Comparison of Soft Computing Techniques for Modelling of the EDM Performance Parameters | Zendy

Mehmet Veysel Çakır | Zendy; Ömer Eyerci̇oğlu | Zendy; Kürşad GÖV | Zendy; Mehmet Şahin | Zendy; Süleyman Çakır | Zendy

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Comparison of Soft Computing Techniques for Modelling of the EDM Performance Parameters

Author(s) -

Mehmet Veysel Çakır,

Ömer Eyerci̇oğlu,

Kürşad GÖV,

Mehmet Şahin,

Süleyman Çakır

Publication year - 2013

Publication title -

advances in mechanical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 40

eISSN - 1687-8140

pISSN - 1687-8132

DOI - 10.1155/2013/392531

Subject(s) - adaptive neuro fuzzy inference system , soft computing , artificial neural network , machining , selection (genetic algorithm) , electrical discharge machining , computer science , process (computing) , inference system , performance prediction , task (project management) , genetic algorithm , machine learning , fuzzy logic , artificial intelligence , engineering , fuzzy control system , simulation , mechanical engineering , systems engineering , operating system

Selection of appropriate operating conditions is an important attribute to pay attention for in electrical discharge machining (EDM) of steel parts. The achievement of EDM process is affected by many input parameters; therefore, the computational relations between the output responses and controllable input parameters must be known. However, the proper selection of these parameters is a complex task and it is generally made with the help of sophisticated numerical models. This study investigates the capacity of Adaptive Nero-Fuzzy Inference System (ANFIS), genetic expression programming (GEP) and artificial neural networks (ANN) in the prediction of EDM performance parameters. The datasets used in modelling study were taken from experimental study. According to the results of estimating the parameters of all models in the comparison in terms of statistical performance is sufficient, but observed that ANFIS model is slightly better than the other models

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