Development of a CAD-CAM Interaction System to Generate a Flexible Machining Process Plan

Mohammad Mi’radj Isnaini; Yusaku Shinoki; Ryuta Sato; Keiichi Shirase

doi:10.20965/ijat.2015.p0104

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IJAT Vol.9 No.2 pp. 104-114

doi: 10.20965/ijat.2015.p0104

(2015)

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Development of a CAD-CAM Interaction System to Generate a Flexible Machining Process Plan

Mohammad Mi’radj Isnaini, Yusaku Shinoki, Ryuta Sato, and Keiichi Shirase

Kobe University
1-1 Rokko-dai, Nada, Kobe, Japan

Received:

October 20, 2014

Accepted:

February 17, 2015

Published:

March 5, 2015

Keywords:

total removal volume, process planning, CAD/CAM, CAPP

Abstract

A unique machining knowledge has led to several different perspectives between planners and operators as regards in designing a machining process plan. All precedents have shown the need to maintain a suitable machining process plan. Commercial Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems have facilitated the manipulation of 3D models to generate a machining process plan. The open Advanced Programming Interfaces (APIs) are also helpful in tailoring decision support systems to determine process plans. This study proposes an emergent system to generate flexible machining process plans. The proposed system considers the integration between design and manufacturing perspective to produce relevant machining process plan. The generation of process plans begins by considering the total removal volume of the raw material, estimating the removal features, thus analyzing and ordering several candidates of machining process plans. The total machining time and number of setups from each machining process plan candidate is analyzed and evaluated. Eventually, the proposed system is tested using several prismatic 3D models of a workpiece to show the outcomes.

Cite this article as:

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.

