Simulation Prediction and Experimental Research on Surface Morphology of Ball Head Milling Processing
Youzheng Cui, Xinmiao Li, Minli Zheng, Haijing Mu, Chengxin Liu, Dongyang Wang, Bingyang Yan, Qingwei Li, Hui Jiang, Fengjuan Wang, Qingming Hu
TL;DR
This paper improves surface quality in die steel machining by developing a model that predicts surface morphology during ball head milling.
Contribution
A new prediction model for ball head milling surface morphology that integrates tool vibration, eccentricity, and deformation.
Findings
The model accurately predicts residual height and surface roughness with 7%–15% error compared to experiments.
Key parameters like feed per tooth and cutting depth significantly affect surface quality.
Simulation results align well with high-speed milling experiments, validating the model's accuracy.
Abstract
With the aim of improving the machined surface quality of die steel, this paper takes Cr12MoV quenched die steel as the research object and proposes a ball head milling surface morphology prediction model that comprehensively considers influencing factors, including tool vibration, eccentricity, as well as deformation. By setting key parameters, such as line spacing, feed per tooth, cutting depth, and phase difference, the system analyzed the influence of each parameter on the residual height and surface roughness of the machined surface. High-speed milling experiments were conducted, and the surface morphology of the samples was observed and measured under a microscope. The simulation results show good agreement with the experimental data, with errors within 7%~15%, proving the accuracy of the model. This study can provide theoretical support and methodological guidance for surface…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Figure 20
Figure 21
Figure 22
Figure 23
Figure 24Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced machining processes and optimization · Advanced Surface Polishing Techniques · Advanced Measurement and Metrology Techniques