Search
CSV
RISAn empirical study on statistical analysis and optimization of EDM process parameters for inconel 718 super alloy using D-optimal approach and genetic algorithm
Among the several non-conventional processes, electrical discharge machining (EDM) is the most widely and successfully applied for the machining of conductive parts. In this technique, the tool has no mechanical contact with the work piece and also...
Modeling and Optimization of Process Parameters Using Neural Networks and Simulated Algorithm for Electrical Discharge Machining of AISI2312 Hot Worked Steel
The present study addresses the multi-criteria modeling and optimization of Electrical Discharge Machining (EDM) for AISI2312 hot worked steel parts via optimized back propagation neural networks (OBPNN) and Simulated Annealing (SA...
Modeling and Optimization of EDM process parameters for Inconel 718 super alloy parts using regression modeling based on design of experiments approach and simulated annealing algorithm
The main objectives of this research are, therefore, to assess the effects of process parameters and to determine their optimal levels machining of Inconel 718 super alloy. Gap voltage, current, time of machining and duty ...
Modeling of EDM Process Parameters Based on Design of Experiments and Optimization Using Genetic Algorithm
electrical discharge machining (EDM) is the most widely and successfully applied process for machining of conductive parts among the several non-conventional processes. In this process, there is no tool mechanical contact between the work piece...
Optimization of EDM Process Parameters Using Statistical Analysis and Simulated Annealing Algorithm
Nowadays, electrical discharge machining (EDM) has become one of the most extensively used nontraditional material removal processes. Its unique feature of using thermal energy to machine hard-tomachine electrically conductive materials is its...