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HomeKey Engineering MaterialsKey Engineering Materials Vols. 340-341Plasticity-Related Microstructure-Property...

Plasticity-Related Microstructure-Property Relations for Materials Design

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Abstract:

Design has traditionally involved selecting a suitable material for a given application. A materials design revolution is underway in which the classical materials selection approach is replaced by design of material microstructure or mesostructure to achieve certain performance requirements such as density, strength, ductility, conductivity, and so on. Often these multiple performance requirements are in conflict in terms of their demands on microstructure. Computational plasticity models play a key role in evaluating structure-property relations necessary to support simulation-based design of heterogeneous, multifunctional metals and alloys. We consider issues related to systems design of several classes of heterogeneous material systems that is robust against various sources of uncertainty. Randomness of microstructure is one such source, as is model idealization error and uncertainty of model parameters. An example is given for design of a four-phase reactive powder metal-metal oxide mixture for initiation of exothermic reactions under shock wave loading. Material attributes (e.g. volume fraction of phases) are designed to be robust against uncertainty due to random variation of microstructure. We close with some challenges to modeling of plasticity in support of design of deformation and damage-resistant microstructures.

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Periodical:

Key Engineering Materials (Volumes 340-341)

Pages:

21-30

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.340-341.21

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Cite this paper

Online since:

June 2007

Authors:

David L. McDowell, Hae Jin Choi, Jitesh Panchal, Ryan Austin, Janet Allen, Farrokh Mistree

Keywords:

Materials Design, Microstructure-Property, Plasticity

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[1] D.L. McDowell: Int. Journal of Solids and Structures, Vol. 37 (2000), p.293.

[2] D.L. McDowell: Theoretical and Applied Fracture Mech., Vol. 37 (2001), p.245.

[3] G.B. Olson: Science, Vol. 277, No. 5330 (1997), p.1237.

[4] K. Pedersen, J. Emblemsvag, R. Bailey, J. Allen and F. Mistree: ASME Design Theory and Methodology Conference, New York. Paper Number: ASME DETC2000/DTM-14579 (2000).

[5] M. Ortiz: Computational Mechanics, Vol. 18 (1996) p.1.

[6] A. Needleman and J.R. Rice: Acta Met., Vol. 28, No. 10 (1980), p.1315.

[7] S.S. Isukapalli, A. Roy and P.G. Georgopoulos: Risk Analysis, Vol. 18, No. 3 (1998), p.351.

[8] F. Mistree, O.F. Hughes and B.A. Bras: Structural Optimization: Status and Promise (M. P. Kamat, Ed. ), AIAA, Washington, D.C. (1993), p.247.

[9] W. Chen: A Robust Concept Exploration Method for Configuring Complex Systems, Ph.D. Dissertation, GWW School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia (1995).

[10] C.C. Seepersad, R.S. Kumar, J.K. Allen, F. Mistree and D.L. McDowell: Journal of ComputerAided Materials Design, Vol. 11, Nos. 2-3 (2005), p.163.

[11] H. -J. Choi, R. Austin, J. Shepherd, J.K. Allen, D.L. McDowell, F. Mistree, and D.J. Benson: Journal of Computer-Aided Materials Design, Vol. 12, No. 1 (2005), p.57.

[12] J.H. Panchal, H. Choi, J. Shepherd, J.K. Allen, D.L. McDowell, and F. Mistree, Proc. IDETC/CIE 2005, ASME 2005 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, September 24-28, Long Beach, California, USA, DETC2005-85316 (2005).

[13] G. Taguchi: Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream, ASME Press, New York (1993).

DOI: 10.1115/1.800288

[14] H.A. Simon: The Sciences of the Artificial, The MIT Press, Cambridge, MA (1992).

[15] H. -J. Choi, A Robust Design method for Model and Propagated Uncertainty, Ph.D. Dissertation, GWW School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia (2005).

[16] R.A. Austin, D.L. McDowell, and D.J. Benson: Mod. Simul. Mater. Sci. Engng., Vol. 14 (2006), p.537.

[17] D.J. Benson: Computational Mechanics, Vol. 15 (1995), p.558.

[18] J.R. Klepaczko, T. Sasaki and T. Kurokawa: Trans. Japan Soc. Aero. Space Sci., Vol. 36, No. 113 (1993), p.170.

[19] O.A. Hasan and M.C. Boyce: Polymer Engineering and Science, Vol. 35, No. 4 (1995), p.331.

[20] A.G. Merzhanov: Combustion and Flame, Vol. 10 (1966), p.341.

[21] X. Lu and S.V. Hanagud: Dislocation-based plasticity at high-strain-rates in solids, 45th AIAA/ASME/ASCE/AHS/ASC Struct., Struct. Dyn. and Mater. Conf.; 12th AIAA/ASME/AHS Adapt. Struct. Conf.; 6th AIAA Non-Deterministic Approaches Forum; 5th AIAA Gossamer Spacecraft Forum, Apr 19-22 2004, Palm Springs, CA (2004).

DOI: 10.2514/6.2004-1920