Related InterviewSolutions

• To get the gradient of the flow variable using the Green-Gauss Theorem, which of these theorems is used?(a) Mean value theorem(b) Stolarsky mean(c) Racetrack principle(d) Newmark-beta methodThis question was addressed to me in an interview.My question is based upon Diffusion Problem topic in portion Diffusion Problem of Computational Fluid Dynamics
• Non-orthogonality leads to ________ in diffusion problems.(a) cubic-diffusion(b) less-diffusion(c) additional-diffusion(d) cross-diffusionI had been asked this question in unit test.Question is from Diffusion Problem topic in section Diffusion Problem of Computational Fluid Dynamics
• I general, for all the steady-state diffusion problems, the discretized equation can be given as aPΦ P = ∑anbΦnb-S. For a one-dimensional problem, which of these is wrong?(a) ∑anb =aT+aB(b) ∑anb =aS+ aN(c) ∑anb =aW+aE(d) ∑anb =aP+aEI had been asked this question in unit test.My question is taken from FVM for Multi-dimensional Steady State Diffusion in chapter Diffusion Problem of Computational Fluid Dynamics
• What is the advantage of the least-square method over the other methods?(a) Computational ease(b) Accuracy(c) Flexibility(d) StabilityI got this question by my college director while I was bunking the class.The query is from Diffusion Problem topic in chapter Diffusion Problem of Computational Fluid Dynamics
• What is the final form of the Green-Gauss gradient method for finding the gradient of Φ over element C?(a) ∇ΦC=∑f~nb(c)Φf \(\vec{S_f}\)(b) ∇ΦC=1/VC∑f~nb(c)Φf \(\vec{S_f}\)(c) ∇ΦC=1/VC∑f~nb(c)Φf(d) ∇ΦC=1/VC∑f~nb(c)af ΦfThe question was posed to me by my college professor while I was bunking the class.My question is taken from Diffusion Problem in division Diffusion Problem of Computational Fluid Dynamics
• Which of the following is correct regarding the cell numbered “13”?(a) aE=0; aW=0(b) aW=0; aN=0(c) aN=0; aS=0(d) aS=0; aW=0I got this question by my college professor while I was bunking the class.The doubt is from FVM for Multi-dimensional Steady State Diffusion topic in division Diffusion Problem of Computational Fluid Dynamics
• The least-square method is exact when ____________(a) the system is two-dimensional(b) the system is linear(c) the system is two-dimensional(d) the system is quadraticI had been asked this question in exam.I want to ask this question from Diffusion Problem topic in chapter Diffusion Problem of Computational Fluid Dynamics
• The zero sum rule and the opposite signs rule are applicable to _______________(a) each discretized equation(b) the global matrix(c) the coefficients of each discretized equation(d) the coefficient matrixI got this question in unit test.This interesting question is from Diffusion Problem topic in division Diffusion Problem of Computational Fluid Dynamics
• The flow variable at the vertex node is calculated using the weighted average of the values at the cells sharing it. What is the weight used here?(a) Inverse of the distance of the vertex from the cell centroid(b) Distance of the vertex from the cell(c) Centroids of the cells(d) Mass of the cellsThis question was posed to me in homework.The origin of the question is Diffusion Problem topic in section Diffusion Problem of Computational Fluid Dynamics
• In the absence of any source or sink, the steady-state diffusion problem is governed by _______________(a) Fourier series(b) Linear interpolation(c) Taylor series(d) Second order interpolationThis question was addressed to me in an interview for job.My question is taken from Diffusion Problem topic in chapter Diffusion Problem of Computational Fluid Dynamics