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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 state of the art advances in computational modeling ways for fabrics structure-property family. Written with an strategy that acknowledges the need of the engineering computational mechanics framework, this quantity offers 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 bargains an research of the present options and chosen themes vital to researchers, akin to deformation, creep and fatigue of essentially steel fabrics. Researchers, engineers and execs concerned with predicting functionality and failure of fabrics will locate Computational tools for Microstructure-Property Relationships a important reference.

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Extra info for Computational Methods for Microstructure-Property Relationships

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Thus, each of these features affect internal stresses but is not taken into account within current design methods. In fact, even when design practice extends beyond treatments of the single-crystal superalloy as an elastic solid, these microstructural features are not directly included, perhaps accounting for some of the variability between performance and design. 2 Deficiencies in the Processing–Properties–Design Paradigm The standard practice for including creep or fatigue response into a design falls back on the previously described processing–properties-design paradigm for materials engineering.

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. the model. Acta Metall 38:1789–1802. Simonovski I, Kovac M and Cizelj L (2004) Estimating the correlation length of inhomogeneities in a polycrystalline material.

These flow rules are assigned to the discrete continua of the structure representation. However, a key open aspect of these flow rules is the level of finer-scale microstructure and/or failure criteria that they represent (MacLachlan et al. 2001; Harrison et al. 2004; Ma et al. 2008; Choi et al. 2009). 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.

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