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

Yearbook

2021

Volume

vol. 66

Issue

No 3

Authors

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

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 ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences

Bibliography

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[16] H .B. Ulas,T. Indian I. Metals 67 (6), 869-879 (2014). DOI: https://doi.org/10.1007/s12666-014-0410-y
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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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