Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling
This paper deals with simple neural network-based diagnostic system, applied to tool wear prediction in MDF milling. Ten tools were used for the test, and each one was consequently worn in the process of MDF milling. During the wearing process, the key process parameters were measured, such as cutti...
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University of Zagreb, Faculty of Forestry and Wood Technology
2011
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oai:doaj.org-article:8cb2d55c1c294407bc5c0dc31c6c9ca72021-12-02T02:18:44ZApplication of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling0012-67721847-1153https://doaj.org/article/8cb2d55c1c294407bc5c0dc31c6c9ca72011-03-01T00:00:00Zhttp://hrcak.srce.hr/file/98496https://doaj.org/toc/0012-6772https://doaj.org/toc/1847-1153This paper deals with simple neural network-based diagnostic system, applied to tool wear prediction in MDF milling. Ten tools were used for the test, and each one was consequently worn in the process of MDF milling. During the wearing process, the key process parameters were measured, such as cutting and thrust forces, temperature and power consumption. The neural network-based system was used for tool wear prediction of all the tools except the fi rst one, based on data collected during the previous attempts. The test has shown that the proposed system has good prediction accuracy and that it could be a useful tool in the optimization of the woodworking process.Marcin ZbiećUniversity of Zagreb, Faculty of Forestry and Wood Technologyarticletool wearwood machining monitoringtool condition diagnostic systemForestrySD1-669.5ENDrvna Industrija, Vol 62, Iss 1, Pp 43-54 (2011) |
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topic |
tool wear wood machining monitoring tool condition diagnostic system Forestry SD1-669.5 |
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tool wear wood machining monitoring tool condition diagnostic system Forestry SD1-669.5 Marcin Zbieć Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling |
description |
This paper deals with simple neural network-based diagnostic system, applied to tool wear prediction in MDF milling. Ten tools were used for the test, and each one was consequently worn in the process of MDF milling. During the wearing process, the key process parameters were measured, such as cutting and thrust forces, temperature and power consumption. The neural network-based system was used for tool wear prediction of all the tools except the fi rst one, based on data collected during the previous attempts. The test has shown that the proposed system has good prediction accuracy and that it could be a useful tool in the optimization of the woodworking process. |
format |
article |
author |
Marcin Zbieć |
author_facet |
Marcin Zbieć |
author_sort |
Marcin Zbieć |
title |
Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling |
title_short |
Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling |
title_full |
Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling |
title_fullStr |
Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling |
title_full_unstemmed |
Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling |
title_sort |
application of neural network in simple tool wear monitoring and indentification system in mdf milling |
publisher |
University of Zagreb, Faculty of Forestry and Wood Technology |
publishDate |
2011 |
url |
https://doaj.org/article/8cb2d55c1c294407bc5c0dc31c6c9ca7 |
work_keys_str_mv |
AT marcinzbiec applicationofneuralnetworkinsimpletoolwearmonitoringandindentificationsysteminmdfmilling |
_version_ |
1718402539622236160 |