line) to yield 2) vt + α T y = q w ρc p F 0 3) were q w is te wall eat flux and C p is te specific eat at constant pressure. Equation 3 sows tat te entire cannel boundary layer to be a constant eat flux layer and te total kinematic eat flux, F o across te layer is independent of distance from te wall c.f., George and Capp 1)). Te momentum equation 1 can be similarly integrated across te cannel to give momentum integral equation as: unlike forced flow in cannels or pipes, it would appear tat te wall sear stress cannot be imposed as a constant parameter at all distances from te wall. Note tat in general, all of te values at te left-and side of te equation are constant i.e., x-independent and non-zero). Tus we can define: Φ 2 CL = ν U y uv 8) y= y= Altoug we migt expect te viscous term to be negligible in te limit of infinite Reynolds or Peclet) number, te Reynolds stress terms is most probably not due to te possible presence of igly correlated motions or coerent structures) tat span te cannel. Tis undoubtedly accounts for te observations of Betts & Bokari 2) and also numerical simulations of te natural convection cannel flow 3) were te centerline Reynolds stress is quite significant. It also represents an important difference from te natural convection boundary layer next to a vertical surface in wic te Reynolds stress vanises at large distances from te wall. Recognition of tis difference is part of te purpose of tis paper. And it raises interesting questions about wy some recent LES simulations of low aspect ratio cannels seem to suggest tat te Reynolds sear stress vanises even in cannels e.g., 6)). uv + ν U y + y 0 gβt T re f )dy = ν U y uv 4) y=0 y=0 We can use te wall sear stress, τ w, to define te friction velocity, u by: u 2 = τ w /ρ = ν U y 5) y=0 Also, te kinematic boundary condition at te wall implies: uv = 0. 6) y=0 Using tese conditions and coosing te reference point for te temperature to be te centerline, say T CL, equation 4 can be rewritten as: u 2 ν U ) uv = y y= y= 0 gβt T CL )dy 7) Clearly as first noted by George and Capp 1), unlike forced flow, natural convection flow does not ave a constant stress layer because of te buoyancy term in te momentum equation. Tus INNER AND OUTER SCALING Te Temperature Profile George and Capp 1) argued tat natural convection cannel flow at ig turbulence Reynolds numbers sould in fact be viewed as a classical inner-outer problem, wit viscosity and termal conductivity dominating te inner or near wall) layer but aving no effect on te core region. A direct consequence of tis is tat te viscous and conduction terms in te equations above are negligible in te core region. By contrast, te combination gβ, and te kinematic eat flux, F o, were important everywere. Tus te very near wall region could be completely caracterized by gβ, F o, α and ν. Note tat equation of te near wall region do not really know about te cannel widt,, nor do tey know te net temperature difference T w = T w T cl since at least a small part of it occurs across te outer layer) 1 Te core region in te limit of infinite Reynolds number, by contrast, knows only about te cannel widt,, gβ, and 1 Te coice of inner scales is actually quite problematical. It can be argued tat T w sould be included, since it occurs explicitly in te momentum equation at te wall. Or it migt be argued tat since te temperature and eat flux determine a lengt scale, tese sould be included and gβ ignored c.f. Wosnik and George 7), Wosnik et al. 8). Unfortunately tis does not seem to lead to te expected eat transfer law, peraps because T w and F o are not independent parameters, one being determined if te oter is specified. Hence we ave opted erein for te original George & Capp 1) formulation. 3 Copyrigt c 2008 by ASME

4 F o, te latter because of te constancy of te kinematic eat flux across te flow. It followed immediately on dimensional grounds tat te only coice for an outer temperature scale was T o = gβf o ) 1/3. And on similar grounds, te inner temperature scale was cosen to be T i = Fo 3/4 /gβα) 1/4 altoug ν could ave been used instead of α, implying a residual Prandtl number dependence of te inner layer). Te obvious coice of lengt scale for te core region was te cannel alf-widt,, wile te inner lengt scale was cosen on dimensional grounds as η It = [α 3 /gβf o )] 1/4. Note tat te latter could ave equally been cosen as η Iv = [ν 3 /gβf o )] 1/4, but α was preferred on experimental grounds since it varies wit ν in gases, and as significantly less dependence on temperature in liquids. A major contribution of George & Capp 1) was te recognition tat tere must exist a layer in between te inner and outer layers, te so-called buoyant sublayer, in wic bot te termal diffusivity and kinematic viscosity could be ignored, as well as te outer lengt scale,. It follows on dimensional grounds alone tat dt /dy [Fo 2/3 /gβ) 1/3 ]y 4/3. Tis layer was presumed to lie between te molecular viscosity/diffusivity dominated region very close to te wall te viscous and conductive sublayers respectively) and te peak in te mean velocity profile. Integration across te inner layer leads immediately to two equivalent forms for te temperature in te buoyant sublayer, one in inner variables and one in outer variables, bot of wic are equally valid if te wole idea of te overlap region is sound. For te inner profile te result is: [ ] T T w y 1/3 = K 2 + APr) 9) T It η It were te Prandtl number dependent additive constant reflects te Prandtl number dependence of te inner layer. By contrast, integration from te centerline yields te same profile in outer variables as: η It = η Iv = [ gβfo 4 α 3 [ gβfo 4 were H and G are defined respectively by: ν 3 ] 1/4 = H 1/4 11) ] 1/4 = Gr 1/4 12) H = gβf o 4 α 3 13) Gr = gβf o 4 ν 3 14) Tus unlike forced boundary layers were te local Reynolds number δ + = u δ/ν is te ratio of lengt scales, ere it is te 1/4-root of H or te corresponding Raleig, Ra or Grasof, Gr, numbers). Many ave concluded tat values of H of order 10 6 are sufficient to acieve an asymptotic state, but in fact it is clear from equations 11 and 12 tat muc iger values of tese are necessary to acieve even a modest separation of scales. E.g., typically /η It or /η Iv greater tan 10 would be considered to be an absolute minimum for any asymptotic teory to even begin to be valid.) Unfortunately tere is very little experimental data and no DNS data satisfying tese conditions; in fact, recent attempts ave typically been /η It < 10 and sometimes even as low as 3-4 e.g., refs. 2; 3)). So in spite of te advances of experimental and computational tecniques over te past few decades, tere as been to te best of our knowledge) virtually noting to contribute to our understanding of a ig H- number buoyant sublayer, or te applicability of te teoretical deductions from it. Te Heat Transfer Law An immediate consequence from matcing equations 9 and 10 is tat te asymptotic eat transfer law given by: T T CL T o = K 2 [ y ] 1/3 + A1 10) were A 1 is expected to be universal, or at most dependent on te nature of te core flow i.e., coerent versus incoerent motions). Suc a buoyant sublayer region can be expected to exist only wen tere exists a region for wic y << and simultaneously y >> η It and y >> η Iv. Tus a necessary condition for te existence of a buoyant sublayer is tat te ratio of inner to outer lengt scales be muc greater tan unity; i.e., H 1/4 >> 1 since: Gr 1/4 >> 1 and Nu 1 H 1/4 = APr) + A 1 H 1/12 15) So te corresponding eat transfer law is given by: Nu = APr)H 1/4 + A 1 H 1/6 16) Clearly APr) < 0 is te only pysically realistic possibility. In te limit as H, te first term dominates so te asymptotic eat transfer law is given by: 4 Copyrigt c 2008 by ASME

