Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-020-01648-0.pdf
Reference69 articles.
1. Ahilan, C., Kumanan, S., Sivakumaran, N., & Dhas, J. E. R. (2013). Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools. Applied Soft Computing, 13(3), 1543–1551.
2. Arif, M., Stroud, I. A., & Akten, O. (2014). A model to determine the optimal parameters for sustainable-energy machining in a multi-pass turning operation. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 228(6), 866–877. https://doi.org/10.1177/0954405413508945.
3. Chauhan, P., Pant, M., & Deep, K. (2015). Parameter optimization of multi-pass turning using chaotic PSO. International Journal of Machine Learning and Cybernetics, 6(2), 319–337. https://doi.org/10.1007/s13042-013-0221-1.
4. Chen, M. C. (2004). Optimizing machining economics models of turning operations using the scatter search approach. International Journal of Production Research, 42(13), 2611–2625. https://doi.org/10.1080/00207540410001666251.
5. Chen, M. C., & Tsai, D. M. (1996). A simulated annealing approach for optimization of multi-pass turning operations. International Journal of Production Research, 34(10), 2803–2825. https://doi.org/10.1080/00207549608905060.
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