single-au.php

IJAT Vol.14 No.6 pp. 1036-1044
doi: 10.20965/ijat.2020.p1036
(2020)

Paper:

Automated Tool Path Generation for Roughing Using Flat Drill

Isamu Nishida, Hidenori Nakatsuji, and Keiichi Shirase

Kobe University
1-1 Rokko-dai, Nada-ku, Kobe, Hyogo 657-8501, Japan

Corresponding author

Received:
April 22, 2020
Accepted:
September 4, 2020
Published:
November 5, 2020
Keywords:
CAM, flat drill, roughing, end milling
Abstract

A method to calculate tool path uniquely for roughing using a flat drill is proposed. A flat drill is a drill with a flat tip. Unlike a square end mill, it cannot feed a tool laterally, but it is suitable for machining to feed a tool longitudinally. The advantage offered by the flat drill is expected to reduce machining troubles, such as tool breakages and chatter vibration, owing to the axial sturdiness of the tool. Furthermore, it can be used to machine lapped holes that cannot be machined with a normal drill owing to its flat tip. Hence, roughing using a flat drill by drilling multiple holes at constant intervals is proposed herein. Furthermore, in this method, a tool path for semi-finishing is generated only on the remaining region. A cutting experiment is conducted to validate the effectiveness of the proposed method. The result of the cutting experiment confirmed the effectiveness of the proposed method based on the machining time and the productivity of machining multiple products simultaneously.

Cite this article as:
Isamu Nishida, Hidenori Nakatsuji, and Keiichi Shirase, “Automated Tool Path Generation for Roughing Using Flat Drill,” Int. J. Automation Technol., Vol.14, No.6, pp. 1036-1044, 2020.
Data files:
References
  1. [1] K. Nakamoto, K. Shirase, H. Wakamatsu, A. Tsumaya, and E. Arai, “Development of Digital Copy Milling System to Realize NC Programless Machining: 3rd Report, Machining Strategy for In-Process Adaptation of Cutting Conditions,” Trans. of the Japan Society of Mechanical Engineers Series C, Vol.69, No.677, pp. 270-277, 2003.
  2. [2] K. Shirase and K. Nakamoto, “Direct Machining Operation Performed by Autonomous NC Machine Tool Controlled by Digital Copy Milling Concept,” Trans. of the Japan Society of Mechanical Engineers Series C, Vol.74, No.743, pp. 1901-1906, 2008.
  3. [3] K. Shirase and K. Nakamoto, “Simulation Technologies for the Development of an Autonomous and Intelligent machine Tool,” Int. J. Automation Technol., Vol.7, No.1, pp. 6-15, 2013.
  4. [4] K. Shirase, T. Kondo, M. Okamoto, H. Wakamatsu, and E. Arai, “Development of Virtual Copy Milling System to Realize NC Programless Machining: Real Time Tool Path Generation for Autonomous NC Machine Tool,” Trans. of the Japan Society of Mechanical Engineers Series C, Vol.66, No.644, pp. 298-303, 1999.
  5. [5] 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).
  6. [6] 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.
  7. [7] 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.
  8. [8] 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.
  9. [9] A. Ueno and K. Nakamoto, “Proposal of machining features for CAPP system for multi-tasking machine tools,” Trans. of the Japan Society of Mechanical Engineers Series C, Vol.81, No.825, doi: 10.1299/transjsme.15-00108, 2015 (in Japanese).
  10. [10] 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.
  11. [11] 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.
  12. [12] 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.
  13. [13] 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.
  14. [14] 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.
  15. [15] 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 Japan Society of Mechanical Engineers Series C, Vol.83, No.850, doi: 10.1299/transjsme.16-00574, 2017 (in Japanese).
  16. [16] M. M. Isnaini, Y. Shinoki, R. Sato, and K. Shirase, “Development of a CAD-CAM interaction system to generate a flexible machining process plan,” Int. J. Automation Technol., Vol.9, No.2, pp. 104-114, 2015.
  17. [17] 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).
  18. [18] I. Nishida, T. Hirai, R. Sato, and K. Shirase, “Automatic process planning system for end-milling operation considering CAM operator’s intention,” Trans. of the Japan Society of Mechanical Engineers Series C, Vol.84, No.860, doi: 10.1299/transjsme.17-00563, 2018 (in Japanese).
  19. [19] 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 Japan Society of Mechanical Engineers Series C, Vol.84, No.866, doi: 10.1299/transjsme.18-00242, 2018 (in Japanese).
  20. [20] Y. Shinoki, M. M. Isnaini, R. Sato, and K. Shirase, “Machining operation planning system which utilize past machining operation data to generate new NC program,” Trans. of the Japan Society of Mechanical Engineers Series C, Vol.81, No.832, 15-00280, 2015 (in Japanese).
  21. [21] 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.
  22. [22] 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.
  23. [23] S. Kobayashi, “Present and future of case-based reasoning,” J. of Japanese Society for Artificial Intelligence, Vol.7, No.4, pp. 559-566, 1992 (in Japanese).
  24. [24] I. Nishida and K. Shirase, “Automatic Determination of Cutting Conditions for NC Program Generation by Reusing Machining Case Data based on Geometric Properties of Removal Volume,” J. of Advanced Mechanical Design, Systems, and Manufacturing, Vol.12, No.4, doi: 10.1299/jamdsm.2018jamdsm0093, 2018.
  25. [25] I. Nishida and K. Shirase, “Proposal of contour line model for high-speed end milling simulation,” Int. J. Automation Technol., Vol.14, No.1, pp. 38-45, 2020.
  26. [26] I. Nishida and K. Shirase, “Machining time reduction by tool path modification to eliminate air cutting motion for end milling operation,” Int. J. Automation Technol., Vol.14, No.3, pp. 459-466, 2020.

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

Last updated on Aug. 02, 2021