Computational Fluid Dynamics MCQ (Multiple Choice Questions)

Our 1000+ Computational Fluid Dynamics MCQs (Multiple Choice Questions and Answers) focuses on all chapters of Computational Fluid Dynamics covering 100+ topics. You should practice these MCQs for 1 hour daily for 2-3 months. This way of systematic learning will prepare you easily for Computational Fluid Dynamics exams, contests, online tests, quizzes, MCQ-tests, viva-voce, interviews, and certifications.

Computational Fluid Dynamics Multiple Choice Questions Highlights

- 1000+ Multiple Choice Questions & Answers (MCQs) in Computational Fluid Dynamics with a detailed explanation of every question.
- These MCQs cover theoretical concepts, true-false(T/F) statements, fill-in-the-blanks and match the following style statements.
- These MCQs also cover numericals as well as diagram oriented MCQs.
- These MCQs are organized chapterwise and each Chapter is futher organized topicwise.
- Every MCQ set focuses on a specific topic of a given Chapter in Computational Fluid Dynamics Subject.

Who should Practice Computational Fluid Dynamics MCQs?

– Students who are preparing for college tests and exams such as mid-term tests and semester tests on Computational Fluid Dynamics.
- Students who are preparing for Online/Offline Tests/Contests in Computational Fluid Dynamics.
– Students who wish to sharpen their knowledge of Computational Fluid Dynamics Subject.
- Anyone preparing for Aptitude test in Computational Fluid Dynamics.
- Anyone preparing for interviews (campus/off-campus interviews, walk-in interview and company interviews).
- Anyone preparing for entrance examinations and other competitive examinations.
- All - Experienced, Freshers and College / School Students.

Computational Fluid Dynamics Chapters

Here's the list of chapters on the "Computational Fluid Dynamics" subject covering 100+ topics. You can practice the MCQs chapter by chapter starting from the 1st chapter or you can jump to any chapter of your choice.

1. Philosophy of Computational Fluid Dynamics

The section contains multiple choice questions and answers on cfd philosophy, research and design tool, computational fluid dynamics applications, cfd advantages and disadvantages.

Philosophy Research and Design Tool Solution Procedure

Applications Advantages and Disadvantages

2. Some Simple CFD Techniques

The section contains questions and answers on cfd softwares and implicit techniques direction.

CFD Softwares

Alternating Direction Implicit Techniques

3. Governing Equations of Fluid Dynamics

The section contains MCQs on reynolds transport theorem, state equations, flow models, eulerian and lagrangian conservation laws, velocity divergence, substantial derivative, continuity equations on finite control volume and infinitesimally small element, momentum equation, stress and strain tensor, energy equations on thermal properties, euler and Navier Stokes equation.

Reynolds Transport Theorem Equations of State Models of the Flow Eulerian and Lagrangian Conservation Laws Divergence of Velocity Substantial Derivative General Transport Equation Continuity Equation – Finite Control Volume

Continuity Equation – Infinitesimally Small Element Momentum Equation Stress and Strain Tensor Navier Stokes Equation Euler Equation Energy Equation – Based on Thermal Properties Energy Equation – Temperature Terms

4. Boundary Conditions

The section contains multiple choice questions and answers on boundary conditions, boundary conditions on inlet, outlet, symmetry, constant pressure and periodic.

Boundary Conditions Boundary Conditions (Inlet and Outlet)

Boundary Conditions (Wall and Symmetry) Boundary Conditions (Constant Pressure and Periodic)

5. Mathematical Behaviour of Partial Differential Equations

The section contains questions and answers on partial differential equation, pde classification, well posed problems, behaviour of elliptic, parabolic and hyperbolic equations.

Partial Differential Equation Classification of PDE – 1 Classification of PDE – 2 The Behaviour of Elliptic Equations

The Behaviour of Parabolic Equations The Behaviour of Hyperbolic Equations Well Posed Problems

6. Basic Aspects of Discretization, Grid Generation with Appropriate Transformation

The section contains MCQs on discretization, thomas algorithm, discretization consistency, stability and convergence, conservativeness, boundedness, grid generation, errors and stability analysis.

Discretization Thomas Algorithm Consistency Stability Convergence

Conservativeness Boundedness Transportiveness Errors and Stability Analysis Grid Generation

7. Numerical Methods

The section contains multiple choice questions and answers on numerical methods components, mesh topology, discretization approaches, variable arrangements and velocity components, direct and iterative solvers for discretized equations, coupled and non linear equations solution.

Components of Numerical Methods Mesh Topology Discretization Approaches Variable Arrangements and Velocity Components

Direct Solvers for Discretized Equations Iterative Solvers for Discretized Equations Multi-grid Approach for Solving Discretized Equations Solution of Coupled Equations and Non-Linear Equations

8. Finite Difference Methods

The section contains questions and answers on finite difference methods and its errors, explicit and implicit finite difference methods, spectral methods, lax-wendroff and macCormack’s techniques.

