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Advances in material and friction data for modelling of metal machining

Article dans une revue avec comité de lecture
Auteur
MELKOTE, Shreyes
301990 Georgia Institute of Technology [Atlanta]
GRZESIK, Wit
313012 Opole University of Technology
MARTINS DO OUTEIRO, Jose Carlos
127742 Laboratoire Bourguignon des Matériaux et Procédés [LABOMAP]
RECH, Joël
698 Laboratoire de Tribologie et Dynamique des Systèmes [LTDS]
SCHULZE, Volker
150665 Karlsruhe Institute of Technology = Karlsruher Institut für Technologie [KIT]
ATTIA, Helmi
303485 National Research Council of Canada [NRC]
ARRAZOLA, Pedro José
200718 IK4 - IKERLAN [Mondragón]
M'SAOUBI, Rachid
498636 Seco Tools AB [Seco Tools AB]
SALDANA, Christopher
301990 Georgia Institute of Technology [Atlanta]

URI
http://hdl.handle.net/10985/12058
DOI
10.1016/j.cirp.2017.05.002
Date
2017
Journal
CIRP Annals - Manufacturing Technology

Résumé

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.

Fichier(s) constituant cette publication

Nom:
LABOMAP_CIRP-ANNALS_2017_OUTEI ...
Taille:
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  • Laboratoire des Matériaux et Procédés (LaBoMaP)

Documents liés

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  • Optimization-based procedure for the determination of the constitutive model coefficients used in machining simulations 
    Communication avec acte
    CHENG, Wenyu; MARTINS DO OUTEIRO, Jose Carlos; COSTES, Jean-Philippe; M’SAOUBI, Rachid; KARAOUNI, Habib; DIETRICH, Stefan; MARCON, Bertrand; ROSA, Pedro (Elsevier BV, 2019)
    This paper deals with the determination of the constitutive model coefficients used in machining simulations. An optimization-based procedure is developed and applied to constitutive model coefficients determination of ...
  • Tool life and surface integrity in hard milling of hot work tool steels 
    Communication avec acte
    M'SAOUBI, Rachid; CHANDRASEKARAN, H.; COULON, Bertrand; MARQUES, M.J.; MARTINS DO OUTEIRO, Jose Carlos (2008)
    Machinability enhancement of hot work tool steels can be achieved intrinsically through tailoring of alloying elements and steel processing route but also externally through the use of adequate tooling. The aim of the ...
  • Evaluation of present numerical models for predicting metal cutting performance ans residual stresses 
    Article dans une revue avec comité de lecture
    UMBRELLO, Domenico; M'SAOUBI, Rachid; JAWAHIR, I.S.; MARTINS DO OUTEIRO, Jose Carlos (Taylor & Francis, 2015)
    Efforts on numerical modeling and simulation of metal cutting operations continue to increase due to the growing need for predicting the machining performance. A significant number of numer- ical methods, especially the ...
  • Constitutive model incorporating the strain-rate and state of stress effects for machining simulation of titanium alloy Ti6Al4V 
    Communication avec acte
    CHENG, Wenyu; MARTINS DO OUTEIRO, Jose Carlos; COSTES, Jean-Philippe; M’SAOUBI, Rachid; KARAOUNI, Habib; DENGUIR, Lamice; ASTAKHOV, Viktor; AUZENAT, François (Elsevier, 2018)
    Ti6Al4V titanium alloy is widely used in aero-engines due to its superior performance. However, as a difficult-to-cut alloy, it induces short cutting tool life and poor surface integrity. To improve these process outcomes, ...
  • A constitutive model for Ti6Al4V considering the state of stress and strain rate effects 
    Article dans une revue avec comité de lecture
    CHENG, Wenyu; MARTINS DO OUTEIRO, Jose Carlos; COSTES, Jean-Philippe; M'SAOUBI, Rachid; KARAOUNI, Habib; ASTAKHOV, Viktor (Elsevier, 2019)
    The predictability of manufacturing process simulation is highly dependent on the accuracy of the constitutive model to describe the mechanical behavior of the work material. The model should consider the most relevant ...

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