Chinnaraj, P (2023) Optimization of Metal-Matrix Composites by W-EDM with CNT. In: 2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS), Chennai, India.
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Abstract
The EDM procedure is typically used to machining the Al6061 metal matrix composites with silicon carbide (SiC) with carbon nanotube reinforcement (CNT). The Metal Removal Rate (MRR), Surface Roughness (SR) as well as Tool Wear Rate (TWR) of the work piece material could potentially be measured using this method. Fundamental machining characteristics impacting the process's performance includingpulse ON time, discharge current as well as duty cycle were input attributes using Taguchi's parameter formulation. For each possible arrangement, a performance criterion has indeed been computed. The MRR, SR and TWR for every combination were computed in this investigation. The acquired outcomes have been tabulated. The research indicates that by employing grey relational analysis (GRA) to optimise the EDM parameters, improved MRR, TWR, and SR could be attained. MRR, TWR, and SR were 0.301 g/m m3, 0.003 g/mm3, and 4.03 m, respectively, according to the optimum outcomes of this research.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Carbon nanotube reinforcements; EDM; Machining characteristics; Matrix composite; Metal matrix; Metal matrix composite; Metal removal rate; Optimisations; Tool wear rate; Wear surface |
Subjects: | F Mechanical Engineering > Machining F Mechanical Engineering > Manufacturing Engineering I Mathematics > Optimization Techniques |
Divisions: | Mathematics |
Depositing User: | Users 5 not found. |
Date Deposited: | 17 Aug 2024 03:35 |
Last Modified: | 17 Aug 2024 03:35 |
URI: | https://ir.psgitech.ac.in/id/eprint/946 |