A Comparative Study Between 1D and 3D Computational Results for Turbulent Flow in an Exhaust Manifold and in Bent Pipes

2009 ◽  
Author(s):  
Ulrica Renberg ◽  
Hans-Erik Angstrom ◽  
Laszlo Fuchs
Keyword(s):  
Comparative Study ◽  
Turbulent Flow ◽  
Computational Results ◽  
Exhaust Manifold

A Comparative Study of the Turbulent Flow Over a Periodic Arrangement of Smoothly Contoured Hills

2006 ◽  
pp. 635-642 ◽  
Author(s):  
Michael Breuer ◽  
Benoit Jaffrézic ◽  
Nikolaus Peller ◽  
Michael Manhart ◽  
Jochen Fröhlich ◽  
...  
Keyword(s):  
Comparative Study ◽  
Turbulent Flow ◽  
Periodic Arrangement

A Comparative Study of Constrained and Unconstrained Melting Inside a Sphere

2020 ◽  
Author(s):  
Rohit Kothari ◽  
Shripad T. Revankar ◽  
Santosh K. Sahu ◽  
Shailesh I. Kundalwal
Keyword(s):  
Boundary Conditions ◽  
Comparative Study ◽  
Computational Analysis ◽  
Computational Results ◽  
Melting Fraction ◽  
Initial And Boundary Conditions ◽  
Spherical Capsule ◽  
Good Agreement

Abstract Present study is focused on the computational analysis of melting of PCM inside the spherical capsule. Both unconstrained and constrained melting is analyzed for the constant PCM volume and similar initial and boundary conditions. RT27 is chosen as the PCM for this study. Air is considered at the top of PCM inside the spherical capsule. Results are validated with the existing experimental and computational results and found to be in good agreement. Results obtained from present study are compared for the melting fraction, pattern and time. Composite diagrams are presented for the streamline and temperature contours.

scholarly journals Comparative Study between Generalized Maximum Entropy and Bayes Methods to Estimate the Four Parameter Weibull Growth Model

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Saifaldin Hashim Kamar ◽  
Basim Shlaibah Msallam
Keyword(s):  
Standard Deviation ◽  
Comparative Study ◽  
Maximum Entropy ◽  
Growth Model ◽  
Maximum A Posteriori ◽  
Computational Results ◽  
A Posteriori ◽  
Bayes Method ◽  
Bayes Methods ◽  
Generalized Maximum Entropy

The Weibull growth model is an important model especially for describing the growth instability; therefore, in this paper, three methods, namely, generalized maximum entropy, Bayes, and maximum a posteriori, for estimating the four parameter Weibull growth model have been presented and compared. To achieve this aim, it is necessary to use a simulation technique to generate the samples and perform the required comparisons, using varying sample sizes (10, 12, 15, 20, 25, and 30) and models depending on the standard deviation (0.5). It has been shown from the computational results that the Bayes method gives the best estimates.

The Experimental Study and Numerical Simulation of Turbulent Flow in Pumping Forebay

2009 ◽  
Author(s):  
Chao Liu ◽  
Jiren Zhou ◽  
Li Cheng
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Turbulent Flow ◽  
Three Dimensional ◽  
Computational Results ◽  
Experiment Study ◽  
Study Results ◽  
Measurement Results ◽  
Good Agreement ◽  
Made In

The experiment study was made to optimize the design of a pumping forebay. The Combined-sills were made in the forebay to eliminate the circulation and vortices of the diffusing flow successfully. The Numerical simulation of three-dimensional turbulent flow is applied on the complicate fore-and-aft flow of sills. The computational results are compared with the measurement results of physical model. The calculated results are in good agreement with the experimental data. The flow pattern is obviously improved. The study results have been applied in the project which gives a uniform approach flow to the pumping sump.

scholarly journals A comparative study of smoothing approximations

1996 ◽  
Vol 38 (2) ◽  
pp. 194-200 ◽  
Author(s):  
X. Q. Yang
Keyword(s):  
Comparative Study ◽  
Optimization Problem ◽  
Nondifferentiable Optimization ◽  
Optimization Problems ◽  
Approximation Methods ◽  
Computational Results ◽  
Composite Optimization ◽  
Error Analyses

AbstractIt is known that many optimization problems can be reformulated as composite optimization problems. In this paper error analyses are provided for two kinds of smoothing approximation methods of a unconstrained composite nondifferentiable optimization problem. Computational results are presented for nondifferentiable optimization problems by using these smoothing approximation methods. Comparisons are made among these methods.

Analogy between turbulent flows in curved pipes and orthogonally rotating pipes

1996 ◽  
Vol 307 ◽  
pp. 1-10 ◽  
Author(s):  
Hiroshi Ishigaki
Keyword(s):  
Heat Transfer ◽  
Experimental Data ◽  
Turbulent Flow ◽  
Turbulent Flows ◽  
Laminar Flows ◽  
Computational Results ◽  
Transfer Rates ◽  
Fundamental Parameters ◽  
Curved Pipes ◽  
Friction Factors

A quantitative analogy between fully developed turbulent flows in curved pipes and orthogonally rotating pipes will be described through similarity arguments, the use of experimental data and computational results. A pair of similarity parameters will be derived for each turbulent flow, so that they have the same dynamical meaning as those of laminar flows. When the second parameter for each flow is large enough, it will be shown that friction factors, as well as heat transfer rates, of the two flows coincide for equal values of the fundamental parameters. Computed contours of velocity and temperature will also reveal strong similarities between the two flows.

scholarly journals A modified k - ε model of turbulence

1970 ◽  
Vol 38 ◽  
pp. 14-17 ◽  
Author(s):  
Showkat Jahan Chowdhury
Keyword(s):  
Experimental Data ◽  
Turbulent Flow ◽  
Turbulent Flows ◽  
Mechanical Engineering ◽  
Computer Code ◽  
Computational Results ◽  
Consistent Model ◽  
Model Predictions ◽  
Computational Code ◽  
Flow Through

 In this paper, the parameters of a thermodynamically consistent k - ε model of turbulence are first determined, and the numerical values of the various model coefficients are evaluated. Limiting flows of a decaying homogeneous turbulence, turbulent flow in the inertial sublayer, and known properties of purely diffusive turbulence are used for this purpose. The thermodynamically consistent model is then incorporated into an enhanced version of the TEACH computer code called STARPIC. Finally, the modified computational code is used to simulate the flow through a channel to assess its capability in predicting turbulent flows. The computational results are compared with available experimental data, and found to have reasonable matching. The flows are also simulated using standard k - ε model, for comparison. It is observed that the present thermodynamically consistent modified k - ε model predictions are better compared to the standard k - ε model predictions.DOI: 10.3329/jme.v38i0.895 Journal of Mechanical Engineering Vol.38 Dec. 2007 pp.14-17  

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