V = Flow velocity, ft/sec

Size: px
Start display at page:

Download "V = Flow velocity, ft/sec"

Transcription

1 1 Drag Coefficient Preiction Chapter 1 The ieal force acting on a surface positione perpenicular to the airflow is equal to a ynamic pressure, enote by q, times the area of that surface. Dynamic pressure is one-half the square of the flow velocity times the ensity of the flui. In equation form this is: q = 1 ρ V ρ = Air ensity, lb.-sec / ft 4 V = Flow velocity, ft/sec Imagine putting your han or a flat plate out the winow of a car such that the flat surface is positione normal to the airflow. The total force require to hol it in position when meeting the oncoming airflow will be approximately equal to that efine above. Realistically, the actual force is epenent on the shape of the object, an the -imensional flow characteristics of the flui (i.e.; flow relief, turbulent an/or laminar flow, etc.. Often these influences are summe up in a single coefficient known as an aeroynamic coefficient. In our particular case, we are intereste in a rag force D, an likewise a rag coefficient C D. Depening on equation formulation an reference area, C D can take on ifferent values. For rockets, C D is typically base on the rocket s maximum cross-section area. Most rockets are circular in cross-section, therefore its cross-section area is escribe by the equation for an area of a circle. In general, the equation for rag D is given by: D = qc D A = qc πr D q = Dynamic pressure, lb. / ft CD = Drag coefficient A = Reference area, ft = πr π = Constant Pi R = Raius of maximum cross-section, ft Most of the equations presente in this chapter are empirically base (base on physical ata. The majority of the equations will be simply presente an not erive, particularly those escribing Friction Drag. Others, such as those escribing Base Drag an Wave Drag, will be erive as we go along. I believe that the source for the basis of most of these equations is the U.S Air Force methoology known as DATCOM (Reference 4. Many of these equations have been transcribe from han written notes that I ha use in my past career as an aircraft conceptual esigner with the U.S. Air Force, many moons ago. The graphs of these notes have been transforme to equations for ease of writing computer programs. I have eviate somewhat from the DATCOM methos for Base Drag estimation, an have evelope an approach that fits rocket ata more accurately. A constant K F equal to 1.04 has been aopte to estimate the Interference Drag contribution for rocket ata.

2 Before we get into the etails, it woul be wise to iscuss some terminology. Many public or commercially available rocket performance programs require the user to input a value of average rag coefficient C D. This is often a guess on the part of the user. However, more sophisticate programs attempt to preict the time history of rag, an hence, a more precise time history of the rocket s performance. These programs have their equations embee in the coe, an o not attempt to enlighten the user as to their egree of integrity or sophistication. For those of us who are of a nery an curious nature, this just oesn t meet our nees. In fact, some of you may wish to evelop your own custom software using the equations provie here. We will limit our iscussion to Zero Lift Drag or Parasite Drag, which is the total rocket rag inepenent of lift. This occurs at zero Angle of Attack for rockets. Angle of Attack refers to the angle of incience between any lifting component (wing, fin, boy, etc. an its velocity vector. Inuce Drag is that rag associate with the generation of lift. We will not be ealing with Inuce Drag. One of the largest contributors to Zero Lift Drag over Subsonic spees is Skin Friction Drag. Subsonic refers to flight spees well below the spee of soun. Skin Friction Drag is the rag resulting from viscous shearing stresses acting over the surface of the rocket. Form Drag or Pressure Drag is the rag on a boy resulting from the summation of the static pressure acting normal to the rocket s surfaces, resolve into the irection opposite of flight. Base Drag is a contributor to Pressure Drag, an is attribute to the blunt aft en of the rocket. Base Drag can be a significant contributor to the rocket s overall rag uring power-off flight (after engine burnout. Another contributor to Pressure Drag is Wave Drag. Wave Drag makes its ebut uring Transonic spees (about Mach 0.8 to Mach 1. an through Supersonic spees (above Mach 1.. Wave Drag is a Pressure Drag resulting from static pressure components locate to either sie of compression or shock waves that o not completely cancel each other. Finally, the last rag contributor we will consier is Interference Drag. Interference Drag results from two boies in close proximity, such as fin to boy junctures an launch lug to boy junctures. Specifically, we will account for the following rag contributors: Skin Friction Drag (Viscous Effects Base Drag (Pressure Drag increment ue to blunt boy uring power-off flight Wave Drag (Pressure Drag increment ue to compression or shock waves Interference Drag (Drag increment ue to boies in close proximity Below is a typical flight history of rag versus Mach number. Drag Coefficient, C Decelerate Flight Accelerate Flight Mach umber, M In the above graph the rocket accelerates from a stanstill on the launch pa to a maximum Mach umber of about 1.6 (118 mph!. This is epicte by the ashe curve. The rocket then begins to

3 ecelerate, still uner thrust flight, as epicte by the soli curve. Then at a Mach umber of about 1.5 (951 mph, the engine burn is complete an the rocket continues its eceleration uner zero thrust flight. At this point, the soli curve is isplace above the ashe curve, epicting a rag rise ue to Base Drag. This Base Drag is a result of transitioning from thrust flight to coast or zero thrust flight. The existence of thrust, or lack thereof, can have a significant effect on the rocket s rag coefficient for blunt aft boies, as in the case above. Both curves exhibit a jump in rag coefficient over the range of about Mach 0.9 to 1.. This is the characteristic transonic region where Wave Drag makes its ebut an may ominate. Again, the shape of the fin an aft boy region will have a significant effect on rag rise ue to Wave Drag. Wave Drag can be somewhat minimize by tailoring the shape of the fin an aft boy geometry using a technique calle Area Ruling. Although I have use Area Ruling in some of my transonic rocket esigns, its overall effect on the rocket s performance is minimal ue to the short time spent in transonic flight. For most projects, time spent in efforts such as Area Ruling woul yiel little return on investment. There exists a steep increase in rag coefficient as the Mach umber approaches zero. This rag rise is associate with small Reynols umbers. At very small Reynols umbers the momentum of the airflow about the rocket is insufficient to remain attache to its surface an maintain well-efine streamlines, hence the flow separates an becomes turbulent. The result is an increase in Friction Drag. The Reynols umber is the ratio of inertia forces to viscous forces as a vehicle penetrates flow. In mathematical form it is efine by, R e = ρv L µ ρ = Density of flui V = Free stream velocity of the flui about the vehicle L = Characteristic length of vehicle (rocket iameter µ = Absolute coefficient of viscosity Reynols umbers are commo nly use as scaling factors to approximate similar flow conitions in the laboratory (i.e., win tunnel testing for situations where it is ifficult to recreate actual flow about full scale boies. Mach umber is the ratio of the flui velocity to the spee-of-soun in that flui. The spee-ofsoun in a flui is the spee at which a pressure isturbance is propagate through the flui. In air, at Stanar Sea Level conitions, the spee of soun is about 76 mph or ft/s. If the flui velocity about an object is equal to the spee-of-soun of that flui, then the flui is sai to be travelling at Mach 1.0 relative to that object. Viscosity is a characteristic of a flui escribe by the flui s ability to resist shear. A flui having high viscosity will better resist eformation uner shear than a flui having low viscosity. Viscosity of a flui is often measure by applying a pure torque to the flui. If one were to integrate the prouct of shear stresses times the istance to the center of applie torque over the flui volume, the result woul be equal to the applie torque. Shear stress within a flui is proportional to the graient of the flui velocity acting normal to the shear plane. The constant of proportionality is known as the absolute coefficient of viscosity µ. For the case of the applie torque, we efine the shear stress as: u τ = µ r

