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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/796
Title: Investigation of optimal process parameters of electro-chemical machining (ECM) for SS AISI 316 steel using the surface response method
Authors: Ngo Phuoc Loc 
Keywords: Electro-chemical machining (ECM);Surface response method;SS AISI 316
Issue Date: 2019
Publisher: Vietnamese-German University
Abstract: 
With the rapid development of material technology, methodology for manufacturing advanced material with highly flexible shape has been improved. Electro-Chemical Machining (ECM) is one of the most advanced manufacturing methods for not only manufacturing the high hardness metal with flexible profile, but it also provides a better solution to surface roughness of finished products and rate of material removal in the comparison with other advance manufacturing methodologies such as Electric Discharge Machining (EDM). However, there are many parameters involving to the ECM process such as velocity of the electrode, pressure of water, voltage, frequency and pulse of the current. Therefore, a set of optimization parameters for machining process of a material type is necessary to provide the best solution in industrial applications. This research focuses on investigating an optimal set of process parameters of the ECM machine by using the surface response methodology (SRM). A database of process parameters is generated by machining and minimizing the surface roughness of the SS AISI 316 stainless steel by using the copper electrode. Then, an objective function (or linear regression) is generated by applying the SRM to the selected database. Finally, a genetic algorithm is used to achieve the optimal process parameters. Investigating an optimal set of process parameters of the ECM machine for SS AISI 316 stainless steel via copper electrode by using the SRM.
URI(1): http://epub.vgu.edu.vn/handle/dlibvgu/796
Rights: Attribution-NonCommercial 4.0 International
Appears in Collections:Global Production Engineering & Management (GPEM)

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