Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels

Elastic abrasive cutting is a new high-performance method to produce workpieces made of materials different hardness, which ensures lower wear cut-off wheels and higher quality machined surfaces. However, the literature referring elastic scarce; additional studies are thus needed. This paper proposes approach for modelling optimizing process, reflecting specifics its particular implementation. A generalized utility function has been chosen as an optimization parameter. It appears complex indicator characterizing response variables process. The proposed applied determine optimum conditions С45 42Cr4 steels. To solve problem, model influence developed. based on findings study process (cut-off wheel wear, time per cut, cut piece temperature, off temperature workpiece temperature) depending implementation (compression force F exerted by workpiece, rotational frequency nw, diameter ds). By applying genetic algorithm, optimal steels: ds = 120 mm; 1 daN; nw 63.7 min–1 49.9 min–1, respectively steels, have determined. They provide best match between