IJAT Vol.14 No.6 pp. 951-958
doi: 10.20965/ijat.2020.p0951


Estimation of In-Process Power Consumption in Face Milling by Specific Energy Consumption Models

Tetsuo Samukawa, Kazuki Shimomoto, and Haruhiko Suwa

Faculty of Science and Engineering, Setsunan University
17-8 Ikeda-nakamachi, Neyagawa, Osaka 572-8508, Japan

Corresponding author

March 27, 2020
September 10, 2020
November 5, 2020
energy-efficient machining, face milling, machine tools, electrical power consumption, specific energy consumption

Prediction of energy consumption in the entire production system is crucial for managing production and pursuing environmentally friendly manufacturing. One critical issue that must be addressed to realize green manufacturing is to construct a method for predicting the electric power consumed by each manufacturing device. To address this problem, we have proposed a regression-based power consumption model to predict in-process power consumption based on the strong correlation between MRR and SEC. This study is an extension of our previous work, and here, we conducted face milling experiments by utilizing ten different materials to demonstrate the applicability and generalization capability of the model. We focused on the face milling process and measured the power consumption of the machine tool during the milling process. We also determined the characteristics of the in-process power consumption in face milling from the viewpoint of SEC and MRR and the influence of the work material on SEC. The prediction accuracy of the proposed model is demonstrated by comparison with a conventional model. It was revealed that the proposed model can describe the influence of the entire machine tool on power consumption depending on the characteristics of the work materials.

