A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESS
This paper presents a neural network based surface finish Prediction model in turning operation . Orthogonal cutting tests were performed on mild steel using H.S.S cutting tool with different cutting parameters cutting speed , feed and nose radius of the cutting tool . The collected data was used t...
Main Author: | |
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Format: | Article |
Language: | English |
Published: |
University of Baghdad
2024-03-01
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Series: | Journal of Engineering |
Online Access: | https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3391 |
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author | Bahaa Ibraheem Kazem |
author_facet | Bahaa Ibraheem Kazem |
author_sort | Bahaa Ibraheem Kazem |
collection | DOAJ |
description |
This paper presents a neural network based surface finish Prediction model in turning operation .
Orthogonal cutting tests were performed on mild steel using H.S.S cutting tool with different
cutting parameters cutting speed ,
feed and nose radius of the cutting tool . The collected data was
used to train feed forward back propagation neural network. The developed model has been tested
to preclict surface finish for various cutting conditions. The model was found to be powerful &
capable of accurate surface finish prediction for the range it had been trained but the accuracy
deteriorated as the cutting conditions were changed significantly'
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first_indexed | 2024-04-24T14:07:25Z |
format | Article |
id | doaj.art-45484b41ab83428d9bdad70c329ef030 |
institution | Directory Open Access Journal |
issn | 1726-4073 2520-3339 |
language | English |
last_indexed | 2024-04-24T14:07:25Z |
publishDate | 2024-03-01 |
publisher | University of Baghdad |
record_format | Article |
series | Journal of Engineering |
spelling | doaj.art-45484b41ab83428d9bdad70c329ef0302024-04-03T09:57:12ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392024-03-0110110.31026/j.eng.2004.01.04A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESSBahaa Ibraheem Kazem This paper presents a neural network based surface finish Prediction model in turning operation . Orthogonal cutting tests were performed on mild steel using H.S.S cutting tool with different cutting parameters cutting speed , feed and nose radius of the cutting tool . The collected data was used to train feed forward back propagation neural network. The developed model has been tested to preclict surface finish for various cutting conditions. The model was found to be powerful & capable of accurate surface finish prediction for the range it had been trained but the accuracy deteriorated as the cutting conditions were changed significantly' https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3391 |
spellingShingle | Bahaa Ibraheem Kazem A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESS Journal of Engineering |
title | A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESS |
title_full | A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESS |
title_fullStr | A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESS |
title_full_unstemmed | A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESS |
title_short | A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESS |
title_sort | neural network prediction model for surfacefinish in turning process |
url | https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3391 |
work_keys_str_mv | AT bahaaibraheemkazem aneuralnetworkpredictionmodelforsurfacefinishinturningprocess AT bahaaibraheemkazem neuralnetworkpredictionmodelforsurfacefinishinturningprocess |