Specific cutting energy: a physical measurement for representing tool wear

Author:

Proteau Antoine,Tahan Antoine,Thomas Marc

Funder

Fonds de Recherche du Québec - Nature et Technologies

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference23 articles.

1. Debongnie J-F (2006) Usinage. Editions du CEFAL,

2. Agogino A, Goebel K (2007) Milling Data Set https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/ . Accessed 23 May 2018

3. Kohler D, Weisz J-D (2016) Industrie 4.0 Les défis de la transformation numérique du modèle industriel allemand. France

4. Zhou Y, Xue W (2018) Review of tool condition monitoring methods in milling processes. Int J Adv Manuf Technol:1–15

5. Gebremariam MA, Xiang Yuan S, Azhari A, Lemma TA (2017) Remaining tool life prediction based on force sensors signal during end milling of Stavax ESR Steel. In: ASME 2017 International Mechanical Engineering Congress and Exposition, Tampa, Florida, USA, November 3-9, 2017. vol 58356. Volume 2: Advanced Manufacturing, p V002T002A094

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