CWE identification and cutting forces prediction in ball-end milling process

Shaoqing Qin, Yanpeng Hao, Lida Zhu* (Corresponding Author), Marian Wiercigroch* (Corresponding Author), Zonghui Yuan, Chuanliang Shi, Dayu Cui

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Ball-end milling of sculptured surfaces is an efficient and cost effective manufacturing technique when compared with other methods. However, an accurate cutting force prediction is still challenging when the Cutter Workpiece Engagement (CWE) and Instantaneous Undeformed Chip Thickness (IUCT) vary simultaneously. In order to predict the milling force accurately, an algorithm is designed to obtain the CWE boundaries with the variable tool orientations. Inspired by the main idea of analytical CWE model, an improved Zmap method is developed, which is based on the classic Z-map method. The point cloud of tool envelope surface method is generated based on the classic Z-map and the points of the CWE are screened according to the chosen criteria. Afterwards, the IUCT is calculated numerically by the accurate cutting thickness model. In order to overcome the drawbacks of the accurate IUCT method, a simplified IUCT model is proposed to eliminate the iterative calculation. Related milling experiments were carried out on Al7075 workpiece to validate the proposed models showing a good agreement with errors smaller than 12.5%. It can be concluded from simulation results that tool postures have a significant effect on the machining process. This contributes to in-depth understanding the material removal process and optimizing the process parameters of multi-axis machining processes.
Original languageEnglish
Article number107863
Number of pages22
JournalInternational Journal of Mechanical Sciences
Volume239
Early online date23 Nov 2022
DOIs
Publication statusE-pub ahead of print - 23 Nov 2022

Keywords

  • cutting force
  • instantanous undeformed chip thickness
  • ball-end milling
  • sculptured surfaces
  • cutter workpiece engagement

Fingerprint

Dive into the research topics of 'CWE identification and cutting forces prediction in ball-end milling process'. Together they form a unique fingerprint.

Cite this