[PDF] Computational Design Of Deformation Processes For The Control Of Microstructure Sensitive Properties eBook

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Publisher :
Page : 26 pages
File Size : 21,58 MB
Release : 2007
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The objective of this work was to develop a robust design methodology for optimizing microstructure-sensitive properties in aircraft components manufactured using metal forming processes. The multi-scale forming design simulator developed provides means to select the sequence of deformation processes, design the dies and preforms for each process stage as well as the process conditions such that a product is obtained with desired shape and microstructure. Modeling of uncertainty propagation in such multi-scale models of deformation is extremely complex considering the nonlinear coupled phenomena that need to be accounted for. The work addresses key mathematical and computational issues related to robust multi-scale design of deformation processes. Our research accomplishments include development of new mathematical models based on spectral polynomial chaos, support space, and entropy maximization techniques for modeling sources of uncertainties in material deformation processes. These models, in conjunction with multi-scale homogenization models, allow simulations of the effect of microstructural variability on the reliability of macro-scale systems. We have developed the first stochastic variational multi-scale simulator with an explicit sub-grid model, a robust deformation process simulator using spectral and collocation methods for simulating uncertainties in metal forming processes. Finally, recent developments including an information theoretic framework for modeling microstructural uncertainties is summarized.

Author : Veeraraghavan Sundararaghyavan
Publisher :
Page : 388 pages
File Size : 25,81 MB
Release : 2007
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Microstructures play an important role in controlling distribution of properties in engineering materials. It is possible to develop components with tailored distribution of properties such as strength and stiffness by controlling microstructure evolution during the manufacturing process. When forming metallic components by imposing large deformations, mechanisms such as slip and lattice rotation drive formation of texture in the underlying polycrystalline microstructure. Such microstructural changes affect the final distribution of material properties in the component. By carefully designing the imposed deformation, one could potentially tailor the microstructure and obtain desired property distributions. This thesis focuses on development of novel computational strategies for designing deformation processes to realize materials with desired properties. The techniques presented are an interplay of several new tools developed recently, such as reduced order modeling, graphical cross-plots, statistical learning, microstructure homogenization and multi-scale sensitivity analysis. The primary outcomes of this thesis are listed below: Development of reduced-order representations and graphical methodologies for representing process-property-texture relationships. Development of adaptive reduced-order optimization techniques for identification of processing paths that lead to desirable microstructure-sensitive properties. Development of homogenization techniques for predicting microstructure evolution in large deformation processes. Development of multi-scale sensitivity analysis of poly-crystalline material deformation for optimizing microstructure-sensitive properties during industrial forming processes. The framework for design of polycrystalline microstructures leads to increased product yield in industrial forming processes and simultaneously allows control distribution of properties such as stiffness and strength in forged products. Multiscale design problems leading to billions of unknowns have been solved using parallel computing techniques. The computational framework can be readily used for selecting optimal processing paths for achieving desired properties. The methodology developed is a fundamental effort at providing detailed deformation process design solutions needed for controlling properties of performance-critical hardware components in automotive, structural and aerospace applications. (Abstract).

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Page : 7 pages
File Size : 24,78 MB
Release : 2004
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The objective of this work is to address a number of mathematical and computational issues critical to the development of a robust multi-length scale and multi-stage deformation process design simulator for the control of microstructure-sensitive properties in aircraft manufacturing applications. As part of the research effort, multiple technical developments are being accomplished. An efficient framework for accurately assessing the effect of uncertainty in process and material parameters, in initial conditions and in the microstructure has been developed. A spectral polynomial chaos framework as well as a novel support space method have been developed for analyzing uncertainty in metal forming problems. On the meso-scale, robust statistical learning techniques as well as gradient based methods have been formulated for process sequence selection and design of highly optimized synthetic microstructures. Maximum entropy concepts have been used to develop an algorithm for efficient reconstruction of microstructure classes using a limited number of microstructure realizations. It is strongly believed that these advanced techniques can drastically improve process and material predictions in critical components.

Author : The Minerals, Metals & Materials Society (TMS)
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 33,53 MB
Release : 2011-06-15
Category : Technology & Engineering
ISBN : 1118147715

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In its most advanced form, Integrated Computational Materials Engineering (ICME) holistically integrates manufacturing simulation, advanced materials models and component performance analysis. This volume contains thirty-five papers presented at the 1st World Congress on Integrated Computational Materials Engineering. Modeling processing-microstructure relationships, modeling microstructure-property relationships, and the role of ICME in graduate and undergraduate education are discussed. Ideal as a primary text for engineering students, this book motivates a wider understanding of the advantages and limitations offered by the various computational (and coordinated experimental) tools of this field.

Author : Dongwon Shin
Publisher : Springer
Page : 239 pages
File Size : 46,51 MB
Release : 2017-11-10
Category : Technology & Engineering
ISBN : 3319682806

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This book provides state-of-the-art computational approaches for accelerating materials discovery, synthesis, and processing using thermodynamics and kinetics. The authors deliver an overview of current practical computational tools for materials design in the field. They describe ways to integrate thermodynamics and kinetics and how the two can supplement each other.

Author : Brent L. Adams
Publisher : Butterworth-Heinemann
Page : 425 pages
File Size : 49,90 MB
Release : 2012-12-31
Category : Technology & Engineering
ISBN : 0123972922

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The accelerating rate at which new materials are appearing, and transforming the engineering world, only serves to emphasize the vast potential for novel material structure and related performance. Microstructure Sensitive Design for Performance Optimization (MSDPO) embodies a new methodology for systematic design of material microstructure to meet the requirements of design in optimal ways. Intended for materials engineers and researchers in industry, government and academia as well as upper level undergraduate and graduate students studying material science and engineering, MSDPO provides a novel mathematical framework that facilitates a rigorous consideration of the material microstructure as a continuous design variable in the field of engineering design. Presents new methods and techniques for analysis and optimum design of materials at the microstructure level Authors' methodology introduces spectral approaches not available in previous texts, such as the incorporation of crystallographic orientation as a variable in the design of engineered components with targeted elastic properties Numerous illustrations and examples throughout the text help readers grasp the concepts

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Publisher : ScholarlyEditions
Page : 1318 pages
File Size : 34,25 MB
Release : 2012-01-09
Category : Computers
ISBN : 146496453X

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Issues in Computation / 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Computation. The editors have built Issues in Computation: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Computation in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Computation / 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.