single-au.php

IJAT Vol.13 No.6 pp. 825-833
doi: 10.20965/ijat.2019.p0825
(2019)

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

Received:
June 28, 2019
Accepted:
September 16, 2019
Published:
November 5, 2019
Keywords:
geometric dimensioning and tolerancing (GD&T), geometric tolerance, automation, process planning, NC program
Abstract

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.

Cite this article as:
I. Nishida, S. Adachi, and K. Shirase, “Automated Process Planning System for End Milling Operation Constrained by Geometric Dimensioning and Tolerancing (GD&T),” Int. J. Automation Technol., Vol.13, No.6, pp. 825-833, 2019.
Data files:
References
  1. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, IE9,10,11, Opera.

Last updated on Feb. 17, 2020