Minimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin-Walled Parts

Autor: Su-Jin Kim, Xu Feng, Sheng-Hao Xu, Cheng Dejun, Zhang Shengwen, Chun-Yan Zhang
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Precision Engineering and Manufacturing. 21:1597-1613
ISSN: 2005-4602
2234-7593
DOI: 10.1007/s12541-020-00366-0
Popis: This study focused on investigating the surface roughness in the feed direction (Ra-Fd), surface roughness in the transverse direction (Ra-Td), and thin-walled parts deformation (TWD) during milling of Al alloy 5083. The response surface method (RSM) was used to conduct experiments and establish the models of Ra-Fd, Ra-Td, and TWD under various cutting parameters. The significance of cutting parameters on Ra-Fd, Ra-Td, and TWD was analyzed by analysis of variance. It was observed that the Ra-Fd and Ra-Td are mainly influenced by the spindle speed, depth of cut, transverse size and feed rate, while the TWD is mainly influenced by the depth of cut. A comparison of RSM-optimum function and artificial bee colony (ABC) algorithm optimum programming was conducted to obtain the best cutting conditions leading to minimum Ra-Fd, Ra-Td and TWD simultaneously. From the presented results, ABC algorithm was able to obtain the better cutting strategy. Finally, the performance of the proposed cutting strategy was verified by confirmation experiments.
Databáze: OpenAIRE