Project: Optimization of ECM Machining Parameters on Hastelloy C22
VerifiedAdded on  2022/09/29
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Project
AI Summary
This project focuses on optimizing the machining parameters of Electrochemical Micro Machining (ECM) for Hastelloy C22, a nickel-based alloy known for its corrosion resistance. The student utilized the Taguchi-Grey relational analysis method to enhance the efficiency of the manufacturing process. The project involved experimental setups, parameter optimization, and analysis of factors such as applied voltage, electrolyte concentration, duty cycle, and current. The objectives included optimizing machining parameters, applying Taguchi-Grey methodology, ensuring optimal results, and analyzing the impact of process parameters on machining performance, material removal rate, and surface finish. The student's role included identifying project topics, selecting appropriate methods, conducting research, and documenting findings, including addressing technical challenges and collaborating with team members. The report details the experimental setup, methodology, the identified technical issue (current range), and the solutions applied. The project's goal was to provide maximum advantages and better applications by identifying the optimal mixture of process parameters to gain better response values and to find out the most inducing input process parameter within electrochemical micro machining.
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