Cryogenic Freezing Process Optimization Based On Desirability Function on the Path of Steepest Ascent
Authors: R. Uporn, P. Luangpaiboon
Abstract:
This paper presents a comparative study of statistical methods for the multi-response surface optimization of a cryogenic freezing process. Taguchi design and analysis and steepest ascent methods based on the desirability function were conducted to ascertain the influential factors of a cryogenic freezing process and their optimal levels. The more preferable levels of the set point, exhaust fan speed, retention time and flow direction are set at -90oC, 20 Hz, 18 minutes and Counter Current, respectively. The overall desirability level is 0.7044.
Keywords: Cryogenic Freezing Process, Taguchi Design and Analysis, Response Surface Method, Steepest Ascent Method and Desirability Function Approach.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329763
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[1] Guillermo Garcia-Guerata, Cryogenic Manual, Air Products and Chemical Inc., Rev.0, 2000
[2] I.J. Jeong and K.J. Kim, "Stochastics and Statistics: An interactive desirability function method to multi response optimization," European Journal of operation Research, Vol. 195, 2009, pp. 412-426.
[3] P.B.S. Reddy, K. Nishina and A.S. Babu (1998) Taguchi's methodology for multi-response optimisation-a case study in the Indian plastics industry. International Journal of Quality & Reliability Management, Vol. 15(6), pp. 646-668. doi:10.1108/02656719810218194
[4] H.C. Lin, C.T. Su, C.C. Wanga, B.H. Chang and R.C. Juang, "Parameter optimisation of continuous sputtering process based on Taguchi methods, neural networks, desirability function, and genetic algorithms," Expert Systems with Applications, Vol. 39, 2012, pp. 12918-12925. http://dx.doi.org/10.1016/j.eswa.2012.05.032
[5] P. Luangpaiboon, "Process Optimisation via Conventional Factorial Designs and Simulated Annealing on the Path of Steepest Ascent for a CSTR", Proceedings of International Conference in Operations Research 2002, Klagenfurt University, AUSTRIA, pp. 329-334.
[6] P. Luangpaiboon, Y. Suwanknam and S. Homrossukon, "Constrained Response Surface Optimisation for Precisely Atomising Spraying Process", IAENG Transactions on Engineering Technologies, Vol. 5, 2010, pp. 286-300. DOI: 10.1063/1.3510555