Monitoring online cutting tool wear using low-cost technique and user-friendly GUI
► Strain gauges are low cost sensor for online tool wear monitoring. ► We develop a correlation between coefficients of I-Kaz™ 2D and flank wear width. ► Real time tool wear monitoring using a simple developed GUI. ► The system able to predict amount of flank wear width using cutting force signals....
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| Veröffentlicht in: | Wear 2011-07, Vol.271 (9), p.2619-2624 |
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| creator | Ghani, J.A. Rizal, M. Nuawi, M.Z. Ghazali, M.J. Haron, C.H.C. |
| description | ► Strain gauges are low cost sensor for online tool wear monitoring. ► We develop a correlation between coefficients of I-Kaz™ 2D and flank wear width. ► Real time tool wear monitoring using a simple developed GUI. ► The system able to predict amount of flank wear width using cutting force signals.
Cutting tool wear is known to affect tool life, surface quality and production time. Because of this an online tool wear measurement and monitoring system has been developed, using a low-cost sensor. The system is able to detect and analyze signals relating to the deflection of the tool holder from the cutting force, and the corresponding estimation of wear is displayed on the computer screen. New statistical analysis is used to identify and characterise the changes in signals from the sensors. A two-channel strain gauge is mounted at the tool holder to measure the deflection in both tangential direction and feed direction. The signal is transmitted to the signal conditioning device, then to data acquisition, and finally to the computer system. MATLAB software is used as the platform software to develop a user-friendly graphical user interface (GUI) for online monitoring purposes. Results show that this developed online monitoring system, using the strain gauge signal, is an effective method of detecting the progression of flank wear width during machining. This is an efficient and low-cost method which can be used in the real machining industry to predict the level of wear in the cutting tool. |
| doi_str_mv | 10.1016/j.wear.2011.01.038 |
| format | Article |
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Cutting tool wear is known to affect tool life, surface quality and production time. Because of this an online tool wear measurement and monitoring system has been developed, using a low-cost sensor. The system is able to detect and analyze signals relating to the deflection of the tool holder from the cutting force, and the corresponding estimation of wear is displayed on the computer screen. New statistical analysis is used to identify and characterise the changes in signals from the sensors. A two-channel strain gauge is mounted at the tool holder to measure the deflection in both tangential direction and feed direction. The signal is transmitted to the signal conditioning device, then to data acquisition, and finally to the computer system. MATLAB software is used as the platform software to develop a user-friendly graphical user interface (GUI) for online monitoring purposes. Results show that this developed online monitoring system, using the strain gauge signal, is an effective method of detecting the progression of flank wear width during machining. This is an efficient and low-cost method which can be used in the real machining industry to predict the level of wear in the cutting tool.</description><identifier>ISSN: 0043-1648</identifier><identifier>EISSN: 1873-2577</identifier><identifier>DOI: 10.1016/j.wear.2011.01.038</identifier><identifier>CODEN: WEARAH</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Computer programs ; Cutting tools ; Deflection ; Exact sciences and technology ; Flank wear ; Friction, wear, lubrication ; I-Kaz™ method ; Low-cost monitoring ; Machine components ; Matlab ; Mechanical engineering. Machine design ; Monitoring ; On-line systems ; Online ; Strain gauge ; Wear</subject><ispartof>Wear, 2011-07, Vol.271 (9), p.2619-2624</ispartof><rights>2011 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-5418ce6d31d24525d62c86ee37775e68c9180dabcaa58393210e99534929c4ef3</citedby><cites>FETCH-LOGICAL-c428t-5418ce6d31d24525d62c86ee37775e68c9180dabcaa58393210e99534929c4ef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.wear.2011.01.038$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>310,311,315,781,785,790,791,3551,23935,23936,25145,27929,27930,46000</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24481645$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Ghani, J.A.</creatorcontrib><creatorcontrib>Rizal, M.</creatorcontrib><creatorcontrib>Nuawi, M.Z.</creatorcontrib><creatorcontrib>Ghazali, M.J.</creatorcontrib><creatorcontrib>Haron, C.H.C.</creatorcontrib><title>Monitoring online cutting tool wear using low-cost technique and user-friendly GUI</title><title>Wear</title><description>► Strain gauges are low cost sensor for online tool wear monitoring. ► We develop a correlation between coefficients of I-Kaz™ 2D and flank wear width. ► Real time tool wear monitoring using a simple developed GUI. ► The system able to predict amount of flank wear width using cutting force signals.
