tailieunhanh - Multi-objective optimisation of high-speed electrical discharge machining process using a Taguchi fuzzy-based approach

(BQ) The paper describes the application of the fuzzy logic analysis coupled with Taguchi methods to optimise the precision and accuracy of the high-speed electrical discharge machining (EDM) process. A fuzzy logic system is used to investigate relationships between the machining precision and accuracy for determining the efficiency of each parameter design of the Taguchi dynamic experiments. | Materials & Design Materials and Design 28 (2007) 1159–1168 Multi-objective optimisation of high-speed electrical discharge machining process using a Taguchi fuzzy-based approach Yih-fong Tzeng a a,* , Fu-chen Chen b Department of Mechanical and Automation Engineering, National Kaohsiung First University of Science and Technology, No. 1 University Road, Yen-Chao, Kao-Hsiung 824, Taiwan b Department of Mechanical Engineering, Kun Shan University, No. 949 Da Wan Rd., Yung-Kang, Tainan Hsien 710, Taiwan Received 9 August 2005; accepted 19 January 2006 Available online 3 April 2006 tool steel SKD11 Abstract The paper describes the application of the fuzzy logic analysis coupled with Taguchi methods to optimise the precision and accuracy of the high-speed electrical discharge machining (EDM) process. A fuzzy logic system is used to investigate relationships between the machining precision and accuracy for determining the efficiency of each parameter design of the Taguchi dynamic experiments. From the fuzzy inference process, the optimal process conditions for the high-speed EDM process can be easily determined as A1B1C3D1E3F3G1H3. In addition, the analysis of variance (ANOVA) is also employed to identify factor B (pulse time), C (duty cycle), and D (peak value of discharge current) as the most important parameters, which account for about of the variance. The factors E (powder concentration) and H (powder size) are found to have relatively weaker impacts on the process design of the high-speed EDM. Furthermore, a confirmation experiment of the optimal process shows that the targeted multiple performance characteristics are significantly improved to achieve more desirable levels. Ó 2006 Elsevier Ltd. All rights reserved. Keywords: Electrical discharge machining (EDM); Fuzzy logic analysis; Analysis of variance (ANOVA); Machining precision and accuracy 1. Introduction Electrical discharge machining (EDM) is a thermal process with

• Cơ khí - Chế tạo máy
• Electrical discharge machining
• The EDM Process
• Fuzzy logic analysis
• Analysis of variance
• Machining precision and accuracy
• Understanding electrical discharge machining
• Various Electric Discharge Machines
• Keeping Abreast With EDM Technology
• The Machining Revolution
• A strip electrode
• The machining principle
• Surface modification
• Powder metallurgy electrodes
• Surface finish
• Electrode wear
• Inconel 718
• Response Surface Methodology
• Multi Objective Particle SwarmOptimization
• The electrical discharge machining
• The EDM processes
• Process parameters
• Stainless steel
• Optimization of machining parameters
• Green manufacturing
• Multi attribute decision making
• Fuzzy TOPSIS methods
• Silicon carbide
• Die sinking EDM
• Ceramic composite
• Artificial neural network
• Multi objective optimization
• Genetic algorithm
• Orthogonal array
• Statistical analyses
• Decision making model for green EDM
• Electro Discharge Machining
• Material Removal Rate
• Polynomial model
• Neuro fuzzy model
• Non conventional machining
• Journal of Science and Technology
• Analysis of surface layers of hot
• Analysis of surface layers of hot – forging die
• Hot forging die following die sinking
• Taguchi methods
• Ideal function
• Energy distribution
• Sinking electro discharge machining
• Mathematical model
• Ultrasonic vibration
• Dry EDM
• Powder additives
• EDM in water
• Multi response optimization
• Powder mixed electrical discharge machining
• Surface micro hardness
• Pulse on time
• Pulse off time
• Tool steel
• Surface roughness
• Examination of machining parameters
• EDM of tool steel
• Metal matrix composite
• Temperature stability
• Duty factor
• Titanium alloys
• Electrical process parameters
• State of art in EDM process
• Process parameters of wire cut
• 90CrSi tool steel
• Wire cut EDM
• Tool steel machining
• AISI P20 tool steel
• Fuzzy TOPSIS
• Sensitivity analysis
• The effect of multiple discharges
• Thermal model
• Roughness prediction
• Predictive model
• Discrimination of discharging pulses
• System identification