Numerical simulation for heat optimization via nanofluid in the presence of activation energy: A case of dust particles

Q1 Chemical Engineering
Bilal Ahmad , Bagh Ali , Muhammad Ozair Ahmed
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引用次数: 0

Abstract

Researchers and manufacturers’ primary focus is on the dissipation of energy throughout the heat transfer process. The use of traditional fluids, which have poor heat transfer qualities, was the primary cause of the inefficiency of heat exchange devices during transportation. Conversely, when we replaced the fluids with nanofluids that possessed favorable thermal conductivity qualities, thermal devices performed better. We utilized a variety of nanoparticles due to their high heat conductivity. This study examines the importance of using nanofluid in flow of heat transfer. The model of flow consisted of partial differential equations (PDEs) representing equations for concentration, momentum, energy transmission, and continuity. We transformed the generated model into ordinary differential equations (ODEs) using feasible analogies. The MATLAB environment was used to perform numerical simulations that established the profiles of concentration, velocity, and thermal transfer. We also evaluated the effects of a wide range of factors, including Deborah, Hartman, buoyancy, the size of an external heat source, and other chemical reactions. Nanoparticles increase thermal conductivity. We also juxtapose the results with those from previously published studies. Furthermore, as the Nusselt number and skin friction increase, they exhibit a positive correlation with the variables linked to the Hartman number and buoyancy parameter. The heat transfer rates are 29.26%. 37.12 In the order mentioned, as a result, heat transmission rates increased by 14.23%. There is no text provided. At higher levels of the MHD fluid parameter, the temperature profiles dropped and the velocity profiles rose. The temperature profile rises as the external heat source gets stronger. On the contrary, the buoyancy parameters rise as it goes down. This topic is relevant in various domains, including heat exchangers, electronic device cooling, and automotive cooling systems.
存在活化能时纳米流体热优化的数值模拟:以尘埃颗粒为例
研究人员和制造商的主要焦点是在整个传热过程中的能量耗散。传统流体的传热性能差,是运输过程中换热装置效率低下的主要原因。相反,当我们用具有良好导热性的纳米流体代替流体时,热器件的性能更好。由于纳米颗粒的高导热性,我们使用了各种纳米颗粒。本研究探讨了纳米流体在传热流动中的重要性。流动模型由代表浓度、动量、能量传递和连续性方程的偏微分方程(PDEs)组成。我们使用可行类比将生成的模型转换为常微分方程(ode)。利用MATLAB环境进行数值模拟,建立了浓度、速度和传热分布。我们还评估了一系列因素的影响,包括黛博拉、哈特曼、浮力、外部热源的大小和其他化学反应。纳米颗粒增加了导热性。我们还将结果与先前发表的研究结果并置。此外,随着努塞尔数和表面摩擦力的增加,它们与哈特曼数和浮力参数相关的变量呈正相关。换热率为29.26%。37.12在上述顺序中,传热率增加了14.23%。没有提供任何文本。当MHD流体参数较高时,温度曲线下降,速度曲线上升。温度分布随着外部热源强度的增大而升高。相反,浮力参数随着它的下降而上升。本主题涉及换热器、电子设备冷却、汽车冷却系统等多个领域。
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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来源期刊
International Journal of Thermofluids
International Journal of Thermofluids Engineering-Mechanical Engineering
CiteScore
10.10
自引率
0.00%
发文量
111
审稿时长
66 days
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