Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model
The grinding process is situated at the end of the machining chain, where geometric and dimensional characteristics and high-quality surface are required. The constant use of cutting tool (grinding wheel) causes loss of its sharpness and clogging of the pores among the abrasive grains. In this conte...
Gespeichert in:
| Veröffentlicht in: | International journal of advanced manufacturing technology 2018-04, Vol.96 (1-4), p.67-79 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 79 |
|---|---|
| container_issue | 1-4 |
| container_start_page | 67 |
| container_title | International journal of advanced manufacturing technology |
| container_volume | 96 |
| creator | Alexandre, Felipe Aparecido Lopes, Wenderson Nascimento Lofrano Dotto, Fábio R. Ferreira, Fábio Isaac Aguiar, Paulo Roberto Bianchi, Eduardo Carlos Lopes, José Cláudio |
| description | The grinding process is situated at the end of the machining chain, where geometric and dimensional characteristics and high-quality surface are required. The constant use of cutting tool (grinding wheel) causes loss of its sharpness and clogging of the pores among the abrasive grains. In this context, the dressing operation is necessary to correct these and other problems related to its use in the process. Dressing is a reconditioning operation of the grinding wheel surface aiming at restoring the original condition and its efficiency. The objective of this study is to evaluate the surface regularity and dressing condition of the grinding wheel in the surface grinding process by means of digital signal processing of acoustic emission and fuzzy models. Tests were conducted by using synthetic diamond dressers in a surface grinding machine equipped with an aluminum oxide grinding wheel. The acoustic emission sensor was attached to the dresser holder. A frequency domain analysis was performed to choose the bands that best characterized the process. A frequency band of 25–40 kHz was used to calculate the ratio of power (ROP) statistic, and the mean and standard deviation values of the ROP were inputted to the fuzzy system. The results indicate that the fuzzy model was highly effective in diagnosing the surface conditions of the grinding wheel. |
| doi_str_mv | 10.1007/s00170-018-1582-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2490841199</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2490841199</sourcerecordid><originalsourceid>FETCH-LOGICAL-c415t-608c5838f827c74d9e6306a8b90d749029804ef39be008bce02f7e61c377dd353</originalsourceid><addsrcrecordid>eNp9kV1LwzAUhoMoOKc_wLuA19GTpM3H5RjzAwZeOK9D16Szo21msqLbrzelglfuKiF5nvfAeRG6pXBPAeRDBKASCFBFaK4YgTM0oRnnhAPNz9EEmFCES6Eu0VWM20QLKtQEva28b3DpO1vva9_h1nf13oe622Bf4aLp27rrW-y_a-vwJr3b4evrw7kG93G4zxa46Cyu-uPxkHTrmmt0URVNdDe_5xS9Py5W82eyfH16mc-WpMxovicCVJkrrirFZCkzq53gIAq11mBlpoFpBZmruF47ALUuHbBKOkFLLqW1POdTdDfm7oL_7F3cm63vQ5dGGpZ8lVGq9UmKCUZzKTQ7SQHVKsuZ5omiI1UGH2NwldmFui3CwVAwQw9m7MGkHszQg4HksNGJu2GtLvwl_y_9AHUkiBw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2262157692</pqid></control><display><type>article</type><title>Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model</title><source>SpringerLink Journals</source><creator>Alexandre, Felipe Aparecido ; Lopes, Wenderson Nascimento ; Lofrano Dotto, Fábio R. ; Ferreira, Fábio Isaac ; Aguiar, Paulo Roberto ; Bianchi, Eduardo Carlos ; Lopes, José Cláudio</creator><creatorcontrib>Alexandre, Felipe Aparecido ; Lopes, Wenderson Nascimento ; Lofrano Dotto, Fábio R. ; Ferreira, Fábio Isaac ; Aguiar, Paulo Roberto ; Bianchi, Eduardo Carlos ; Lopes, José Cláudio</creatorcontrib><description>The grinding process is situated at the end of the machining chain, where geometric and dimensional characteristics and high-quality surface are required. The constant use of cutting tool (grinding wheel) causes loss of its sharpness and clogging of the pores among the abrasive grains. In this context, the dressing operation is necessary to correct these and other problems related to its use in the process. Dressing is a reconditioning operation of the grinding wheel surface aiming at restoring the original condition and its efficiency. The objective of this study is to evaluate the surface regularity and dressing condition of the grinding wheel in the surface grinding process by means of digital signal processing of acoustic emission and fuzzy models. Tests were conducted by using synthetic diamond dressers in a surface grinding machine equipped with an aluminum oxide grinding wheel. The acoustic emission sensor was attached to the dresser holder. A frequency domain analysis was performed to choose the bands that best characterized the process. A frequency band of 25–40 kHz was used to calculate the ratio of power (ROP) statistic, and the mean and standard deviation values of the ROP were inputted to the fuzzy system. The results indicate that the fuzzy model was highly effective in diagnosing the surface conditions of the grinding wheel.