Abstract
In this paper, the parameter optimization problem for face-milling operations is studied. A multi-objective mathematical model is developed with the purpose to minimize the unit production cost and total machining time while maximize the profit rate. The unwanted material is removed by one finishing pass and at least one roughing passes depending on the total depth of cut. Maximum and minimum allowable cutting speeds, feed rates and depths of cut, as well as tool life, surface roughness, cutting force and cutting power consumption are constraints of the model. Optimal values of objective function and corresponding machining parameters are found by Genetic Algorithms. An example is presented to illustrate the model and solution method.
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References
F. Cus and U. Zuperl, Approach to optimization of cutting conditions by using artificial neural networks, Journal of Materials Processing Technology 173 (2006) 281–290.
Y. C. Shin and Y. S. Joo, Optimization of Machining Conditions with Practical Constrains, International Journal of Production Research 30 (1992) 2907–2919.
B. Gopalakrishnan and A.K. Faiz, Machine parameter selection for turning with constrains: an analytical approach based on geometric programming, International Journal of Production Research 29 (1991) 1897–1908.
R. Gupta, J. L. Batra, and G. K. Lal, Determination of Optimal Subdivision of Depth of Cut in Multipass Turning with Constrains, International Journal of Production Research 33 (1995) 2555–2565.
R. V. Rao, P. J. Pawar, Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms, Applied Soft Computing 10 (2010) 445–456.
A. Jeang, H.-C. Li, Y.-C. Wang, A computational simulation approach for optimising process parameters in cutting operations, International Journal of Computer Integrated Manufacturing 23 (2010) 325–340.
R. Q. Sardinas, M. R. Santana, and E. A. Brindis, Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes, Engineering Application of Artificial Intelligence 19 (2006) 127–133.
T.-S. Lan, M.-Y. Wang, Competitive parameter optimization of multi-quality CNC turning, Int J Adv Manuf Technol 41 (2009) 820–826.
N. R. Abburi, U. S. Dixit, Multi-objective optimization of multipass turning processes, Int J Adv Manuf Technol 32 (2007) 902–910.
M. Solimanpur and F. Ranjdoostfard, Optimization of cutting parameters using a multi-objective genetic algorithm, International Journal of Production Research 47 (2009) 6019–6036.
W.A. Yang, Y. Guo, and W.H. Liao, Multi-objective optimization of multi-pass face milling using particle swarm intelligence, The International Journal of Advanced Manufacturing Technology 56 (2011) 429–443.
N. Nefedov and K. Osopov, Typical Examples and Problems in Metal Cutting and Tool Design (Mir publishers, Moscow, 1987).
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An, L., Yang, P., Zhang, H. et al. Multi-Objective Optimization for Milling Operations using Genetic Algorithms under Various Constraints. Int J Netw Distrib Comput 2, 108–114 (2014). https://doi.org/10.2991/ijndc.2014.2.2.5
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DOI: https://doi.org/10.2991/ijndc.2014.2.2.5