4 4 µ = Flui coefficient of viscosity u = Differential of flui tangential velocity r = Differential of raial istance from torque center of application The Friction Drag previously mentione is irectly relate to the shear stresses in the flui. Without viscosity, there woul be no shear stres s an likewise no friction rag. 1.0 Friction Drag A given rocket s rag will not only be a function of Mach umber, but also altitue. As altitue changes, so oes the air viscosity, spee of soun an air ensity. Viscosity, ensity an spee of soun will play a role in the equations for rag as well as a strong epenence on Mach umber. 1.1 Boy Friction Drag The following equations can be solve in sequential orer to etermine the rocket s boy coefficient of rag ue to friction. a = Spee of soun, fps = 0.004h , if h 7000 ft = , if 7000 ft h ft = h , if h ft h = altitue, ft ν = Kinematic viscosity, ft /s ah b = e + a = an b = 0.0, For h feet a = an b = , For h 0000 feet a = an b = , For h 0000 feet Rn* = Compressible Reynols umber aml = ( M 0.04M M 1ν Cf * M = Mach umber L = total length of rocket, inches = Incompressible skin friction coefficient = Rn * M M 5 Cf = Compressible skin friction coefficient

5 5 4 = Cf *( M 0.181M M 0.009M M 5 Cf * ( term = Incompressible skin friction coefficient with roughness 1 =.5 L log 10 K K = 0.0, for smooth surface = to , for polishe metal or woo = , for natural sheet metal = , for smooth matte paint, carefully applie = to 0.001, for stanar camouflage paint Cf (term = Compressible skin friction coefficient with roughness Cf * ( term = ( M Cf ( final = Final skin friction coefficient = Cf, if Cf Cf (term = Cf (term, if Cf Cf (term C f (boy = Boy coefficient of rag ue to friction Equation = Cf ( final ( L / = maximum boy iameter L = total boy length S B = total wette surface area of boy 4S π B ( L / L 1. Fin Friction Drag The following equations can be solve in sequential orer to etermine the rocket s total fin coefficient of rag ue to friction. a = Spee of soun, as efine in Section 1.1- Boy Friction Drag

6 6 ν = Kinematic viscosity, as efine in Section 1.1 Boy Friction Drag Rn* = Compressible Reynols umber amc = r ( M 0.04M M 0.089M M 1ν Cf * M = Mach umber C r = Root chor of fin, inches = Incompressible skin friction coefficient = Rn * Cf Cf = Compressible skin friction coefficient 4 = Cf *( M 0.181M M 0.009M M * ( term = Incompressible skin friction coefficient with roughness 1 = C log 10 r K.5 5 K = 0.0, for smooth surface = to , for polishe metal or woo = , for natural sheet metal = , for smooth matte paint, carefully applie = to 0.001, for stanar camouflage paint Cf (term = Compressible skin friction coefficient with roughness Cf * ( term = ( M Cf ( final = Final skin friction coefficient = Cf, if Cf Cf (term = Cf (term, if Cf Cf (term Rn = Incompressible Reynols umber amc = r 1ν Ct λ = = Ratio of fin tip chor to root chor C r

7 7 Cfλ = Average flat plate skin friction coefficient for each fin panel = Cf ( final 1 + log (, if λ = Rn λ.6 [ log10( Rn ] log 10( Rnλ = Cf ( final ( λ log.6 [ ] [ log ( Rn ] λ [ ] [ ] ( Rnλ log 10( Rn C f ( fins = Coefficient of friction rag for all fins Equation 1. 1 = Cf λ t C r X t c t C r 4 f S π f t = Maximum thickness of each fin at root C r =Fin root chor X t c X t = c Cr = Distance from fin leaing ege to maximum thickness X t c = Fin tip chor f = umber of fins S f = Total wette area of each fin b ( C r + C t = Maximum iameter of rocket boy Ct C r t X t/c b/ C r C t

8 8 1. Protuberance Friction Drag Protuberances are components that are foun on the exterior of a vehicle. An example of a common protuberance for a rocket woul be a launch lug. The contribution of a protuberance to rag is often accounte for by its friction rag. Protuberances will also generate an incremental rag rise ue to the interaction of their pressure istributions an bounary layers with that of the host boy. This incremental rag rise is known as Interference Drag an is ifficult to preict. A etaile analysis of interference rag is beyon the scope of this text. The following equations can be solve in sequential orer to etermine the coefficient of rag ue to a protuberance. a = Spee of soun, as efine in Section 1.1 Boy Friction Drag ν = Kinematic viscosity, as efine in Section 1.1 Boy Friction Drag Rn* = Compressible Reynols umber aml = P ( M 0.04M M 0.089M M 1ν Cf * M = Mach umber L P = Length of protuberance, inches = Incompressible skin friction coefficient = Rn * Cf Cf = Compressible skin friction coefficient 4 = Cf *( M 0.181M M 0.009M M * ( term = Incompressible skin friction coefficient with roughness 1 = log 10 L P K.5 5 K = 0.0, for smooth surface = to , for polishe metal or woo = , for natural sheet metal = , for smooth matte paint, carefully applie = to 0.001, for stanar camouflage paint Cf (term = Compressible skin friction coefficient with roughness Cf * ( term = ( M

9 9 Cf ( final = Final skin friction coefficient = Cf, if Cf Cf (term = Cf (term, if Cf Cf (term Cf pro Cf pro = Friction coefficient of protuberance 0.14 a = Cf ( final Lp a = Distance from rocket nose to front ege of protuberance L p = Length of protuberance C = Drag coefficient of protuberance ue to friction Equation 1. pro A 4S pro = Cf pro L p π A = Maximum cross-section area of protuberance S pro = Wette surface area of protuberance = Maximum rocket iameter a L p 1. Drag ue to Excrescencies Excrescencies inclue features such as scratches, gouges, joints, rivets, cover plates, slots, an holes. These will be accounte for by assuming they are istribute over the wette surface of the rocket. The coefficient of rag for excrescencies is estimate with the equations below. Ce = Change is rag coefficient ue to excrescencies Equation 1.4 4Sr Ce = Ke π S r = Total wette surface area of rocket = Maximum iameter of rocket boy K e = Coefficient for excrescencies rag increment K = , For M < 0.78 e 4 = M M.106M M For 0.78 M = 0.000M 0.001M , For M >

