Corpus ID: 17797905

Predicting Surface Roughness of AISI 4140 Steel in Hard Turning Process through Artificial Neural Network, Fuzzy Logic and Regression Models

@inproceedings{Akku2011PredictingSR,
  title={Predicting Surface Roughness of AISI 4140 Steel in Hard Turning Process through Artificial Neural Network, Fuzzy Logic and Regression Models},
  author={Harun Akku},
  year={2011}
}
  • Harun Akku
  • Published 2011
  • Engineering
    • In this study, the average surface roughness values obtained when turning AISI 4140 grade tempered steel with a hardness of 51 HRC, were modeled using fuzzy logic, artificial neural networks (ANN) and multi-regression equations. Input variables consisted of cutting speed (V), feed rate (f) and depth of cut (a) while output variable was surface roughness (Ra). Fuzzy logic and ANN models were developed using Matlab Toolbox. Variance analysis was conducted using MINITAB. The predicted values of… CONTINUE READING
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    17 Citations
    Background Citations
    1
    Methods Citations
    3
    Results Citations
    1

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