Surface Roughness Prediction and Cutting Parameters Optimization in High-Speed Milling AlMn1Cu Using Regression and Genetic Algorithm

Wang, Z. H.; Yuan, Jun; Hu, Xiao Qiu; Deng, Weishi

doi:10.1109/icmtma.2009.599

Cited by 4 publications

(1 citation statement)

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“…GENETIC ALGORITHM-GA is one of the optimization techniques which are used by many of the researchers to find the optimal surface roughness in non-traditional machining process [12,13,14]. The basic structure of GA optimization methodology is depicted in Fig.4 Fig .…”

Section: Optimization Of Edm Of Superalloy-mentioning

confidence: 99%

Optimization of Electro Discharge Machining of Superalloys and Composites: A Review

2015

International Conference on Advancements and Recent Innovations in Mechanical, Production and Industrial Engineering

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Abstract-Electro discharge machining (EDM) processis a well-established advanced machining process for producing complex geometry with close tolerances in these materials that are extremely difficult-to-machine by conventional machining processes. EDM process offers a better alternative or sometimes the only alternative for generating accurate three dimensional complex shapes of macro, micro and nano features in difficult-tomachine materials among other advanced machining processes. The success of the EDM process depends upon the selection of appropriate process parameters. The selection of preferred process parameters plays a significant role to ensure quality of product and to reduce the machining cost in computer controlled machining process. Hence, Optimization methods applied for machining process are necessary for continuous improvement of the machining process. The objective of this paper is to offer comprehensive knowledge concerning the optimization of electro discharge machining of superalloys and composites materials.

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Section: Optimization Of Edm Of Superalloy-mentioning

confidence: 99%