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RISOptimization 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 ...
The Use of Taguchi Method with Grey Relational Analysis to optimize the EDM Process Parameters with Multiple Quality Characteristics
Multi-criteria optimization of processes parameters could be used to simultaneously achieve several conflicting goals such as increasing product quality and reducing production time. In this paper Grey Relational Analysis ...
An optimised back propagation neural networkapproach and simulated annealing algorithm towards optimisation of EDM process parameteroptimisation of EDM process parameters
The present research addresses the multi-criteria modelling and
optimisation of electrical discharge machining (EDM) process, via optimised
back propagation neural networks (OBPNN) and simulated annealing ...
Application of orthogonal array technique and particle swarmoptimization approach in surface roughness modification when face milling AISI1045 steel parts
Face milling is an important and common machining operation because of its versatility and produce various surfaces. Face milling is a machining process of removing material by the relative motion between a work piece and ...
مقایسه عملکرد الگوریتمهای فرا ابتکاری در بهینه سازی فرآیند ماشین کاری تخلیه الکتریکی
ماشین کاری به روش تخلیه الکتریکی برای براده برداری فلزات و مواد رسانای الکتریکی با سختی بالا و قطعاتی با فرم های پیچیده کاربرد دارد. این ویژگی ها سبب شده تا این روش ماشین کاری برای ساخت قالب های تزریق پلاستیک، به روشی مقرون ...
An 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 ...
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 ...
Application of Taguchi Technique and Grey Relational Analysis in Solving the Multi-objective Problem When Turning Austenitic Stainless Steel
Multi objective optimizing of machining processes is used to simultaneously achieve several goals
such as increased product quality, reduced production time and improved production efficiency. The
traditional ...
An Empirical Study on Modeling and Optimization of EDM Process Parameters for Inconel 718 Super Alloy Using D-optimal approach and Genetic Algorithm
In this study the effect of input parameters of electrical discharge machining (EDM) process on Inconel 718 super alloy, widely used in aircraft and spacecraft industries, nuclear power systems and steam generators, etc., ...
A Practical Approach towards Modeling and Optimization of EDM Process Parameters Using Simulated Annealing Algorithm
Nowadays, electrical discharge machining (EDM) has become one of the most extensively used non-traditional material removal process. Its unique feature of using thermal energy to machine hard to machine electrically ...