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• W2316016101 abstract "The optimization of performance characteristics in turning process can be achieved through selection of proper machining parameters. It is well known that many researchers have successfully reported the optimization of single performance characteristic. Nevertheless, the multi-objective optimization can be difficult and challenging to be studied due to its complexity in analysis. This is because an improvement of one performance characteristic may lead to degradation of other performance characteristic. As a result, the study of multi-objective optimization in CNC turning of S45C carbon steel has been attempted in this paper through Taguchi and Grey Relational Analysis (GRA) method. Through this methodology, the multiple performance characteristics, namely; surface roughness, material removal rate (MRR), tool wear, and power consumption; can be optimized simultaneously. It appears from the experimental results that the multiple performance characteristics in CNC turning was achieved and improved through the methodology employed." @default.
• W2316016101 created "2016-06-24" @default.
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• W2316016101 date "2016-02-01" @default.
• W2316016101 modified "2023-09-24" @default.
• W2316016101 title "Grey Relational Analyses for Multi-Objective Optimization of Turning S45C Carbon Steel" @default.
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• W2316016101 doi "https://doi.org/10.1088/1757-899x/114/1/012023" @default.
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