Energy optimisation for the combination of turning and drilling features using differential evolution
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-30671-w.pdf
Reference30 articles.
1. Chen X, Li C, Jin Y, Li L (2018) Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials. Int J Adv Manuf Technol 96:775–788. https://doi.org/10.1007/s00170-018-1647-0
2. Das S, Suganthan PN (2010) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evol Comput 15(1):4–31. https://doi.org/10.1109/TEVC.2010.2059031
3. Gupta R, Shishodia KS, Sekhon GS (2001) Optimization of grinding process parameters using enumeration method. J Mater Process Technol 112(1):63–67. https://doi.org/10.1016/S0924-0136(01)00546-5
4. He K, Tang R, Zhang Z, Sun W (2016) Energy consumption prediction system of mechanical processes based on empirical models and computer-aided manufacturing. J Comput Inf Sci Eng 16(4):041008. https://doi.org/10.1115/1.4033921
5. Hu L, Liu Y, Lohse N, Tang R, Lv J, Peng C, Evans S (2017) Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed. Energy 139:935–946. https://doi.org/10.1016/j.energy.2017.08.032
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