Reference
- E. O. Ezugwu, and Z. M. Wang, Titanium alloys and their machinability-a review, J. Mater. Process. Technol. 68 (3), 262 (1997). DOI: https://doi.org/10.1016/S0924-0136(96)00030-1.
- W. Y. Shi, Y. Ma, and C. M. Yang, Research on cutting force and cutting vibration in milling of PE WPC, Int. J. Multimedia Ubiquitous Eng. 11 (10), 103 (2016). DOI: https://doi.org/10.14257/ijmue.2016.11.10.09.
- C. C. Jin, F. Li, and Z. P. Bao, Study on deep drawing of 304 stainless steel rectangular case with magnetic medium, Int. J. Adv. Manuf. Technol. 94 (1–4), 1525 (2018). DOI: https://doi.org/10.1007/s00170-017-1010-x.
- S. T. Newman et al., Energy efficient process planning for CNC machining, CIRP J. Manuf. Sci. Technol. 5 (2), 127 (2012). DOI: https://doi.org/10.1016/j.cirpj.2012.03.007.
- M. Winter et al., Determining optimal process parameters to increase the eco-efficiency of grinding processes, J. Cleaner Prod. 66, 644 (2014). DOI: https://doi.org/10.1016/j.jclepro.2013.10.031.
- S. Velchev et al., Empirical models for specific energy consumption and optimization of cutting parameters for minimizing energy consumption during turning, J. Cleaner Prod. 80, 139 (2014). DOI: https://doi.org/10.1016/j.jclepro.2014.05.099.
- J. R. Duflou et al., Towards energy and resource efficient manufacturing: A processes and systems approach, CIRP J. Manuf. Sci. Technol. 61 (2), 587 (2012). DOI: https://doi.org/10.1016/j.cirp.2012.05.002.
- T. Gutowski, J. Dahmus, and A. Thiriez, Electrical energy requirements for manufacturing processes[C], presented at the 13th CIRP International Conference on Life Cycle Engineering, Leuven, Belgium, May 31st-June 2nd 2006.
- R. R. Alessandro, and T. C. Reginaldo, Influence of the tool edge geometry on specific cutting energy at high-speed cutting, J. Braz. Soc. Mech. Sci. Eng. 29, 279 (2007). DOI: https://doi.org/10.1590/S1678-58782007000300007
- W. Li, and S. Kara, An empirical model for predicting energy consumption of manufacturing processes: A case of turning process, Proc. Inst. Mech. Eng. B J Eng. Manufact. 225, 636 (2001). DOI: https://doi.org/10.1177/2041297511398541
- R. D. Warren, Analysis of Material Removal Process (Springer-Verlag, New York, NY, 1992).
- J. C. Chen et al., CNC machine tool specific energy consumption modeling and analysis of its influential parameters, Modul. Mach. Tool Automat. Manufact. Tech. 16, 24 (2016). http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZHJC201601007.htm
- E. Azemović, I. Horman, and I. Busuladžić, Impact of planing treatment regime on solid fir wood surface, Procedia Eng. 69, 1490 (2014). DOI: https://doi.org/10.1016/j.proeng.2014.03.146.
- S. Tiryaki, A. Malkoçoğlu, and Ş. Özşahin, Using artificial neural networks for modeling surface roughness of wood in machining process, Constr. Build. Mater. 66, 329 (2014). DOI: https://doi.org/10.1016/j.conbuildmat.2014.05.098.
- J. M. Gutierrez-Villalobos et al., A review of parameter estimators and controllers for induction motors based on artificial neural networks, Neurocomputing 118, 87 (2013). DOI: https://doi.org/10.1016/j.neucom.2013.02.018.
- A. Khlaief, M. Boussak, and A. Châari, A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive, Electr. Power Syst. Res. 108, 1 (2014). DOI: https://doi.org/10.1016/j.epsr.2013.09.018.
- A. G. Bruzzone et al., Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops, CIRP J. Manuf. Sci. Technol. 61 (1), 459 (2012). DOI: https://doi.org/10.1016/j.cirp.2012.03.084.
- A. Ghandehariun et al., Investigation of sustainability in machining processes: Exergy analysis of turning operations, Int. J. Exergy. 17 (1), 1 (2015). DOI: https://doi.org/10.1504/IJEX.2015.069315.
- S. Kara, and W. Li, Unit process energy consumption models for material removal processes, CIRP J. Manuf. Sci. Technol. 60 (1), 37 (2011). DOI: https://doi.org/10.1016/j.cirp.2011.03.018.