Finite Difference Method Explicit and Implicit Finite Difference Methods Spectral Methods

Lax-Wendroff Technique MacCormack’s Technique Errors in Finite Difference Approximations

9. Finite Volume Methods

The section contains MCQs on finite volume method, accuracy order, fvm arrangement, fvm structured and unstructured grids, fvm elements types and geometry.

Finite Volume Method Order of Accuracy Variable Arrangement in FVM Structured Grids in FVM

Unstructured Grids in FVM Types of FVM Elements The Geometry of FVM Elements

10. Turbulence Modelling

The section contains multiple choice questions and answers on turbulence modelling, turbulent flows characteristics and structure, turbulent scale, kolmogorov energy spectrum, free and wall turbulence, turbulent viscosity, turbulent schmidt number, turbulent boundary layer, averaging rules and methods, large eddy simulation, reynolds averaged navier-stokes model, k-epsioln and k-omega model, spalart allmaras model, rng k epsilon, realizable k epsilon, shear stress transport model, y+ concept, turbulence model boundary conditions, filtering and sub grid models.

Turbulence Modelling Characteristics of Turbulent Flows Turbulent Flow Structure Turbulent Scale Kolmogorov Energy Spectrum Free and Wall Turbulence Turbulent Viscosity Turbulent Schmidt Number Turbulent Boundary Layer Methods of Averaging Rules of Averaging Direct Numerical Solution for Turbulent Models Large Eddy Simulation for Turbulent Models

Reynolds Averaged Navier-Stokes Model Mixing Length Turbulence Model K-epsilon Model K-omega Model Spalart Allmaras Model RNG K Epsilon Realizable K Epsilon Shear Stress Transport Model Concept of Y+ Boundary Conditions for Turbulence Model Filtering Sub Grid Models

11. High Resolution Schemes

The section contains questions and answers on high resolution schemes, normalized variable formulation, convection boundedness criterion, tvd framework, high resolution schemes correction, downwind and normalized weighing factor.

High-Resolution Schemes Normalized Variable Formulation Convection Boundedness Criterion

TVD Framework Deferred Correction for High-Resolution Schemes Downwind and Normalized Weighing Factor

12. Diffusion Problem

The section contains MCQs on 1-d steady state diffusion, multi dimensional steady state diffusion, discretization equation rules, orthogonal and non-orthogonal grids, green gauss and least square gradient for cartesian grids.

FVM for 1-D Steady State Diffusion FVM for Multi-dimensional Steady State Diffusion Rules for Discretization Equation

Orthogonal and Non-Orthogonal Grids Green-Gauss Gradient for Cartesian Grids Least-Square Gradient for Cartesian Grids

13. Convection-Diffusion Problems

The section contains multiple choice questions and answers on upwind and downwind schemes, central and hybrid difference schemes, second order upwind scheme, error sources, quick and fromm scheme.

Upwind and Downwind Schemes Central Difference Schemes Hybrid Differencing Scheme Second Order Upwind Scheme

QUICK Scheme FROMM Scheme Error Sources

14. Incompressible Flows & Compressible Flows

The section contains questions and answers on staggered grid, navier stokes equation special features, pressure calculations, rhie-chow interpolation, conservation equation, simple, simpler, simplec and piso algorithms.

Staggered Grid Special Features of Navier Stokes Equation Pressure Correction Equation Calculation of Pressure Rhie-Chow Interpolation

SIMPLE Algorithm SIMPLER Algorithm SIMPLEC Algorithm PISO Algorithm Conservation Equation

15. Transient Flows

The section contains MCQs on two level methods, predictor corrector and multipoint methods, runge kutta method, transient simple and piso algorithms, crank nicolson and adams moulton schemes, non uniform time steps approaches, first and second order finite volume schemes.

Two-level Methods Predictor-Corrector and Multipoint Methods Runge Kutta Method Transient SIMPLE and PISO Algorithms

Crank-Nicolson and Adams-Moulton Schemes First Order Finite Volume Schemes Second Order Finite Volume Schemes Approaches for Non-uniform Time Steps

16. Discretization of the Source Term & Relaxation

The section contains multiple choice questions and answers on source term discretization, under relaxation and residuals.

Source Term Discretization Under-Relaxation

Residuals

If you would like to learn "Computational Fluid Dynamics" thoroughly, you should attempt to work on the complete set of 1000+ MCQs - multiple choice questions and answers mentioned above. It will immensely help anyone trying to crack an exam or an interview.

Wish you the best in your endeavor to learn and master Computational Fluid Dynamics!