Title: Hybrid Taguchi-GRA-PCA approach for multi-response optimisation of turning process parameters under HPC condition
Authors: Prianka B. Zaman; Shanta Saha; Nikhil Ranjan Dhar
Addresses: Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh ' Department of Industrial and Production Engineering, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh ' Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
Abstract: Process parameter optimisation is important in manufacturing. An effective and efficient manufacturing process offers low temperature, low force and high material removal rate without compromising the product quality. An experimental investigation designed by Taguchi's orthogonal array for turning AISI 1060 steel by uncoated carbide insert under high-pressure coolant (HPC) condition. Since all these aforementioned responses are mutually conflicting, simultaneous multi-response optimisation is required to acquire a trade-off among the responses. Standalone Taguchi method is not sufficient for multi-response optimisation. Grey relational analysis (GRA) can be coupled with Taguchi method to overcome this complexity, where overall process performance index grey relational grade (GRG) is calculated and used for the optimisation of the process by using Taguchi's S/N ratio. Principal component analysis (PCA) can be utilised to determine the individual importance of each response, which facilitate accurate computation of overall GRG. The effect of process parameters on GRG was analysed using analysis of variance (ANOVA). Validation by confirmation test was also performed.
Keywords: multi-response optimisation; MRO; Taguchi method; grey relational analysis; GRA; principal component analysis; PCA; high-pressure coolant; HPC.
International Journal of Machining and Machinability of Materials, 2020 Vol.22 No.3/4, pp.281 - 308
Received: 28 Jan 2019
Accepted: 17 Jun 2019
Published online: 01 May 2020 *