Paper
27 January 2023 Study on process optimization of precision boring plunger hole
Zhikai Mi, Fengming Nie, Xu Zhang, Qingtang Wu, Huan Wu, Shan Li
Author Affiliations +
Proceedings Volume 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022); 125501W (2023) https://doi.org/10.1117/12.2666695
Event: International Conference on Optical and Photonic Engineering (icOPEN 2022), 2022, ONLINE, China
Abstract
The plunger hole machining using precision boring technology has the advantages of reducing cutting force, suppressing chatter and improving the surface quality of the workpiece. In this paper, a high-precision extended boring tool and indexing turntable device are designed, and the precision boring plunger hole process experiment is carried out. The influence of different process parameters on surface roughness was studied. Roughness prediction model is established by experimental data, and the accuracy of the prediction model is verified. Adopt particle swarm optimization, constraint conditions are established. The optimization model is obtained by substituting the constraint condition into the penalty function, and the optimization results of the machining parameters meet the design requirements of the surface roughness of the plunger hole.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhikai Mi, Fengming Nie, Xu Zhang, Qingtang Wu, Huan Wu, and Shan Li "Study on process optimization of precision boring plunger hole", Proc. SPIE 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022), 125501W (27 January 2023); https://doi.org/10.1117/12.2666695
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KEYWORDS
Data modeling

Surface roughness

Mathematical optimization

Particle swarm optimization

Technology

Process modeling

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