abstract
The problem of face-milling optimisation is revisited in this work, and a numerical model to optimise machining parameters in multi-pass processes is presented. Considering the technological constraints of the machining process, the optimisation algorithm sought to minimise manufacturing costs. The design variables were the depth of cut, the cutting speed and the feed in each pass. Bounds on depth of cut, cutting speed, feed, surface finishing, cutting force, cutting power and tool life were considered as technological constraints. With the machining process operating in a multi-pass way, the depth of cut for each pass depends upon the total volume of material to be removed. In this paper, a new approach based on substituting the depth of cut with a sequence of depths of cut is presented. After generation of feasible values for sequences of depths of cut, the optimal solution was found by searching over the entire domain of design variables using a genetic algorithm based on an elitist strategy. The performance of the developed model is compared with other published models in the literature, and the multi-pass strategy is discussed.
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References
Armarego EJA, Smith AJR, Wang J (1993) Constrained optimization strategies and CAM software for single-pass peripheral milling. Int J Prod Res 31:2139–2160. doi:10.1080/00207549308956849
Tolouei-Rad M, Bidhendi IM (1997) On the optimization of machining parameters for milling operations. Int J Mach Tools Manuf 37(1):1–16. doi:10.1016/S0890-6955(96)00044-2
Sonmez AI, Baykasoglu A, Turkay D, Filiz IH (1999) Dynamic optimization of multi-pass milling operations via geometric programming. Int J Mach Tools Manuf 39(2):297–320. doi:10.1016/S0890-6955(98)00027-3
Shunmugam MS, Bhaskara Reddy SV, Narendran TT (2000) Selection of optimal conditions in multi-pass face-milling using a genetic algorithm. Int J Mach Tools Manuf 40:401–414. doi:10.1016/S0890-6955(99)00063-2
Tandon V, El-Mounayri H, Kishawy H (2002) NC end milling optimization using evolutionary computation. Int J Mach Tools Manuf 42:595–605. doi:10.1016/S0890-6955(01)00151-1
Wang ZG, Wong YS, Rahman M (2004) Optimisation of multi-pass milling using genetic algorithm and genetic simulated annealing. Int J Adv Manuf Technol 24:727–732. doi:10.1007/s00170-003-1789-5
Wang ZG, Wong YS, Rahman M, Sun J (2006) Multi-objective optimization of high-speed milling with parallel genetic simulated annealing. Int J Adv Manuf Technol 31:209–218. doi:10.1007/s00170-005-0191-x
Palanisamy P, Rajendran I, Shanmugasundaram S (2007) Optimization of machining parameters using genetic algorithm and experimental validation for end-milling operations. Int J Adv Manuf Technol 32:644–655. doi:10.1007/s00170-005-0384-3
Onwubolu GC (2006) Performance-based optimization of multi-pass face milling operations using Tribes. Int J Mach Tools Manuf 46:717–727. doi:10.1016/j.ijmachtools.2005.07.041
Childs THC, Maekawa K, Obikawa T, Yamane Y (2000) Metal Machining, Theory and Applications. Arnold, London
Nefedov N, Osipov K (1987) Typical examples and problems in metal cutting and tool design. MIR, Moscow
Boothroyd G (1985) Fundamentals of metal machining and machine tools. McGraw-Hill, New Delhi
Conceição António CA (2002) A multilevel genetic algorithm for optimization of geometrically non-linear stiffened composite structures. Struct Multidisciplinary Optim 24(5):372–386. doi:10.1007/s00158-002-0249-4
Spears WM, De Jong SK (1991) On the virtues of parametrized uniform vrossover. In: Belew RK, Booker LB (eds) Proceedings of fourth international conference on genetic algorithms. Morgan Kaufmann, San Francisco, pp 230–236
Castro CF, António CAC, Sousa LC (2004) Optimisation of shape and process parameters in metal forging using genetic algorithms. J Mater Process Technol 146:356–364. doi:10.1016/j.jmatprotec.2003.11.027
Paulo Davim J, Conceição António CA (2001) Optimisation of cutting conditions in machining of aluminium matrix composites using a numerical and experimental model. J Mater Process Technol 112(1):78–82. doi:10.1016/S0924-0136(01)00551-9
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António, C.C., Castro, C.F. & Davim, J.P. Optimisation of multi-pass cutting parameters in face-milling based on genetic search. Int J Adv Manuf Technol 44, 1106–1115 (2009). https://doi.org/10.1007/s00170-009-1933-y
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DOI: https://doi.org/10.1007/s00170-009-1933-y