Volume 2A: Advanced Manufacturing 2014
DOI: 10.1115/imece2014-37170
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On the Effect of Johnson Cook Material Constants to Simulate Al2024-T3 Machining Using Finite Element Modeling

Abstract: Finite element modeling (FEM) of machining has recently become the most attractive computational tool to predict and optimize metal cutting processes. High speed computers and advanced finite element code have offered the possibility of simulating complex machining processes such as turning, milling, and drilling. The use of an accurate constitutive law is very important in any metal cutting simulation. It is desirable that a constitutive law could completely characterize the thermo-visco-plastic behavior of t… Show more

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Cited by 7 publications
(9 citation statements)
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“…The overestimation in thrust force prediction in the FE models can be due to several reasons, first the strengths and failure energies in different directions at high strain rates (as expected in material removal processes such as the drilling process) for modelling damage behaviour of homogenised composite ply is not well documented in the literature. Furthermore most of such studies focusing on the high strain-rate behaviour of composites are primarily conducted using uniaxial tension, compression or torsion tests [15,40,52]. Drilling mainly induces bending stresses locally on the workpiece during its entry and exit; though in the absence of suitable data for high-strain behaviour of composites under bending load, the strengths and failure energies from uniaxial tensile tests [44,45,53] was employed in drilling simulations here which has probably led to overestimated results.…”
Section: Thrust Force and Torque Resultsmentioning
confidence: 99%
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“…The overestimation in thrust force prediction in the FE models can be due to several reasons, first the strengths and failure energies in different directions at high strain rates (as expected in material removal processes such as the drilling process) for modelling damage behaviour of homogenised composite ply is not well documented in the literature. Furthermore most of such studies focusing on the high strain-rate behaviour of composites are primarily conducted using uniaxial tension, compression or torsion tests [15,40,52]. Drilling mainly induces bending stresses locally on the workpiece during its entry and exit; though in the absence of suitable data for high-strain behaviour of composites under bending load, the strengths and failure energies from uniaxial tensile tests [44,45,53] was employed in drilling simulations here which has probably led to overestimated results.…”
Section: Thrust Force and Torque Resultsmentioning
confidence: 99%
“…Previous numerical studies considered FE based and analytical-modelling of GLAREs to study their damage under high and low-speed impact, and blast loading primarily [7][8][9][10]. Development of FE models of machining metals and advanced alloys has surged over the years [11][12][13][14][15], while such application to GLAREs is not widely reported. The present work investigates the performance of aerospace structural material GLARE, a fibre metal laminate to machining process using twist drilling operations.…”
mentioning
confidence: 99%
“…2 As a result, thermal softening of the material occurs due to quasi-adiabatic condition. 13 Wu and To 11 also deduced that the adiabatic heating effect which occurs during HSM causes thermal softening of the material and produce serrated chips. 11 Therefore, thermal softening along with reduced coefficient of friction was incorporated at higher cutting conditions which resulted in decreased cutting forces.…”
Section: Discussionmentioning
confidence: 99%
“…Johnson-Cook material model (JC) is extensively used in machining to predict cutting forces, chip morphologies, residual stresses, and temperatures. 2,3,6,[10][11][12][13] The material behavior in JC material constitutive model is represented in terms of strains, strain rates, and temperatures. 2 Higher cutting speed effects heat transfer and cutting temperatures due to short contact time.…”
Section: Introductionmentioning
confidence: 99%
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