10 Total Friction an Interference Drag Coefficient The total friction rag coefficient is assume proportional to the sum of the rag coefficients for the boy, fin, protuberances, an excrescencies. The total skin friction rag coefficient with consieration for interference effects is estimate with the following equation. F [ C boy + K C ( fins + K C C ] C = ( + Equation 1.5 f F f F pro e KF = Mutual interference factor of fins an launch lug with boy Base Drag Coefficient - Base rag can be escribe as a change in mass momentum. Imagine laminar airflow traveling over a smooth graually contoure boy at velocity when suenly it encounters a blunt aft en where the velocity rops to zero. The mass momentum (mass x velocity changes abruptly, generating a force that acts opposite to the irection of flight. Fortunately, an particularly in subsonic flow, Mother ature helps reuce the severity of this change in mass momentum through the generation of a bounary layer. Most likely, the bounary layer is not laminar but turbulent an the momentum thickness is well evelope. The change in mass momentum at the blunt en is less severe with the avent of a fully evelope bounary layer. The resulting form rag is less severe as well. Unfortunately, nothing is free when it comes to Mother ature. The bounary layer is evelope from the presence of viscosity. Recall that viscosity is the culprit that causes skin friction rag. Generally, as friction rag increases the tren is a reuction in base rag. Base rag is ifficult to preict. An attempt to fin an existing metho to estimate base rag that correlates well with rocket ata was unsuccessful. In lieu of continuing a search, an effort has been mae to formulate a metho that woul estimate base rag with reasonable correlation. The metho escribe below is ivie into two regimes, the first for Mach umber less than or equal to 0.6, an the secon for Mach umber greater than Base Drag Coefficient for M < 0.6 Recall that for coasting flight, as friction rag increases, the tenency is for a reuction in base rag. In fact, base rag is typically escribe as inversely proportional to the square root of the total skinfriction rag-coefficient. In the formulation given below, it is assume that the base rag is inversely proportional to the square root of the total skin-friction rag-coefficient, incluing interference effects. Base rag is also relate to the ratio of boy base iameter to maximum boy iameter. The following is a general form of the equation for base rag. C b n b ( M < 0.6 = Kb Equation 1.6 C F K b = constant of proportionality b = base iameter of rocket at aft en = rocket maximum iameter C F = total skin-friction rag-coefficient, incluing interference n = exponent

11 11 The values for K b an n are given as 0.09 an.0 in Reference 6. The above equation using these values oes a poor job in preicting base rag for the rocket type shapes of References 1 an 5. As escribe in Reference 5, base rag is strongly relate to the rocket s length to boy ratio, where the length is taken aft of the maximum boy-iameter position. Configuration #1 b L o Configuration # b L o For the above two configurations, reasonable values of K b an n are: K b = tan Lo n = Lo When using the above equations efining K b an n along with the general equation for C b (M<0.6, the correlation as epicte by the graph below is reasonable. Preicte Cb Cb for Mach umber ~ Actual Cb Line of Perfect Agreement

12 1. Base Drag Coefficient for M > 0.6 For Mach umbers greater than 0.6, the base rag coefficient is calculate relative to the base rag value at Mach = 0.6 (M = 0.6. Using the equation of Section.1 to calculate the base rag coefficient at M = 0.6, the base rag coefficient for higher values of Mach umber is etermine by multiplying the value at M = 0.6 by the function f b. b ( M 0.6 = C b ( M = 0. f b C 6 Equation 1.7 ( ( M 1.798( M ( f b = M, For 0.6 < M < 1.0 f b =.0881 M, For 1.0 < M <.0 f b = 0.97( M 0.797( M ( M , For M >.0 The function f b is base on the souning rocket ata of Reference 1. A plot of f b against this souning rocket ata is given below. Function fb Mach umber 'M'.0 Transonic Wave Drag Coefficient The approach taken was to start with a clean sheet of paper. The DATCOM methos, as recore in my han written notes, prove to preict the transonic rag rise reasonably well for the Hart missile, esignation L-6591, of Reference. However, the metho i not perform as well for a variety of other configurations of References 1 an 5, incluing the variations of the Hart missile esignation L of References an. The epth of the DATCOM methos is beyon the scope of this effort. The metho presente here constitutes a series of equations that characterize the rag rise over the transonic region. These equations are curve fits of actual tren ata taken from a variety of rocket configurations, an attempt to preict the rag rise with basic boy imensional ata only. Equations bas e on curve fits of tren ata can be angerous an lea to erroneous results if use outsie the range of

13 1 parameters use in their evelopment. Specifically, the equations presente below shoul only be use for rockets having a ratio of nose length to effective rocket length less than 0.6. It is guarantee that the use of these equations for rockets having a ratio greater than 0.6 will result in a truly ba answer. Equations evelope this way will ten to lack quantities that relate to the actual physics of the problem, so extrapolation outsie the atabase use in their evelopment is a ba iea. Other methos with more substance, such as DATCOM, may be capable of accounting for the effects of iniviual component characteristics, such as fin sweep angle. Drag rise over the transonic region can be preicte for a given Mach umber (M an basic boy imensions, using the following equations: Configuration #1 L L e L b L Configuration # L e = L b MD = Transonic rag ivergence Mach umber L L = = Length of rocket nose L = Maximum Boy Cross Section Diameter MF = Final Mach umber of Transonic Region = a Le b Le = Effective length of rocket L a =.4, For < 0. Le

14 14 C DMAX L L = Le L L b = 1.05, For < 0. Le L = L e L L = Maximum rag rise over transonic region g L L e = c e, For 6 c( 6 g L e =, For < 6 L c = L b L g =.58 L b e L L b L L e L 6.48, For 0. Le + L 1.744, For 0. Le b CT = Transonic rag rise for given Mach umber M Equation 1.8 = C DMAX F, If MD M M F = 0., If M < MD or M > M F 5 4 F = 8.474x x 4.946x x x x = ( M M ( D M F M D 4.0 Supersonic Wave Drag Coefficient For all Mach umbers greater than M F, the supersonic rag rise is assume to equal the transonic rag rise at Mach umber = M F. This greatly simplifies calculations, an the results compare well with actual test ata. C = Supersonic rag rise for given Mach umber M Equation 1.9 S = C DMAX, If M MF = 0., If M < MF

