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Optimization of Force and Power Imposed on Continuous Tandem Cold Rolling Rollers Using a Multiple-Function Genetic Algorithm

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DOI: 10.4236/oalib.1101401    766 Downloads   1,128 Views   Citations

ABSTRACT

The amount of energy consumed in the production lines such as cold rolled process is one of the fundamental problems in the energy infrastructure of manufacturing sectors. Accordingly, much attention should be directed towards optimizing the power consumption of production lines using reasonable methods. Furthermore, the powers exerted on such equipment must be modified to find an optimized energy consumption level. This study tries to examine the optimization of forces and powers imposed on the continuous tandem cold rolling rollers of metal sheets using MATLAB and genetic algorithm. Firstly, some relationships and calculations of rolled metal sheets are analyzed. Then parameters, such as percentage of thickness reduction, mean pressure, yield stress, power of rollers and exerted torque, are calculated. All the governing relationships are programmed using MATLAB software. Having compared the mentioned two methods, genetic algorithm is used to determine the optimal required power. The results show that the optimized powers generated by genetic algorithm method are in good agreement with experimental observations. Also, the powers of rolling rollers and standard deviations of powers are calculated and, then, the two functions are compared and the optimum point between them is optimized.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Safari, M. and Moghoomi, M. (2015) Optimization of Force and Power Imposed on Continuous Tandem Cold Rolling Rollers Using a Multiple-Function Genetic Algorithm. Open Access Library Journal, 2, 1-13. doi: 10.4236/oalib.1101401.

References

[1] Moshksar, M. (2013) Rolling Engineering Principles. 3rd Edition, Shiraz University Press, Shiraz, 20.
[2] Miyake, H., et al. (1985) Advanced Fully Continuos Tandem Cold Rolling Mill for Thin Gauge Steel Strip. Proceedings of the International Conference Organized by the Institute of Metal, Advances in Cold Rolling Technology, 38.
[3] Yuen, W.Y., et al. (1985) Thermal Effects in Cold Rolling. Proceedings of the International Conference Organized by the Institute of Metal, Advances in Cold Rolling Technology, 57.
[4] Venkata Reddya, N. and Suryanarayanaa, G. (2001) A Set-Up Model for Tandem Cold Rolling Mills. Journal of Materials Processing Technology, 116, 269-277.
http://dx.doi.org/10.1016/S0924-0136(01)01007-X
[5] Wanga, D.D. and Yuen, W.Y.D. (2000) Toward a Heuristic Optimum Design of Rolling Schedules for Tandem Cold Rolling Mills. Engineering Applications of Artificial Intelligence, 13, 397-406.
http://dx.doi.org/10.1016/S0952-1976(00)00016-6
[6] Yang, J. and Che, H. (2008) Algorithm-Based Optimization Used in Rolling Schedule. International Journal of Iron and Steel Research, 15, 18-22.
http://dx.doi.org/10.1016/S1006-706X(08)60024-2
[7] Winninga, M. and Brahmeb, A. (2009) Prediction of Cold Rolling Texture of Steels Using an Artificial Neural Network. Computational Materials Science, 46, 800-804.
http://dx.doi.org/10.1016/j.commatsci.2009.04.014
[8] Świątoniowskib, A. and Bara, A. (2004) Interdependence between the Rolling Speed and Non-Linear Vibrations of the Mill System. Journal of Materials Processing Technology, 155-156, 2116-2212.
[9] Wang, D.D. and Tieu, A.K. (2005) Computational Intelligence-Based Process Optimization for Tandem Cold Rollin. Materials and Manufacturing Processes, 3, 479-496.
http://dx.doi.org/10.1081/AMP-200053535
[10] Pittner, J. and Simaan, M.A. (2008) Control of a Continuous Tandem Cold Metal Rolling Process. Control Engineering Practice, 16, 1379-1390.
http://dx.doi.org/10.1016/j.conengprac.2008.03.009
[11] Pittner, J. and Simaan, M.A. (2008) Optimal Control of Tandem Cold Rolling Using a Pointwise Linear Quadratic Technique with Trims. Journal of Dynamic Systems, Measurement, and Control, 130, 11 p.
[12] Zandieh, M. (2013) Genetic Algorithm. Version PDF, 31.
[13] Safari, H. and Masuodi, A. (2012) Optimization of Plat-Fin Heat Exchanger with Genetic Algorithm. Journal of Aerospace Mechanics, 8, 55-68.
[14] Aghadavoodi, F., Golestanian, H. and Negahbani, N. (2011) Optimization of Reduction Setting and Inter-Stand Tensions for Tandem Cold Mills Using Genetic Algorithm. Journal of Solid Mechanics in Engineering, 3, 55-67.
[15] Moshksar, M. (2013) Rolling Engineering Principles. 3rd Edition, Shiraz University Press, Shiraz, 335.
[16] Moshksar, M. (2013) Rolling Engineering Principles. 3rd Edition, Shiraz University Press, Shiraz, 9.

  
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