Details

Title

A Frontier Statistical Approach Towards Online Tool Condition Monitoring and Optimization for Dry Turning Operation of SAE 1015 Steel

Journal title

Archives of Metallurgy and Materials

Affiliation

Chinnasamy, Moganapriya : Kongu Engineering College, Department of Mechanical Engineering, Perundurai – 638060, Tamil Nadu State, India ; Rathanasamy, Rajasekar : Kongu Engineering College, Department of Mechanical Engineering, Perundurai – 638060, Tamil Nadu State, India ; Kaliyannan, Gobinath Velu : Kongu Engineering College, Department of Mechatronics Engineering, Perundurai – 638060, Tamil Nadu State, India ; Paramasivam, Prabhakaran : Kongu Engineering College, Department of Mechanical Engineering, Perundurai – 638060, Tamil Nadu State, India ; Jaganathan, Saravana Kumar : Bionanotechnology Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam ; Jaganathan, Saravana Kumar : Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam ; Jaganathan, Saravana Kumar : Department of Engineering, Faculty of Science and Engineering, University of Hull, HU6 7RX, United Kingdom

Authors

Keywords

Coated inserts ; Microflown sensor ; flank wear ; I- Kaz ; neural network

Divisions of PAS

Nauki Techniczne

Coverage

901-909

Publisher

Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Commitee on Metallurgy of Polish Academy of Sciences

Bibliography

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[2] C. Moganapriya, M. Vigneshwaran, G. Abbas, A. Ragavendran, V.C. Harissh Ragavendra, R. Rajasekar, Mater. Today, Proceeding (2020).
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[4] A.P. Kulkarni, V.G. Sargade, Mater. Manuf. Process 30 (6), 748- 755 (2015). DOI: https://doi.org/10.1080/10426914.2014.984217
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[7] A. Alok, M. Das, Measurement 133, 288-302 (2019). DOI: https://doi.org/10.1016/j.measurement.2018.10.009
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[9] R . Horváth, Á. Drégelyi-Kiss, G. Mátyási, Acta Polytech. Hung. 11 (2), 137-147 (2014).
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[11] M.K. Gupta, P. Sood, V.S. Sharma, J. Clean Prod. 135, 1276-1288 (2016). DOI: https://doi.org/10.1016/j.jclepro.2016.06.184
[12] S . Pai, T. Nagabhushana, Handbook of Research on Emerging Trends and Applications of Machine Learning, 2020 IGI Global.
[13] A.K. Jain, B.K. Lad, J. Intell. Manuf. 30 (3), 1423-1436 (2019). DOI: https://doi.org/10.1007/s10845-017-1334-2
[14] R . Teti, K. Jemielniak, G. O’Donnell, D. Dornfeld, CIRP Ann. 59 (2), 717-739 (2010). DOI: https://doi.org/10.1016/j.cirp.2010.05.010
[15] C. Moganapriya, R. Rajasekar, K. Ponappa, R. Venkatesh, R. Karthick, Arch. Metall. Mater. 62 (3), 1827-1832 (2017). DOI: https://doi.org/10.1515/amm-2017-0276
[16] H .B. Ulas,T. Indian I. Metals 67 (6), 869-879 (2014). DOI: https://doi.org/10.1007/s12666-014-0410-y
[17] S . Thangarasu, S. Shankar, T. Mohanraj, K. Devendran, P. I. Mech. Eng. C.-J. Mec. 234 (1), 329-342 (2019).
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Date

2021.09.06

Type

Article

Identifier

DOI: 10.24425/amm.2021.136396

Source

Archives of Metallurgy and Materials
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