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.
Highlights
In today’s manufacturing environment, many large companies in metal-cutting industries are making use of advanced manufacturing and management technologies to reduce production cost and increase profit
Machining parameter optimization plays an important role in meeting these requirements and it is an essential part of a Computer Aided Design/Computer Aided Process
The values of optimal unit production cost, optimal unit machining time, optimal profit rate and corresponding machining parameters are found by Genetic Algorithms (GAs) as evolutionary algorithms are becoming more popular in engineering design due to their effectiveness, in obtaining global optimal solutions
Summary
In today’s manufacturing environment, many large companies in metal-cutting industries are making use of advanced manufacturing and management technologies to reduce production cost and increase profit. The solutions for a multiobjective optimization problem may not meet all single objective functions and the obtained parameters cannot be compared with each other, and the solutions are called non-dominated [10]. The existing models and processes for multi-objective optimization problems are usually complex and do not consider all practical constraints. Milling is a machining process of cutting material away by feeding a workpiece against a rotating cutter with multiple teeth. The cutter is mounted on a spindle rotating perpendicular to the machining surface. The cutting action of the many teeth on the periphery and face of the cutter forms the milled surface, providing a fast method of material removal. The unit production cost, unit machining time and profit rate are optimized simultaneously for face-milling operations. An example is given to illustrate the model and solution procedure
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