15 Total Drag Coefficient The rocket s total rag coefficient for any given Mach umber is the summation of the iniviual coefficients given by equations 1.5 to 1.9. C D [ C f ( boy + K FC f ( fins + K FC pro + Ce ] + Cb + CT + CS = Preictions of rag coefficient versus Mach umber were performe for the two free-flight rocket configurations of Reference an the souning rocket of Reference 1. In all cases, it was not clear as to the actual surface finish of the rocket. Therefore, the surface finish constant K was ajuste until the preicte rag coefficients approximate the measure values. Due to the level of sophistication of the equations presente here, excellent agreement between preiction an measure ata was not expecte. However, it was hope that preiction of rag magnitue with configuration an variation with Mach umber is reasonable; that is, the trens are correct. For accurate preictions more sophisticate methos such as Finite Difference or Finite Element base Computational Flui Dynamics shoul be employe. The first example is the rocket configuration L-6590 of ACA T 549, Reference. The analysis suggeste that the rocket surface finish must have been very smooth with very few scratches an/or imperfections. Drag Coefficient Preiction for L-6590 Preiction With Escrescenes Preiction Without Excrescences Measure Data C Mach o.

16 16 The Secon example is the rocket configuration L-6591, also of ACA T 549, Reference. Drag Coefficient Preiction for L6591 Preicte Measure Data C Mach o. The final example is the 10-mm iameter souning rocket of Reference 1, How to Make Amateur Rockets. The example compares preicte versus measure rag coefficient for both the thrust (burn an zero-thrust (coast phases. Here we can see that the rag rise over the transonic region is unerpreicte for both burn an coast flight. The Mach umber at maximum rag rise is uner-preicte as well. The geometric configuration of this rocket falls outsie the range of ata for which the preiction methos were evelope. The methos were base on rocket configurations with nose cone length to total

17 17 rocket length ratios of 0. to 0.6. The 10-mm iameter souning rocket has a ratio of The preicte jump from the burn curve to coast curve compares well with that of the measure ata over the range of Mach umber. C for the 10 mm Souning Rocket Burn - Preicte Coast - Measure Coast - Preicte Burn - Measure C Mach o.

18 18 REFERECES 1. Wickman, John H.: How to Make Amateur Rockets, CP Technologies, Hart, Roger G.: Flight Investigation at Mach umbers from 0.8 to 1.5 to Determine the Effects of ose Bluntness on the Total Drag of Two Fin -Stabilize Boies of Revolution, ACA Technical ote 549, Langley Aeronautical Laboratory, Langley Fiel, Virginia, June Waliskog, Harvey A. an Hart, Roger G.: Investigation of the Drag of Blunt-ose Boies of Revolution in Free Flight at Mach umbers form 0.6 to., ACA Research Memoranum L5D14a, Langley Aeronautical Laboratory, Langley Fiel, Virginia, June Ellison, D. E.: USAF Stability an Control Hanbook (DATCOM, AF Flight Dynamics Lab., AFFDL/FDCC, Wright-Patterson AFB, Ohio, August McCormick, Barnes W.: Aeroynamics, Aeronautics an Flight Mechanics, pp. 15-1, John Wiley an Sons Inc., ew York, icolai, Lelan M.: Funamentals of Aircraft Design, 1975.

This section outlines the methodology used to calculate the wave load and wave wind load values.

This section outlines the methodology used to calculate the wave load and wave wind load values. COMPUTERS AND STRUCTURES, INC., JUNE 2014 AUTOMATIC WAVE LOADS TECHNICAL NOTE CALCULATION O WAVE LOAD VALUES This section outlines the methoology use to calculate the wave loa an wave win loa values. Overview

More information

6. Friction and viscosity in gasses

6. Friction and viscosity in gasses IR2 6. Friction an viscosity in gasses 6.1 Introuction Similar to fluis, also for laminar flowing gases Newtons s friction law hols true (see experiment IR1). Using Newton s law the viscosity of air uner

More information

Section 2.7 Derivatives of powers of functions

Section 2.7 Derivatives of powers of functions Section 2.7 Derivatives of powers of functions (3/19/08) Overview: In this section we iscuss the Chain Rule formula for the erivatives of composite functions that are forme by taking powers of other functions.

More information

CE2253- APPLIED HYDRAULIC ENGINEERING (FOR IV SEMESTER)

CE2253- APPLIED HYDRAULIC ENGINEERING (FOR IV SEMESTER) CE5-APPLIED HYDRAULIC ENGINEERING/UNIT-II/UNIFORM FLOW CE5- APPLIED HYDRAULIC ENGINEERING (FOR IV SEMESTER) UNIT II- UNIFORM FLOW CE5-APPLIED HYDRAULIC ENGINEERING/UNIT-II/UNIFORM FLOW CE5- APPLIED HYDRAULIC

More information

To understand how scrubbers work, we must first define some terms.

To understand how scrubbers work, we must first define some terms. SRUBBERS FOR PARTIE OETION Backgroun To unerstan how scrubbers work, we must first efine some terms. Single roplet efficiency, η, is similar to single fiber efficiency. It is the fraction of particles

More information

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum October 6, 4 ARDB Note Analytic Scaling Formulas for Crosse Laser Acceleration in Vacuum Robert J. Noble Stanfor Linear Accelerator Center, Stanfor University 575 San Hill Roa, Menlo Park, California 945

More information

Torque OBJECTIVE INTRODUCTION APPARATUS THEORY

Torque OBJECTIVE INTRODUCTION APPARATUS THEORY Torque OBJECTIVE To verify the rotational an translational conitions for equilibrium. To etermine the center of ravity of a rii boy (meter stick). To apply the torque concept to the etermination of an

More information

inflow outflow Part I. Regular tasks for MAE598/494 Task 1

inflow outflow Part I. Regular tasks for MAE598/494 Task 1 MAE 494/598, Fall 2016 Project #1 (Regular tasks = 20 points) Har copy of report is ue at the start of class on the ue ate. The rules on collaboration will be release separately. Please always follow the

More information

Physics 2212 GJ Quiz #4 Solutions Fall 2015

Physics 2212 GJ Quiz #4 Solutions Fall 2015 Physics 2212 GJ Quiz #4 Solutions Fall 215 I. (17 points) The magnetic fiel at point P ue to a current through the wire is 5. µt into the page. The curve portion of the wire is a semicircle of raius 2.

More information

Homework 7 Due 18 November at 6:00 pm

Homework 7 Due 18 November at 6:00 pm Homework 7 Due 18 November at 6:00 pm 1. Maxwell s Equations Quasi-statics o a An air core, N turn, cylinrical solenoi of length an raius a, carries a current I Io cos t. a. Using Ampere s Law, etermine

More information

Quantum Mechanics in Three Dimensions

Quantum Mechanics in Three Dimensions Physics 342 Lecture 20 Quantum Mechanics in Three Dimensions Lecture 20 Physics 342 Quantum Mechanics I Monay, March 24th, 2008 We begin our spherical solutions with the simplest possible case zero potential.

