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prediction of entrance length for magnetohydrodynamics channels flow using numerical simulation and artificial neural network
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نویسنده
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taheri mohammad hasan ,askari nematollah ,mahdavi mohammad hadi
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منبع
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journal of applied and computational mechanics - 2020 - دوره : 6 - شماره : 3 - صفحه:582 -592
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چکیده
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This paper focuses on using the numerical finite volume method (fvm) and artificial neural network (ann) in order to propose a correlation for computing the entrance length of laminar magnetohydrodynamics (mhd) channels flow. in the first step, for different values of the reynolds (re) and hartmann (ha) numbers (600
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کلیدواژه
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artificial neural network ,channel ,magnetohydrodynamics ,mhd entrance length ,numerical simulation
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آدرس
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technical and vocational university (tvu), behshahr branch, faculty of imam khomeini, department of mechanical engineering, iran, technical and vocational university (tvu), behshahr branch, faculty of imam khomeini, department of mechanical engineering, iran, technical and vocational university (tvu), behshahr branch, faculty of imam khomeini, department of mechanical engineering, iran
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پست الکترونیکی
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mahdavimohammadhadi@yahoo.com
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Authors
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