Compressible Flow
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Che 253M Experiment No. 2 COMPRESSIBLE GAS FLOW
Rev. 8/15 AD/GW ChE 253M Experiment No. 2 COMPRESSIBLE GAS FLOW The objective of this experiment is to familiarize the student with methods for measurement of compressible gas flow and to study gas flow under subsonic and supersonic flow conditions. The experiment is divided into three distinct parts: (1) Calibration and determination of the critical pressure ratio for a critical flow nozzle under supersonic flow conditions (2) Calculation of the discharge coefficient and Reynolds number for an orifice under subsonic (non- choked) flow conditions and (3) Determination of the orifice constants and mass discharge from a pressurized tank in a dynamic bleed down experiment under (choked) flow conditions. The experimental set up consists of a 100 psig air source branched into two manifolds: the first used for parts (1) and (2) and the second for part (3). The first manifold contains a critical flow nozzle, a NIST-calibrated in-line digital mass flow meter, and an orifice meter, all connected in series with copper piping. The second manifold contains a strain-gauge pressure transducer and a stainless steel tank, which can be pressurized and subsequently bled via a number of attached orifices. A number of NIST-calibrated digital hand held manometers are also used for measuring pressure in all 3 parts of this experiment. Assorted pressure regulators, manual valves, and pressure gauges are present on both manifolds and you are expected to familiarize yourself with the process flow, and know how to operate them to carry out the experiment. A process flow diagram plus handouts outlining the theory of operation of these devices are attached. -
Laws of Similarity in Fluid Mechanics 21
Laws of similarity in fluid mechanics B. Weigand1 & V. Simon2 1Institut für Thermodynamik der Luft- und Raumfahrt (ITLR), Universität Stuttgart, Germany. 2Isringhausen GmbH & Co KG, Lemgo, Germany. Abstract All processes, in nature as well as in technical systems, can be described by fundamental equations—the conservation equations. These equations can be derived using conservation princi- ples and have to be solved for the situation under consideration. This can be done without explicitly investigating the dimensions of the quantities involved. However, an important consideration in all equations used in fluid mechanics and thermodynamics is dimensional homogeneity. One can use the idea of dimensional consistency in order to group variables together into dimensionless parameters which are less numerous than the original variables. This method is known as dimen- sional analysis. This paper starts with a discussion on dimensions and about the pi theorem of Buckingham. This theorem relates the number of quantities with dimensions to the number of dimensionless groups needed to describe a situation. After establishing this basic relationship between quantities with dimensions and dimensionless groups, the conservation equations for processes in fluid mechanics (Cauchy and Navier–Stokes equations, continuity equation, energy equation) are explained. By non-dimensionalizing these equations, certain dimensionless groups appear (e.g. Reynolds number, Froude number, Grashof number, Weber number, Prandtl number). The physical significance and importance of these groups are explained and the simplifications of the underlying equations for large or small dimensionless parameters are described. Finally, some examples for selected processes in nature and engineering are given to illustrate the method. 1 Introduction If we compare a small leaf with a large one, or a child with its parents, we have the feeling that a ‘similarity’ of some sort exists. -
Aerodynamics Material - Taylor & Francis