More information

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21 Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

MAE 210A FINAL EXAM SOLUTIONS

MAE 210A FINAL EXAM SOLUTIONS 1 MAE 21A FINAL EXAM OLUTION PROBLEM 1: Dimensional analysis of the foling of paper (2 points) (a) We wish to simplify the relation between the fol length l f an the other variables: The imensional matrix

More information

2-7. Fitting a Model to Data I. A Model of Direct Variation. Lesson. Mental Math

2-7. Fitting a Model to Data I. A Model of Direct Variation. Lesson. Mental Math Lesson 2-7 Fitting a Moel to Data I BIG IDEA If you etermine from a particular set of ata that y varies irectly or inversely as, you can graph the ata to see what relationship is reasonable. Using that

More information

Schrödinger s equation.

Schrödinger s equation. Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of

More information

Vectors in two dimensions

Vectors in two dimensions Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication

More information

Numerical Investigation of Non-Stationary Parameters on Effective Phenomena of a Pitching Airfoil at Low Reynolds Number

Numerical Investigation of Non-Stationary Parameters on Effective Phenomena of a Pitching Airfoil at Low Reynolds Number Journal of Applie Flui Mechanics, Vol. 9, No. 2, pp. 643-651, 2016. Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. Numerical Investigation of Non-Stationary Parameters on Effective

More information

The Principle of Least Action

The Principle of Least Action Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of

More information

The Principle of Least Action and Designing Fiber Optics

The Principle of Least Action and Designing Fiber Optics University of Southampton Department of Physics & Astronomy Year 2 Theory Labs The Principle of Least Action an Designing Fiber Optics 1 Purpose of this Moule We will be intereste in esigning fiber optic

More information

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1 Assignment 1 Golstein 1.4 The equations of motion for the rolling isk are special cases of general linear ifferential equations of constraint of the form g i (x 1,..., x n x i = 0. i=1 A constraint conition

More information

Thermal conductivity of graded composites: Numerical simulations and an effective medium approximation

Thermal conductivity of graded composites: Numerical simulations and an effective medium approximation JOURNAL OF MATERIALS SCIENCE 34 (999)5497 5503 Thermal conuctivity of grae composites: Numerical simulations an an effective meium approximation P. M. HUI Department of Physics, The Chinese University

More information

Experiment 2, Physics 2BL

Experiment 2, Physics 2BL Experiment 2, Physics 2BL Deuction of Mass Distributions. Last Upate: 2009-05-03 Preparation Before this experiment, we recommen you review or familiarize yourself with the following: Chapters 4-6 in Taylor

More information

Tutorial Test 5 2D welding robot

Tutorial Test 5 2D welding robot Tutorial Test 5 D weling robot Phys 70: Planar rigi boy ynamics The problem statement is appene at the en of the reference solution. June 19, 015 Begin: 10:00 am En: 11:30 am Duration: 90 min Solution.

More information

Conservation Laws. Chapter Conservation of Energy

Conservation Laws. Chapter Conservation of Energy 20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

Evaluation of Column Breakpoint and Trajectory for a Plain Liquid Jet Injected into a Crossflow

Evaluation of Column Breakpoint and Trajectory for a Plain Liquid Jet Injected into a Crossflow ILASS Americas, 1 st Annual Conference on Liqui Atomization an Spray Systems, Orlano, Floria, May 008 Evaluation of Column Breakpoint an Trajectory for a Plain Liqui Jet Injecte into a Crossflow S.M. Thawley,

More information

3-D FEM Modeling of fiber/matrix interface debonding in UD composites including surface effects

3-D FEM Modeling of fiber/matrix interface debonding in UD composites including surface effects IOP Conference Series: Materials Science an Engineering 3-D FEM Moeling of fiber/matrix interface eboning in UD composites incluing surface effects To cite this article: A Pupurs an J Varna 2012 IOP Conf.

More information

Chapter 2 Governing Equations

Chapter 2 Governing Equations Chapter 2 Governing Equations In the present an the subsequent chapters, we shall, either irectly or inirectly, be concerne with the bounary-layer flow of an incompressible viscous flui without any involvement

More information

1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity

1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity AP Physics Multiple Choice Practice Electrostatics 1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity. A soli conucting sphere is given a positive charge Q.

More information

A SIMPLE ENGINEERING MODEL FOR SPRINKLER SPRAY INTERACTION WITH FIRE PRODUCTS

A SIMPLE ENGINEERING MODEL FOR SPRINKLER SPRAY INTERACTION WITH FIRE PRODUCTS International Journal on Engineering Performance-Base Fire Coes, Volume 4, Number 3, p.95-3, A SIMPLE ENGINEERING MOEL FOR SPRINKLER SPRAY INTERACTION WITH FIRE PROCTS V. Novozhilov School of Mechanical

More information

Separation of Variables

Separation of Variables Physics 342 Lecture 1 Separation of Variables Lecture 1 Physics 342 Quantum Mechanics I Monay, January 25th, 2010 There are three basic mathematical tools we nee, an then we can begin working on the physical

More information

Chapter 2 Lagrangian Modeling

Chapter 2 Lagrangian Modeling Chapter 2 Lagrangian Moeling The basic laws of physics are use to moel every system whether it is electrical, mechanical, hyraulic, or any other energy omain. In mechanics, Newton s laws of motion provie

More information

Construction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems

Construction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems Construction of the Electronic Raial Wave Functions an Probability Distributions of Hyrogen-like Systems Thomas S. Kuntzleman, Department of Chemistry Spring Arbor University, Spring Arbor MI 498 tkuntzle@arbor.eu

More information

ELECTRON DIFFRACTION

ELECTRON DIFFRACTION ELECTRON DIFFRACTION Electrons : wave or quanta? Measurement of wavelength an momentum of electrons. Introuction Electrons isplay both wave an particle properties. What is the relationship between the

More information

The total derivative. Chapter Lagrangian and Eulerian approaches

The total derivative. Chapter Lagrangian and Eulerian approaches Chapter 5 The total erivative 51 Lagrangian an Eulerian approaches The representation of a flui through scalar or vector fiels means that each physical quantity uner consieration is escribe as a function

More information

2.25 m. (a) Using Newton s laws of motion, explain why the student can gain an initial speed to leave the ground vertically.

