A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends
The complex structure of turning aggravates obtaining the desired results in terms of tool wear and surface roughness. The existence of high temperature and pressure make difficult to reach and observe the cutting area. In-direct tool condition, monitoring systems provide tracking the condition of c...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/1/108 |
| _version_ | 1797543411671105536 |
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| author | Mustafa Kuntoğlu Abdullah Aslan Danil Yurievich Pimenov Üsame Ali Usca Emin Salur Munish Kumar Gupta Tadeusz Mikolajczyk Khaled Giasin Wojciech Kapłonek Shubham Sharma |
| author_facet | Mustafa Kuntoğlu Abdullah Aslan Danil Yurievich Pimenov Üsame Ali Usca Emin Salur Munish Kumar Gupta Tadeusz Mikolajczyk Khaled Giasin Wojciech Kapłonek Shubham Sharma |
| author_sort | Mustafa Kuntoğlu |
| collection | DOAJ |
| description | The complex structure of turning aggravates obtaining the desired results in terms of tool wear and surface roughness. The existence of high temperature and pressure make difficult to reach and observe the cutting area. In-direct tool condition, monitoring systems provide tracking the condition of cutting tool via several released or converted energy types, namely, heat, acoustic emission, vibration, cutting forces and motor current. Tool wear inevitably progresses during metal cutting and has a relationship with these energy types. Indirect tool condition monitoring systems use sensors situated around the cutting area to state the wear condition of the cutting tool without intervention to cutting zone. In this study, sensors mostly used in indirect tool condition monitoring systems and their correlations between tool wear are reviewed to summarize the literature survey in this field for the last two decades. The reviews about tool condition monitoring systems in turning are very limited, and relationship between measured variables such as tool wear and vibration require a detailed analysis. In this work, the main aim is to discuss the effect of sensorial data on tool wear by considering previous published papers. As a computer aided electronic and mechanical support system, tool condition monitoring paves the way for machining industry and the future and development of Industry 4.0. |
| first_indexed | 2024-03-10T13:45:12Z |
| format | Article |
| id | doaj.art-18719b65c9c84267818634d27cf58514 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T13:45:12Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-18719b65c9c84267818634d27cf585142023-11-21T02:40:51ZengMDPI AGSensors1424-82202020-12-0121110810.3390/s21010108A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and TrendsMustafa Kuntoğlu0Abdullah Aslan1Danil Yurievich Pimenov2Üsame Ali Usca3Emin Salur4Munish Kumar Gupta5Tadeusz Mikolajczyk6Khaled Giasin7Wojciech Kapłonek8Shubham Sharma9Mechanical Engineering Department, Technology Faculty, Selcuk University, Selçuklu, 42130 Konya, TurkeyMechanical Engineering Department, Engineering and Architecture Faculty, Selcuk University, Akşehir, 42130 Konya, TurkeyDepartment of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, RussiaMechanical Engineering Department, Engineering and Architecture Faculty, Bingöl University, 12000 Bingöl, TurkeyDepartment of Metallurgical and Materials Engineering, Selcuk University, Selçuklu, 42130 Konya, TurkeyDepartment of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, RussiaDepartment of Production Engineering, UTP University of Science and Technology, Al. Prof. S. Kaliskiego 7, 85-796 Bydgoszcz, PolandSchool of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UKDepartment of Production Engineering, Faculty of Mechanical Engineering, Koszalin University of Technology, Racławicka 15-17, 75-620 Koszalin, PolandDepartment of Mechanical Engineering, IKG Punjab Technical University, Jalandhar-Kapurthala Road, Kapurthala, Punjab 144603, IndiaThe complex structure of turning aggravates obtaining the desired results in terms of tool wear and surface roughness. The existence of high temperature and pressure make difficult to reach and observe the cutting area. In-direct tool condition, monitoring systems provide tracking the condition of cutting tool via several released or converted energy types, namely, heat, acoustic emission, vibration, cutting forces and motor current. Tool wear inevitably progresses during metal cutting and has a relationship with these energy types. Indirect tool condition monitoring systems use sensors situated around the cutting area to state the wear condition of the cutting tool without intervention to cutting zone. In this study, sensors mostly used in indirect tool condition monitoring systems and their correlations between tool wear are reviewed to summarize the literature survey in this field for the last two decades. The reviews about tool condition monitoring systems in turning are very limited, and relationship between measured variables such as tool wear and vibration require a detailed analysis. In this work, the main aim is to discuss the effect of sensorial data on tool wear by considering previous published papers. As a computer aided electronic and mechanical support system, tool condition monitoring paves the way for machining industry and the future and development of Industry 4.0.https://www.mdpi.com/1424-8220/21/1/108indirect tool condition monitoring systemsturningmachiningvibrationcutting forceacoustic emission |
| spellingShingle | Mustafa Kuntoğlu Abdullah Aslan Danil Yurievich Pimenov Üsame Ali Usca Emin Salur Munish Kumar Gupta Tadeusz Mikolajczyk Khaled Giasin Wojciech Kapłonek Shubham Sharma A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends Sensors indirect tool condition monitoring systems turning machining vibration cutting force acoustic emission |
| title | A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends |
| title_full | A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends |
| title_fullStr | A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends |
| title_full_unstemmed | A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends |
| title_short | A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends |
| title_sort | review of indirect tool condition monitoring systems and decision making methods in turning critical analysis and trends |
| topic | indirect tool condition monitoring systems turning machining vibration cutting force acoustic emission |
| url | https://www.mdpi.com/1424-8220/21/1/108 |
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