WEDM Parameter Optimization for Silicon@r-GO/Magneisum Composite Using Taguchi Based GRA Coupled PCA

• Published in: SILICON 2020-05, Vol.12 (5), p.1161-1175
• Main Authors: Kavimani, V., Prakash, K. Soorya, Thankachan, Titus, Nagaraja, S., Jeevanantham, A. K., Jhon, Jithin P.
• Format: Article
• Language: English
• Subjects: Alloys; Chemistry; Chemistry and Materials Science; Composite materials; Content analysis; Corrosion resistance; Electric discharge machining; Environmental Chemistry; Feed rate; Graphene; Inorganic Chemistry; Lasers; Magnesium; Material removal rate (machining); Materials Science; Mechanical engineering; Metal matrix composites; Minimal surfaces; Nanoparticles; Optical Devices; Optics; Optimization; Original Paper; Orthogonal arrays; Photonics; Polymer Sciences; Powder metallurgy; Principal components analysis; Process parameters; Silicon; Solid lubricants; Surface roughness; Taguchi methods; Wire
• ISSN: 1876-990X; 1876-9918
• DOI: 10.1007/s12633-019-00205-6

A combination of Taguchi methodology and Grey Relational Analysis (GRA) inturn coupled with principal component analysis (PCA) has been proposed through this paper. This methodology is adopted in order to evaluate and estimate the effect of machining parameters over the output responses of Wire Electrical-Discharge Machining (WEDM) performed on Magnesium based metal matrix composite. In this research, an optimal combination of process parameter was expected to be finalized so as to attain a state of maximum Material Removal Rate (MRR) that too with minimal surface roughness (Ra) value. WEDM of developed composite specimens were confirmed to be of L27 orthogonal array(OA) using Taguchi’s method, based mainly on control factors namely reinforcement weight percentage (wt.%), Doping (DP %), Pulse ON time (T-ON), Pulse OFF time (T-OFF) and wire feed rate (WF). ANOVA outcome reveals that wt.% and DP% are the most influencing parameter for MRR and Ra. Multiobjective responses were normalized using GRA; further PCA was applied to evaluate the weighting values corresponding to each performance. The optimial parameter was set and the final results obtained depending on the optimal combination was found to be with a maximum MRR of 14.9 mm 3 /min and a minimum Ra of 2.04 μm.