Nghiên cứu tổng quan về tính toán năng lượng tiêu thụ trên các máy gia công CNC
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Từ khóa:
Năng lượng tiêu thụ
máy CNC
mô hình hóa
gia công
Tóm tắt
Trong thời đại Công nghiệp 4.0 hiện nay, năng lượng đã trở thành yếu tố sống còn trong sản xuất công nghiệp của mọi quốc gia. Sự lên, xuống giá cả của nhiên liệu hóa thạch có thể đảo lộn mọi mặt của đời sống sản xuất và kinh tế. Tiết kiệm năng lượng, sử dụng hiệu quả năng lượng là giải pháp khả thi nhất và nằm trong khả năng của nền sản xuất. Để thực hiện điều này, cần thiết phải có mô hình tính toán chính xác về năng lượng tiêu thụ trong quá trình sản xuất. Bài báo này trình bày kết quả khảo sát các công trình nghiên cứu đã được công bố trong khoảng 10 năm trở lại đây về vấn đề mô hình hóa năng lượng tiêu hao trong quá trình gia công cắt gọt trên máy công cụ điều khiển kỹ thuật số (CNC). Kết quả của việc phân tích, đánh giá có thể dùng tham khảo, đề xuất các hướng nghiên cứu, các giải pháp đáp ứng yêu cầu cải thiện hiệu quả sử dụng và khả năng tiết kiệm năng lượng trong quá trình gia công.
Tài liệu tham khảo
-
[1] Y. Zhang, D. Zhang, B. Wu, “An approach for machining allowance optimization of complex Parts with integrated structure”, Journal of Computational Design and Engineering, 2015, pp. 1-8.
[2] S. T. Newman, A. Nassehi. R. Imani-Asrai, V. Dhokia, “Energy Efficient process planning for CNC machining”, CIRP Journal of Manufacturing Science and Technology, 5, 2012, pp. 127-136.
[3] G. Kant, K. S. Shangwan, “Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining”, Journal of Cleaner Production, 2014, pp. 1-47.
[4] T. Gutowski, J. Dahmus, A. Thiriez, “Electrical energy requirements for manufacturing processes”, 13th CIRP International Conference on Life Cycle Engineering, Leuven, 2006, pp. 1-5.
[5] Q. Yi, C. Li, Y. Tang, X. Chen, “Multi-objective parameter optimization of CNC machining for low carbon manufacturing”, Journal of Cleaner Production, 95, 2015, pp. 256-264.
[6] A. Li, L. Li, Y. Tang, Y. Zhu, L. Li, “A comprehensive approach to parameters optimization of energy-aware CNC milling”, J Intell Manuf, 2016, pp. 1-16.
[7] X. Chen, C. Lia, Y. Tang, L. Li, Y. Du, L. Li, “Integrated optimization of cutting tool and cutting parameters in face milling for minimizing energy footprint and production time”, Energy, 175, 2019, pp. 1021-1037.
[8] Y. He, F. Liu, T. Wu, F-P. Zhong, B. Peng, “Analysis and estimation of energy consumption for numerical control machining”, Proc. IMechE Vol. 226 Part B: J. Engineering Manufacture, 2011, pp. 255-266.
[9] S. Kara, W. Li, “Unit process energy consumption models for material removal processes”, CRIP Annals – Manufacturing Technology, 60, 2011, pp. 37-40.
[10] M. Mori, M. Fujishima, Y. Inamasu, Y. Oda, “A study on energy efficiency improvement for machine tools”, CIRP Annals – Manufacturing Technology, 60, 2011, pp. 145-148.
[11] Q. Wang, F. Liu, X. Wang, “Multi-objective optimization of machining parameters considering energy consumption”, Int J Adv Manuf Technol, 71, 2013, pp. 1133–1142.
[12] V. A. Balogun, P. T. Mativenga, “Modelling of direct energy requirements in mechanical machining processes”, Journal of Cleaner Production, 41, 2013, pp. 179-186.
[13] M. L. Calvanese, P. Albertelli, A. Matta, M. Taisch, “Analysis of Energy Consumption in CNC Machining Centers and Determination of Optimal Cutting Conditions”, 20th CIRP International Conference on Life Cycle Engineering, 2013, pp. 227-232.
