tailieunhanh - Statistical modeling and optimization of process parameters in electro-discharge machining of cobalt-bonded tungsten carbide composite (WC/6%Co)

(BQ) In this paper, attempts have been made to model and optimize process parameters in Electro-Discharge Machining (EDM) of tungsten carbide-cobalt composite (Iso grade: K10) using cylindrical copper tool electrodes in planing machining mode based on statistical techniques. | Available online at Procedia CIRP 6 (2013) 463 – 468 toi ưu hoa dong thoi 3 output The Seventeenth CIRP Conference on Electro Physical and Chemical Machining (ISEM) Statistical modeling and optimization of process parameters in electro-discharge machining of cobalt-bonded tungsten carbide composite (WC/6%Co) S. Assarzadeh*, M. Ghoreishi Department of Mechanical Engineering, K. N. Toosi University of Technology, P. O. Box: 19395-1999, Tehran, Iran. * Corresponding author. E-mail address: saeed_assarzadeh@ Abstract In this paper, attempts have been made to model and optimize process parameters in Electro-Discharge Machining (EDM) of tungsten carbide-cobalt composite (Iso grade: K10) using cylindrical copper tool electrodes in planing machining mode based on statistical techniques. Four independent input parameters, viz., discharge current (A: Amp), pulse-on time (B: µs), duty cycle (C: %), and gap voltage (D: Volt) were selected to assess the EDM process performance in terms of material removal rate (MRR: mm3/min), tool wear rate (TWR: mm3/min), and average surface roughness (Ra: µm). Response surface methodology (RSM), employing a rotatable central composite design scheme, has been used to plan and analyze the experiments. For each process response, a suitable second order regression equation was obtained applying analysis of variance (ANOVA) and student t-test procedure to check modeling goodness of fit and select proper forms of influentially significant process variables (main, two-way interaction, and pure quadratic terms) within 90% of confidence interval (p-value ≤ ). It has been mainly revealed that all the responses are affected by the rate and extent of discharge energy but in a controversial manner. The MRR increases by selecting both higher discharge current and duty cycle which means providing greater amounts of discharge energy inside gap region. The TWR can be diminished applying longer pulse on-times with lower .

• Cơ khí - Chế tạo máy
• Electro Discharge Machining
• Design of Experiments
• Response Surface Methodology
• Desirability Function Approach
• Process Modeling
• Multi Objective 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
• Grey Relational Analysis
• Genetic Algorithm
• Regression Model
• Taguchi Method
• The EDM process
• Polynomial model
• Neuro fuzzy model
• Non conventional machining
• Process parameters
• Electro erosion
• Taguchi grey multi responses optimization
• 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