Multi-objective Optimization of Cutting Conditions When Turning Aluminum Alloys (1350-O and 7075-T6 Grades) Using a Genetic Algorithm
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-319-19009-9_12
Reference40 articles.
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5. S. Karagiannis, P. Stavropoulos, C. Ziogas, J. Kechagias, Prediction of surface roughness magnitude in computer numerical controlled end milling processes using neural networks, by considering a set of influence parameters: an aluminium alloy 5083 case study. Proc. IMechE B J. Eng. Manuf. 228(2), 233–244 (2014). doi: 10.1177/0954405413498582
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