Cite this article as:
Tetsuo Samukawa, Kazuki Shimomoto, and Haruhiko Suwa, “Estimation of In-Process Power Consumption in Face Milling by Specific Energy Consumption Models,” Int. J. Automation Technol., Vol.14, No.6, pp. 951-958, 2020.
Data files:
  1. [1] T. Ogawa, “Building of Efficient, Energy-Saving Lines with an Extremely-Compact Machining Center and CNC Lathe,” Int. J. Automation Technol., Vol.4, No.2, pp. 150-154, 2010.
  2. [2] M. Mori, M. Fujishima, Y. Inamasu, and Y. Oda, “A study on energy efficiency improvement for machine tools,” CIRP Annals – Manufacturing Technology, Vol.60, pp. 145-148, 2011.
  3. [3] N. Uchiyama, Y. Ogawa, and S. Sano, “Energy saving for gantry-type feed drives by synchronous and contouring control,” Int. J. Automation Technol., Vol.6, No.3, pp. 363-368, 2012.
  4. [4] K. Sugimura and K. Suzuki, “Using Intermittently Operated Oil Hydraulic Pump Unit with Accumulator to Save Energy,” Int. J. Automation Technol., Vol.6, No.4, pp. 426-433, 2012.
  5. [5] M. Fujishima, H. Shimanoe, and M. Mori, “Reducing the Energy Consumption of Machine Tools,” Int. J. Automation Technol., Vol.11, No.4, pp. 601-607, 2017.
  6. [6] P. C. Priarone, M. Robiglio, L. Settineri, and V. Tebaldo, “Modelling of specific energy requirements in machining as a function of tool and lubricoolant usage,” CIRP Annals – Manufacturing Technology, Vol.65, pp. 25-28, 2016.
  7. [7] Y. Oda, M. Fujishima, and Y. Takeuchi, “Energy-Saving Machining of Multi-Functional Machine Tools,” Int. J. Automation Technol., Vol.9, No.2, pp. 135-142, 2015.
  8. [8] H. Narita, “A Method for Using a Virtual Machining Simulation to Consider Both Equivalent CO2 Emissions and Machining Costs in Determining Cutting Conditions,” Int. J. Automation Technol., Vol.9, No.2, pp. 115-121, 2015.
  9. [9] E. O’Driscoll, D. O. Cusack, and G. E. O’Donnell, “The Characterisation of Energy Consumption in Manufacturing Facilities – A Hierarchical Approach,” Int. J. Automation Technol., Vol.7, No.6, pp. 727-734, 2013.
  10. [10] H. Wang, Z. Jiang, Y. Wang, H. Zhang, and Y. Wang, “A Two-Stage Optimization Method for Energy-Saving Flexible Job-Shop Scheduling based on Energy Dynamic Characterization,” J. of Cleaner Production, Vol.188, pp. 575-588, 2018.
  11. [11] T. Samukawa and H. Suwa, “An Optimization of Energy-Efficiency in Machining Manufacturing Systems Based on a Framework of Multi-mode RCPSP,” Int. J. Automation Technol., Vol.10, No.6, pp. 985-992, 2016.
  12. [12] T. Samukawa, K. Shimomoto, and H. Suwa, “Study on Energy Efficiency Improvement of Entire Manufacturing System – Determination of Cutting Conditions Using Power Consumption Model in Machine Tools –,” J. of the Japanese Society for Experimental Mechanics, Vol.19, No.4, pp. 293-299, 2020 (in Japanese).
  13. [13] T. Matsumura, M. Shimada, K. Teramoto, and E. Usui, “Predictive Cutting Force Model and Cutting Force Chart for Milling with Cutter Axis Inclination,” Int. J. Automation Technol., Vol.7, No.1, pp. 30-38, 2013.
  14. [14] H. Narita, “A Determination Method of Cutting Coefficients in Ball End Milling Forces Model,” Int. J. Automation Technol., Vol.7, No.1, pp. 39-44, 2013.
  15. [15] T. Gutowski, J. Dahmus, and A. Thiriez, “Electrical Energy Requirements for Manufacturing Processes,” Proc. of 13th CIRP Int. Conf. on Life Cycle Engineering, pp. 1-5, 2006.
  16. [16] N. Diaz, E. Redelsheimer, and D. Dornfeld, “Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use,” Proc. of the 18th CIRP Int. Conf. on Life Cycle Engineering, pp. 263-267, 2011.
  17. [17] S. Kara and W. Li, “Unit Process Energy Consumption Models for Material Removal Processes,” CIRP Annals – Manufacturing Technology, Vol.60, pp. 37-40, 2011.
  18. [18] Y. Guo et al., “Optimization of Energy Consumption and Surface Quality in Finish Turning,” Procedia CIRP, Vol.1, pp. 551-517, 2012.
  19. [19] L. Li, J. Yan, and Z. Xing, “Energy Requirements Evaluation of Milling Machines Based on Thermal Equilibrium and Empirical Modelling,” J. of Cleaner Production, Vol.52, pp. 113-121, 2013.
  20. [20] S. Velchev, I. Kolev, K. Ivanov, and S. Gechevski, “Empirical Models for Specific Energy Consumption and Optimization of Cutting Parameters for Minimizing Energy Consumption During Turning,” J. of Cleaner Production, Vol.80, pp. 139-149, 2014.
  21. [21] M. P. Sealy, Z. Y. Liu, D. Zhang, Y. B. Guo, and Z. Q. Liu, “Energy Consumption and Modeling in Precision Hard Milling,” J. of Cleaner Production, Vol.135, pp. 1591-1601, 2016.
  22. [22] H. Budinoff, R. Bhinge, and D. Dornfeld, “A Material-General Energy Prediction Model for Milling Machine Tools,” Proc. of Int. Symp. on Flexible Automation (ISFA2016), pp. 161-164, 2016.
  23. [23] T. Samukawa and H. Suwa, “A Basic Study of Predicting In-Process Energy Consumption in Machining Based on Specific Energy Consumption,” J. of the Japan Society for Precision Engineering, Vol.83, No.4, pp. 367-374, 2017 (in Japanese).
  24. [24] T. Samukawa, K. Shimomoto, and H. Suwa, “Capability of In-Process Specific Energy Consumption Model in Face Milling,” Proc. of 2018 Int. Symp. on Flexible Automation, S044, 2018.

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Last updated on Mar. 05, 2021