Mining method for cutting force coefficient with the impact of tool vibration and machine tool system

The cutting characteristics observed in machining processes are significantly influenced by a combination of various dynamic parameters as well as the overall machine tool system in use. This paper introduces a cutting force coefficient mining method that considers the impact of tool vibration and machine tool system. Firstly, a basic cutting model was established based on orthogonal cutting. Obtained the cutting force coefficient for orthogonal cutting. Subsequently, the dynamic undeformed chip thickness data was integrated to reflect the influence of tool vibration during the machining process. Additionally, due to the replacement of the machine tool, correction factors have been introduced to consider the impact of the machine tool system. Finally, a comparative analysis was conducted with other methods for calibrating cutting force coefficients. The prediction accuracy of the proposed model has been validated, demonstrating its effectiveness in accurately predicting dynamic cutting forces.

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Publication Details

Journal
Advances in Mechanical Engineering
Published
2024-12-01
DOI
https://doi.org/10.1177/16878132241308932
Citations
3
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.64

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article

Mining method for cutting force coefficient with the impact of tool vibration and machine tool system

Wengang Chen, Xi Chen, Qi Wang, Hun Guo et al.
3 citations
Advances in Mechanical Engineering
Advanced machining processes and optimization
0.64
article

Mining method for cutting force coefficient with the impact of tool vibration and machine tool system

Wengang Chen, Xi Chen, Qi Wang, Hun Guo, Jie Sun, He Ya-Feng
article en
3 citations

Abstract

The cutting characteristics observed in machining processes are significantly influenced by a combination of various dynamic parameters as well as the overall machine tool system in use. This paper introduces a cutting force coefficient mining method that considers the impact of tool vibration and machine tool system. Firstly, a basic cutting model was established based on orthogonal cutting. Obtained the cutting force coefficient for orthogonal cutting. Subsequently, the dynamic undeformed chip thickness data was integrated to reflect the influence of tool vibration during the machining process. Additionally, due to the replacement of the machine tool, correction factors have been introduced to consider the impact of the machine tool system. Finally, a comparative analysis was conducted with other methods for calibrating cutting force coefficients. The prediction accuracy of the proposed model has been validated, demonstrating its effectiveness in accurately predicting dynamic cutting forces.

Advances in Mechanical EngineeringVol. 16(12)
Shanghai Jiao Tong University (CN), Changzhou Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 34%
Advanced machining processes and optimization
0.64
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Mining method for cutting force coefficient with the impact of tool vibration and machine tool system — Wengang Chen, Xi Chen, et al. · Advances in Mechanical Engineering (2024) | TGRS Research Map | TGRS