TAILIEUCHUNG - Application of Taguchi-grey multi responses optimization on process parameters in electro erosion

(BQ) From the experimental results, it has been found that the electrical conductivity of the tool electrode has the most influencing nature on the machining characteristics in EDM process. The optimal combination of the input process parameters has been obtained using Taguchi-grey relational analysis. | Measurement 58 (2014) 495–502 Contents lists available at ScienceDirect Measurement journal homepage: Application of Taguchi-grey multi responses optimization on process parameters in electro erosion T. Muthuramalingam a,⇑, B. Mohan b a b Department of Mechatronics Engineering, SRM University, Kattankulathur, India Department of Mechanical Engineering, Anna University, Chennai, India a r t i c l e i n f o Article history: Received 3 April 2014 Received in revised form 4 September 2014 Accepted 11 September 2014 Available online 19 September 2014 Keywords: Current Duration EDM Optimization Spark Taguchi a b s t r a c t Convention Taguchi method deals with only single response optimization problems. Since the electrical discharge machining process involved with many response parameters, Taguchi method alone cannot help to obtain optimal process parameters in such process. In the present work, an endeavor has been made to derive optimal combination of electrical process parameters in electro erosion process using grey relational analysis with Taguchi method. This multi response optimization of the electrical discharge machining process has been conducted with AISI 202 stainless steel with different tool electrodes such as copper, brass and tungsten carbide. Gap voltage, discharge current and duty factor have been used as electrical excitation parameters with different process levels. Taguchi L27 orthogonal table has been assigned for conducting experiments with the consideration of interactions among the input electrical process parameters. Material removal rate, electrode wear rate and surface roughness have been selected as response parameters. From the experimental results, it has been found that the electrical conductivity of the tool electrode has the most influencing nature on the machining characteristics in EDM process. The optimal combination of the input process parameters has been obtained using Taguchi-grey .

• Cơ khí - Chế tạo máy
• Electro Discharge Machining
• Process parameters
• Electro erosion
• The EDM Process
• Taguchi grey multi responses optimization
• Experimental investigation of coated in electro discharge machining process
• Uncoated tools used in electro discharge machining process
• Machining of TI6AL4V
• The machining performance of Ti6Al4V
• Experimental investigation of various process parameters
• Various process parameters of powder mixed electro discharge machining process
• Machining of Al si alloy
• Material removal rate
• Tool wear rate
• Design of Experiments
• Response Surface Methodology
• Desirability Function Approach
• Process Modeling
• Multi Objective Optimization
• Grey Relational Analysis
• Genetic Algorithm
• Regression Model
• Taguchi Method
• Polynomial model
• Neuro fuzzy model
• Non conventional machining
• Electrical discharge machining
• Energy distribution
• Sinking electro discharge machining
• Mathematical model
• Ultrasonic vibration
• Dry EDM
• Powder additives
• EDM in water
• Surface roughness
• Hybrid model Optimization
• Artificial neural network
• Multi response optimization
• Powder mixed electrical discharge machining
• Surface micro hardness
• Pulse on time
• Pulse off time
• Electrical process parameters
• State of art in EDM process