tailieunhanh - Multi-attribute decision making green electrical discharge machining

(BQ) This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing. | Expert Systems with Applications 38 (2011) 8370–8374 Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: Multi-attribute decision making for green electrical discharge machining . Sivapirakasam a,⇑, Jose Mathew a, M. Surianarayanan b a Department of Mechanical Engineering, National Institute of Technology, Tiruchirappalli, India b CISRA, Central Leather Research Institute, Chennai, India a r t i c l e i n f o Keywords: EDM TOPSIS Green manufacturing Multi-attribute decision making A high carbon high chromium tool steel a b s t r a c t This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing. Electrical Discharge Machining (EDM), a commonly used non-traditional manufacturing process was considered in this study. A decision making model for the selection of process parameters in order to achieve green EDM was developed. An experimental investigation was carried out based on Taguchi L9 orthogonal array to analyze the sensitivity of green manufacturing attributes to the variations in process parameters such as peak current, pulse duration, dielectric level and flushing pressure. Weighing factors for the output responses were determined using triangular fuzzy numbers and the most desirable factor level combinations were selected based on TOPSIS technique. The model developed in this study can be used as a systematic framework for parameter optimization in environmentally conscious manufacturing processes. Ó 2011 Elsevier Ltd. All rights reserved. 1. Introduction Manufacturing processes generate large amounts of various solid, liquid, and gaseous wastes. Apart from the generation of waste, the manufacturing process is considered to be an energy intensive activity, which also indirectly affects the environment. Implementation of stringent government regulations and growing public awareness made

• Cơ khí - Chế tạo máy
• Electrical discharge machining
• The EDM Process
• Green manufacturing
• Multi attribute decision making
• Fuzzy TOPSIS methods
• 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
• Fuzzy logic analysis
• Analysis of variance
• Machining precision and accuracy
• 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