利用Cu-MoS2杂化纳米材料提高热效率:数值和统计方法

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Khursheed Muhammad, Mahnoor Sarfraz, N. Ameer Ahammad, Ibrahim E. Elseesy
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引用次数: 0

摘要

由于其组成材料之间的协同相互作用,混合纳米流体表现出增强的热学和输运特性。在这项研究中,我们提出了一种新的研究围绕拉伸圆柱体的混合纳米流体的流动特性。我们的方法是将二硫化钼和铜纳米颗粒整合到水基流体中。它考虑沿z轴拉伸,深入研究传热和统计方面,同时考虑热辐射和焦耳热效应,并假设可忽略的耗散效应。此外,混合纳米流体渗透到圆柱体上方的定位多孔介质中。本文有助于更深入地了解复杂条件下的混合纳米流体行为和传热,最终有助于优化和设计各种工程和工业过程。观测结果显示,由于热和速度滑移效应,能量和流场属性显著降低。同时,热辐射显著增加了能量输运和努塞尔数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving thermal efficiency through Cu-MoS2 hybrid nanomaterials: A numerical and statistical approach
Hybrid nanofluids exhibit enhanced thermal and transport properties due to synergistic interactions between their constituent materials. In this study, we present a novel investigation into the flow characteristics of a hybrid nanofluid surrounding a stretching cylinder. Our approach involves integrating molybdenum disulfide and copper nanoparticles into a water-based fluid. It considers stretching along the z-axis and delves into heat transfer and statistical aspects while accounting for thermal radiation and Joule heating effects and assuming negligible dissipation effects. Moreover, the hybrid nanofluid permeates a positioned porous medium above the cylinder. The article contributes to a deeper understanding of mixed nanofluid behavior and heat transfer within intricate conditions, ultimately aiding in the optimization and design of diverse engineering and industrial processes. Observations display a substantial decrease in energy and flow field attributes as a result of thermal and velocity slip effects. Also, the thermal radiation augments the energy transport and Nusselt number significantly.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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