Evaluation Optimal Friction Factor Correlation in Turbulent Pipe Flow by Genetic Algorithm

Yousif, Qais and Alomar, Omar and Mohamed, Ibrahim and Najm, Majid (2020) Evaluation Optimal Friction Factor Correlation in Turbulent Pipe Flow by Genetic Algorithm. In: IMDC-SDSP 2020, 28-30 June 2020, Cyberspace.

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The prediction accuracies of friction factor correlations in turbulent pipe flow have remained unsatisfactory due to Colebrook equation is characterized as an implicit correlation. Thus, this works deals with numerical simulation for optimization the correlation of friction factor (fD) in turbulent pipe flow. Genetic Algorithms (GAs) method has been used to evaluate the accuracy of six most used explicit models as an alternative to the Colebrook equation. The fD has been estimated for higher ranges of Reynolds Number (Re) and the relative roughness of pipe (ε⁄D). The evaluation process has been implemented through comparing the percentage of differences between the values of fD obtained using those correlations with that obtained using Colebrook equation. The optimized results clearly show that the Model-1 and Model-5 provide the lowest percentage of difference as compared to the other explicit models. Results indicated that GAs has succeeded in reducing the computational time by eliminating the iterative process.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: colebrook equation friction factor genetic algorithms
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: EAI Editor III.
Date Deposited: 26 Feb 2021 16:14
Last Modified: 26 Feb 2021 16:14
URI: https://eprints.eudl.eu/id/eprint/1082

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