5 Nu = APr)H 1/4 17) But tis sould only be expected for very large H ; i.e., wen H 1/6 >> 1 H > 10 8 or greater), because of te 1/6t root dependence of te additive term. Note tat te eat transfer law could equally well be rewritten in te more familiar form as: Nu = [ APr)] 4/3 H 1/3 18) were H is defined using te temperature difference T w as: H = gβ T w 3 α 2 19) Te eat transfer result of George & Capp 1) was particularly significant, since it accorded wit te long-standing observation of Arpaci and oters tat te eat transfer in cannels appeared to be independent of te cannel widt Note te same factor of on bot sides of equations 18 and 19.) Te sligtly varying values of te coefficient can probably be attributed to te absence of data at ig enoug values of H, and fitting te eat transfer law witout te extra H 1/6 term. Surprisingly tere seems to ave been little effort over te past few decades to relate te parameters in tese equations to te actual temperature profiles as te teory suggests. Peraps tis is because of te concentration of effort on relatively low H-number flows. THE MEAN VELOCITY PROFILE Te Problematical George & Capp Inner Scaling Te second major point of tis paper is tat te George & Capp 1) analysis of te mean velocity profile for te inner region is incorrect. Wile te results for te temperature and eat transfer laws above ave been reasonably well-received by te researc community recent low H-number experiments and DNS notwitstanding), te George & Capp 1) results for te mean velocity profile ave always been problematical. First te mean velocity near te wall does not seem to scale very universally wit teir proposed inner velocity scale, gβf o α) 1/4. Second te predicted cube root region corresponding to te buoyant sublayer does not seem to be te best fit to te data. First let us note tat almost all recent investigations including DNS and LES) conclude tat it is te friction velocity, u, and te corresponding viscous lengt scale, ν/u, wic correctly scales te velocity profile closest to te wall. In fact, tis is not a conclusion but a necessity. Since u is defined from te wall sear stress, wic is turn proportional to te mean velocity gradient at te wall, te only way scaling te mean velocity profile tere wit u and ν would NOT work is if te experiments or computations were incorrect. 2 So if scaling by u and ν is not te rigt question, wat is? Te real problem is ow to relate tese parameters to te remaining parameters of te flow! In oter words, wat is te friction law in terms of te boundary conditions and parameters of te problem? Clearly te friction law proposed by George & Capp 1) is incorrect, at least based on te data, and in fact in principle as well. Tis can be demonstrated using te momentum integral equation 7 as sown below. First split te temperature integral in te buoyant sublayer in inner variables at y/η It = A so it can be written in two parts as: u 2 ν U ) A uv = gβt It η It y y= y= + gβt o 0 1 Aη/ T T w d y T It η It gβ T T CL d y T o 20) In te limit as H, te two integrals are simply numbers, say I and II. Moreover, from te definitions above it follows tat T It η It = gβf o α) 1/2 = u 2 I and T o = gβf o ) 2/3 = u 2 o, wic are in fact just te squares of te inner and outer velocity scales proposed by George & Capp 1). Tus te integral of equation 20 can be rewritten as: u 2 ν U ) uv = I u 2 IGC + II u 2 ogc 21) y y= y= Dividing by u 2 IGC and using te definitions yields te friction law as: u 2 u 2 IGC 1 u 2 ν U ) { } uv = I + II H 1/6 IGC y y= y= 22) But te rigt-and side blows up in te limit as H. Tus regardless of te problems presented by te second term on te rigt-and-side, te George & Capp 1) coice of an inner scaling velocity is clearly not correct. In particular te dominant 2 Te same observation can be made for te mean temperature profile near te wall as well: it must by definition collapse wen normalized using T w if te lengt scale is defined as α T w /F o. So collapse in tese variables only implies tat te experimental measurements or computations are correct in tis region. 5 Copyrigt c 2008 by ASME