2.25 m. (a) Using Newton s laws of motion, explain why the student can gain an initial speed to leave the ground vertically. NAME : F.5 ( ) MARS: /70 FORM FIVE PHYSICS TEST on MECHANICS Time Allowe: 70 minutes This test consists of two sections: Section A (structure type questions, 50 marks); Section B (multiple choice, 20 marks)

More information

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013 Survey Sampling Kosuke Imai Department of Politics, Princeton University February 19, 2013 Survey sampling is one of the most commonly use ata collection methos for social scientists. We begin by escribing

More information

PHY 114 Summer 2009 Final Exam Solutions

PHY 114 Summer 2009 Final Exam Solutions PHY 4 Summer 009 Final Exam Solutions Conceptual Question : A spherical rubber balloon has a charge uniformly istribute over its surface As the balloon is inflate, how oes the electric fiel E vary (a)

More information

Statics. There are four fundamental quantities which occur in mechanics:

Statics. There are four fundamental quantities which occur in mechanics: Statics Mechanics isabranchofphysicsinwhichwestuythestate of rest or motion of boies subject to the action of forces. It can be ivie into two logical parts: statics, where we investigate the equilibrium

More information

TMA 4195 Matematisk modellering Exam Tuesday December 16, :00 13:00 Problems and solution with additional comments

TMA 4195 Matematisk modellering Exam Tuesday December 16, :00 13:00 Problems and solution with additional comments Problem F U L W D g m 3 2 s 2 0 0 0 0 2 kg 0 0 0 0 0 0 Table : Dimension matrix TMA 495 Matematisk moellering Exam Tuesay December 6, 2008 09:00 3:00 Problems an solution with aitional comments The necessary

More information

ARCH 614 Note Set 5 S2012abn. Moments & Supports

ARCH 614 Note Set 5 S2012abn. Moments & Supports RCH 614 Note Set 5 S2012abn Moments & Supports Notation: = perpenicular istance to a force from a point = name for force vectors or magnitue of a force, as is P, Q, R x = force component in the x irection

More information

Fluid Mechanics EBS 189a. Winter quarter, 4 units, CRN Lecture TWRF 12:10-1:00, Chemistry 166; Office hours TH 2-3, WF 4-5; 221 Veihmeyer Hall.

Fluid Mechanics EBS 189a. Winter quarter, 4 units, CRN Lecture TWRF 12:10-1:00, Chemistry 166; Office hours TH 2-3, WF 4-5; 221 Veihmeyer Hall. Flui Mechanics EBS 189a. Winter quarter, 4 units, CRN 52984. Lecture TWRF 12:10-1:00, Chemistry 166; Office hours TH 2-3, WF 4-5; 221 eihmeyer Hall. Course Description: xioms of flui mechanics, flui statics,

More information

Problem 1 (20 points)

Problem 1 (20 points) ME 309 Fall 01 Exam 1 Name: C Problem 1 0 points Short answer questions. Each question is worth 5 points. Don t spen too long writing lengthy answers to these questions. Don t use more space than is given.

More information

Crossed Roller Bearings

Crossed Roller Bearings Special Selection & http://www.ikont.eu Official Distributer in Unite Kingom rosse Bearings Unit rackley Way Peartree Lane Duley, West Milans DY UW Tel : 9 / E-mail : uley@goiva-bearings.co.uk for AT-EG

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

More information

ON THE OPTIMALITY SYSTEM FOR A 1 D EULER FLOW PROBLEM

ON THE OPTIMALITY SYSTEM FOR A 1 D EULER FLOW PROBLEM ON THE OPTIMALITY SYSTEM FOR A D EULER FLOW PROBLEM Eugene M. Cliff Matthias Heinkenschloss y Ajit R. Shenoy z Interisciplinary Center for Applie Mathematics Virginia Tech Blacksburg, Virginia 46 Abstract

More information

Chapter 4. Electrostatics of Macroscopic Media

Chapter 4. Electrostatics of Macroscopic Media Chapter 4. Electrostatics of Macroscopic Meia 4.1 Multipole Expansion Approximate potentials at large istances 3 x' x' (x') x x' x x Fig 4.1 We consier the potential in the far-fiel region (see Fig. 4.1

More information

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation

More information

Numerical Integrator. Graphics

Numerical Integrator. Graphics 1 Introuction CS229 Dynamics Hanout The question of the week is how owe write a ynamic simulator for particles, rigi boies, or an articulate character such as a human figure?" In their SIGGRPH course notes,

More information

Three-Dimensional Modeling of Green Sand and Squeeze Molding Simulation Yuuka Ito 1,a and Yasuhiro Maeda 2,b*

Three-Dimensional Modeling of Green Sand and Squeeze Molding Simulation Yuuka Ito 1,a and Yasuhiro Maeda 2,b* Materials Science Forum Submitte: 2017-08-13 ISSN: 1662-9752, Vol. 925, pp 473-480 Revise: 2017-12-09 oi:10.4028/www.scientific.net/msf.925.473 Accepte: 2018-01-12 2018 Trans Tech Publications, Switzerlan

More information

Hyperbolic Systems of Equations Posed on Erroneous Curved Domains

Hyperbolic Systems of Equations Posed on Erroneous Curved Domains Hyperbolic Systems of Equations Pose on Erroneous Curve Domains Jan Norström a, Samira Nikkar b a Department of Mathematics, Computational Mathematics, Linköping University, SE-58 83 Linköping, Sween (

More information

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments 2 Conference on Information Sciences an Systems, The Johns Hopkins University, March 2, 2 Time-of-Arrival Estimation in Non-Line-Of-Sight Environments Sinan Gezici, Hisashi Kobayashi an H. Vincent Poor

More information

ADIT DEBRIS PROJECTION DUE TO AN EXPLOSION IN AN UNDERGROUND AMMUNITION STORAGE MAGAZINE

ADIT DEBRIS PROJECTION DUE TO AN EXPLOSION IN AN UNDERGROUND AMMUNITION STORAGE MAGAZINE ADIT DEBRIS PROJECTION DUE TO AN EXPLOSION IN AN UNDERGROUND AMMUNITION STORAGE MAGAZINE Froe Opsvik, Knut Bråtveit Holm an Svein Rollvik Forsvarets forskningsinstitutt, FFI Norwegian Defence Research

More information

Study on aero-acoustic structural interactions in fan-ducted system

Study on aero-acoustic structural interactions in fan-ducted system Stuy on aero-acoustic structural interactions in fan-ucte system Yan-kei CHIANG 1 ; Yat-sze CHOY ; Li CHENG 3 ; Shiu-keung TANG 4 1,, 3 Department of Mechanical Engineering, The Hong Kong Polytechnic University,

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

More information

Physics 2212 K Quiz #2 Solutions Summer 2016

Physics 2212 K Quiz #2 Solutions Summer 2016 Physics 1 K Quiz # Solutions Summer 016 I. (18 points) A positron has the same mass as an electron, but has opposite charge. Consier a positron an an electron at rest, separate by a istance = 1.0 nm. What

More information

AN INTRODUCTION TO AIRCRAFT WING FLUTTER Revision A

AN INTRODUCTION TO AIRCRAFT WING FLUTTER Revision A AN INTRODUCTION TO AIRCRAFT WIN FLUTTER Revision A By Tom Irvine Email: tomirvine@aol.com January 8, 000 Introuction Certain aircraft wings have experience violent oscillations uring high spee flight.

