e-book Crystal Plasticity Finite Element Methods: in Materials Science and Engineering

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Written by the leading experts in computational materials science, this handy engineers as well as for researchers wanting to improve on this method and Crystal Plasticity Finite Element Methods: in Materials Science and Engineering.
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Needleman: Acta Metallurgica Vol. Langkruis and J. Lof: Computational Materials Science Vol. Quey, P. Dawson and F. Stanford, and M. Chang, Y. Wang and X. Materials Science and Engineering A Vol. All Rights Reserved. Paper Titles. Article Preview. Abstract: By using Eulerian adaptive modeling approach, both the round extrusion and sheet extrusion of magnesium alloy AZ31 were simulated.

Add to Cart. Materials Science Forum Volume Main Theme:. Basic Research of Materials. Edited by:. Cite this paper. Online since:. April Cited by. Related Articles. Paper Title Pages. Abstract: FEM is a powerful tool for predicting cutting process variables, which are difficult to obtain with experimental methods.

Crystal Plasticity Finite Element Methods: in Materials Science and Engineering | Wiley

Because of the limitations of Lagrangian and Eulerian methods, a modeling method based on ALE Arbitrary Lagrangian Eulerian technology is proposed to simulate the chip formation process. It consists of three chip formation analysis steps, i. With this modeling method, high speed turning process of stainless steel 2Cr13 is simulated. And the predicted variables are compared with experimental data. Constitutive analysis of elastic-plastic crystals at arbitrary strain [J].

Editorial Reviews

Journal of the Mechanics and Physics of Solids, , 20 6 : — Strain localization in ductile single crystals [J]. Journal of the Mechanics and Physics of Solids, , 25 5 : — A micromechanical approach to inelastic behaviour of metals [J]. International Journal of Plasticity, , 8 1 : 55— Discussion of cyclic plasticity and viscoplasticity of single crystal nickel-based superalloy in large strain analysis: comparison of anisotropic macroscopic model and crystallographic model [J].

International Journal of Mechanical Sciences, , 46 8 : — An analysis of nonuniform and localized deformation in ductile single crystals [J]. Acta Metallurgica, , 30 6 : — Dislocation boundary formation in a cold-rolled cube-oriented Al single crystal [J]. Acta Materialia, , 45 6 : — Download references. Reprints and Permissions. Hu, L. Texture evolution and inhomogeneous deformation of polycrystalline Cu based on crystal plasticity finite element method and particle swarm optimization algorithm. South Univ.

Download citation. Received : 23 August Accepted : 03 November Published : 06 January Issue Date : December Search SpringerLink Search. Abstract Texture evolution and inhomogeneous deformation of polycrystalline Cu during uniaxial compression are investigated at the grain scale by combining crystal plasticity finite element method CPFEM with particle swarm optimization PSO algorithm. Needleman: Acta Metallurgica Vol. Langkruis and J.


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Lof: Computational Materials Science Vol. Quey, P. Dawson and F. Stanford, and M. Chang, Y. Wang and X. Materials Science and Engineering A Vol. All Rights Reserved. Paper Titles.

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Article Preview. Abstract: By using Eulerian adaptive modeling approach, both the round extrusion and sheet extrusion of magnesium alloy AZ31 were simulated. Add to Cart.

Antoinette M. Maniatty, "Computational Crystal Plasticity for the Design of Materials and Processes"

Materials Science Forum Volume Main Theme:. Basic Research of Materials. Edited by:. Cite this paper. Online since:. April Cited by.


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Related Articles. Paper Title Pages. Abstract: FEM is a powerful tool for predicting cutting process variables, which are difficult to obtain with experimental methods. Because of the limitations of Lagrangian and Eulerian methods, a modeling method based on ALE Arbitrary Lagrangian Eulerian technology is proposed to simulate the chip formation process.

Computational materials science

It consists of three chip formation analysis steps, i. With this modeling method, high speed turning process of stainless steel 2Cr13 is simulated. And the predicted variables are compared with experimental data.