6 contribution to momentum integral is not near te wall, but far from te wall. Hence te velocity near te wall is not a consequence primarily of te local buoyancy tere, but is in fact largely a flow driven from te outside by te effects of buoyancy tere. Tis is actually somewat counterintuitive, because almost all of te temperature profile occurs near te wall; but it is te residual outer temperature profile tat dominates te integral because of te muc greater distance over wic it must be integrated. 3 Te Friction Law In fact it appears tat te proper coice for an inner scaling velocity parameter sould ave been te outer scaling velocity, at least in te limit as H and including te extra terms from te centerline. To see tis, divide equation 21 by u 2 o = gβf o ) 2/3 to obtain: u 2 u 2 1 o u 2 ν U ) { uv = o y y= y= I H 1/6 } + II 23) It is easy to see tat tis indeed slowly approaces a constant, II, in te limit as H. Tus, as noted above te friction is primarily determined by te outer velocity scaling, and te inner velocity would be properly cosen proportional to it. Implications for Te Velocity Profile In Te Buoyant Sublayer Tus it appears tat at least in te limit as H, te inner and outer velocity scales are te same; i.e., u gβf o ) 1/3. It is well-known c.f., George and Castillo 9)) tat if te inner and outer velocity scales are te same, an immediate consequence is tat te mean velocity profile in te overlap region must be logaritmic. Tus an immediate and somewat surprising) conclusion of te above is tat te mean velocity profile in te overlap region sould vary logaritmically. Tus in inner variables: U = K 1 ln yu + BPr) 24) u ν were B 1 sould be universal only if te coerent structures of te core region are te same. Clearly tis sould be a matter for investigation. Note tat it migt be tempting to associate K 1 wit te usual von Karman parameter, 1/κ. As noted by George 10), tere is really no reason to believe tis parameter to be te same for different flows, and most certainly not for tis one for wic te constant stress layer does not exist. SUMMARY AND CONCLUSION A new teory as been proposed for te velocity profiles of a turbulent natural convection boundary layer in a differentially eated vertical cannel. Te mean velocity and temperature scaling parameters for inner and outer region of te flow ave been derived using local similarity solutions at te limit of infinite local H-number. Te inner and outer scaling parameters for te mean temperature profile is te same as suggested by George & Capp 1), as is te outer scale for te mean velocity. Te inner velocity scale and friction law, owever, are quite different. In particular bot te inner and outer velocity scales are te same in te limit; and given in te limit of infinite H by u gβf o ) 1/3. An immediate consequence is tat te mean velocity profile in te buoyant sublayer is logaritmic. Te sear stress is primarily determined by te buoyancy integral and te value of te total stress at te centerline, neiter of wic can be assumed to be zero. Te latter represents a significant difference between cannel flow and te natural convection boundary layer next to a vertical surface, and opens te possibility for te dependence of te flow on te nature of te turbulence in te core region; i.e., coerent structures versus incoerent motions. ACKNOWLEDGMENT Te autors would like to acknowledge te support of Vetenskapsrådet te Swedis Researc Foundation). In addition, WKG would like to express is gratitude to Professor Martin Wosnik of te University of New Hampsire for many elpful discussions over te past 15 years. were BPr) may vary from fluid to fluid. In outer variables, te corresponding mean velocity profile would be: U gβf o ) 1/3 = u { gβf o ) 1/3 K 1 ln y } + B 1 25) 3 Interestingly, te George & Capp 1) mistake is similar to tat often made for forced boundary layers were it is argued tat most of te energy dissipation is near te wall, wen in fact te opposite is true. Even toug indeed te peak in te dissipation is very near te wall, te integral of te dissipation is dominated by te overlap region and outer flow. REFERENCES [1] George, W. K. J., and Capp, S. P., A teory for natural convection turbulent boundary layers next to eated vertical surfaces.. International Journal of Heat and Mass Transfer, 226), June, pp [2] Betts, P., and Bokari, I., Experiments on turbulent natural convection in an enclosed tall cavity. International Journal of Heat and Fluid Flow, 216), pp [3] Versteeg, T., and Nieuwstadt, F., Turbulent budgets of natural convection in an infinite, differentially eated, 6 Copyrigt c 2008 by ASME

7 vertical cannel. International Journal of Heat and Fluid Flow, 192), pp [4] Versteeg, T., and Nieuwstadt, F., A direct numerical simulation of natural convection between two infinite vertical differentially eated walls scaling laws and wall functions. International Journal of Heat and Mass Transfer, 4219), pp [5] Ince, N., and Launder, B., On te computation of buoyancy-driven turbulent flows in rectangular enclosures. International Journal of Heat and Fluid Flow, 102), pp [6] Baragi, D., and Davidson, Natural convention boundary layer in a 5:1 cavity. Pysics of Fluids, 1912), p [7] Wosnik, M., and George, W. K., Anoter look at te turbulent natural convection boundary layer next to eated vertical surfaces. In Int. Symp. of Turb. Heat and Mass Transfer, Vol. 1, pp [8] Wosnik, M., Castillo, L., and George, W., A teory for turbulent pipe and cannel flows. Journal of Fluid Mecanics, 421, pp [9] George, W. K., and Castillo, L., Zero-pressuregradient turbulent boundary layer. Applied Mecanics Reviews, 5012 pt 1), pp [10] George, W. K., Is tere a universal log law for turbulent wall-bounded flows?. Pilosopical Transactions of te Royal Society London, Series A Matematical, Pysical and Engineering Sciences), ), p Copyrigt c 2008 by ASME

Effects of Radiation on Unsteady Couette Flow between Two Vertical Parallel Plates with Ramped Wall Temperature

Effects of Radiation on Unsteady Couette Flow between Two Vertical Parallel Plates with Ramped Wall Temperature Volume 39 No. February 01 Effects of Radiation on Unsteady Couette Flow between Two Vertical Parallel Plates wit Ramped Wall Temperature S. Das Department of Matematics University of Gour Banga Malda 73

More information

A = h w (1) Error Analysis Physics 141

A = h w (1) Error Analysis Physics 141 Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.

More information

Exam in Fluid Mechanics SG2214

Exam in Fluid Mechanics SG2214 Exam in Fluid Mecanics G2214 Final exam for te course G2214 23/10 2008 Examiner: Anders Dalkild Te point value of eac question is given in parentesis and you need more tan 20 points to pass te course including

More information

CFD calculation of convective heat transfer coefficients and validation Part I: Laminar flow Neale, A.; Derome, D.; Blocken, B.; Carmeliet, J.E.