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References

[1] E. A. Nasr and A. K. Kamrani, “Computer-Based Design and Manufacturing: an Information Based Approach,” Springer Science, 2007.
[2] M. P. Groover, “Principle of Modern Manufacturing,” 4^th Ed., John Wiley & Sons, 2011.
[3] G. Boothroyd and W. A. Knight, “Fundamentals of Machining and Machine Tools,” 2^nd Ed., Marcel Dekker, 1989.
[4] M. M. Isnaini and K. Shirase, “Review of Computer-Aided Process Planning systems for machining operation -- Future development of a Computer-Aided Process Planning system,” Int. J. of Automation Technology, Vol.8, No.3, pp. 317-332, 2014.
[5] W. Huang, Y. Hu, and L. Cai, “An effective hybrid graph and genetic algorithm approach to process planning optimization for prismatic parts,” Int. J. of Advanced Manufacturing Technology, Vol.62, No.9-12, pp. 1219-1232, 2012.
[6] D. P. Gupta, B. Gopalakrishnan, S. A. Chaudari, and S. Jalali, “Development of an integrated model for process planning and parameter selection for machining processes,” Int. J. of Production Research, Vol.49, No.21, pp. 6301-6319, 2011.
[7] M. Safaieh, A. Nassehi, and S. T. Newman, “A novel methodology for cross-technology interoperability in CNC machining,” Robotics and Computer-Integrated Manufacturing, Vol.29, No.3, pp. 79-87, 2012.
[8] F. Musharavati and A. M. S. Hamouda, “Simulated annealing with auxiliary knowledge for process planning optimization in reconfigurable manufacturing,” Robotics and Computer-Integrated Manufacturing, Vol.28, No.2, pp. 113-131, 2012.
[9] K. Lian, C. Zhang, X. Shao, and L. Gao, “Optimization of process planning with various flexibilities using an imperialist competitive algorithm,” Int. J. of Advanced Manufacturing Technology, Vol.59, No.5-8, pp. 815-828, 2012.
[10] A. Prakash, F. T. S. Chan, and S. G. Deshmukh, “Application of knowledge-based artificial immune system (KBAIS) for computer aided process planning in CIM context,” Int. J. of Production Research, Vol.50, No.18, pp. 4937-4354, 2011.
[11] K. Shirase and S. Fujii, “Machine tool automation,” Springer Handbook of Automation, Nof edition, pp. 837-857, 2009.
[12] K. Shirase, K. Nakamoto, E. Arai, and T. Moriwaki, “Digital copy milling - autonomous milling process control without an NC program, Robotics and Computer-Integrated Manufacturing,” Vol.21, No.4-5, pp. 312-317, 2005.
[13] T. Shimada, K. Nakamoto, and K. Shirase, “Machining Strategy to Adapt Cutting Conditions under Digital Copy Milling Concept,” J. of Advanced Mechanical Design, System and Manufacturing, Vol.4, No.5, pp. 924-935, 2010.
[14] T. Hirooka, T. Kobayashi, A. Hakotani, R. Sato, and K. Shirase, “Surface roughness control based on digital copy milling concept to achieve autonomous milling operation,” Int. J. of Automation Technology, Vol.7, No.4, pp. 401-409, 2013.
[15] Y. Shinoki, M. M. Isnaini, R. Sato, and K. Shirase, “Automation of machining operation planning by reconfiguring past case data on machining operations,” Proc. of 2014 Int. Symp. on Flexible Automation (ISFA2014), 2014-63S, 2014.
[16] S. Igari, F. Tanaka, and M. Onosato, “Computer-aided operation planning for an actual machine tool based on updatable machining database and database-oriented planning algorithm,” Int. J. of Automation Technology, Vol.6, No.6, pp. 717-723, 2012.
[17] K. Nakamoto, K.. Shirase, H. Wakamatsu, A. Tsumaya, and E. Arai, “Automatic production planning system to achieve flexible direct machining,” JSME Int. J., Vol.47, No.1 (C series), pp. 136-143, 2004.
[18] E. Morinaga, M. Yamada, H. Wakamatsu, and E. Arai, “Flexible process planning method for milling,” Int. J. of Automation Technology, Vol.5, No.5, pp. 700-707, 2011.
[19] S. Park, “Generating intermediate models for process planning,” Int. J. of Production Research, Vol.44, No.11, pp. 2169-2182, 2006.
[20] M. M. Isnaini, R. Sato, and K. Shirase, “A concept of total removal volume feature in selecting machining sequence for generative automated process planning,” Proc. of the 7^th Int. Conf. on Leading Edge Manufacturing in 21^st Century, No.13-203, pp. 135-140, 2013.
[21] M. M. Isnaini, R. Sato, and K. Shirase, “Workpiece setup simulation based on machinable space of five-axis machining centers,” Procedia CIRP 2014, Vol.14, pp. 257-262, 2014.
[22] ISO/TC 39/SC 2 N2003, “Numerical compensation of geometric errors of machine tools.”
[23] E. Morinaga, T. Hara, H. Joko, H. Wakamatsu, and E. Arai, “Improvement of computational efficiency in flexible Computer-Aided Process Planning,” Int. J. of Automation Technology, Vol.8, No.3, pp. 396-405, 2014.
[24] T. Nishiyama, R. Sato, and K. Shirase, “Machinable space derivation of 5-axis machine tool and multi-tasking machine tools for workpiece setting decision,” Trans. of the JSME, C-79, 4543-4552, 2013.
[25] K. Shirase and K. Nakamoto, “Simulation technologies for the development of an autonomous and intelligent machine tool,” Int. J. of Automation Technology, Vol.7, No.1, pp. 6-15, 2013.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] E. A. Nasr and A. K. Kamrani, “Computer-Based Design and Manufacturing: an Information Based Approach,” Springer Science, 2007.

[2] [2] M. P. Groover, “Principle of Modern Manufacturing,” 4^th Ed., John Wiley & Sons, 2011.

[3] [3] G. Boothroyd and W. A. Knight, “Fundamentals of Machining and Machine Tools,” 2^nd Ed., Marcel Dekker, 1989.

[4] [4] M. M. Isnaini and K. Shirase, “Review of Computer-Aided Process Planning systems for machining operation -- Future development of a Computer-Aided Process Planning system,” Int. J. of Automation Technology, Vol.8, No.3, pp. 317-332, 2014.

[5] [5] W. Huang, Y. Hu, and L. Cai, “An effective hybrid graph and genetic algorithm approach to process planning optimization for prismatic parts,” Int. J. of Advanced Manufacturing Technology, Vol.62, No.9-12, pp. 1219-1232, 2012.

[6] [6] D. P. Gupta, B. Gopalakrishnan, S. A. Chaudari, and S. Jalali, “Development of an integrated model for process planning and parameter selection for machining processes,” Int. J. of Production Research, Vol.49, No.21, pp. 6301-6319, 2011.

[7] [7] M. Safaieh, A. Nassehi, and S. T. Newman, “A novel methodology for cross-technology interoperability in CNC machining,” Robotics and Computer-Integrated Manufacturing, Vol.29, No.3, pp. 79-87, 2012.

