Predictive Modelling and Optimization of Machining Parameters to Minimize Surface Roughness using Artificial Neural Network Coupled with Genetic Algorithm
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference22 articles.
1. Arrazola P.J., Umbrello D., Davies M., Jawahir I.S., 2013. Recent Advances in Modelling of Metal Machining Processes, CIRP Ann. - Manuf. Technol. 62, p. 695.
2. Kant G., Sangwan K.S., 2014. Prediction and Optimization of Machining Parameters for Minimizing Power Consumption and Surface Roughness in Machining, J. Clean. Prod. 83, p. 151.
3. Benardos P.G., Vosniakos G., 2003. Predicting Surface Roughness in Machining : A Review, Int. J. Mach. Tools Manuf. 43, p. 833.
4. Van Luttervelt C.A., Childs T.H.C., Jawahir I.S., Klocke F. Venuvinod, P.K., Altintas Y., Armarego E., Dornfeld D., Grabec I., Leopold J., Lindstrom B., Lucca D., Obikawa T., Sato H., 1998. Present Situation and Future Trends in Modelling of Machining Operations Progress Report of the CIRP Working Group —Modelling of Machining Operations.‖ CIRP Ann. - Manuf. Technol. 47, p. 587.
5. Mukherjee I., Ray P.K., 2006. A Review of Optimization Techniques in Metal Cutting Processes, Comput. Ind. Eng. 50, p. 15.
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