[14] C. Li, X. Chen, Y. Tang, L. Li, “Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost”, Journal of Cleaner Production, 2017, pp. 1-23.
[15] J. Lv, R. Tang, S. Jia, Y. Liu, “Experimental study on energy consumption of computer numerical control machine tools”, Journal of Cleaner Production, 2016, pp. 1-11.
[16] J. Lv, R. Tang, W. Tang, S. Jia, Y. Liu, Y. Cao, “An investigation into methods for predicting material removal energy consumption in turning”, Journal of Cleaner Production, 2018, pp. 1-29.
[17] K. He, H. Hong, R. Tang, J. Wei, “Analysis of Multi-Objective Optimization of Machining Allowance Distribution and Parameters for Energy Saving Strategy”, Sustainability, 12, 2020, pp. 1-32.
[18] N. Diaz, E. Redelsheimer, D. Dornfeld, “Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use”, Proceedings of the 18th CIRP International Conference on Life Cycle Engineering, Technische Universität Braunschweig, Braunschweig, Germany, May 2nd - 4th, 2011, pp. 263-267.
[19] J. Li & Y. Lu & H. Zhao, P. Li, Y. Yao, “Optimization of cutting parameters for energy saving”, Int J Adv Manuf Technol, 70, 2013, pp. 117-124.
[20] A. Aramcharoen, P. T. Mativenga, “Critical factors in energy demand modelling for CNC milling and impact of toolpath strategy”, Journal of Cleaner Production, 2014, pp. 1-35.
[21] S. Velchev, I. Kolev, K. Ivanov, S. Gechevski, “Empirical models for specific energy consumption and optimizing of cutting parameters for minimizing energy consumption during turning”, Journal of Cleaner Production, 80, 2014, pp. 139-149.
[22] H. S. Yoon, J. Y. Lee, M. S. Kim, S. H. Ahn, “Empirical power-consumption model for material removal in three-axis milling”, Journal of Cleaner Production, 78, 2014, pp. 54-62.
[23] F. Liu, J. Xie, S. Liu, “A method for predicting the energy consumption of the main driving system of a machine tool in a machining process”, Journal of Cleaner Production, 105, 2015, pp. 171-777.
[24] Z. Zhang, R. Tanga, T. Penga, L. Taob, S. Jia, “A method for minimizing the energy consumption of machining system: integration of process planning and scheduling”, Journal of Cleaner Production, 137, 2016, pp. 1647-1662.
[25] P. Albertelli, A. Keshari, A. Matta, “Energy oriented multi cutting parameter optimization in face milling”, Journal of Cleaner Production, 137, 2016, pp. 1602-1618.
[26] K. He, R. Tang, Z. Zhang, W. Sun, “Energy Consumption Prediction System of Mechanical Processes Based on Empirical Models and Computer-Aided Manufacturing”, Journal of Computing and Information Science in Engineering, 16, 2016, p. 1-10.
[27] R. S. Altıntaş, M. Kahya, H. O. Unver, “Modelling and optimization of energy consumption for featurea based milling”, Int J Adv Manuf Technol, 2016, pp. 1-19.
[28] S. Borgia, P. Albertelli, G. Bianchi, “A simulation approach for predicting energy use during general milling operations”, Int J Adv Manuf Technol, 2016, pp. 1-15.
[29] W. Cai, F. Liu, X. N. Zhou, J. Xie, “Fine energy consumption allowance of workpieces in the mechanical manufacturing industry”, Energy, 114, 2016, pp. 623-633.
[30] A. Li, Q. Xiao, Y. Tang, L. Li, “A method integrating Taguchi, RSM and MOPSO to CNC machining parameters optimization for energy saving”, Journal of Cleaner Production, 135, 2016, pp. 263-275.
[31] F. Ma, H. Zhang, H. Cao, K. K. B. Hon, “An energy consumption optimization strategy for CNC milling”, Int J Adv Manuf Technol, 2016, pp. 1-12.
