New In Situ Imaging-Based Methodology to Identify the Material Constitutive Model Coefficients in Metal Cutting Process

Autor: Dong Zhang, Ke Zhang, José Outeiro, Han Ding, Xiao-Ming Zhang
Přispěvatelé: Huazhong University of Science and Technology [Wuhan] (HUST), Laboratoire Bourguignon des Matériaux et Procédés (LABOMAP), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
In situ
0209 industrial biotechnology
Digital image correlation
Matériaux [Sciences de l'ingénieur]
Materials science
Constitutive equation
Mechanical engineering
Material constitutive model
02 engineering and technology
010501 environmental sciences
01 natural sciences
Strain and strain rate
Industrial and Manufacturing Engineering
[SPI.MAT]Engineering Sciences [physics]/Materials
Stress (mechanics)
Machining processes
020901 industrial engineering & automation
Inspection and quality control
[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering
0105 earth and related environmental sciences
Mechanical Engineering
Génie des procédés [Sciences de l'ingénieur]
Process (computing)
Finite element method
Computer Science Applications
Metal cutting
Control and Systems Engineering
Zdroj: Journal of Manufacturing Science and Engineering
Journal of Manufacturing Science and Engineering, American Society of Mechanical Engineers, 2019, 141 (10), pp.101007-1 to 101007-11. ⟨10.1115/1.4044251⟩
ISSN: 1087-1357
Popis: International audience; A great challenge of metal cutting modeling is the ability of the material constitutive model to describe the mechanical behavior of the work material under the deformation conditions that characterizes this process. In particular, metal cutting generates a large range of state of stresses, as well as strains and strain rates higher than those generated by conventional mechanical tests, including the Split-Hopkinson pressure bar tests. A new hybrid analytical–experimental methodology to identify the material constitutive model coefficients is proposed. This methodology is based on an in situ high-resolution imaging and digital image correlation (DIC) technique, coupled with an analytical model of orthogonal cutting. This methodology is particularly suitable for the identification of the constitutive model coefficients at strains and strain rates higher than those found in mechanical tests. Orthogonal cutting tests of nickel aluminum bronze alloy are performed to obtain the strains and strain rates fields in the cutting zone, using DIC technique. Shear forces derived from stress integrations are matched to the measured ones. Then, the constitutive model coefficients can be determined, which is performed by solving a sequential optimization problem. Verifications are made by comparing the strain, strain rate, and temperature fields of cutting zone from experiments against those obtained by finite element simulations using the identified material constitutive model coefficients as input.
Databáze: OpenAIRE