CopyrightAerodynamics material - Taylor & Francis ______________________________________________________________________ 257 Aerodynamics Symbol List Symbol Definition Units a speed of sound ⁄ a speed of sound at sea level ⁄ A area aspect ratio ‐‐‐‐‐‐‐‐ b wing span c chord length c Copyrightmean aerodynamic material chord- Taylor & Francis specific heat at constant pressure of air · root chord tip chord specific heat at constant volume of air · / quarter chord total drag coefficient ‐‐‐‐‐‐‐‐ , induced drag coefficient ‐‐‐‐‐‐‐‐ , parasite drag coefficient ‐‐‐‐‐‐‐‐ , wave drag coefficient ‐‐‐‐‐‐‐‐ local skin friction coefficient ‐‐‐‐‐‐‐‐ lift coefficient ‐‐‐‐‐‐‐‐ , compressible lift coefficient ‐‐‐‐‐‐‐‐ compressible moment ‐‐‐‐‐‐‐‐ , coefficient , pitching moment coefficient ‐‐‐‐‐‐‐‐ , rolling moment coefficient ‐‐‐‐‐‐‐‐ , yawing moment coefficient ‐‐‐‐‐‐‐‐ ______________________________________________________________________ 258 Aerodynamics Aerodynamics Symbol List (cont.) Symbol Definition Units pressure coefficient ‐‐‐‐‐‐‐‐ compressible pressure ‐‐‐‐‐‐‐‐ , coefficient , critical pressure coefficient ‐‐‐‐‐‐‐‐ , supersonic pressure coefficient ‐‐‐‐‐‐‐‐ D total drag induced drag Copyright material - Taylor & Francis parasite drag e span efficiency factor ‐‐‐‐‐‐‐‐ L lift pitching moment · rolling moment · yawing moment · M mach number ‐‐‐‐‐‐‐‐ critical mach number ‐‐‐‐‐‐‐‐ free stream mach number ‐‐‐‐‐‐‐‐ P static pressure ⁄ total pressure ⁄ free stream pressure ⁄ q dynamic pressure ⁄ R -
A Semi-Hydrostatic Theory of Gravity-Dominated Compressible Flow
Generated using version 3.2 of the official AMS LATEX template 1 A semi-hydrostatic theory of gravity-dominated compressible flow 2 Thomas Dubos ∗ IPSL-Laboratoire de Météorologie Dynamique, Ecole Polytechnique, Palaiseau, France Fabrice voitus CNRM-Groupe d’étude de l’Atmosphere Metéorologique, Météo-France, Toulouse, France ∗Corresponding author address: Thomas Dubos, LMD, École Polytechnique, 91128 Palaiseau, France. E-mail: [email protected] 1 3 Abstract 4 From Hamilton’s least action principle, compressible equations of motion with density diag- 5 nosed from potential temperature through hydrostatic balance are derived. Slaving density 6 to potential temperature suppresses the degrees of freedom supporting the propagation of 7 acoustic waves and results in a sound-proof system. The linear normal modes and dispersion 8 relationship for an isothermal state of rest on f- and β- planes are accurate from hydrostatic 9 to non-hydrostatic scales, except for deep internal gravity waves. Especially the Lamb wave 10 and long Rossby waves are not distorted, unlike with anelastic or pseudo-incompressible 11 systems. 12 Compared to similar equations derived by Arakawa and Konor (2009), the semi-hydrostatic 13 system derived here possesses an additional term in the horizontal momentum budget. This 14 term is an apparent force resulting from the vertical coordinate not being the actual height 15 of an air parcel, but its hydrostatic height, i.e. the hypothetical height it would have after 16 the atmospheric column it belongs to has reached hydrostatic balance through adiabatic 17 vertical displacements of air parcels. The Lagrange multiplier λ introduced in Hamilton’s 18 principle to slave density to potential temperature is identified as the non-hydrostatic ver- 19 tical displacement, i.e. -
Entropy Stable Numerical Approximations for the Isothermal and Polytropic Euler Equations
ENTROPY STABLE NUMERICAL APPROXIMATIONS FOR THE ISOTHERMAL AND POLYTROPIC EULER EQUATIONS ANDREW R. WINTERS1;∗, CHRISTOF CZERNIK, MORITZ B. SCHILY, AND GREGOR J. GASSNER3 Abstract. In this work we analyze the entropic properties of the Euler equations when the system is closed with the assumption of a polytropic gas. In this case, the pressure solely depends upon the density of the fluid and the energy equation is not necessary anymore as the mass conservation and momentum conservation then form a closed system. Further, the total energy acts as a convex mathematical entropy function for the polytropic Euler equations. The polytropic equation of state gives the pressure as a scaled power law of the density in terms of the adiabatic index γ. As such, there are important limiting cases contained within the polytropic model like the isothermal Euler equations (γ = 1) and the shallow water equations (γ = 2). We first mimic the continuous entropy analysis on the discrete level in a finite volume context to get special numerical flux functions. Next, these numerical fluxes are incorporated into a particular discontinuous Galerkin (DG) spectral element framework where derivatives are approximated with summation-by-parts operators. This guarantees a high-order accurate DG numerical approximation to the polytropic Euler equations that is also consistent to its auxiliary total energy behavior. Numerical examples are provided to verify the theoretical derivations, i.e., the entropic properties of the high order DG scheme. Keywords: Isothermal Euler, Polytropic Euler, Entropy stability, Finite volume, Summation- by-parts, Nodal discontinuous Galerkin spectral element method 1. Introduction The compressible Euler equations of gas dynamics ! ! %t + r · (%v ) = 0; ! ! ! ! ! ! (1.1) (%v )t + r · (%v ⊗ v ) + rp = 0; ! ! Et + r · (v [E + p]) = 0; are a system of partial differential equations (PDEs) where the conserved quantities are the mass ! % ! 