[32] T. Peng, X. Xu, “An interoperable energy consumption analysis system for CNC machining”, Journal of Cleaner Production, 140, 2017, pp. 1828-1841.
[33] K. He, R. Tanga, M. Jin, “Pareto fronts of machining parameters for trade-off among energy consumption, cutting force and processing time”, Int. J. Production Economics, 185, 2017, pp. 113-127.
[34] L. Li, C. Li, Y. Tang, Q. Yi, “Influence Factors and Operational Strategies for Energy Efficiency Improvement of CNC Machining”, Journal of Cleaner Production, 2017, pp. 1-30.
[35] H. Wang, R. Y. Zhong, G. Liu, W. Mu, X. Tian, D. Leng, “An optimization model for energy-efficient machining for sustainable production”, Journal of Cleaner Production, 232, 2019, pp. 1121-1133.
[36] F. Han, L. Li, W. Cai, C. Li, X. Deng, J. W. Sutherland, “Parameters optimization considering the trade-off between cutting power and MRR based on Linear Decreasing Particle Swarm Algorithm in milling”, Journal of Cleaner Production 262, 2020, pp. 1-10.
[37] T. Bherendt, A. Zein, S. Min, “Development of an energy consumption monitoring procedure for machine tools”, CIRP Annals - Manufacturing Technology, 61, 2012, pp. 43-46.
[38] U. Gotze, H. J. Koriah, A. Kolesnikov, R. Lindner, J. Paetzold, “Integrated methodology for the evaluation ofthe energy- and cost-effectiveness of machine tools”, CIRP Journal of Manufacturing Science and Technology, 5, 2012, pp. 151-163.
[39] Y. He, Y. Lia, T. Wu, J. W. Sutherland, “An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops”, Journal of Cleaner Production, 2014, pp. 1-10.
[40] C. G. Liu, J. Yang, J. Lian, W. J. Li, S. Evans, Y. Yin, “Sustainable performance-oriented operational decision-making of single-machine systems with deterministic product arrival time”, Journal of Cleaner Production, 85, 2014, pp. 318-330.
[41] J. Lv, R. Tang, W. Tang, Y. Liu, Y. Zhang, S. Jia, “An investigation into reducing the spindle acceleration energy consumption of machine tools”, Journal of Cleaner Production, 2016, pp. 1-10.
[42] J. Lv, R. Tang, W. Tang, Y. Liu, Y. Zhang, S. Jia, “An investigation into reducing the spindle acceleration energy consumption of machine tools”, Journal of Cleaner Production, 143, 2017, pp. 794-803.
[43] Q. Yi, C. Li, Q. Ji, D. Zhu, Y. Jin, L. Li, “Design optimization of lathe spindle system for optimum energy efficiency”, Journal of Cleaner Production, 2019, pp. 1-26.
[44] Y. Oda, M. Mori, K. Ogawa, S. Nishida, M. Fujishima, T. Kawamura, “Study of optimal cutting condition for energy efficiency improvement in ball end milling with tool-workpiece inclination”, CIRP Annals – Manufacturing Technology, 61, 2012, pp. 119-122.
[45] N. Liu, Y. F. Zhang, W. F. Lu, “A hybrid approach to energy consumption modelling based on cutting power: a milling case”, Journal of Cleaner Production, 104, 2015, pp. 264-272.
[46] M. P. Sealy, Z. Y. Liu, D. Zhang, Y. B. Guo, Z. Q. Liu, “Energy consumption and modeling in precision hard milling”, Journal of Cleaner Production, 135, 2016, pp. 1591-1601.
[47] R. Kumar, P. S. Bilga, S. Singh, “Multi objective optimization using different methods of assigning weights to energy consumption responses, surface roughness and material removal rate during rough turning operation”, Journal of Cleaner Production, 2017, pp. 1-26.
[48] H. Zhang, Z. Deng, Y. Fu, L. Wan, W. Liu, “Optimization of process parameters for minimum energy consumption based on cutting specific energy consumption”, Journal of Cleaner Production, 2017, pp. 1-20.
