Simulation of the End Milling Cutter by using Artificial Neural Network |
Author(s): |
| Alok Kumar Pandeya , SAMCET BHOPAL; V. K. Titariya, SAMCET BHOPAL |
Keywords: |
| ANN; Cutting Force; Depth of Cut; End Milling Cutter; Feed Rate |
Abstract |
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The purpose of this work is to presents Artificial Neural Network (ANN) based model to predict the effects of various parameters of the process such as Spindle Speed, Feed Rate, and Depth of Cut on the Mean Cutting force. A total of 27 samples were casted with the variation of Input data out of that a set of 19 data are used to train models. Out of remaining 8 data, a set of 4 data is used for testing and rest 4 data is used for validation. The experimental results taken by base reference paper are the training data to make the artificial neural network model. The data used in the multilayer feed forward neural network models are arranged in a format of three input parameters. This study leads to the conclusion that the artificial neural network (ANN) performed well to predict the results of high performance. |
Other Details |
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Paper ID: IJSRDV5I110342 Published in: Volume : 5, Issue : 11 Publication Date: 01/02/2018 Page(s): 578-581 |
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