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...

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Main Author: Bahaa Ibraheem Kazem
Format: Article
Language:English
Published: University of Baghdad 2024-03-01
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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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