Influence of machining parameters on wire electrical discharge machining performance of reduced graphene oxide/magnesium composite and its surface integrity characteristics
Taguchi coupled grey relation analysis is adopted to study the effects of machining parameters of Wire Electrical-Discharge Machining (WEDM) on magnesium metal matrix composite reinforced with Reduced Graphene Oxide(r-GO). An optimal combination of process parameter was expected to be finalized in t...
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Published in | Composites. Part B, Engineering Vol. 167; pp. 621 - 630 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
15.06.2019
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Abstract | Taguchi coupled grey relation analysis is adopted to study the effects of machining parameters of Wire Electrical-Discharge Machining (WEDM) on magnesium metal matrix composite reinforced with Reduced Graphene Oxide(r-GO). An optimal combination of process parameter was expected to be finalized in this research to attain maximum Material Removal Rate (MRR) with a minimal surface roughness (Ra) value. The composite was fabricated through solvent based powder metallurgy route for varying percentage of r-GO. Experimental combination for WEDM of developed composite specimens were finalized to be L27 orthogonal array (OA) using Taguchi's method mainly based on the control factors namely reinforcement weight percentage (wt.%), pulse ON time (P1), pulse OFF time (P2) and wire feed rate (Wfd). ANOVA results revealed that wt.% and P1 are the most influencing parameters for MRR and Ra. Outputs scaleup that the developed regression model augments well with the experimental values. Using grey relation analysis (GRA) the optimal parameter was set and the final results obtained based on the optimal combination was found to be with a maximum MRR (18.38 mm3/min) and minimum Ra (3.29 μm). Traces of intermetallic formation are identified over the machined surface due to the action of machining parameters. |
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AbstractList | Taguchi coupled grey relation analysis is adopted to study the effects of machining parameters of Wire Electrical-Discharge Machining (WEDM) on magnesium metal matrix composite reinforced with Reduced Graphene Oxide(r-GO). An optimal combination of process parameter was expected to be finalized in this research to attain maximum Material Removal Rate (MRR) with a minimal surface roughness (Ra) value. The composite was fabricated through solvent based powder metallurgy route for varying percentage of r-GO. Experimental combination for WEDM of developed composite specimens were finalized to be L27 orthogonal array (OA) using Taguchi's method mainly based on the control factors namely reinforcement weight percentage (wt.%), pulse ON time (P1), pulse OFF time (P2) and wire feed rate (Wfd). ANOVA results revealed that wt.% and P1 are the most influencing parameters for MRR and Ra. Outputs scaleup that the developed regression model augments well with the experimental values. Using grey relation analysis (GRA) the optimal parameter was set and the final results obtained based on the optimal combination was found to be with a maximum MRR (18.38 mm3/min) and minimum Ra (3.29 μm). Traces of intermetallic formation are identified over the machined surface due to the action of machining parameters. |
Author | Kavimani, V. Prakash, K. Soorya Thankachan, Titus |
Author_xml | – sequence: 1 givenname: V. surname: Kavimani fullname: Kavimani, V. email: manikavi03@gmail.com organization: Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, 641 021, Tamil Nadu, India – sequence: 2 givenname: K. Soorya surname: Prakash fullname: Prakash, K. Soorya email: k_soorya@yahoo.co.in organization: Department of Mechanical Engineering, Anna University Regional Campus, Coimbatore, 641 046, Tamil Nadu, India – sequence: 3 givenname: Titus surname: Thankachan fullname: Thankachan, Titus email: titusmech007@gmail.com organization: Department of Mechanical Engineering, Karunya Institue of Technology and Sciences, Coimbatore, 641 114, Tamil Nadu, India |
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Keywords | Surface roughness MRR Surface characterization r-GO Solvent based powder metallurgy WEDM |
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Title | Influence of machining parameters on wire electrical discharge machining performance of reduced graphene oxide/magnesium composite and its surface integrity characteristics |
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