CFD calculation of convective heat transfer coefficients and validation Part I: Laminar flow Neale, A.; Derome, D.; Blocken, B.; Carmeliet, J.E. CFD calculation of convective eat transfer coefficients and validation Part I: Laminar flow Neale, A.; Derome, D.; Blocken, B.; Carmeliet, J.E. Publised in: IEA Annex 41 working meeting, Kyoto, Japan Publised:

More information

Derivation Of The Schwarzschild Radius Without General Relativity

Derivation Of The Schwarzschild Radius Without General Relativity Derivation Of Te Scwarzscild Radius Witout General Relativity In tis paper I present an alternative metod of deriving te Scwarzscild radius of a black ole. Te metod uses tree of te Planck units formulas:

More information

A Reconsideration of Matter Waves

A Reconsideration of Matter Waves A Reconsideration of Matter Waves by Roger Ellman Abstract Matter waves were discovered in te early 20t century from teir wavelengt, predicted by DeBroglie, Planck's constant divided by te particle's momentum,

More information

Distribution of reynolds shear stress in steady and unsteady flows

Distribution of reynolds shear stress in steady and unsteady flows University of Wollongong Researc Online Faculty of Engineering and Information Sciences - Papers: Part A Faculty of Engineering and Information Sciences 13 Distribution of reynolds sear stress in steady

More information

How to Find the Derivative of a Function: Calculus 1

How to Find the Derivative of a Function: Calculus 1 Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te

More information

Velocity distribution in non-uniform/unsteady flows and the validity of log law

Velocity distribution in non-uniform/unsteady flows and the validity of log law University of Wollongong Researc Online Faculty of Engineering and Information Sciences - Papers: Part A Faculty of Engineering and Information Sciences 3 Velocity distribution in non-uniform/unsteady

More information

Why gravity is not an entropic force

Why gravity is not an entropic force Wy gravity is not an entropic force San Gao Unit for History and Pilosopy of Science & Centre for Time, SOPHI, University of Sydney Email: sgao7319@uni.sydney.edu.au Te remarkable connections between gravity

More information

3. Using your answers to the two previous questions, evaluate the Mratio

3. Using your answers to the two previous questions, evaluate the Mratio MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING CAMBRIDGE, MASSACHUSETTS 0219 2.002 MECHANICS AND MATERIALS II HOMEWORK NO. 4 Distributed: Friday, April 2, 2004 Due: Friday,

More information

Development of new and validation of existing convection correlations for rooms with displacement ventilation systems

Development of new and validation of existing convection correlations for rooms with displacement ventilation systems Energy and Buildings 38 (2006) 163 173 www.elsevier.com/locate/enbuild Development of new and validation of existing convection correlations for rooms wit displacement ventilation systems Atila Novoselac

More information

lecture 26: Richardson extrapolation

lecture 26: Richardson extrapolation 43 lecture 26: Ricardson extrapolation 35 Ricardson extrapolation, Romberg integration Trougout numerical analysis, one encounters procedures tat apply some simple approximation (eg, linear interpolation)

More information

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12. Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But

More information

CFD calculation of convective heat transfer coefficients and validation Part I: Laminar flow. Annex 41 Kyoto, April 3 rd to 5 th, 2006

CFD calculation of convective heat transfer coefficients and validation Part I: Laminar flow. Annex 41 Kyoto, April 3 rd to 5 th, 2006 CFD calculation of convective eat transfer coefficients and validation Part I: Laminar flow Annex 41 Kyoto, April 3 rd to 5 t, 2006 Adam Neale 1, Dominique Derome 1, Bert Blocken 2 and Jan Carmeliet 2,3

More information

A Modified Distributed Lagrange Multiplier/Fictitious Domain Method for Particulate Flows with Collisions

A Modified Distributed Lagrange Multiplier/Fictitious Domain Method for Particulate Flows with Collisions A Modified Distributed Lagrange Multiplier/Fictitious Domain Metod for Particulate Flows wit Collisions P. Sing Department of Mecanical Engineering New Jersey Institute of Tecnology University Heigts Newark,

More information

Problem Solving. Problem Solving Process

Problem Solving. Problem Solving Process Problem Solving One of te primary tasks for engineers is often solving problems. It is wat tey are, or sould be, good at. Solving engineering problems requires more tan just learning new terms, ideas and

More information

The entransy dissipation minimization principle under given heat duty and heat transfer area conditions

The entransy dissipation minimization principle under given heat duty and heat transfer area conditions Article Engineering Termopysics July 2011 Vol.56 No.19: 2071 2076 doi: 10.1007/s11434-010-4189-x SPECIAL TOPICS: Te entransy dissipation minimization principle under given eat duty and eat transfer area

More information

Large eddy simulation of turbulent flow downstream of a backward-facing step

Large eddy simulation of turbulent flow downstream of a backward-facing step Available online at www.sciencedirect.com Procedia Engineering 31 (01) 16 International Conference on Advances in Computational Modeling and Simulation Large eddy simulation of turbulent flow downstream

More information

The Basics of Vacuum Technology

The Basics of Vacuum Technology Te Basics of Vacuum Tecnology Grolik Benno, Kopp Joacim January 2, 2003 Basics Many scientific and industrial processes are so sensitive tat is is necessary to omit te disturbing influence of air. For

More information

The Laplace equation, cylindrically or spherically symmetric case

The Laplace equation, cylindrically or spherically symmetric case Numerisce Metoden II, 7 4, und Übungen, 7 5 Course Notes, Summer Term 7 Some material and exercises Te Laplace equation, cylindrically or sperically symmetric case Electric and gravitational potential,

More information

Simulation and verification of a plate heat exchanger with a built-in tap water accumulator

Simulation and verification of a plate heat exchanger with a built-in tap water accumulator Simulation and verification of a plate eat excanger wit a built-in tap water accumulator Anders Eriksson Abstract In order to test and verify a compact brazed eat excanger (CBE wit a built-in accumulation

