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Investigation of shell and tube heat exchangers by using a design of experiment | ||
| Journal of Heat and Mass Transfer Research | ||
| مقاله 1، دوره 1، شماره 2، بهمن 2014، صفحه 59-66 اصل مقاله (1.33 M) | ||
| نوع مقاله: Full Length Research Article | ||
| شناسه دیجیتال (DOI): 10.22075/jhmtr.2014.180 | ||
| نویسندگان | ||
| S. Balamurugan؛ D.P. Samsoloman | ||
| Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore – 641 014, Tamilnadu, INDIA. | ||
| تاریخ دریافت: 14 اسفند 1392، تاریخ بازنگری: 24 فروردین 1393، تاریخ پذیرش: 19 خرداد 1393 | ||
| چکیده | ||
| Heat exchangers are one of the most important devices of mechanical systems in modern society. Most industrial processes involve the transfer of heat and more often they require the heat transfer process to be controlled. A heat exchanger is the heat exchanged between two media, one being cold and the other being hot. There are different types of heat exchanger, but the type which is widely used in industrial application is the shell and tube. In this study, experiments conducted based on fully replicable five-factor, five-level central composite design. Regression modelsare developed to analyse the effects of shell and tube heat exchange process parameter such as inlet temperature of hot fluid and flow rates of cold and hot fluid. The output parameters of a heat exchanger are used for analysing the direct and interactive effects of heat exchange process parameters. | ||
| کلیدواژه‌ها | ||
| Shell and Tube Heat؛ Exchanger؛ DOE؛ Experiment | ||
| مراجع | ||
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[1]. Y. Ozcelik, Exergetic optimization of shell and tube heat exchangers using genetic based algorithm, Appl. Therm. Eng., vol. 27, pp. 1849- 1856, (2007).
[2]. P. Vijaysai, M.D. Osborn, S.S. Au, K. Ravi Chandra Reddy, Prediction of performance assessment of heat exchangers for proactive remediation, IEEE trans, 3055-3060,(2006)
[3]. Q. Wang, G. Xie, M. Zeng and L. Luo, Prediction of heat transfer rates for shell and tube heat exchangers by artificial neural networks approach, J. Therm. Sci., vol.15, no.3, pp. 257-262,(2006).
[4]. X. Zhao, Performance of a single-row heat exchanger at low in-tube flow rates, Master Thesis, University of Notre Dame, (1995).
[5]. [5] C.Ahilan, S.Kumanan, N.Sivakumar, Prediction of Shell and Tube Heat Exchanger Performance using Artificial Neural Networks, Proc. of the International Conference on Advanced Computing and Communication Technologies (ACCT 2011), ISBN: 978-981-08-7932-7, pp 307 -312, (2011)
[6]. W.G.Cochran and G.M. Cox, ‘Experimental design’; India, Asia Publishing House, (1963).
[7]. O.L.Davis, The design and analysis of industrial experiments, New York, Long mount, reprint,(2010).
[8]. P. Harris , B.L Smith , Factorial technique for weld quality prediction”, Metal Construction, Vol.15, pp. 661 – 666, (1983).
[9]. D.C Montgomery, Design and analysis of experiments, 2nd Edition', John Wiley and Sons Inc., New York, pp.537, (2001) | ||
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