Advances in material and friction data for modelling of metal machining

Shreyes N Melkote (1) , Wit Grzesik (2) , José Outeiro (3) , Joel Rech (4) , Volker Schulze (5) , Helmi Attia (6, 7) , Pedro J. Arrazola (8) , Rachid M'Saoubi (9) , Christopher Saldana (1)

1 Georgia Institute of Technology [Atlanta]
2 Opole - University of Technology
3 LABOMAP - Laboratoire Bourguignon des Matériaux et Procédés
4 LTDS - Laboratoire de Tribologie et Dynamique des Systèmes
5 KIT - Karlsruhe Institute of Technology
6 NRC - National Research Council of Canada
7 McGill University = Université McGill [Montréal, Canada]
8 Mondragon Unibertsitatea
9 Seco Tools AB - Seco Tools AB

This paper reviews recent advances in constitutive and friction data and models for simulation of metal machining. Phenomenological and physically-based constitutive models commonly used in machining simulations are presented and discussed. Other topics include experimental techniques for acquiring data necessary to identify the constitutive model parameters, and recent advances in modelling of tool-workpiece friction and experimental techniques to acquire friction data under machining conditions. Additionally, thermo-physical properties for thermal modelling of the machining process, and microstructure data for the chip and workpiece together with relevant experimental methods are discussed. Future research needs in each of the focused areas are highlighted.

Mots clés: friction; modelling; machining

Domaines: Génie mécanique [physics.class-ph]

Shreyes N Melkote, Wit Grzesik, José Outeiro, Joel Rech, Volker Schulze, et al.. Advances in material and friction data for modelling of metal machining. CIRP Annals - Manufacturing Technology, 2017, 66 (2), pp.731-754. ⟨10.1016/j.cirp.2017.05.002⟩. ⟨hal-01611255⟩