More information

2.8 The Derivative as a Function

2.8 The Derivative as a Function .8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open

More information

Solution for the Homework 4

Solution for the Homework 4 Solution for te Homework 4 Problem 6.5: In tis section we computed te single-particle translational partition function, tr, by summing over all definite-energy wavefunctions. An alternative approac, owever,

More information

6. Non-uniform bending

6. Non-uniform bending . Non-uniform bending Introduction Definition A non-uniform bending is te case were te cross-section is not only bent but also seared. It is known from te statics tat in suc a case, te bending moment in

More information

Desalination by vacuum membrane distillation: sensitivity analysis

Desalination by vacuum membrane distillation: sensitivity analysis Separation and Purification Tecnology 33 (2003) 75/87 www.elsevier.com/locate/seppur Desalination by vacuum membrane distillation: sensitivity analysis Fawzi Banat *, Fami Abu Al-Rub, Kalid Bani-Melem

More information

Week #15 - Word Problems & Differential Equations Section 8.2

Week #15 - Word Problems & Differential Equations Section 8.2 Week #1 - Word Problems & Differential Equations Section 8. From Calculus, Single Variable by Huges-Hallett, Gleason, McCallum et. al. Copyrigt 00 by Jon Wiley & Sons, Inc. Tis material is used by permission

More information

Heat Transfer/Heat Exchanger

Heat Transfer/Heat Exchanger Heat ransfer/heat Excanger How is te eat transfer? Mecanism of Convection Applications. Mean fluid Velocity and Boundary and teir effect on te rate of eat transfer. Fundamental equation of eat transfer

More information

The derivative function

The derivative function Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative

More information

Simulations of the turbulent channel flow at Re τ = 180 with projection-based finite element variational multiscale methods

Simulations of the turbulent channel flow at Re τ = 180 with projection-based finite element variational multiscale methods INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Numer. Met. Fluids 7; 55:47 49 Publised online 4 Marc 7 in Wiley InterScience (www.interscience.wiley.com). DOI:./fld.46 Simulations of te

More information

Excluded Volume Effects in Gene Stretching. Pui-Man Lam Physics Department, Southern University Baton Rouge, Louisiana

Excluded Volume Effects in Gene Stretching. Pui-Man Lam Physics Department, Southern University Baton Rouge, Louisiana Excluded Volume Effects in Gene Stretcing Pui-Man Lam Pysics Department, Soutern University Baton Rouge, Louisiana 7083 Abstract We investigate te effects excluded volume on te stretcing of a single DNA

More information

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx. Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions

More information

Grade: 11 International Physics Olympiad Qualifier Set: 2

Grade: 11 International Physics Olympiad Qualifier Set: 2 Grade: 11 International Pysics Olympiad Qualifier Set: 2 --------------------------------------------------------------------------------------------------------------- Max Marks: 60 Test ID: 12111 Time

More information

6.2 Governing Equations for Natural Convection

6.2 Governing Equations for Natural Convection 6. Governing Equations for Natural Convection 6..1 Generalized Governing Equations The governing equations for natural convection are special cases of the generalized governing equations that were discussed

More information

Atm S 547 Boundary Layer Meteorology

Atm S 547 Boundary Layer Meteorology Lecture 9. Nonlocal BL parameterizations for clear unstable boundary layers In tis lecture Nonlocal K-profile parameterization (e. g. WRF-YSU) for dry convective BLs EDMF parameterizations (e. g. ECMWF)

More information

GRID CONVERGENCE ERROR ANALYSIS FOR MIXED-ORDER NUMERICAL SCHEMES

GRID CONVERGENCE ERROR ANALYSIS FOR MIXED-ORDER NUMERICAL SCHEMES GRID CONVERGENCE ERROR ANALYSIS FOR MIXED-ORDER NUMERICAL SCHEMES Cristoper J. Roy Sandia National Laboratories* P. O. Box 5800, MS 085 Albuquerque, NM 8785-085 AIAA Paper 00-606 Abstract New developments

More information

Jian-Guo Liu 1 and Chi-Wang Shu 2

Jian-Guo Liu 1 and Chi-Wang Shu 2 Journal of Computational Pysics 60, 577 596 (000) doi:0.006/jcp.000.6475, available online at ttp://www.idealibrary.com on Jian-Guo Liu and Ci-Wang Su Institute for Pysical Science and Tecnology and Department

More information

SUMMARY OF CONVECTION CORRELATION EQUATIONS. ME 353 Heat Transfer 1. University ofwaterloo

SUMMARY OF CONVECTION CORRELATION EQUATIONS. ME 353 Heat Transfer 1. University ofwaterloo SUMMARY.TEX SUMMARY OF CONVECTION CORREATION EQUATIONS ME 353 Heat Transfer 1 Department of Mecanical Engineering University ofwaterloo M.M. Yovanovic November 10, 1997 Te attaced material is a summary

More information

Work and Energy. Introduction. Work. PHY energy - J. Hedberg

Work and Energy. Introduction. Work. PHY energy - J. Hedberg Work and Energy PHY 207 - energy - J. Hedberg - 2017 1. Introduction 2. Work 3. Kinetic Energy 4. Potential Energy 5. Conservation of Mecanical Energy 6. Ex: Te Loop te Loop 7. Conservative and Non-conservative

More information

Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Exchanger using Tangential Entry of Fluid

Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Exchanger using Tangential Entry of Fluid ISR Journal of Mecanical & Civil Engineering (ISRJMCE) e-issn: 2278-1684,p-ISSN: 2320-334X PP 29-34 www.iosrjournals.org Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Excanger

More information

Calculus I Practice Exam 1A

Calculus I Practice Exam 1A Calculus I Practice Exam A Calculus I Practice Exam A Tis practice exam empasizes conceptual connections and understanding to a greater degree tan te exams tat are usually administered in introductory

More information

Model development for the beveling of quartz crystal blanks

Model development for the beveling of quartz crystal blanks 9t International Congress on Modelling and Simulation, Pert, Australia, 6 December 0 ttp://mssanz.org.au/modsim0 Model development for te beveling of quartz crystal blanks C. Dong a a Department of Mecanical

