Nonlinear multi-objective optimization of machining processes parameters

Multi-objective optimization applications in manufacturing of structural components have been mostly in the area of scheduling and process planning. Until now most well developed multi-objective optimization codes are linear. Due to the high level of nonlinearity, few applications have been reported in the area of multi-objective optimization of manufacturing processes parameters. This paper presents a general nonlinear multi-objective optimization model for machining processes parameters. The developed nonlinear multi-objective optimization model allows different priority level for each manufacturing objective. The resulting nonlinear optimization problem is solved using unconstrained optimization techniques. This reduces the effort required to model the manufacturing process problem since linearization is not required. The optimum solution can also be achieved from any starting point, since no feasibility conditions are required. The application and efficiency of the developed model is studied using a machining process test case with different manufacturing priority.