2 %, the momenta %v, and the total energy E = 2 kvk + %e. -
Chapter 5 Dimensional Analysis and Similarity
Chapter 5 Dimensional Analysis and Similarity Motivation. In this chapter we discuss the planning, presentation, and interpretation of experimental data. We shall try to convince you that such data are best presented in dimensionless form. Experiments which might result in tables of output, or even mul- tiple volumes of tables, might be reduced to a single set of curves—or even a single curve—when suitably nondimensionalized. The technique for doing this is dimensional analysis. Chapter 3 presented gross control-volume balances of mass, momentum, and en- ergy which led to estimates of global parameters: mass flow, force, torque, total heat transfer. Chapter 4 presented infinitesimal balances which led to the basic partial dif- ferential equations of fluid flow and some particular solutions. These two chapters cov- ered analytical techniques, which are limited to fairly simple geometries and well- defined boundary conditions. Probably one-third of fluid-flow problems can be attacked in this analytical or theoretical manner. The other two-thirds of all fluid problems are too complex, both geometrically and physically, to be solved analytically. They must be tested by experiment. Their behav- ior is reported as experimental data. Such data are much more useful if they are ex- pressed in compact, economic form. Graphs are especially useful, since tabulated data cannot be absorbed, nor can the trends and rates of change be observed, by most en- gineering eyes. These are the motivations for dimensional analysis. The technique is traditional in fluid mechanics and is useful in all engineering and physical sciences, with notable uses also seen in the biological and social sciences. -
Introduction to Compressible Computational Fluid Dynamics James S
Introduction to Compressible Computational Fluid Dynamics James S. Sochacki Department of Mathematics James Madison University [email protected] Abstract This document is intended as an introduction to computational fluid dynamics at the upper undergraduate level. It is assumed that the student has had courses through three dimensional calculus and some computer programming experience with numer- ical algorithms. A course in differential equations is recommended. This document is intended to be used by undergraduate instructors and students to gain an under- standing of computational fluid dynamics. The document can be used in a classroom or research environment at the undergraduate level. The idea of this work is to have the students use the modules to discover properties of the equations and then relate this to the physics of fluid dynamics. Many issues, such as rarefactions and shocks are left out of the discussion because the intent is to have the students discover these concepts and then study them with the instructor. The document is used in part of the undergraduate MATH 365 - Computation Fluid Dynamics course at James Madi- son University (JMU) and is part of the joint NSF Grant between JMU and North Carolina Central University (NCCU): A Collaborative Computational Sciences Pro- gram. This document introduces the full three-dimensional Navier Stokes equations. As- sumptions to these equations are made to derive equations that are accessible to un- dergraduates with the above prerequisites. These equations are approximated using finite difference methods. The development of the equations and finite difference methods are contained in this document. Software modules and their corresponding documentation in Fortran 90, Maple and Matlab can be downloaded from the web- site: http://www.math.jmu.edu/~jim/compressible.html. -
