Paper
22 May 2024 Study on experimentation and simulation of axial force of PCD tool drilling CFRP
Author Affiliations +
Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 1317636 (2024) https://doi.org/10.1117/12.3029252
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China
Abstract
Carbon fiber composite materials (CFRP) are difficult to machine due to their anisotropy. PCD tools are widely used in CFRP drilling, and changes in axial force affect the quality of drilling. This article uses a combination of experimental and finite element techniques to study the axial force of PCD tool drilling CFRP. Through experiments, the minimum value of axial force under cutting parameters of 6500rpm spindle speed and 120mm/min feed rate is 124.1N; Based on Deform-3D, a constitutive model of the material was established, and the maximum axial force and torque values were obtained when the PCD tool was about to drill out the CFRP plate. The correctness of the finite element model was verified through experimental data.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
MuLin Tong, Xiaokai Wang, Leisi Wang, Ming Liu, and Ying Chang "Study on experimentation and simulation of axial force of PCD tool drilling CFRP", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 1317636 (22 May 2024); https://doi.org/10.1117/12.3029252
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KEYWORDS
Carbon fibers

Composites

Spindles

Finite element methods

Deformation

Matrices

3D modeling

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