[49] C. Shoba, D. S. Prasad, A. Sucharitaa, M. Abishek, M. S. Koundinya, “Investigation of Surface Roughness, Power Consumption, MRR and Tool wear while turning hybrid composites”, Materials Today: Proceedings, 5, 2018, pp. 16565-16574.
[50] A. M. Khan, M. Jamil, K. Salonitis, S. Sarfraz, W. Zhao, N. He, M. Mia, G. Zhao, “Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling”, Energies, 2019, pp. 01-22.
[51] K. N. Shi, J. X. Ren, S. B. Wang, N. Liu, Z. M. Liu, D.H. Zhang, W. F. Lu, “An improved cutting power-based model for evaluating total energy consumption in general end milling process”, Journal of Cleaner Production, 231, 2019, pp. 1330-1341.
[52] J. Zhao, J. Zhao, L. Li, Y. Wang, J. W. Sutherland, “Impact of surface machining complexity on energy consumption and efficiency in CNC milling”, The International Journal of Advanced Manufacturing Technology, 2019, pp. 1-15.
[53] A. Balasubramanian, S. Venkatesan, “Optimization of process parameters using response surface methodology for the removal of phenol by emulsion liquid membrane”, Polish Journal of Chemical Technology, 14, 1, 2012, pp. 46-49.
[54] O. I. Avram, P. Xirouchakis, “Evaluating the use phase energy requirements of a machine tool system”, Journal of Cleaner Production, 19, 2011, pp. 699-711.
[55] K. Xu, M. Luo, K. Tang, “Machine based energy-saving tool path generation for five-axis end milling of freeform surfaces”, Journal of Cleaner Production, 139, 2016, pp. 1207-1223.
[56] I. F. Edem, P. T. Mativenga, “Modelling of energy demand from computer numerical control (CNC) toolpaths”, Journal of Cleaner Production, 2017, pp. 1-39.
[57] W. Lee, S. H. Kim, J. Park, B. K. Min, “Simulation-based machining condition optimization for machine tool energy consumption reduction”, Journal of Cleaner Production, 150, 2017, pp. 352-360
[58] L. Li, X. Deng, J. Zhao, F. Zhao, J. W. Sutherland, “Multi-objective optimization of tool path considering efficiency, energy-saving and carbon-emission for free-form surface milling”, Journal of Cleaner Production, 2017, pp. 1-21.
[59] S. J. Shin, J. Woo, S. Rachuri, “Energy efficiency of milling machining: Component modeling and online optimization of cutting parameters”, Journal of Cleaner Production, 2017, pp. 1-36.
[60] R. Schlosser, F. Klocke, D. Lung, “Sustainabilty in Manufacturing – Energy Consumption of Cutting Processes”, Advances in Sustainable Manufacturing: Proceedings of the 8th Global Conference 85 on Sustainable Manufacturing, 2011, Springer-Verlag Berlin Heidelberg, pp. 85-89.
[61] C. Zhang, W. Li, P. Jiang, P. Gu, “Experimental investigation and multi-objective optimization approach for low-carbon milling operation of aluminum”, J M ech anical Engineer ing Science, 2016, pp. 2753-2772.
[62] J. Yan, L. Li, “Multi-object Optimization of milling parameters – the trade-offs between energy, production rate and cutting quality”, Journal of Cleaner Production, 52, 2013, pp. 462-471.
[63] T. Peng, X. Xu, “Energy-efficient machining systems: A critical review”, International Journal of Advanced Manufacturing Technology, 2014, pp. 1-30.
[64] I. Hanafi, A. Khamlichi, F. M. Cabrera, E. Almansa, A. Jabbouri, “Optimizing of cutting conditions for sustainable machining of PEEK-CF30 using TiN tools”, Journal of Cleaner Production, 33, 2012, pp. 01-09.
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Van Duong Dao, Lai Anh Tuan, Do Tien Lap, Duong Xuan Bien. “Nghiên cứu tổng Quan về tính toán năng lượng Tiêu thụ Trên các máy Gia công CNC”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 18, số p.h 8, Tháng Tám 2020, tr 18-24, https://jst-ud.vn/jst-ud/article/view/3269.