Non-Steady, Isothermal Gas Pipeline Flow
RICE UNIVERSITY NON-STEADY, ISOTHERMAL GAS PIPELINE FLOW Hsiang-Yun Lu A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE DEGREE OF MASTER OF SCIENCE Thesis Director's Signature Houston, Texas May 1963 ABSTRACT What has been done in this thesis is to derive a numerical method to solve approximately the non-steady gas pipeline flow problem by assum¬ ing that the flow is isothermal. Under this assumption, the application of this method is restricted to the following conditions: (1) A variable rate of heat transfer through the pipeline is assumed possible to make the flow isothermal; (2) The pipeline is very long as compared with its diameter, the skin friction exists in the pipe, and the velocity and the change of ve¬ locity aYe small. (3) No shock is permitted. 1 The isothermal assumption takes the advantage that the temperature of the entire flow is constant and therefore the problem is solved with¬ out introducing the energy equation. After a few transformations the governing differential equations are reduced to only two simultaneous ones containing the pressure and mass flow rate as functions of time and distance. The solution is carried out by a step-by-step method. First, the simultaneous equations are transformed into three sets of simultaneous difference equations, and then, solve them by computer (e.g., IBM 1620 ; l Computer which has been used to solve the examples in this thesis). Once the pressure and the mass flow rate of the flow have been found, all the other properties of the flow can be determined. -
Entropy 2006, 8, 143-168 Entropy ISSN 1099-4300
Entropy 2006, 8, 143-168 entropy ISSN 1099-4300 www.mdpi.org/entropy/ Full paper On the Propagation of Blast Wave in Earth′s Atmosphere: Adiabatic and Isothermal Flow R.P.Yadav1, P.K.Agarwal2 and Atul Sharma3, * 1. Department of Physics, Govt. P.G. College, Bisalpur (Pilibhit), U.P., India Email: [email protected] 2. Department of Physics, D.A.V. College, Muzaffarnagar, U.P., India Email: [email protected] 3. Department of Physics, V.S.P. Govt. College, Kairana (Muzaffarnagar), U.P., India Email:[email protected] Received: 11 April 2006 / Accepted: 21 August 2006 / Published: 21 August 2006 __________________________________________________________________________________ Abstract Adiabatic and isothermal propagations of spherical blast wave produced due to a nuclear explosion have been studied using the Energy hypothesis of Thomas, in the nonuniform atmosphere of the earth. The explosion is considered at different heights. Entropy production is also calculated along with the strength and velocity of the shock. In both the cases; for adiabatic and isothermal flows, it has been found that shock strength and shock velocity are larger at larger heights of explosion, in comparison to smaller heights of explosion. Isothermal propagation leads to a smaller value of shock strength and shock velocity in comparison to the adiabatic propagation. For the adiabatic case, the production of entropy is higher at higher heights of explosion, which goes on decreasing as the shock moves away from the point of explosion. However for the isothermal shock, the calculation of entropy production shows negative values. With negative values for the isothermal case, the production of entropy is smaller at higher heights of explosion, which goes on increasing as the shock moves away from the point of explosion. -
Maximum Thermodynamic Power Coefficient of a Wind Turbine
Received: 17 April 2019 Revised: 22 November 2019 Accepted: 10 December 2019 DOI: 10.1002/we.2474 RESEARCH ARTICLE Maximum thermodynamic power coefficient of a wind turbine J. M. Tavares1,2 P. Patrício1,2 1ISEL—Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Avenida Abstract Conselheiro Emído Navarro, Lisboa, Portugal According to the centenary Betz-Joukowsky law, the power extracted from a wind turbine in 2Centro de Física Teórica e Computacional, Universidade de Lisboa, Lisboa, Portugal open flow cannot exceed 16/27 of the wind transported kinetic energy rate. This limit is usually interpreted as an absolute theoretical upper bound for the power coefficient of all wind turbines, Correspondence but it was derived in the special case of incompressible fluids. Following the same steps of