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-018-1582-0</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Acoustic emission testing ; Aluminum ; Aluminum oxide ; CAE) and Design ; Ceramics industry ; Computer-Aided Engineering (CAD ; Condition monitoring ; Cutting tools ; Diamond machining ; Diamonds ; Digital signal processing ; Emission analysis ; Engineering ; Frequencies ; Frequency analysis ; Frequency domain analysis ; Furniture ; Fuzzy systems ; Grinding machines ; Grinding wheels ; Industrial and Production Engineering ; Mechanical Engineering ; Media Management ; Original Article ; Process planning ; Reconditioning ; Sharpness ; Surface grinding ; Surface grinding machines ; Wheel dressing</subject><ispartof>International journal of advanced manufacturing technology, 2018-04, Vol.96 (1-4), p.67-79</ispartof><rights>Springer-Verlag London Ltd., part of Springer Nature 2018</rights><rights>Copyright Springer Science & Business Media 2018</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2018). All Rights Reserved.</rights><rights>Springer-Verlag London Ltd., part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-608c5838f827c74d9e6306a8b90d749029804ef39be008bce02f7e61c377dd353</citedby><cites>FETCH-LOGICAL-c415t-608c5838f827c74d9e6306a8b90d749029804ef39be008bce02f7e61c377dd353</cites><orcidid>0000-0002-6768-1109</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-018-1582-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-018-1582-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Alexandre, Felipe Aparecido</creatorcontrib><creatorcontrib>Lopes, Wenderson Nascimento</creatorcontrib><creatorcontrib>Lofrano Dotto, Fábio R.</creatorcontrib><creatorcontrib>Ferreira, Fábio Isaac</creatorcontrib><creatorcontrib>Aguiar, Paulo Roberto</creatorcontrib><creatorcontrib>Bianchi, Eduardo Carlos</creatorcontrib><creatorcontrib>Lopes, José Cláudio</creatorcontrib><title>Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>The grinding process is situated at the end of the machining chain, where geometric and dimensional characteristics and high-quality surface are required. The constant use of cutting tool (grinding wheel) causes loss of its sharpness and clogging of the pores among the abrasive grains. In this context, the dressing operation is necessary to correct these and other problems related to its use in the process. Dressing is a reconditioning operation of the grinding wheel surface aiming at restoring the original condition and its efficiency. The objective of this study is to evaluate the surface regularity and dressing condition of the grinding wheel in the surface grinding process by means of digital signal processing of acoustic emission and fuzzy models. Tests were conducted by using synthetic diamond dressers in a surface grinding machine equipped with an aluminum oxide grinding wheel. The acoustic emission sensor was attached to the dresser holder. A frequency domain analysis was performed to choose the bands that best characterized the process. A frequency band of 25–40 kHz was used to calculate the ratio of power (ROP) statistic, and the mean and standard deviation values of the ROP were inputted to the fuzzy system. The results indicate that the fuzzy model was highly effective in diagnosing the surface conditions of the grinding wheel.</description><subject>Acoustic emission testing</subject><subject>Aluminum</subject><subject>Aluminum oxide</subject><subject>CAE) and Design</subject><subject>Ceramics industry</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Condition monitoring</subject><subject>Cutting tools</subject><subject>Diamond machining</subject><subject>Diamonds</subject><subject>Digital signal processing</subject><subject>Emission analysis</subject><subject>Engineering</subject><subject>Frequencies</subject><subject>Frequency analysis</subject><subject>Frequency domain analysis</subject><subject>Furniture</subject><subject>Fuzzy systems</subject><subject>Grinding machines</subject><subject>Grinding wheels</subject><subject>Industrial and Production Engineering</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Original Article</subject><subject>Process planning</subject><subject>Reconditioning</subject><subject>Sharpness</subject><subject>Surface grinding</subject><subject>Surface grinding machines</subject><subject>Wheel dressing</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kV1LwzAUhoMoOKc_wLuA19GTpM3H5RjzAwZeOK9D16Szo21msqLbrzelglfuKiF5nvfAeRG6pXBPAeRDBKASCFBFaK4YgTM0oRnnhAPNz9EEmFCES6Eu0VWM20QLKtQEva28b3DpO1vva9_h1nf13oe622Bf4aLp27rrW-y_a-vwJr3b4evrw7kG93G4zxa46Cyu-uPxkHTrmmt0URVNdDe_5xS9Py5W82eyfH16mc-WpMxovicCVJkrrirFZCkzq53gIAq11mBlpoFpBZmruF47ALUuHbBKOkFLLqW1POdTdDfm7oL_7F3cm63vQ5dGGpZ8lVGq9UmKCUZzKTQ7SQHVKsuZ5omiI1UGH2NwldmFui3CwVAwQw9m7MGkHszQg4HksNGJu2GtLvwl_y_9AHUkiBw</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Alexandre, Felipe Aparecido</creator><creator>Lopes, Wenderson Nascimento</creator><creator>Lofrano Dotto, Fábio R.