Cutting tool wear is known to affect tool life, surface quality and production time. Because of this an online tool wear measurement and monitoring system has been developed, using a low-cost sensor. The system is able to detect and analyze signals relating to the deflection of the tool holder from the cutting force, and the corresponding estimation of wear is displayed on the computer screen. New statistical analysis is used to identify and characterise the changes in signals from the sensors. A two-channel strain gauge is mounted at the tool holder to measure the deflection in both tangential direction and feed direction. The signal is transmitted to the signal conditioning device, then to data acquisition, and finally to the computer system. MATLAB software is used as the platform software to develop a user-friendly graphical user interface (GUI) for online monitoring purposes. Results show that this developed online monitoring system, using the strain gauge signal, is an effective method of detecting the progression of flank wear width during machining. This is an efficient and low-cost method which can be used in the real machining industry to predict the level of wear in the cutting tool.</description><subject>Applied sciences</subject><subject>Computer programs</subject><subject>Cutting tools</subject><subject>Deflection</subject><subject>Exact sciences and technology</subject><subject>Flank wear</subject><subject>Friction, wear, lubrication</subject><subject>I-Kaz™ method</subject><subject>Low-cost monitoring</subject><subject>Machine components</subject><subject>Matlab</subject><subject>Mechanical engineering. Machine design</subject><subject>Monitoring</subject><subject>On-line systems</subject><subject>Online</subject><subject>Strain gauge</subject><subject>Wear</subject><issn>0043-1648</issn><issn>1873-2577</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9UE1LAzEQDaJgrf4BT3sRT1vzuZuAFxGtgiKIPYeYndWUbVKT1NJ_b5aKR2FgeMx7b2YeQucEzwgmzdVytgUTZxQTMsOlmDxAEyJbVlPRtodogjFnNWm4PEYnKS0xxkSJZoJen4N3OUTnP6rgB-ehspucR5hDGKrRttqkEQ9hW9uQcpXBfnr3tYHK-K4MIdZ9dOC7YVfNF4-n6Kg3Q4Kz3z5Fi_u7t9uH-ull_nh781RbTmWuBSfSQtMx0lEuqOgaamUDwNq2FdBIq4jEnXm3xgjJFKMEg1KCcUWV5dCzKbrc-65jKMekrFcuWRgG4yFsklZEKUIEV4VJ90wbQ0oRer2ObmXiThOsx_z0Uo-P6jE_jUsxWUQXv_YmWTP00Xjr0p-Sci5LnqLwrvc8KL9-O4g62RKGhc5FsFl3wf235gfOPYX9</recordid><startdate>20110729</startdate><enddate>20110729</enddate><creator>Ghani, J.A.</creator><creator>Rizal, M.</creator><creator>Nuawi, M.Z.</creator><creator>Ghazali, M.J.</creator><creator>Haron, C.H.C.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20110729</creationdate><title>Monitoring online cutting tool wear using low-cost technique and user-friendly GUI</title><author>Ghani, J.A. ; Rizal, M. ; Nuawi, M.Z. ; Ghazali, M.J. ; Haron, C.H.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-5418ce6d31d24525d62c86ee37775e68c9180dabcaa58393210e99534929c4ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Computer programs</topic><topic>Cutting tools</topic><topic>Deflection</topic><topic>Exact sciences and technology</topic><topic>Flank wear</topic><topic>Friction, wear, lubrication</topic><topic>I-Kaz™ method</topic><topic>Low-cost monitoring</topic><topic>Machine components</topic><topic>Matlab</topic><topic>Mechanical engineering. Machine design</topic><topic>Monitoring</topic><topic>On-line systems</topic><topic>Online</topic><topic>Strain gauge</topic><topic>Wear</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghani, J.A.</creatorcontrib><creatorcontrib>Rizal, M.</creatorcontrib><creatorcontrib>Nuawi, M.Z.</creatorcontrib><creatorcontrib>Ghazali, M.J.</creatorcontrib><creatorcontrib>Haron, C.H.C.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Wear</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghani, J.A.</au><au>Rizal, M.</au><au>Nuawi, M.Z.</au><au>Ghazali, M.J.</au><au>Haron, C.H.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring online cutting tool wear using low-cost technique and user-friendly GUI</atitle><jtitle>Wear</jtitle><date>2011-07-29</date><risdate>2011</risdate><volume>271</volume><issue>9</issue><spage>2619</spage><epage>2624</epage><pages>2619-2624</pages><issn>0043-1648</issn><eissn>1873-2577</eissn><coden>WEARAH</coden><abstract>► Strain gauges are low cost sensor for online tool wear monitoring. ► We develop a correlation between coefficients of I-Kaz™ 2D and flank wear width. ► Real time tool wear monitoring using a simple developed GUI. ► The system able to predict amount of flank wear width using cutting force signals.
Cutting tool wear is known to affect tool life, surface quality and production time. Because of this an online tool wear measurement and monitoring system has been developed, using a low-cost sensor. The system is able to detect and analyze signals relating to the deflection of the tool holder from the cutting force, and the corresponding estimation of wear is displayed on the computer screen. New statistical analysis is used to identify and characterise the changes in signals from the sensors. A two-channel strain gauge is mounted at the tool holder to measure the deflection in both tangential direction and feed direction. The signal is transmitted to the signal conditioning device, then to data acquisition, and finally to the computer system. MATLAB software is used as the platform software to develop a user-friendly graphical user interface (GUI) for online monitoring purposes. Results show that this developed online monitoring system, using the strain gauge signal, is an effective method of detecting the progression of flank wear width during machining. This is an efficient and low-cost method which can be used in the real machining industry to predict the level of wear in the cutting tool.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.wear.2011.01.038</doi><tpages>6</tpages></addata></record> |
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| subjects | Applied sciences Computer programs Cutting tools Deflection Exact sciences and technology Flank wear Friction, wear, lubrication I-Kaz™ method Low-cost monitoring Machine components Matlab Mechanical engineering. Machine design Monitoring On-line systems Online Strain gauge Wear |
| title | Monitoring online cutting tool wear using low-cost technique and user-friendly GUI |
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