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利用傅立叶能量和菲克质量通量理论对可拉伸表面三维流体流动进行数值和智能神经计算建模

IF 5.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Engineering Applications of Computational Fluid Mechanics Pub Date : 2023-10-31 DOI:10.1080/19942060.2023.2270675
Saleem Nasir, Abdallah S. Berrouk
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引用次数: 0

摘要

目前的工作探索了磁流体动力学和混合对流边界层流动的复杂性，涉及通过3D可拉伸表面的耦合应力Casson纳米流体（CSCNF）动力学。广告。。。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Numerical and intelligent neuro-computational modelling with Fourier’s energy and Fick’s mass flux theory of 3D fluid flow through a stretchable surface
Current work explores the intricacies of magnetohydrodynamic and mix convectional boundary-layer flow concerning couple stress Casson nanofluid (CSCNF) dynamics via a 3D stretchable surface. The ad...
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来源期刊
Engineering Applications of Computational Fluid Mechanics
Engineering Applications of Computational Fluid Mechanics ENGINEERING, MULTIDISCIPLINARY-ENGINEERING, MECHANICAL
CiteScore
10.60
自引率
14.80%
发文量
109
审稿时长
3.4 months
期刊介绍： The aim of Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The journal is a truly interdisciplinary forum and publishes original contributions on the latest advances in numerical methods in fluid mechanics and their applications to various engineering fields including aeronautic, civil, environmental, hydraulic and mechanical. The journal has a distinctive and balanced international contribution, with emphasis on papers addressing practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those fostering the thorough understanding of the physics of fluid motion. It is an open access journal.
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