Optimal Selection of Milling Parameters for Maximum Profit Rate by Genetic Algorithms

Fabricating machine parts and components with low cost, less time, and high quality is the major objective in the metal cutting industry. Machining parameter optimization plays an important role in achieving this goal. It is an essential part in digital manufacturing with little or no involvement from humans. In this paper, the parameter optimization problem for face-milling operations is studied with the purpose to maximize the product profit rate. Various practical conditions and restricts from the cutting operation are considered as constraints. The mathematical optimization model was solved using a traditional genetic algorithm for optimal machining parameter values. An example from the literature is presented to illustrate the model and solution method. Higher profit rate values were obtained by the proposed approach compared to the previous research.