Betz J. M. Tavares, ISEL—Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de classical derivation, we model the turbine as an actuator disk in a one dimensional fluid flow Lisboa, Avenida Conselheiro Emído Navarro, but consider the general case of a compressible reversible fluid, such as air. In doing so, we are Lisboa, Portugal. obliged to use not only the laws of mechanics but also and explicitly the laws of thermodynamics. Email: [email protected] We show that the power coefficient depends on the inlet wind Mach number M0,andthatits Funding information maximum value exceeds the Betz-Joukowsky limit. We have developed a series expansion for Fundação para a Ciência e a Tecnologia, the maximum power coefficient in powers of the Mach number M0 that unifies all the cases Grant/Award Number: UID/FIS/00618/2019 2 (compressible and incompressible) in the same simple expression: max = 16∕27 + 8∕243M0. -
An Asymptotic-Preserving All-Speed Scheme for the Euler and Navier-Stokes Equations
An Asymptotic-Preserving all-speed scheme for the Euler and Navier-Stokes equations Floraine Cordier1;2;3, Pierre Degond2;3, Anela Kumbaro1 1 CEA-Saclay DEN, DM2S, SFME, LETR F-91191 Gif-sur-Yvette, France. fl[email protected], [email protected] 2 Universit´ede Toulouse; UPS, INSA, UT1, UTM ; Institut de Math´ematiquesde Toulouse ; F-31062 Toulouse, France. 3 CNRS; Institut de Math´ematiquesde Toulouse UMR 5219 ; F-31062 Toulouse, France. [email protected] Abstract We present an Asymptotic-Preserving 'all-speed' scheme for the simulation of compressible flows valid at all Mach-numbers ranging from very small to order unity. The scheme is based on a semi-implicit discretization which treats the acoustic part implicitly and the convective and diffusive parts explicitly. This discretiza- tion, which is the key to the Asymptotic-Preserving property, provides a consistent approximation of both the hyperbolic compressible regime and the elliptic incom- pressible regime. The divergence-free condition on the velocity in the incompress- ible regime is respected, and an the pressure is computed via an elliptic equation resulting from a suitable combination of the momentum and energy equations. The implicit treatment of the acoustic part allows the time-step to be independent of the Mach number. The scheme is conservative and applies to steady or unsteady flows and to general equations of state. One and Two-dimensional numerical results provide a validation of the Asymptotic-Preserving 'all-speed' properties. Key words: Low Mach number limit, Asymptotic-Preserving, all-speed, compressible arXiv:1108.2876v1 [math-ph] 14 Aug 2011 flows, incompressible flows, Navier-Stokes equations, Euler equations. -
Unit I Basic Concepts and Isentropic Flows
UNIT I BASIC CONCEPTS AND ISENTROPIC FLOWS Introduction The purpose of this applet is to simulate the operation of a converging-diverging nozzle, perhaps the most important and basic piece of engineering hardware associated with propulsion and the high speed flow of gases. This device was invented by Carl de Laval toward the end of the l9th century and is thus often referred to as the 'de Laval' nozzle. This applet is intended to help students of compressible aerodynamics visualize the flow through this type of nozzle at a range of conditions. Technical Background The usual configuration for a converging diverging (CD) nozzle is shown in the figure. Gas flows through the nozzle from a region of high pressure (usually referred to as the chamber) to one of low pressure (referred to as the ambient or tank). The chamber is usually big enough so that any flow velocities here are negligible. The pressure here is denoted by the symbol p c. Gas flows from the chamber into the converging portion of the nozzle, past the throat, through the diverging portion and then exhausts into the ambient as a jet. The pressure of the ambient is referred to as the 'back pressure' and given the symbol p b. 1 A diffuser is the mechanical device that is designed to control the characteristics of a fluid at the entrance to a thermodynamic open system . Diffusers are used to slow the fluid's velocity and to enhance its mixing into the surrounding fluid. In contrast, a nozzle is often intended to increase the discharge velocity and to direct the flow in one particular direction.