Parameters optimization for 2.5D needled Cf/SiC in longitudinal torsional ultrasonic-assisted laser milling on PSO-BP-PSO

IF 4.6 2区工程技术 Q2 ENGINEERING, MANUFACTURING

CIRP Journal of Manufacturing Science and Technology Pub Date : 2025-02-19 DOI:10.1016/j.cirpj.2025.02.002

Junhao Wang, Changjuan Zhang, Feng Jiao, Yongjing Cao

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引用次数: 0

Abstract

The 2.5D needle-punched C_f/SiC was processed by longitudinal torsional ultrasound-assisted laser milling (LTUALM), and the removal form was found to be closely related to the fiber cutting angle in this paper. Compared to conventional machining (CM), laser-assisted machining (LAM), and ultrasonic-assisted machining (UAM), the main cutting force (Fx), radial cutting force (Fy) and axial cutting force (Fz) of LTUALM were reduced by 37.79 %, 22.79 %, 10.32 %; by 68.94 %, 65.89 %, 16.22 %; and by 48.12 %, 37.96 %, 16.96 %, respectively. The reductions in surface roughness were 60.78 %, 32.28 %, and 46.16 %, respectively. The response surface method (RSM) analysis indicated that with a laser power of 349.932 W, an ultrasonic amplitude of 2.849 µm, a cutting speed of 41.699 m/rev, and a cutting depth of 0.040 mm, the surface roughness was minimized to 1.137 µm. Moreover, the surface roughness was optimized by machine learning, and the results showed that the two-time particle swarm optimization for back propagation neural network (PSO-BP-PSO) has significant effectiveness, with the model predicting a minimum surface roughness of 1.119 µm.

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来源期刊

CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering

CiteScore

9.10

自引率

6.20%

发文量

166

审稿时长

63 days

期刊介绍： The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.