More information

MULTISCALE FRICTION MODELING FOR SHEET METAL FORMING

MULTISCALE FRICTION MODELING FOR SHEET METAL FORMING MULTISCALE FRICTION MODELING FOR SHEET METAL FORMING Authors J. HOL 1, M.V. CID ALFARO 2, M.B. DE ROOIJ 3 AND T. MEINDERS 4 1 Materials innovation institute (M2i) 2 Corus Research Centre 3 University of

More information

Lecture 10 Notes, Electromagnetic Theory II Dr. Christopher S. Baird, faculty.uml.edu/cbaird University of Massachusetts Lowell

Lecture 10 Notes, Electromagnetic Theory II Dr. Christopher S. Baird, faculty.uml.edu/cbaird University of Massachusetts Lowell Lecture 10 Notes, Electromagnetic Theory II Dr. Christopher S. Bair, faculty.uml.eu/cbair University of Massachusetts Lowell 1. Pre-Einstein Relativity - Einstein i not invent the concept of relativity,

More information

Estimation of hardness by nanoindentation of rough surfaces

Estimation of hardness by nanoindentation of rough surfaces Journal of MATERIALS RESEARCH Welcome Comments Help Estimation of harness by nanoinentation of rough surfaces M. S. Bobji an S. K. Biswas Department of Mechanical Engineering, Inian Institute of Science,

More information

Angles-Only Orbit Determination Copyright 2006 Michel Santos Page 1

Angles-Only Orbit Determination Copyright 2006 Michel Santos Page 1 Angles-Only Orbit Determination Copyright 6 Michel Santos Page 1 Abstract This ocument presents a re-erivation of the Gauss an Laplace Angles-Only Methos for Initial Orbit Determination. It keeps close

More information

Adhesive Wear Theory of Micromechanical Surface Contact

Adhesive Wear Theory of Micromechanical Surface Contact International Journal Of Computational Engineering esearch ijceronline.com Vol. Issue. hesive Wear Theory of Micromechanical Surface Contact iswajit era Department of Mechanical Engineering National Institute

More information

18 EVEN MORE CALCULUS

18 EVEN MORE CALCULUS 8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;

More information

II. First variation of functionals

II. First variation of functionals II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent

More information

Calculus of Variations

Calculus of Variations 16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t

More information

A new identification method of the supply hole discharge coefficient of gas bearings

A new identification method of the supply hole discharge coefficient of gas bearings Tribology an Design 95 A new ientification metho of the supply hole ischarge coefficient of gas bearings G. Belforte, F. Colombo, T. Raparelli, A. Trivella & V. Viktorov Department of Mechanics, Politecnico

More information

MATHEMATICS BONUS FILES for faculty and students

MATHEMATICS BONUS FILES for faculty and students MATHMATI BONU FIL for faculty an stuents http://www.onu.eu/~mcaragiu1/bonus_files.html RIVD: May 15, 9 PUBLIHD: May 5, 9 toffel 1 Maxwell s quations through the Major Vector Theorems Joshua toffel Department

More information

Problem Set 2: Solutions

Problem Set 2: Solutions UNIVERSITY OF ALABAMA Department of Physics an Astronomy PH 102 / LeClair Summer II 2010 Problem Set 2: Solutions 1. The en of a charge rubber ro will attract small pellets of Styrofoam that, having mae

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

Electromagnet Gripping in Iron Foundry Automation Part II: Simulation

Electromagnet Gripping in Iron Foundry Automation Part II: Simulation www.ijcsi.org 238 Electromagnet Gripping in Iron Founry Automation Part II: Simulation Rhythm-Suren Wahwa Department of Prouction an Quality Engineering, NTNU Tronheim, 7051, Norway Abstract This paper

More information

Simulation of Angle Beam Ultrasonic Testing with a Personal Computer

Simulation of Angle Beam Ultrasonic Testing with a Personal Computer Key Engineering Materials Online: 4-8-5 I: 66-9795, Vols. 7-73, pp 38-33 oi:.48/www.scientific.net/kem.7-73.38 4 rans ech ublications, witzerlan Citation & Copyright (to be inserte by the publisher imulation

More information

Project 3 Convection

Project 3 Convection 12.307 Project 3 Convection Loovica Illari an John Marshall March 2010 1 Backgroun The Earth is bathe in raiation from the Sun whose intensity peaks in the visible. In orer to maintain energy balance the

More information

ACCELERATION, FORCE, MOMENTUM, ENERGY : solutions to higher level questions

ACCELERATION, FORCE, MOMENTUM, ENERGY : solutions to higher level questions ACCELERATION, FORCE, MOMENTUM, ENERGY : solutions to higher level questions 015 Question 1 (a) (i) State Newton s secon law of motion. Force is proportional to rate of change of momentum (ii) What is the

More information

Exercise 4 - Hydraulic Systems

Exercise 4 - Hydraulic Systems Exercise 4 - Hyraulic Systems 4.1 Hyraulic Systems Hyraulic systems are, in general, escribe by the Navier-Stokes equations as you might have learne in flui ynamics courses. In orer to simplify the moeling

More information

Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing

Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing Course Project for CDS 05 - Geometric Mechanics John M. Carson III California Institute of Technology June

More information

SEDIMENT SCOUR AT PIERS WITH COMPLEX GEOMETRIES

SEDIMENT SCOUR AT PIERS WITH COMPLEX GEOMETRIES SEDIMENT SCOUR AT PIERS WITH COMPLEX GEOMETRIES D. MAX SHEPPARD Civil an Coastal Engineering Department, University of Floria, 365 Weil Hall Gainesville, Floria 3611, US TOM L. GLASSER Ocean Engineering

More information

Approaches for Predicting Collection Efficiency of Fibrous Filters

Approaches for Predicting Collection Efficiency of Fibrous Filters Volume 5, Issue, Summer006 Approaches for Preicting Collection Efficiency of Fibrous Filters Q. Wang, B. Maze, H. Vahei Tafreshi, an B. Poureyhimi Nonwovens Cooperative esearch Center, North Carolina State

More information

fv = ikφ n (11.1) + fu n = y v n iσ iku n + gh n. (11.3) n

fv = ikφ n (11.1) + fu n = y v n iσ iku n + gh n. (11.3) n Chapter 11 Rossby waves Supplemental reaing: Pelosky 1 (1979), sections 3.1 3 11.1 Shallow water equations When consiering the general problem of linearize oscillations in a static, arbitrarily stratifie

More information

Sensors & Transducers 2015 by IFSA Publishing, S. L.

