Work

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

Year: 2024

Type: article

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.

Source: Advances in Mechanical Engineering

DOI: 10.1177/16878132241308932

Authors: Xi Chen, Qi Wang, Wengang Chen, Jianzhe Sun, Yafeng He, Hun Guo

Institutions: Changzhou Institute of Technology, Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration

Language: English

Topic: Advanced machining processes and optimization

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,650

Funder: National Natural Science Foundation of China