More information

Chapter 7: Natural Convection

Chapter 7: Natural Convection 7-1 Introduction 7- The Grashof Number 7-3 Natural Convection over Surfaces 7-4 Natural Convection Inside Enclosures 7-5 Similarity Solution 7-6 Integral Method 7-7 Combined Natural and Forced Convection

More information

AN ANALYSIS OF AMPLITUDE AND PERIOD OF ALTERNATING ICE LOADS ON CONICAL STRUCTURES

AN ANALYSIS OF AMPLITUDE AND PERIOD OF ALTERNATING ICE LOADS ON CONICAL STRUCTURES Ice in te Environment: Proceedings of te 1t IAHR International Symposium on Ice Dunedin, New Zealand, nd t December International Association of Hydraulic Engineering and Researc AN ANALYSIS OF AMPLITUDE

More information

Quantum Mechanics Chapter 1.5: An illustration using measurements of particle spin.

Quantum Mechanics Chapter 1.5: An illustration using measurements of particle spin. I Introduction. Quantum Mecanics Capter.5: An illustration using measurements of particle spin. Quantum mecanics is a teory of pysics tat as been very successful in explaining and predicting many pysical

More information

Chapter 5 FINITE DIFFERENCE METHOD (FDM)

Chapter 5 FINITE DIFFERENCE METHOD (FDM) MEE7 Computer Modeling Tecniques in Engineering Capter 5 FINITE DIFFERENCE METHOD (FDM) 5. Introduction to FDM Te finite difference tecniques are based upon approximations wic permit replacing differential

More information

NUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example,

NUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example, NUMERICAL DIFFERENTIATION James T Smit San Francisco State University In calculus classes, you compute derivatives algebraically: for example, f( x) = x + x f ( x) = x x Tis tecnique requires your knowing

More information

Summary of Dimensionless Numbers of Fluid Mechanics and Heat Transfer

Summary of Dimensionless Numbers of Fluid Mechanics and Heat Transfer 1. Nusselt number Summary of Dimensionless Numbers of Fluid Mechanics and Heat Transfer Average Nusselt number: convective heat transfer Nu L = conductive heat transfer = hl where L is the characteristic

More information

3.1 Extreme Values of a Function

3.1 Extreme Values of a Function .1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find

More information

Part 2: Introduction to Open-Channel Flow SPRING 2005

Part 2: Introduction to Open-Channel Flow SPRING 2005 Part : Introduction to Open-Cannel Flow SPRING 005. Te Froude number. Total ead and specific energy 3. Hydraulic jump. Te Froude Number Te main caracteristics of flows in open cannels are tat: tere is

More information

The Priestley-Chao Estimator

The Priestley-Chao Estimator Te Priestley-Cao Estimator In tis section we will consider te Pristley-Cao estimator of te unknown regression function. It is assumed tat we ave a sample of observations (Y i, x i ), i = 1,..., n wic are

More information

Study of Convective Heat Transfer through Micro Channels with Different Configurations

Study of Convective Heat Transfer through Micro Channels with Different Configurations International Journal of Current Engineering and Tecnology E-ISSN 2277 4106, P-ISSN 2347 5161 2016 INPRESSCO, All Rigts Reserved Available at ttp://inpressco.com/category/ijcet Researc Article Study of

More information

A First-Order System Approach for Diffusion Equation. I. Second-Order Residual-Distribution Schemes

A First-Order System Approach for Diffusion Equation. I. Second-Order Residual-Distribution Schemes A First-Order System Approac for Diffusion Equation. I. Second-Order Residual-Distribution Scemes Hiroaki Nisikawa W. M. Keck Foundation Laboratory for Computational Fluid Dynamics, Department of Aerospace

More information

HOMEWORK HELP 2 FOR MATH 151

HOMEWORK HELP 2 FOR MATH 151 HOMEWORK HELP 2 FOR MATH 151 Here we go; te second round of omework elp. If tere are oters you would like to see, let me know! 2.4, 43 and 44 At wat points are te functions f(x) and g(x) = xf(x)continuous,

More information

2.11 That s So Derivative

2.11 That s So Derivative 2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point

More information

232 Calculus and Structures

232 Calculus and Structures 3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE

More information

7.1 Using Antiderivatives to find Area

7.1 Using Antiderivatives to find Area 7.1 Using Antiderivatives to find Area Introduction finding te area under te grap of a nonnegative, continuous function f In tis section a formula is obtained for finding te area of te region bounded between

More information

Notes on wavefunctions II: momentum wavefunctions

Notes on wavefunctions II: momentum wavefunctions Notes on wavefunctions II: momentum wavefunctions and uncertainty Te state of a particle at any time is described by a wavefunction ψ(x). Tese wavefunction must cange wit time, since we know tat particles

More information

Theoretical Analysis of Flow Characteristics and Bearing Load for Mass-produced External Gear Pump

Theoretical Analysis of Flow Characteristics and Bearing Load for Mass-produced External Gear Pump TECHNICAL PAPE Teoretical Analysis of Flow Caracteristics and Bearing Load for Mass-produced External Gear Pump N. YOSHIDA Tis paper presents teoretical equations for calculating pump flow rate and bearing

More information

arxiv: v3 [math.na] 15 Dec 2009

arxiv: v3 [math.na] 15 Dec 2009 THE NAVIER-STOKES-VOIGHT MODEL FOR IMAGE INPAINTING M.A. EBRAHIMI, MICHAEL HOLST, AND EVELYN LUNASIN arxiv:91.4548v3 [mat.na] 15 Dec 9 ABSTRACT. In tis paper we investigate te use of te D Navier-Stokes-Voigt

More information

Graviton Induced Nuclear Fission through Electromagnetic Wave Flux Phil Russell, * Jerry Montgomery

