Computational Methods for Microstructure-Property by Dennis M. Dimiduk (auth.), Somnath Ghosh, Dennis Dimiduk

By Dennis M. Dimiduk (auth.), Somnath Ghosh, Dennis Dimiduk (eds.)

Computational tools for Microstructure-Property Relationships introduces cutting-edge advances in computational modeling ways for fabrics structure-property family. Written with an process that acknowledges the need of the engineering computational mechanics framework, this quantity presents balanced therapy of heterogeneous fabrics constructions in the microstructural and part scales. Encompassing either computational mechanics and computational fabrics technological know-how disciplines, this quantity deals an research of the present thoughts and chosen themes very important to researchers, corresponding to deformation, creep and fatigue of basically metal fabrics. Researchers, engineers and execs concerned with predicting functionality and failure of fabrics will locate Computational equipment for Microstructure-Property Relationships a helpful reference.

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Usually, an anisotropic elastic-viscoplastic yield function or statevariable model, with or without crystallography and/or a damage model, would be the highest level of complexity that could be carried at this scale. Third, steps one and two need to be established within a numerical framework that is self-consistent with those selections. Within Ghosh’s scheme, a concurrent adaptive finite element method is preferred since such methods permit natural strain or damage localization during the strain evolution and couples them to lower length-scale aspects of the microstructure.

Choi Y-S, Wen Y-H, Parthasarathy TA, Woodward C and Dimiduk DM (2009) A new microstructure-sensitive crystallographic constitutive model for creep of Ni-base single-crystal blade alloys. TMS Annual Meeting. Christodoulou L and Larsen JM (2004) Using materials prognosis to maximize the utilization potential of complex mechanical systems. JOM 55:15–19. Christodoulou L Defense Advanced Research Projects Agency (DARPA) DARPA-AIM. html. Daw M and Baskes M (1984) Embedded-atom method: derivation and application to impurities, surfaces, and other defects in metals.

Science 277:1237–1242. Pollock TM and Tin S (2006) Nickel-based superalloys for advanced turbine engines: chemistry, microstructure, and properties. J Prop Power 22:361–374. com/products/casting/procast Reed RC (2006) The superalloys: fundamentals and applications, Cambridge University Press, Cambridge, UK. Shade PA (2008) Small scale mechanical testing techniques and application to evaluate a single crystal nickel superalloy. D. Thesis, The Ohio State University, 68–109. Shercliff HR and Ashby MF (1990) A process model for age hardening of Al alloys—part I.

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