Construction and Analysis of Cutting Force and Stability Prediction Model in CNC Milling Thin-Walled Parts Machining

Bo Li; Chengcao Guo

doi:10.62051/48zgrf09

Authors

Bo Li
Chengcao Guo

DOI:

https://doi.org/10.62051/48zgrf09

Keywords:

thin-walled parts; CNC milling; cutting force prediction; machining stability.

Abstract

Thin-walled parts are widely used in precision instruments, automobiles and other fields for their high strength, light weight and other characteristics. However, in the process of CNC milling, as the thickness of the parts decreases, their rigidity gradually decreases, resulting in the machining process is very easy to produce vibration, and even chatter, which seriously affects the accuracy and surface quality of the parts. Traditional manufacturing methods usually use conservative cutting dosage to reduce vibration, but this greatly limits the performance of CNC machine tools and cutting tools. In order to solve this problem, this paper thoroughly investigates the dynamic characteristics of the cutting process of thin-walled parts, and constructs a cutting force and stability prediction model. Through a combination of theoretical analysis, experimental verification and numerical simulation, this paper comprehensively analyses the impact of cutting parameters, tool geometry, workpiece material properties and other factors on cutting force and machining stability. The research results not only help to improve the cutting theory of thin-walled parts, but also provide an important technical support for the realisation of high-efficiency and high-precision machining. The results of this paper show that by optimising the cutting parameters and tool geometry, the cutting force can be effectively reduced and the machining stability can be improved, so as to achieve efficient and high-precision machining of thin-walled parts. In addition, this paper also explores the causes and mechanisms of vibration in the machining process, providing a theoretical basis for the development of targeted vibration control measures. The research in this paper is important for promoting the development of thin-walled parts machining technology, not only helps to improve the processing efficiency and quality of parts, but also helps to promote the manufacturing industry to a more efficient, more precise direction.

Downloads

Download data is not yet available.

References

Zhao Zhang, M. Luo et al. “Dynamic modeling and stability prediction in milling process of thin-walled workpiece with multiple structural modes.” Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture (2020). 2205 - 2218.

Xuewei Zhang, Tianbiao Yu et al. “Three-dimensional process stability prediction of thin-walled workpiece in milling operation.” (2016). 406 - 424.

Xiaojuan Wang, Q. Song et al. “Position-Dependent Stability Prediction for Multi-Axis Milling of the Thin-Walled Component with a Curved Surface.” (2020). 8779.

Zebin Zhou, Jian-guo Yang et al. “Machining simulation and deformation prediction in the processing for thin-walled parts.” International Symposium on Systems and Control in Aerospace and Astronautics (2010). 256-261.

Zhitao Chen, C. Yue et al. “Surface Topography Prediction Model in Milling of Thin-Walled Parts Considering Machining Deformation.” Materials (2021).

Gongyu Liu, Jiaqiang Dang et al. “High-Quality Machining of Edges of Thin-Walled Plates by Tilt Side Milling Based on an Analytical Force-Based Model.” Journal of manufacturing science and engineering (2019).

11. Huijuan Sun, Huiling Ding et al. “Efficient Prediction of Stability Boundaries in Milling Considering the Variation of Tool Features and Workpiece Materials.” Italian National Conference on Sensors (2023).

Yang Liu, Z. Xiong et al. “Stochastic Cutting Force Modeling and Prediction in Machining.” (2020).