A systematic method of optimization of machining parameters considering energy consumption, machining time, and surface roughness with experimental analysis

For improving energy efficiency of machining process, extensive studies focused on how to establish consumption model and optimize cutting parameters. However, the existing methods lack a systematic method promote widespread use in industry. This paper proposes integrating model, experiment design, multi-objective optimization model. Firstly, is established considering non-cutting energy. Then, orthogonal designed with three levels four factors spindle speed, feed depth, width X Y directions. The data consumption, surface quality, time are obtained study effects different elements Meanwhile, standby, idling, feed, SEC (specific consumption), material cutting, idling models CNC machine tools based experimental data. Additionally, five sets tested for verifying accuracy which can reach 99.4%. Finally, high saving processing process parameters time, quality simultaneously. Combining case milling constraints including tool performance, life, procedures, requirements, Pareto solution set used solve target Through drawing three-dimensional needle graph two-dimensional histogram, optimal parameter combination rough semi-finish provided assisting promoting application sustainable techniques