</creator><creator>Ferreira, Fábio Isaac</creator><creator>Aguiar, Paulo Roberto</creator><creator>Bianchi, Eduardo Carlos</creator><creator>Lopes, José Cláudio</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-6768-1109</orcidid></search><sort><creationdate>20180401</creationdate><title>Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model</title><author>Alexandre, Felipe Aparecido ; Lopes, Wenderson Nascimento ; Lofrano Dotto, Fábio R. ; Ferreira, Fábio Isaac ; Aguiar, Paulo Roberto ; Bianchi, Eduardo Carlos ; Lopes, José Cláudio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-608c5838f827c74d9e6306a8b90d749029804ef39be008bce02f7e61c377dd353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acoustic emission testing</topic><topic>Aluminum</topic><topic>Aluminum oxide</topic><topic>CAE) and Design</topic><topic>Ceramics industry</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Condition monitoring</topic><topic>Cutting tools</topic><topic>Diamond machining</topic><topic>Diamonds</topic><topic>Digital signal processing</topic><topic>Emission analysis</topic><topic>Engineering</topic><topic>Frequencies</topic><topic>Frequency analysis</topic><topic>Frequency domain analysis</topic><topic>Furniture</topic><topic>Fuzzy systems</topic><topic>Grinding machines</topic><topic>Grinding wheels</topic><topic>Industrial and Production Engineering</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Original Article</topic><topic>Process planning</topic><topic>Reconditioning</topic><topic>Sharpness</topic><topic>Surface grinding</topic><topic>Surface grinding machines</topic><topic>Wheel dressing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alexandre, Felipe Aparecido</creatorcontrib><creatorcontrib>Lopes, Wenderson Nascimento</creatorcontrib><creatorcontrib>Lofrano Dotto, Fábio R.</creatorcontrib><creatorcontrib>Ferreira, Fábio Isaac</creatorcontrib><creatorcontrib>Aguiar, Paulo Roberto</creatorcontrib><creatorcontrib>Bianchi, Eduardo Carlos</creatorcontrib><creatorcontrib>Lopes, José Cláudio</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alexandre, Felipe Aparecido</au><au>Lopes, Wenderson Nascimento</au><au>Lofrano Dotto, Fábio R.</au><au>Ferreira, Fábio Isaac</au><au>Aguiar, Paulo Roberto</au><au>Bianchi, Eduardo Carlos</au><au>Lopes, José Cláudio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2018-04-01</date><risdate>2018</risdate><volume>96</volume><issue>1-4</issue><spage>67</spage><epage>79</epage><pages>67-79</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>The grinding process is situated at the end of the machining chain, where geometric and dimensional characteristics and high-quality surface are required. The constant use of cutting tool (grinding wheel) causes loss of its sharpness and clogging of the pores among the abrasive grains. In this context, the dressing operation is necessary to correct these and other problems related to its use in the process. Dressing is a reconditioning operation of the grinding wheel surface aiming at restoring the original condition and its efficiency. The objective of this study is to evaluate the surface regularity and dressing condition of the grinding wheel in the surface grinding process by means of digital signal processing of acoustic emission and fuzzy models. Tests were conducted by using synthetic diamond dressers in a surface grinding machine equipped with an aluminum oxide grinding wheel. The acoustic emission sensor was attached to the dresser holder. A frequency domain analysis was performed to choose the bands that best characterized the process. A frequency band of 25–40 kHz was used to calculate the ratio of power (ROP) statistic, and the mean and standard deviation values of the ROP were inputted to the fuzzy system. The results indicate that the fuzzy model was highly effective in diagnosing the surface conditions of the grinding wheel.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-018-1582-0</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6768-1109</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0268-3768 |
| ispartof | International journal of advanced manufacturing technology, 2018-04, Vol.96 (1-4), p.67-79 |
| issn | 0268-3768 1433-3015 |
| language | eng |
| recordid | cdi_proquest_journals_2490841199 |
| source | SpringerLink Journals |
| subjects | Acoustic emission testing Aluminum Aluminum oxide CAE) and Design Ceramics industry Computer-Aided Engineering (CAD Condition monitoring Cutting tools Diamond machining Diamonds Digital signal processing Emission analysis Engineering Frequencies Frequency analysis Frequency domain analysis Furniture Fuzzy systems Grinding machines Grinding wheels Industrial and Production Engineering Mechanical Engineering Media Management Original Article Process planning Reconditioning Sharpness Surface grinding Surface grinding machines Wheel dressing |
| title | Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T10%3A21%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tool%20condition%20monitoring%20of%20aluminum%20oxide%20grinding%20wheel%20using%20AE%20and%20fuzzy%20model&rft.jtitle=International%20journal%20of%20advanced%20manufacturing%20technology&rft.au=Alexandre,%20Felipe%20Aparecido&rft.date=2018-04-01&rft.volume=96&rft.issue=1-4&rft.spage=67&rft.epage=79&rft.pages=67-79&rft.issn=0268-3768&rft.eissn=1433-3015&rft_id=info:doi/10.1007/s00170-018-1582-0&rft_dat=%3Cproquest_cross%3E2490841199%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2262157692&rft_id=info:pmid/&rfr_iscdi=true |