Research Paper:
Continuous Representation of Machining Processes Using 4-Dimensional Geometric Models –Cutter-Workpiece Engagement Analysis and Processing Surface Estimation in Spatio-Temporal Space—
Tong Zhang , Masahiko Onosato , and Fumiki Tanaka
Graduate School of Information Science and Technology, Hokkaido University
Kita 14, Nishi 9, Kita-ku, Sapporo, Hokkaido 060-0814, Japan
Corresponding author
The study proposes strategies for conducting cutter-workpiece engagement (CWE) analysis and representation based on 4-dimensional (4D) geometric models. To achieve the CWE condition, two 4D models representing the workpiece and the machinable volume of the tool are introduced for Boolean subtraction and CWE calculation. However, performing set operations and mesh transformations on high-accuracy 4D mesh models can be complex and time-consuming. Therefore, a simplified CWE analysis process between the time-invariant workpiece-occupied region (WOR) and the tool-occupied region (TOR) has been implemented to illustrate the validity of the set operation algorithm. The results demonstrate the effectiveness of the proposed 4D Set operation algorithm and its application in CWE analysis to a certain extent.
- [1] T. Moriwaki, N. Sugimura, and L. Wang, “Development of an Integrated CAD/CAE System for Machine Tool Design,” Integrated Manufacturing Systems of JSPE, Vol.59, Issue 2, pp. 233-238, 1993 (in Japanese). https://doi.org/10.2493/jjspe.59.233
- [2] H. Ma, W. Liu, X. Zhou, Q. Niu, and C. Kong, “High efficiency calculation of cutter-workpiece engagement in five-axis milling using distance fields and envelope theory,” J. of Manufacturing Processes, Vol.68, Part A, pp. 1430-1447, 2021. https://doi.org/10.1016/j.jmapro.2021.06.055
- [3] X. Gong and H.-Y. Feng, “Cutter-workpiece engagement determination for general milling using triangle mesh modeling,” J. of Computational Design and Engineering, Vol.3, Issue 2, pp. 151-160, 2016. https://doi.org/10.1016/j.jcde.2015.12.001
- [4] Z. Shao, R. Guo, J. Li, and J. Peng, “Accurate Modeling Method for Generalized Tool Swept Volume in 5-axis NC Machining Simulation,” J. of Software, Vol.6, No.10, pp. 2056-2063, 2011. https://api.semanticscholar.org/CorpusID:16786603
- [5] S. K. Gupta, S. K. Saini, B. W. Spranklin, and Z. Yao, “Geometric algorithms for computing cutter engagement functions in 2.5D milling operations,” Compute. Aided Des., Vol.37, Issue 14, pp. 1469-1480, 2005. https://doi.org/10.1016/j.cad.2005.03.001
- [6] E. Aras and D. Yip-Hoi, “Geometric Modeling of Cutter/Workpiece Engagements in Three-Axis Milling Using Polyhedral Representations,” J. of Computing and Information Science in Engineering, Vol.8, Issue 3, 2008. https://doi.org/10.1115/1.2960490
- [7] H. Kameyama et al., “Using a Four-Dimensional Mesh Model to Represent a Tool Motion Trajectory in Five-Axis Machining,” Int. J. Automation Technol., Vol.8, No.3, pp. 437-444, 2014. https://doi.org/10.20965/ijat.2014.p0437
- [8] I. Otomo, M. Onosato, and F. Tanaka, “Direct Construction of a Four-Dimensional Mesh Model from Three-Dimensional Object with Continuous Rigid Body Movement,” J. of Computational Design and Engineering, Vol.1, Issue 2, pp. 96-102, 2014. https://doi.org/10.7315/JCDE.2014.010
- [9] B. Schmitt, A. Pasko, and V. Savchenko, “Volume Sculpting with 4D Spline Volumes,” CISST’2000, Int. Conf. on Imaging, Science, Systems, and Technology, 2000.
- [10] K. Nakamoto et al., “Development of a Virtual Machining Simulator using Voxel Model,” J. of the Japan Society for Precision Engineering, Vol.74, Issue 12, pp. 1308-1312, 2008. https://doi.org/10.2493/jjspe.74.1308
- [11] J. Kaneko, “Industrial Applications of GPU/Parallel Processing Technology (Keynote Speech),” Proc. of the Japan Society for Precision Engineering Annual Conf., pp. 789-790, 2013.
- [12] M. Inui, Q. Chen, and N. Umezu, “Visualization of 3+2 Axis Machining Result by Combining Multiple Z-map Models,” Computer-Aided Design & Applications, Vol.19, No.4, pp. 825-837, 2022.
- [13] D. Matsunaga et al., “Boundary intersection determination and intersection shape derivation for 4-dimensional mesh models,” Proc. of the Japan Society for Precision Engineering Spring Conf. 2017, 2017. https://doi.org/10.20965/ijat.2014.p0437
- [14] S. Cameron, “Collision Detection by Four-Dimensional Intersection Testing,” IEEE Trans. on Robotics and Automation, Vol.6, Issue 3, pp. 291-302, 1990. https://doi.org/10.1109/70.56661
- [15] A. Bowyer, “Computing Dirichlet tessellations,” The Computer J., Vol.24, Issue 2, pp. 162-166, 1981. https://doi.org/10.1093/comjnl/24.2.162
- [16] P. Fleischmann and S. Selberherr, “Three-dimensional Delaunay mesh generation using a modified advancing front approach,” Proc. of IMR97, pp. 267-278, 1997.
- [17] V. Dambly, É. Rivière-Lorphèvre, and O. Verlinden, “Tri-dexel based cutter-workpiece engagement determination for robotic machining simulator,” Procedia CIRP, Vol.107, pp. 1059-1064, 2022. https://doi.org/10.1016/j.procir.2022.05.108
- [18] T. Zhang et al., “Using four-dimensional geometric models for representing dynamic machining process based on parallel processing by GPGPU,” Proc. of Int. Conf. on Leading Edge Manufacturing in 21st century, pp. 60-65, 2021. https://doi.org/10.1299/jsmelem.2021.10.058-053
- [19] M. Onosato et al., “Weaving a Four-dimensional Mesh Model from a Series of Three-dimensional Voxel Models,” Computer-Aided Design and Applications, Vol.11, Issue 6, pp. 649-658, 2014. https://doi.org/10.1080/16864360.2014.914383
- [20] P. Bhaniramka et al., “Isosurfacing in higher dimensions,” Proc. Visualization 2000 (VIS 2000), pp. 267-273, 2000. https://doi.org/10.1109/VISUAL.2000.885704
- [21] Y. Yabuki et al., “Neighboring tetrahedron search algorithm based on 4D geometry in 4D extended Ball-Pivoting Algorithm,” Proc. of JSPE Spring Conf., Vol.2021, pp. 9-10, 2021 (in Japanese). https://doi.org/10.11522/pscjspe.2021S.0_9
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.