[8] [8] F. Musharavati and A. M. S. Hamouda, “Simulated annealing with auxiliary knowledge for process planning optimization in reconfigurable manufacturing,” Robotics and Computer-Integrated Manufacturing, Vol.28, No.2, pp. 113-131, 2012.

[9] [9] K. Lian, C. Zhang, X. Shao, and L. Gao, “Optimization of process planning with various flexibilities using an imperialist competitive algorithm,” Int. J. of Advanced Manufacturing Technology, Vol.59, No.5-8, pp. 815-828, 2012.

[10] [10] A. Prakash, F. T. S. Chan, and S. G. Deshmukh, “Application of knowledge-based artificial immune system (KBAIS) for computer aided process planning in CIM context,” Int. J. of Production Research, Vol.50, No.18, pp. 4937-4354, 2011.

[11] [11] K. Shirase and S. Fujii, “Machine tool automation,” Springer Handbook of Automation, Nof edition, pp. 837-857, 2009.

[12] [12] K. Shirase, K. Nakamoto, E. Arai, and T. Moriwaki, “Digital copy milling - autonomous milling process control without an NC program, Robotics and Computer-Integrated Manufacturing,” Vol.21, No.4-5, pp. 312-317, 2005.

[13] [13] T. Shimada, K. Nakamoto, and K. Shirase, “Machining Strategy to Adapt Cutting Conditions under Digital Copy Milling Concept,” J. of Advanced Mechanical Design, System and Manufacturing, Vol.4, No.5, pp. 924-935, 2010.

[14] [14] T. Hirooka, T. Kobayashi, A. Hakotani, R. Sato, and K. Shirase, “Surface roughness control based on digital copy milling concept to achieve autonomous milling operation,” Int. J. of Automation Technology, Vol.7, No.4, pp. 401-409, 2013.

[15] [15] Y. Shinoki, M. M. Isnaini, R. Sato, and K. Shirase, “Automation of machining operation planning by reconfiguring past case data on machining operations,” Proc. of 2014 Int. Symp. on Flexible Automation (ISFA2014), 2014-63S, 2014.

[16] [16] S. Igari, F. Tanaka, and M. Onosato, “Computer-aided operation planning for an actual machine tool based on updatable machining database and database-oriented planning algorithm,” Int. J. of Automation Technology, Vol.6, No.6, pp. 717-723, 2012.

[17] [17] K. Nakamoto, K.. Shirase, H. Wakamatsu, A. Tsumaya, and E. Arai, “Automatic production planning system to achieve flexible direct machining,” JSME Int. J., Vol.47, No.1 (C series), pp. 136-143, 2004.

[18] [18] E. Morinaga, M. Yamada, H. Wakamatsu, and E. Arai, “Flexible process planning method for milling,” Int. J. of Automation Technology, Vol.5, No.5, pp. 700-707, 2011.

[19] [19] S. Park, “Generating intermediate models for process planning,” Int. J. of Production Research, Vol.44, No.11, pp. 2169-2182, 2006.

[20] [20] M. M. Isnaini, R. Sato, and K. Shirase, “A concept of total removal volume feature in selecting machining sequence for generative automated process planning,” Proc. of the 7^th Int. Conf. on Leading Edge Manufacturing in 21^st Century, No.13-203, pp. 135-140, 2013.

[21] [21] M. M. Isnaini, R. Sato, and K. Shirase, “Workpiece setup simulation based on machinable space of five-axis machining centers,” Procedia CIRP 2014, Vol.14, pp. 257-262, 2014.

[22] [22] ISO/TC 39/SC 2 N2003, “Numerical compensation of geometric errors of machine tools.”

[23] [23] E. Morinaga, T. Hara, H. Joko, H. Wakamatsu, and E. Arai, “Improvement of computational efficiency in flexible Computer-Aided Process Planning,” Int. J. of Automation Technology, Vol.8, No.3, pp. 396-405, 2014.

[24] [24] T. Nishiyama, R. Sato, and K. Shirase, “Machinable space derivation of 5-axis machine tool and multi-tasking machine tools for workpiece setting decision,” Trans. of the JSME, C-79, 4543-4552, 2013.

[25] [25] K. Shirase and K. Nakamoto, “Simulation technologies for the development of an autonomous and intelligent machine tool,” Int. J. of Automation Technology, Vol.7, No.1, pp. 6-15, 2013.