Integrated multi-objective optimization on the geometrical design of a disk-type milling cutter with multiple inserts applying uniform design, RBF neural network, and PSO algorithm

Achmad Arifin, Yu Ren Wu

研究成果: 雜誌貢獻期刊論文同行評審

摘要

A cutter with inserts is suitably applied in screw rotor milling. However, the cutter design process, including arranging the inserts onto the cutter body accurately, involves numerous factors, so it is costly and lengthy to achieve a precise cutter design if performed by trial error. This study introduces an integrated optimization to simplify the cutter designing process by minimizing multi-objective factors (number of inserts, grinding stock amount, and rotor profile deviation), respecting four critical design factors (grinding allowance, insert arrangement area, insert inclination angle, and correctional offset). The uniform design was applied to obtain uniformity and representativeness in the experiment sample size, whereas radial basis function (RBF) approximated the design factors, and particle swarm optimization (PSO) predicted the optimum results. The result confirms that all objective factors were diminished significantly where the grinding allowance is the most influential factor. In addition, the rotor surface topography indicated a consistent deviation. Finally, the optimized cutter is reliable, and the integrated optimization model is effective and entirely practicable.

原文???core.languages.en_GB???
頁(從 - 到)4829-4846
頁數18
期刊International Journal of Advanced Manufacturing Technology
121
發行號7-8
DOIs
出版狀態已出版 - 8月 2022

指紋

深入研究「Integrated multi-objective optimization on the geometrical design of a disk-type milling cutter with multiple inserts applying uniform design, RBF neural network, and PSO algorithm」主題。共同形成了獨特的指紋。

引用此