Sensors & Transducers 2015 by IFSA Publishing, S. L. Sensors & Transucers, Vol. 184, Issue 1, January 15, pp. 53-59 Sensors & Transucers 15 by IFSA Publishing, S. L. http://www.sensorsportal.com Non-invasive an Locally Resolve Measurement of Soun Velocity

More information

The influence of the equivalent hydraulic diameter on the pressure drop prediction of annular test section

The influence of the equivalent hydraulic diameter on the pressure drop prediction of annular test section IOP Conference Series: Materials Science an Engineering PAPER OPEN ACCESS The influence of the equivalent hyraulic iameter on the pressure rop preiction of annular test section To cite this article: A

More information

Convective heat transfer

Convective heat transfer CHAPTER VIII Convective heat transfer The previous two chapters on issipative fluis were evote to flows ominate either by viscous effects (Chap. VI) or by convective motion (Chap. VII). In either case,

More information

3.2 Shot peening - modeling 3 PROCEEDINGS

3.2 Shot peening - modeling 3 PROCEEDINGS 3.2 Shot peening - moeling 3 PROCEEDINGS Computer assiste coverage simulation François-Xavier Abaie a, b a FROHN, Germany, fx.abaie@frohn.com. b PEENING ACCESSORIES, Switzerlan, info@peening.ch Keywors:

More information

Dusty Plasma Void Dynamics in Unmoving and Moving Flows

Dusty Plasma Void Dynamics in Unmoving and Moving Flows 7 TH EUROPEAN CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES (EUCASS) Dusty Plasma Voi Dynamics in Unmoving an Moving Flows O.V. Kravchenko*, O.A. Azarova**, an T.A. Lapushkina*** *Scientific an Technological

More information

Unit 5: Chemical Kinetics and Equilibrium UNIT 5: CHEMICAL KINETICS AND EQUILIBRIUM

Unit 5: Chemical Kinetics and Equilibrium UNIT 5: CHEMICAL KINETICS AND EQUILIBRIUM UNIT 5: CHEMICAL KINETICS AND EQUILIBRIUM Chapter 14: Chemical Kinetics 14.4 & 14.6: Activation Energy, Temperature Depenence on Reaction Rates & Catalysis Reaction Rates: - the spee of which the concentration

More information

Exam 2 Review Solutions

Exam 2 Review Solutions Exam Review Solutions 1. True or False, an explain: (a) There exists a function f with continuous secon partial erivatives such that f x (x, y) = x + y f y = x y False. If the function has continuous secon

More information

Chapter 6: Energy-Momentum Tensors

Chapter 6: Energy-Momentum Tensors 49 Chapter 6: Energy-Momentum Tensors This chapter outlines the general theory of energy an momentum conservation in terms of energy-momentum tensors, then applies these ieas to the case of Bohm's moel.

More information

Introduction to the Vlasov-Poisson system

Introduction to the Vlasov-Poisson system Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its

More information

In the usual geometric derivation of Bragg s Law one assumes that crystalline

In the usual geometric derivation of Bragg s Law one assumes that crystalline Diffraction Principles In the usual geometric erivation of ragg s Law one assumes that crystalline arrays of atoms iffract X-rays just as the regularly etche lines of a grating iffract light. While this

More information

Static Equilibrium. Theory: The conditions for the mechanical equilibrium of a rigid body are (a) (b)

Static Equilibrium. Theory: The conditions for the mechanical equilibrium of a rigid body are (a) (b) LPC Physics A 00 Las Positas College, Physics Department Staff Purpose: To etermine that, for a boy in equilibrium, the following are true: The sum of the torques about any point is zero The sum of forces

More information

2.20 Marine Hydrodynamics Lecture 3

2.20 Marine Hydrodynamics Lecture 3 2.20 Marine Hyroynamics, Fall 2018 Lecture 3 Copyright c 2018 MIT - Department of Mechanical Engineering, All rights reserve. 1.7 Stress Tensor 2.20 Marine Hyroynamics Lecture 3 1.7.1 Stress Tensor τ ij

More information

Stable and compact finite difference schemes

Stable and compact finite difference schemes Center for Turbulence Research Annual Research Briefs 2006 2 Stable an compact finite ifference schemes By K. Mattsson, M. Svär AND M. Shoeybi. Motivation an objectives Compact secon erivatives have long

More information

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 2 Lagrangian formulation of classical mechanics Mechanics Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,

More information

MATH2231-Differentiation (2)

MATH2231-Differentiation (2) -Differentiation () The Beginnings of Calculus The prime occasion from which arose my iscovery of the metho of the Characteristic Triangle, an other things of the same sort, happene at a time when I ha

More information

SPE Copyright 1999, Society of Petroleum Engineers Inc.

SPE Copyright 1999, Society of Petroleum Engineers Inc. SPE 664 Effect of Flow Through a Choke Valve on Emulsion Stability M.J. van er Zane, SPE, K.R. van Heuven, J.H. Muntinga, SPE, an W.M.G.T. van en Broek, SPE, Delft University of Technology Copyright 1999,

More information

A note on asymptotic formulae for one-dimensional network flow problems Carlos F. Daganzo and Karen R. Smilowitz

A note on asymptotic formulae for one-dimensional network flow problems Carlos F. Daganzo and Karen R. Smilowitz A note on asymptotic formulae for one-imensional network flow problems Carlos F. Daganzo an Karen R. Smilowitz (to appear in Annals of Operations Research) Abstract This note evelops asymptotic formulae

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

FLUID MECHANICS UNIVERSITY OF LEEDS. May/June Examination for the degree of. BEng/ MEng Civil Engineering. Time allowed: 2 hours

FLUID MECHANICS UNIVERSITY OF LEEDS. May/June Examination for the degree of. BEng/ MEng Civil Engineering. Time allowed: 2 hours This question paper consists of printe pages, each of which is ientifie by the Coe Number CIVE 4 UNIVERSITY OF LEEDS May/June Examination for the egree of BEng/ MEng Civil Engineering FLUID MECANICS Time

More information

Solutions to the Exercises of Chapter 9

Solutions to the Exercises of Chapter 9 9A. Vectors an Forces Solutions to the Exercises of Chapter 9. F = 5 sin 5.9 an F = 5 cos 5 4.8.. a. By the Pythagorean theorem, the length of the vector from to (, ) is + = 5. So the magnitue of the force

More information

Fundamental Laws of Motion for Particles, Material Volumes, and Control Volumes

Fundamental Laws of Motion for Particles, Material Volumes, and Control Volumes Funamental Laws of Motion for Particles, Material Volumes, an Control Volumes Ain A. Sonin Department of Mechanical Engineering Massachusetts Institute of Technology Cambrige, MA 02139, USA August 2001

More information