Details
Title
A Frontier Statistical Approach Towards Online Tool Condition Monitoring and Optimization for Dry Turning Operation of SAE 1015 SteelJournal title
Archives of Metallurgy and MaterialsYearbook
2021Volume
vol. 66Issue
No 3Affiliation
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 KingdomAuthors
Keywords
Coated inserts ; Microflown sensor ; flank wear ; I- Kaz ; neural networkDivisions of PAS
Nauki TechniczneCoverage
901-909Publisher
Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of SciencesBibliography
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