Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647 |
Resumo: | In automation flexible manufacturing systems, tool wear detection during the cutting process is one of the most important considerations. This study presents an intelligent system for online tool condition monitoring in drilling process. In this paper, analytical and empirical models have been used to predict the thrust and cutting forces on the lip and chisel edges of a new drill. Also an empirical model is used to estimate tool wear rate and force values on the edges of the worn drill .By using the block diagram of machine tool drives, the changes in the feed and spindle motor currents are simulated, as wear rate increases. To predict tool wear rate, fuzzy logic capabilities have been used to develop an intelligent system. The simulation results presented with MATLAB software show the effectiveness of proposed system for on-line drill wear monitoring. This is confirmed by comparing the measured and estimated values with each other in which the value of R2 was obtained 0.9367 in the regression graph. |
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Acta scientiarum. Technology (Online) |
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Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647tool condition monitoringcurrent signalmachine tool drivesthrust and cutting forcesdrill weafuzzy logicIn automation flexible manufacturing systems, tool wear detection during the cutting process is one of the most important considerations. This study presents an intelligent system for online tool condition monitoring in drilling process. In this paper, analytical and empirical models have been used to predict the thrust and cutting forces on the lip and chisel edges of a new drill. Also an empirical model is used to estimate tool wear rate and force values on the edges of the worn drill .By using the block diagram of machine tool drives, the changes in the feed and spindle motor currents are simulated, as wear rate increases. To predict tool wear rate, fuzzy logic capabilities have been used to develop an intelligent system. The simulation results presented with MATLAB software show the effectiveness of proposed system for on-line drill wear monitoring. This is confirmed by comparing the measured and estimated values with each other in which the value of R2 was obtained 0.9367 in the regression graph. Universidade Estadual De Maringá2013-05-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1564710.4025/actascitechnol.v35i4.15647Acta Scientiarum. Technology; Vol 35 No 4 (2013); 669-676Acta Scientiarum. Technology; v. 35 n. 4 (2013); 669-6761806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647/pdf_1http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647/751375141483Salimi, AydinZadshakoyan, MohammadÖzdemir, AhmetSeidi, Esmaeilinfo:eu-repo/semantics/openAccess2024-05-17T13:03:29Zoai:periodicos.uem.br/ojs:article/15647Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2024-05-17T13:03:29Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647 |
title |
Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647 |
spellingShingle |
Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647 Salimi, Aydin tool condition monitoring current signal machine tool drives thrust and cutting forces drill wea fuzzy logic |
title_short |
Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647 |
title_full |
Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647 |
title_fullStr |
Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647 |
title_full_unstemmed |
Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647 |
title_sort |
Designing an intelligent system to predict drill wear by using of motor current and fuzzy logic method - doi: 10.4025/actascitechnol.v35i4.15647 |
author |
Salimi, Aydin |
author_facet |
Salimi, Aydin Zadshakoyan, Mohammad Özdemir, Ahmet Seidi, Esmaeil |
author_role |
author |
author2 |
Zadshakoyan, Mohammad Özdemir, Ahmet Seidi, Esmaeil |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Salimi, Aydin Zadshakoyan, Mohammad Özdemir, Ahmet Seidi, Esmaeil |
dc.subject.por.fl_str_mv |
tool condition monitoring current signal machine tool drives thrust and cutting forces drill wea fuzzy logic |
topic |
tool condition monitoring current signal machine tool drives thrust and cutting forces drill wea fuzzy logic |
description |
In automation flexible manufacturing systems, tool wear detection during the cutting process is one of the most important considerations. This study presents an intelligent system for online tool condition monitoring in drilling process. In this paper, analytical and empirical models have been used to predict the thrust and cutting forces on the lip and chisel edges of a new drill. Also an empirical model is used to estimate tool wear rate and force values on the edges of the worn drill .By using the block diagram of machine tool drives, the changes in the feed and spindle motor currents are simulated, as wear rate increases. To predict tool wear rate, fuzzy logic capabilities have been used to develop an intelligent system. The simulation results presented with MATLAB software show the effectiveness of proposed system for on-line drill wear monitoring. This is confirmed by comparing the measured and estimated values with each other in which the value of R2 was obtained 0.9367 in the regression graph. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-05-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647 10.4025/actascitechnol.v35i4.15647 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647 |
identifier_str_mv |
10.4025/actascitechnol.v35i4.15647 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647/pdf http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647/pdf_1 http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/15647/751375141483 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/vnd.openxmlformats-officedocument.wordprocessingml.document |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 35 No 4 (2013); 669-676 Acta Scientiarum. Technology; v. 35 n. 4 (2013); 669-676 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315334888423424 |