Paper:
Automated Process Planning System for End Milling Operation Constrained by Geometric Dimensioning and Tolerancing (GD&T)
Isamu Nishida, Shogo Adachi, and Keiichi Shirase
Kobe University
1-1 Rokko-dai, Nada-ku, Kobe, Hyogo 657-8501, Japan
Corresponding author
To realize autonomous machining, it is necessary to focus on machining tools and also on the automation of process planning in the preparation stage. This study proposes a process planning system that automatically defines the machining region and determines the machining sequence. Although previous studies have explored computer-aided process planning, only a few have considered geometric tolerances. Geometric tolerances are indicated on product drawings to eliminate their ambiguity and manage machining quality. Geometric dimensioning and tolerancing (GD&T) is a geometric tolerance standard applied to a three-dimensional computer-aided design (3D CAD) model and are expected to be used for the digitization of manufacturing. Therefore, this study developed an automated process planning system by using GD&T as a sequencing constraint. In the proposed system, the machining sequence is automatically determined by the geometrical constraints, which indicate whether the tool can approach, and GD&T, which indicates the geometric tolerance and datum in a 3D CAD model. A case study validated the proposed method of automated process planning constrained by GD&T. The result shows that the proposed system can automatically determine the machining sequence according to the geometric tolerance in a 3D CAD model.
- [1] N. Sugimura, “Research trends in process planning,” J. of the Japan Society for Precision Engineering, Vol.72, No.2, pp. 165-170, 2006 (in Japanese).
- [2] D. Hamada, K. Nakamoto, T. Ishida, and Y. Takeuchi, “Development of CAPP system for multi-tasking machine tool,” Trans. of the Japan Society of Mechanical Engineers, Series C, Vol.78, No.791, pp. 2698-2709, 2012 (in Japanese).
- [3] L. Wang, M. Holm, and G. Adamson, “Embedding a process plan in function blocks for adaptive machining,” CIRP Annals – Manufacturing Technology, Vol.59, Issue 1, pp. 433-436, 2010.
- [4] Y. Woo, E. Wang, Y. S. Kim, and H. M. Rho, “A hybrid feature recognizer for machining process planning systems,” CIRP Annals – Manufacturing Technology, Vol.54, Issue 1, pp. 397-400, 2005.
- [5] M. El-Mehalawi and R. A. Miller, “A database system of mechanical components based on geometric and topological similarity. Part I: representation,” Computer-Aided Design, Vol.35, No.1, pp. 83-94, 2003.
- [6] M. El-Mehalawi and R. A. Miller, “A database system of mechanical components based on geometric and topological similarity. Part II: indexing, retrieval, matching and similarity assessment,” Computer-Aided Design, Vol.35, No.1, pp. 95-105, 2003.
- [7] K. Nakamoto, K. Shirase, H. Wakamatsu, A. Tsumaya, and E. Arai, “Automatic production planning system to achieve flexible direct machining,” JSME Int. J. Series C, Vol.47, No.1, pp. 136-143, 2004.
- [8] A. Ueno and K. Nakamoto, “Proposal of machining features for CAPP system for multi-tasking machine tools,” Trans. of the JSME, Vol.81, No.825, doi: 10.1299/transjsme.15-00108, 2015 (in Japanese).
- [9] E. Morinaga, M. Yamada, H. Wakamatsu, and E. Arai, “Flexible process planning method for milling,” Int. J. Automation Technol., Vol.5, No.5, pp. 700-707, 2011.
- [10] E. Morinaga, T. Hara, H. Joko, H. Wakamatsu, and E. Arai, “Improvement of computational efficiency in flexible computer-aided process planning,” Int. J. Automation Technol., Vol.8, No.3, pp. 396-405, 2014.
- [11] K. Dwijayanti and H. Aoyama, “Basic study on process planning for turning-milling center based on machining feature recognition,” J. of Advanced Mechanical Design, Systems and Manufacturing, Vol.8, No.4, JAMDSM0058, 2014.
- [12] H. Sakurai and P. Dave, “Volume decomposition and feature recognition, part 1 – polyhedral objects,” Computer-Aided Design, Vol.27, Issue 11, pp. 793-869, 1995.
- [13] H. Sakurai and P. Dave, “Volume decomposition and feature recognition, part II – curved objects,” Computer-Aided Design, Vol.28, Issues 6-7, pp. 519-537, 1996.
- [14] T. Inoue and K. Nakamoto, “Proposal of a recognition method of machining features in computer aided process planning system for complex parts machining,” Trans. of the JSME, Vol.83, No.850, 16-00574, doi: 10.1299/transjsme.16-00574, 2017 (in Japanese).
- [15] I. Nishida, R. Sato, and K. Shirase, “Proposal of process planning system for end-milling operation considering product design constraints,” The Institute of Systems, Control and Information Engineering, Vol.30, No.3, pp. 81-86, 2017 (in Japanese).
- [16] I. Nishida and K. Shirase, “Automated process planning system for end-milling operation considering constraints of operation (1st report Process planning to minimize the number of times of tool change),” Trans. of the JSME, Vol.84, No.866, 18-00242, doi: 10.1299/transjsme.18-00242, 2018 (in Japanese).
- [17] J. Loose, Q. Zhou, and S. Zhou, “Integrating GD&T into dimensional variation models for multistage machining processes,” Int. J. of Production Research, Vol.48, No.11, pp. 3129-3149, 2010.
- [18] Y. Y. Wu, J. Shah, and J. K. Davidson, “Computer modeling of geometric variations in mechanical parts and assemblies,” ASME Trans. J. of Computing & Information Science in Engineering, Vol.3, No.1, pp. 54-63, 2003.
- [19] R. Hunter, M. Guzman, J. Möller, and J. Perez, “Implementation of a tolerance model in a computer aided design and inspection system,” J. of Achievements in Materials and Manufacturing Engineering, Vol.17, No.1, pp. 345-348, 2006.
- [20] F. Tanaka, H. Abe, S. Igari, and M. Onosato, “Integrated Information Model for Design, Machining, and Measuring Using Annotated Features,” Int. J. Automation Technol., Vol.8, No.3, pp. 388-395, 2014.
- [21] I. Nishida, M. Murase, and K. Shirase, “Sequence planning of on-machine measurement and re-machining,” J. of Advanced Mechanical Design, Systems, and Manufacturing, Vol.13, No.1, JAMDSM0014, 10.1299/jamdsm.2019jamdsm0014, 2019.
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