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A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trends

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A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trends. / Kuntoğlu, Mustafa; Aslan, Abduallah; Pimenov, Danil; Usca , Üsame ; Salur, Emin; Gupta, Munish; Mikolajczyk, Tadeusz; Giasin, Khaled; Kaplonek, Wojciech; Sharma, Shubham.

In: Sensors, Vol. 21, No. 1, 108, 26.12.2020.

Research output: Contribution to journalArticlepeer-review

Harvard

Kuntoğlu, M, Aslan, A, Pimenov, D, Usca , Ü, Salur, E, Gupta, M, Mikolajczyk, T, Giasin, K, Kaplonek, W & Sharma, S 2020, 'A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trends', Sensors, vol. 21, no. 1, 108. https://doi.org/10.3390/s21010108

APA

Kuntoğlu, M., Aslan, A., Pimenov, D., Usca , Ü., Salur, E., Gupta, M., Mikolajczyk, T., Giasin, K., Kaplonek, W., & Sharma, S. (2020). A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trends. Sensors, 21(1), [108]. https://doi.org/10.3390/s21010108

Vancouver

Author

Kuntoğlu, Mustafa ; Aslan, Abduallah ; Pimenov, Danil ; Usca , Üsame ; Salur, Emin ; Gupta, Munish ; Mikolajczyk, Tadeusz ; Giasin, Khaled ; Kaplonek, Wojciech ; Sharma, Shubham. / A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trends. In: Sensors. 2020 ; Vol. 21, No. 1.

Bibtex

@article{5044f4c2090f4e999e2cb12e0d1864ef,
title = "A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trends",
abstract = "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.",
keywords = "indirect tool condition monitoring systems, turning, machining, vibration, cutting force, acoustic emission, temperature, current, industry 4.0",
author = "Mustafa Kuntoğlu and Abduallah Aslan and Danil Pimenov and {\"U}same Usca and Emin Salur and Munish Gupta and Tadeusz Mikolajczyk and Khaled Giasin and Wojciech Kaplonek and Shubham Sharma",
year = "2020",
month = dec,
day = "26",
doi = "10.3390/s21010108",
language = "English",
volume = "21",
journal = "Sensors",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute",
number = "1",

}

RIS

TY - JOUR

T1 - A review of indirect tool condition monitoring systems and decision-making methods in turning: critical analysis and trends

AU - Kuntoğlu, Mustafa

AU - Aslan, Abduallah

AU - Pimenov, Danil

AU - Usca , Üsame

AU - Salur, Emin

AU - Gupta, Munish

AU - Mikolajczyk, Tadeusz

AU - Giasin, Khaled

AU - Kaplonek, Wojciech

AU - Sharma, Shubham

PY - 2020/12/26

Y1 - 2020/12/26

N2 - 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.

AB - 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.

KW - indirect tool condition monitoring systems

KW - turning

KW - machining

KW - vibration

KW - cutting force

KW - acoustic emission

KW - temperature

KW - current

KW - industry 4.0

U2 - 10.3390/s21010108

DO - 10.3390/s21010108

M3 - Article

VL - 21

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 1

M1 - 108

ER -

ID: 25363510