Graviton Induced Nuclear Fission through Electromagnetic Wave Flux Phil Russell, * Jerry Montgomery Graviton Induced Nuclear Fission troug Electromagnetic Wave Flux Pil Russell, * Jerry Montgomery Nort Carolina Central University, Duram, NC 27707 Willowstick Tecnologies LLC, Draper, UT 84020 (Dated:

More information

Continuity and Differentiability Worksheet

Continuity and Differentiability Worksheet Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;

More information

Chapter 2 Ising Model for Ferromagnetism

Chapter 2 Ising Model for Ferromagnetism Capter Ising Model for Ferromagnetism Abstract Tis capter presents te Ising model for ferromagnetism, wic is a standard simple model of a pase transition. Using te approximation of mean-field teory, te

More information

Chapters 19 & 20 Heat and the First Law of Thermodynamics

Chapters 19 & 20 Heat and the First Law of Thermodynamics Capters 19 & 20 Heat and te First Law of Termodynamics Te Zerot Law of Termodynamics Te First Law of Termodynamics Termal Processes Te Second Law of Termodynamics Heat Engines and te Carnot Cycle Refrigerators,

More information

SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY

SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY (Section 3.2: Derivative Functions and Differentiability) 3.2.1 SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY LEARNING OBJECTIVES Know, understand, and apply te Limit Definition of te Derivative

More information

The Laws of Thermodynamics

The Laws of Thermodynamics 1 Te Laws of Termodynamics CLICKER QUESTIONS Question J.01 Description: Relating termodynamic processes to PV curves: isobar. Question A quantity of ideal gas undergoes a termodynamic process. Wic curve

More information

Quantum Theory of the Atomic Nucleus

Quantum Theory of the Atomic Nucleus G. Gamow, ZP, 51, 204 1928 Quantum Teory of te tomic Nucleus G. Gamow (Received 1928) It as often been suggested tat non Coulomb attractive forces play a very important role inside atomic nuclei. We can

More information

Math 34A Practice Final Solutions Fall 2007

Math 34A Practice Final Solutions Fall 2007 Mat 34A Practice Final Solutions Fall 007 Problem Find te derivatives of te following functions:. f(x) = 3x + e 3x. f(x) = x + x 3. f(x) = (x + a) 4. Is te function 3t 4t t 3 increasing or decreasing wen

More information

ON THE HEIGHT OF MAXIMUM SPEED-UP IN ATMOSPHERIC BOUNDARY LAYERS OVER LOW HILLS

ON THE HEIGHT OF MAXIMUM SPEED-UP IN ATMOSPHERIC BOUNDARY LAYERS OVER LOW HILLS ON THE HEIGHT OF MAXIMUM SPEED-UP IN ATMOSPHERIC BOUNDARY LAYERS OVER LOW HILLS Cláudio C. Pellegrini FUNREI Departamento de Ciências Térmicas e dos Fluidos Praça Frei Orlando 17, São João del-rei, MG,

More information

5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems

5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems 5 Ordinary Differential Equations: Finite Difference Metods for Boundary Problems Read sections 10.1, 10.2, 10.4 Review questions 10.1 10.4, 10.8 10.9, 10.13 5.1 Introduction In te previous capters we

More information

Lecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines

Lecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines Lecture 5 Interpolation II Introduction In te previous lecture we focused primarily on polynomial interpolation of a set of n points. A difficulty we observed is tat wen n is large, our polynomial as to

More information

Continuous Stochastic Processes

Continuous Stochastic Processes Continuous Stocastic Processes Te term stocastic is often applied to penomena tat vary in time, wile te word random is reserved for penomena tat vary in space. Apart from tis distinction, te modelling

More information

Dedicated to the 70th birthday of Professor Lin Qun

Dedicated to the 70th birthday of Professor Lin Qun Journal of Computational Matematics, Vol.4, No.3, 6, 4 44. ACCELERATION METHODS OF NONLINEAR ITERATION FOR NONLINEAR PARABOLIC EQUATIONS Guang-wei Yuan Xu-deng Hang Laboratory of Computational Pysics,

More information

Lecture 10: Carnot theorem

Lecture 10: Carnot theorem ecture 0: Carnot teorem Feb 7, 005 Equivalence of Kelvin and Clausius formulations ast time we learned tat te Second aw can be formulated in two ways. e Kelvin formulation: No process is possible wose

More information

Impact of Lightning Strikes on National Airspace System (NAS) Outages

Impact of Lightning Strikes on National Airspace System (NAS) Outages Impact of Ligtning Strikes on National Airspace System (NAS) Outages A Statistical Approac Aurélien Vidal University of California at Berkeley NEXTOR Berkeley, CA, USA aurelien.vidal@berkeley.edu Jasenka

More information

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed. Preface Here are my online notes for my course tat I teac ere at Lamar University. Despite te fact tat tese are my class notes, tey sould be accessible to anyone wanting to learn or needing a refreser

More information

Financial Econometrics Prof. Massimo Guidolin

Financial Econometrics Prof. Massimo Guidolin CLEFIN A.A. 2010/2011 Financial Econometrics Prof. Massimo Guidolin A Quick Review of Basic Estimation Metods 1. Were te OLS World Ends... Consider two time series 1: = { 1 2 } and 1: = { 1 2 }. At tis

More information

radiation damage 318 doi: /s J. Synchrotron Rad. (2005). 12, Introduction

radiation damage 318 doi: /s J. Synchrotron Rad. (2005). 12, Introduction Journal of Syncrotron Radiation ISSN 0909-0495 Received 3 Marc 2004 Accepted 5 January 2005 Tree-dimensional numerical analysis of convection and conduction cooling of sperical biocrystals wit localized

More information

. If lim. x 2 x 1. f(x+h) f(x)

. If lim. x 2 x 1. f(x+h) f(x) Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value

More information

Numerical analysis of a free piston problem

Numerical analysis of a free piston problem MATHEMATICAL COMMUNICATIONS 573 Mat. Commun., Vol. 15, No. 2, pp. 573-585 (2010) Numerical analysis of a free piston problem Boris Mua 1 and Zvonimir Tutek 1, 1 Department of Matematics, University of

More information

ch (for some fixed positive number c) reaching c

ch (for some fixed positive number c) reaching c GSTF Journal of Matematics Statistics and Operations Researc (JMSOR) Vol. No. September 05 DOI 0.60/s4086-05-000-z Nonlinear Piecewise-defined Difference Equations wit Reciprocal and Cubic Terms Ramadan

More information

Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals. Gary D. Simpson. rev 01 Aug 08, 2016.

Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals. Gary D. Simpson. rev 01 Aug 08, 2016. Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals Gary D. Simpson gsim1887@aol.com rev 1 Aug 8, 216 Summary Definitions are presented for "quaternion functions" of a quaternion. Polynomial

More information

Order of Accuracy. ũ h u Ch p, (1)

Order of Accuracy. ũ h u Ch p, (1) Order of Accuracy 1 Terminology We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, wic can be for instance te grid size or time step in a numerical

More information

Cubic Functions: Local Analysis

Cubic Functions: Local Analysis Cubic function cubing coefficient Capter 13 Cubic Functions: Local Analysis Input-Output Pairs, 378 Normalized Input-Output Rule, 380 Local I-O Rule Near, 382 Local Grap Near, 384 Types of Local Graps

More information

Quantum Numbers and Rules

Quantum Numbers and Rules OpenStax-CNX module: m42614 1 Quantum Numbers and Rules OpenStax College Tis work is produced by OpenStax-CNX and licensed under te Creative Commons Attribution License 3.0 Abstract Dene quantum number.

More information

(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a?

(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a? Solutions to Test 1 Fall 016 1pt 1. Te grap of a function f(x) is sown at rigt below. Part I. State te value of eac limit. If a limit is infinite, state weter it is or. If a limit does not exist (but is

More information

HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS

HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS Po-Ceng Cang National Standard Time & Frequency Lab., TL, Taiwan 1, Lane 551, Min-Tsu Road, Sec. 5, Yang-Mei, Taoyuan, Taiwan 36 Tel: 886 3

More information

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is Mat 180 www.timetodare.com Section.7 Derivatives and Rates of Cange Part II Section.8 Te Derivative as a Function Derivatives ( ) In te previous section we defined te slope of te tangent to a curve wit

More information

Copyright c 2008 Kevin Long

Copyright c 2008 Kevin Long Lecture 4 Numerical solution of initial value problems Te metods you ve learned so far ave obtained closed-form solutions to initial value problems. A closedform solution is an explicit algebriac formula

More information

On my honor as a student, I have neither given nor received unauthorized assistance on this exam.

On my honor as a student, I have neither given nor received unauthorized assistance on this exam. HW2 (Overview of Transport) (Print name above) On my onor as a student, I ave neiter given nor received unautorized assistance on tis exam. (sign name above) 1 Figure 1: Band-diagram before and after application

More information

Teaching Differentiation: A Rare Case for the Problem of the Slope of the Tangent Line

Teaching Differentiation: A Rare Case for the Problem of the Slope of the Tangent Line Teacing Differentiation: A Rare Case for te Problem of te Slope of te Tangent Line arxiv:1805.00343v1 [mat.ho] 29 Apr 2018 Roman Kvasov Department of Matematics University of Puerto Rico at Aguadilla Aguadilla,

More information

Convection. forced convection when the flow is caused by external means, such as by a fan, a pump, or atmospheric winds.

Convection. forced convection when the flow is caused by external means, such as by a fan, a pump, or atmospheric winds. Convection The convection heat transfer mode is comprised of two mechanisms. In addition to energy transfer due to random molecular motion (diffusion), energy is also transferred by the bulk, or macroscopic,

More information

arxiv: v1 [physics.flu-dyn] 3 Jun 2015

arxiv: v1 [physics.flu-dyn] 3 Jun 2015 A Convective-like Energy-Stable Open Boundary Condition for Simulations of Incompressible Flows arxiv:156.132v1 [pysics.flu-dyn] 3 Jun 215 S. Dong Center for Computational & Applied Matematics Department

More information

Comment on Experimental observations of saltwater up-coning

Comment on Experimental observations of saltwater up-coning 1 Comment on Experimental observations of saltwater up-coning H. Zang 1,, D.A. Barry 2 and G.C. Hocking 3 1 Griffit Scool of Engineering, Griffit University, Gold Coast Campus, QLD 4222, Australia. Tel.:

More information

LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION

LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y

More information

Volume 29, Issue 3. Existence of competitive equilibrium in economies with multi-member households

Volume 29, Issue 3. Existence of competitive equilibrium in economies with multi-member households Volume 29, Issue 3 Existence of competitive equilibrium in economies wit multi-member ouseolds Noriisa Sato Graduate Scool of Economics, Waseda University Abstract Tis paper focuses on te existence of

More information

Polynomial Interpolation

Polynomial Interpolation Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc

More information

Quantization of electrical conductance

Quantization of electrical conductance 1 Introduction Quantization of electrical conductance Te resistance of a wire in te classical Drude model of metal conduction is given by RR = ρρρρ AA, were ρρ, AA and ll are te conductivity of te material,

More information

Homework 1. Problem 1 Browse the 331 website to answer: When you should use data symbols on a graph. (Hint check out lab reports...

Homework 1. Problem 1 Browse the 331 website to answer: When you should use data symbols on a graph. (Hint check out lab reports... Homework 1 Problem 1 Browse te 331 website to answer: Wen you sould use data symbols on a grap. (Hint ceck out lab reports...) Solution 1 Use data symbols to sow data points unless tere is so muc data

More information

On the drag-out problem in liquid film theory

On the drag-out problem in liquid film theory J. Fluid Mec. (28), vol. 617, pp. 28 299. c 28 Cambridge University Press doi:1.117/s22112841x Printed in te United Kingdom 28 On te drag-out problem in liquid film teory E. S. BENILOV AND V. S. ZUBKOV

More information