Open Access Journal

ISSN : 2456-1290 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Reference :

    1. Segreto T. ,Simeone A. and Teti R., “Multiple sensor monitoring in nickel alloy turning for tool wear assessment via sensor fusion”, 8th CIRP Conference on Intelligent Computation in Manufacturing Engineering Journals of Science Direct,Procedia CIRP 12 (2013), Page no 85 – 90.
    2. C.Leone,D.D’Addona, R.Teti“Tool wear modelling throughregression analysis and intelligent methods for nickel base alloy machining” CIRP Journal of Manufacturing Science and Technology Volume 4, Issue 3, 2011, Pages 327– 331
    3. Samik Dutta, Surjya K. Pal , Ranjan Sen “On-machine tool prediction of flank wear from machined surface images using texture analyses and support vector regression” Precision Engineering Volume 43, January 2016, Pages 34–42
    4. Bulent Kaya, CuneytOysu, Huseyin M. Ertunc, “Force-torque based on-line tool wear estimation system for CNC milling of Inconel 718 using neural networks”, Journals of Elsevier, Advances in Engineering Software 42 (2011) 76 84
    5. Chethan YD, Venkatadas R, Krishne Gowda YT. Estimation of Machine Vision and Acoustic Emission Parameters for Tool Status Monitoring in Turning Using Artificial Neural Network. ASME. ASME International Mechanical Engineering Congress and Exposition, Volume2A:AdvancedManufacturing :V02AT02A 050. doi:10.1115/IMECE2015-50445.

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