CFD simulation for evaluation of optimum heat transfer rate in a heat exchanger of an internal combustion engine

Q3 Mathematics

International Journal for Simulation and Multidisciplinary Design Optimization Pub Date : 2020-01-01 DOI:10.1051/smdo/2019017

Rajesh Kocheril, Jacob Elias

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引用次数: 7

Abstract

Heat exchanger is an essential component of an engine cooling system. Radiators are compact heat exchangers used to transfer the heat absorbed from engine to the cooling media. The jacket cooling water gets cooled and re-circulated into system after exchanging the heat with cooling water in a heat exchanger. Conventional fluids like water, oil, ethylene glycol, etc. possess less heat transfer performance; therefore, it is essential to have a compact and effective heat transfer system to obtain the required heat transfer. A reduction in energy consumption is possible by improving the performance of heat exchanging systems and incorporating various heat transfer enhancement techniques. In this paper, the heat transfer rate using nano-sized ferrofluid with and without magnetization is analysed using CFD simulation and compared with the experimental values obtained from a heat exchanger using water as base fluid. The heat transfer rate is measured using different combinations by varying the percentage of nano particles and by introduction of different magnetic intensity (gauss) on to the ferrofluid. The optimum heat transfer rate and efficiency of heat exchanger is calculated with the different combinations and the values are compared with the values of CFD simulation. CFD simulation was undertaken for water alone as cooling media and for water with ferro particle addition from 2% to 5%. The difference in temperature observed to be similar with experimental values. The deviation is within the acceptable limit and therefore the experimental findings are validated. The experiment was conducted on a parallel flow heat exchanger with water alone as cooling media, water with varying percentage of ferro fluid and water with varying magnetic intensity on ferrofluid. Percentage of ferro particles added up to where the optimum temperature difference could be obtained and the magnetic intensity also varied up to the optimum value.

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内燃机热交换器最佳换热速率的CFD模拟

热交换器是发动机冷却系统的重要组成部分。散热器是紧凑的热交换器，用于将从发动机吸收的热量传递到冷却介质。夹套冷却水在热交换器中与冷却水交换热量，冷却后再循环进入系统。传统流体如水、油、乙二醇等传热性能较差;因此，必须有一个紧凑和有效的传热系统，以获得所需的传热。通过改进热交换系统的性能和结合各种传热增强技术，可以减少能源消耗。本文采用CFD模拟分析了纳米铁磁流体在磁化和不磁化条件下的换热速率，并与以水为基材的换热器的实验值进行了比较。通过改变纳米粒子的百分比和在铁磁流体上引入不同的磁场强度(高斯)，使用不同的组合来测量传热率。计算了不同组合下换热器的最佳换热率和效率，并与CFD模拟值进行了比较。分别以水作为冷却介质和铁颗粒添加量为2% ~ 5%的水进行CFD模拟。观察到的温度差与实验值相似。偏差在可接受范围内，因此实验结果得到了验证。在单水、含不同比例铁磁流体的水和含不同磁场强度铁磁流体的水作为冷却介质的并联换热器上进行了实验。铁颗粒的百分比加到可以获得最佳温差的地方，磁场强度也变化到最佳值。

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 for Simulation and Multidisciplinary Design Optimization Mathematics-Control and Optimization

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).