Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations
To avoid damage to work and/or machine, real-time tool condition monitoring is necessary in automatic and sustainable manufacturing operations. In particular, metal machining with NC machine tools can benefit handsomely from the identification of dull tools in real-time so that they can be replaced....
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | conferenceObject |
| منشور في: |
2011
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/7151 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007%2F978-3-642-20183-7_17 |
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| _version_ | 1864513481691103232 |
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| author | Ammouri, A.H. |
| author2 | Hamade, R.F. |
| author2_role | author |
| author_facet | Ammouri, A.H. Hamade, R.F. |
| author_role | author |
| dc.creator.none.fl_str_mv | Ammouri, A.H. Hamade, R.F. |
| dc.date.none.fl_str_mv | 2011 2018-02-27T09:58:28Z 2018-02-27T09:58:28Z 2018-02-27 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/7151 Ammouri, A. H., & Hamade, R. F. (2011). Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations. In Advances in Sustainable Manufacturing (pp. 115-120). Springer, Berlin, Heidelberg. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007%2F978-3-642-20183-7_17 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | To avoid damage to work and/or machine, real-time tool condition monitoring is necessary in automatic and sustainable manufacturing operations. In particular, metal machining with NC machine tools can benefit handsomely from the identification of dull tools in real-time so that they can be replaced. This requirement is especially true in dry (sustainable) drilling operations where heat buildup represents a major challenge. In this work, quantitative maps of indirect tool-wear of chisel drills undergoing dry machining are charted based only on transducers reporting electrical current measurements from machine (spindle and feed drives) motors. Associated with the maps are qualitative descriptions of the various modes of tool-wear afflicting the drill tools. Based on these tool-wear maps, a novel wear criterion is developed that rely on the % increase in motor (spindle and feed drive motors) RMS current values and is dubbed the Current Rise Index (CRI). For verification, this index is found to positively track the corresponding increase in cutting forces. Utilizing this index, an implementation example is presented in this paper by which a real-time tool monitoring of chisel drills is achieved by inputting the CRI along with the cutting parameters to an Artificial Neural Network (ANN) which yielded good tool condition predictions. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_22f7a4d1b77a74d5b7b0aa7f4db0f267 |
| identifier_str_mv | Ammouri, A. H., & Hamade, R. F. (2011). Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations. In Advances in Sustainable Manufacturing (pp. 115-120). Springer, Berlin, Heidelberg. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/7151 |
| publishDate | 2011 |
| publisher.none.fl_str_mv | Springer |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operationsAmmouri, A.H.Hamade, R.F.To avoid damage to work and/or machine, real-time tool condition monitoring is necessary in automatic and sustainable manufacturing operations. In particular, metal machining with NC machine tools can benefit handsomely from the identification of dull tools in real-time so that they can be replaced. This requirement is especially true in dry (sustainable) drilling operations where heat buildup represents a major challenge. In this work, quantitative maps of indirect tool-wear of chisel drills undergoing dry machining are charted based only on transducers reporting electrical current measurements from machine (spindle and feed drives) motors. Associated with the maps are qualitative descriptions of the various modes of tool-wear afflicting the drill tools. Based on these tool-wear maps, a novel wear criterion is developed that rely on the % increase in motor (spindle and feed drive motors) RMS current values and is dubbed the Current Rise Index (CRI). For verification, this index is found to positively track the corresponding increase in cutting forces. Utilizing this index, an implementation example is presented in this paper by which a real-time tool monitoring of chisel drills is achieved by inputting the CRI along with the cutting parameters to an Artificial Neural Network (ANN) which yielded good tool condition predictions.N/ASpringer2018-02-27T09:58:28Z2018-02-27T09:58:28Z20112018-02-27Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/7151Ammouri, A. H., & Hamade, R. F. (2011). Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations. In Advances in Sustainable Manufacturing (pp. 115-120). Springer, Berlin, Heidelberg.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://link.springer.com/chapter/10.1007%2F978-3-642-20183-7_17eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/71512021-03-19T10:03:30Z |
| spellingShingle | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations Ammouri, A.H. |
| status_str | publishedVersion |
| title | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations |
| title_full | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations |
| title_fullStr | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations |
| title_full_unstemmed | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations |
| title_short | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations |
| title_sort | Indirect tool-wear maps for tool condition monitoring in dry metal drilling operations |
| url | http://hdl.handle.net/10725/7151 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007%2F978-3-642-20183-7_17 |