학술논문

Optimization of Metal-Matrix Composites by W-EDM with CNT
Document Type
Conference
Source
2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS) Intelligent Computing and Control for Engineering and Business Systems (ICCEBS), 2023. :1-7 Dec, 2023
Subject
Bioengineering
Computing and Processing
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Silicon carbide
Surface discharges
Process control
Metals
Machining
Surface roughness
Surface treatment
Al6061
metal matrix composites
SiC
EDM
CNT
Optimization
Language
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/$\mathrm{m}{{\mathrm{m}}^3}$, 0.003 g/$\mathrm{m}{{\mathrm{m}}^3}$, and 4.03 m, respectively, according to the optimum outcomes of this research.