利用人工神经网络方法定量分析穿过可变多孔卡农缺口的具有双重扩散的麦克斯韦流体流动

IF 2.2 4区 化学 Q3 CHEMISTRY, PHYSICAL
Arshad Khan, Fuad A. Awwad, Emad A. A. Ismail, Taza Gul
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引用次数: 0

摘要

本研究探讨了受可变多孔空间上双重扩散影响的锥体和圆盘可变多孔空间中的麦克斯韦流体流动。在这项研究中,热量和质量的传递受到傅立叶定律和菲克定律的共同影响,因此采用 Cattaneo-Christov 提出的热量和质量通量假设来描述这些传递现象。通过使用一组适当的变量,模型方程被转换为无量纲形式。然后使用人工神经网络(ANN)求解这组无量纲方程。为此,首先使用 HAM(同调分析法)对模型方程进行评估,然后使用 Levenberg Marquardt Scheme through Neural Network Algorithm (LMS-NNA) 分析流动动态。流体模型的最佳性能出现在 10、08、427、164、203、146、101、130、255、298、166 和 222 个历元上。在这项工作中,接近于统一是一个关键的观察结果,它标志着所提出模型的 LMS-NNA 设计具有很高的精确度。孔隙度系数与一级速度剖面相反,但对二级速度剖面有支持作用。此外,一级速度剖面随着麦克斯韦系数的增加而减小,而二级速度面板则随着延迟时间系数的增加而减慢。热分布因热泳系数和布朗运动系数的增加而得到支持,因普朗特数的增加而受到反对。浓度分布随着热泳系数的增加而增加,随着系数、施密特数和浓度松弛时间系数的增加而减少。在这项工作中还观察到,可变多孔空间控制了流体流动,并保持了锥体和圆盘装置之间麦克斯韦流体流动的稳定性。在所有 12 种情况下,所提出模型的测试、训练和验证都达到了最大误差,并以表格形式进行了数值讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantitative analysis of Maxwell fluid flow with dual diffusion through the variable porous canonical gap using artificial neural network approach

Quantitative analysis of Maxwell fluid flow with dual diffusion through the variable porous canonical gap using artificial neural network approach

This work investigates the Maxwell fluid flow in the variable porous space of cone and disc influenced by double diffusion on a variable porous space. In this study, the heat and mass transfer is influenced by the combined effects of Fourier’s and Fick’s laws, leading to heat and mass flux assumptions proposed by Cattaneo-Christov to characterize these transfer phenomena. The modeled equations have been converted to dimensionless form by using a suitable set of appropriate variables. This set of dimensionless equations was then solved by using artificial neural networks (ANNs). For this, initially, HAM (homotopy analysis method) has been used for the evaluation of modeled equations, and then, to analyze the dynamics of flow, Levenberg Marquardt Scheme through Neural Network Algorithm (LMS-NNA) has been employed. The optimal performance of the fluid model is observed at the epoch 10, 08, 427, 164, 203, 146, 101, 130, 255, 298, 166, and 222. The proximity to unity is a pivotal observation in this work that has been signifying a high degree of precision in the LMS-NNA design for the proposed model. The porosity factor has opposed the primary velocity profiles and has supported the secondary velocity profiles. Moreover, primary velocity profiles have declined with growth in Maxwell factor while secondary velocity panels have retarded by the upsurge in the retardation time factor. Thermal distribution has been supported by progression in thermophoresis and Brownian motion factors and has been opposed by escalation in the Prandtl number. Concentration distribution has augmented with the upsurge in thermophoresis factor and has declined with the escalation in factor, Schmidt number, and concentration relaxation time factor. It has been also observed in this work that the variable porous space controls the fluid flow and maintains the stability of Maxwell fluid flow between the cone and disc apparatus. The maximum error for testing, training, and validation of the proposed model is achieved for all 12 cases and discussed numerically in tabular form.

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来源期刊
Colloid and Polymer Science
Colloid and Polymer Science 化学-高分子科学
CiteScore
4.60
自引率
4.20%
发文量
111
审稿时长
2.2 months
期刊介绍: Colloid and Polymer Science - a leading international journal of longstanding tradition - is devoted to colloid and polymer science and its interdisciplinary interactions. As such, it responds to a demand which has lost none of its actuality as revealed in the trends of contemporary materials science.
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