Multi objective optimization of rough pocket milling strategies during machining of lead-free brass alloys using Desirability function and Genetic algorithms-based analysis

Abstract The performance of a machining process is determined by various parameters specially the direction of tool movements during cutting. In this paper, various cutting responses such as machining time (tm), cutting forces (Fr), metal removal rate (MRR), and dimensional accuracy (DA) during the rough pocket milling of the lead-free brass alloys with various toolpath strategies has been studied. The optimization is performed by using the desirability function (DF) and Genetic algorithms-based analysis (GA). The optimization has yielded to minimum production time, cutting forces, dimensional accuracy error and maximum material removal rate considering technological and industrial constrains.