Spatial Stochastic Modeling Of Advanced Functional Materials For Investigating Process Microstructure And Microstructure Property Relationships
Download Spatial Stochastic Modeling Of Advanced Functional Materials For Investigating Process Microstructure And Microstructure Property Relationships full books in PDF, epub, and Kindle. Read online free Spatial Stochastic Modeling Of Advanced Functional Materials For Investigating Process Microstructure And Microstructure Property Relationships ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Daniel Westhoff |
Publisher | : |
Total Pages | : |
Release | : 2019 |
Genre | : |
ISBN | : |
Download Spatial Stochastic Modeling of Advanced Functional Materials for Investigating Process-microstructure and Microstructure-property Relationships Book in PDF, Epub and Kindle
Author | : Benedikt Prifling |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Microstructure |
ISBN | : |
Download Process-microstructure-property Relationships Based on Statistical Analysis of 3D Image Data and Spatial Stochastic Modeling Book in PDF, Epub and Kindle
Author | : Somnath Ghosh |
Publisher | : Springer Science & Business Media |
Total Pages | : 669 |
Release | : 2010-11-17 |
Genre | : Science |
ISBN | : 1441906436 |
Download Computational Methods for Microstructure-Property Relationships Book in PDF, Epub and Kindle
Computational Methods for Microstructure-Property Relationships introduces state-of-the-art advances in computational modeling approaches for materials structure-property relations. Written with an approach that recognizes the necessity of the engineering computational mechanics framework, this volume provides balanced treatment of heterogeneous materials structures within the microstructural and component scales. Encompassing both computational mechanics and computational materials science disciplines, this volume offers an analysis of the current techniques and selected topics important to industry researchers, such as deformation, creep and fatigue of primarily metallic materials. Researchers, engineers and professionals involved with predicting performance and failure of materials will find Computational Methods for Microstructure-Property Relationships a valuable reference.
Author | : Joachim Ohser |
Publisher | : John Wiley & Sons |
Total Pages | : 420 |
Release | : 2000-12-19 |
Genre | : Mathematics |
ISBN | : 0471974862 |
Download Statistical Analysis of Microstructures in Materials Science Book in PDF, Epub and Kindle
The investigation of the origin and formation of microstructures and the effect that microstructure has on the properties of materials are important issues in materials science and technology. Geometrical analysis is often the key to understanding the formation of microstructures and the resulting material properties. The authors make use of mathematical morphology, spatial statistics, image processing, stereology and stochastic geometry to analyze microstructures arising in materials science. * Quantitative microstructure analysis is one of the most successful experimental techniques in materials science * Uses examples to demonstrate the techniques * Program code included enables the reader to apply the numerous algorithms * Accessible to material scientists with limited statistical knowledge Primarily aimed at applied materials scientists, the book will also appeal to those working and researching in earth sciences, material technology, mineralogy, petrography, image analysis, cytology and biology.
Author | : Salvatore Torquato |
Publisher | : Springer Science & Business Media |
Total Pages | : 730 |
Release | : 2005-10-25 |
Genre | : Mathematics |
ISBN | : 9780387951676 |
Download Random Heterogeneous Materials Book in PDF, Epub and Kindle
This accessible text presents a unified approach of treating the microstructure and effective properties of heterogeneous media. Part I deals with the quantitative characterization of the microstructure of heterogeneous via theoretical methods; Part II treats a wide variety of effective properties of heterogeneous materials and how they are linked to the microstructure, accomplished by using rigorous methods.
Author | : Binbin Lin |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : |
ISBN | : |
Download Data-driven Analysis of Microstructure-Property Relation in Functional Materials Book in PDF, Epub and Kindle
Author | : Bin Wen |
Publisher | : |
Total Pages | : 225 |
Release | : 2013 |
Genre | : |
ISBN | : |
Download Stochastic Multiscale Modeling of Polycrystalline Materials Book in PDF, Epub and Kindle
Mechanical properties of engineering materials are sensitive to the underlying random microstructure. Quantification of mechanical property variability induced by microstructure variation is essential for the prediction of extreme properties and microstructure-sensitive design of materials. Recent advances in high throughput characterization of polycrystalline microstructures have resulted in huge data sets of microstructural descriptors and image snapshots. To utilize these large scale experimental data for computing the resulting variability of macroscopic properties, appropriate mathematical representation of microstructures is needed. By exploring the space containing all admissible microstructures that are statistically similar to the available data, one can estimate the distribution/envelope of possible properties by employing efficient stochastic simulation methodologies along with robust physics-based deterministic simulators. The focus of this thesis is on the construction of lowdimensional representations of random microstructures and the development of efficient physics-based simulators for polycrystalline materials. By adopting appropriate stochastic methods, such as Monte Carlo and Adaptive Sparse Grid Collocation methods, the variability of microstructure-sensitive properties of polycrystalline materials is investigated. The primary outcomes of this thesis include: - Development of data-driven reduced-order representations of microstruc- ture variations to construct the admissible space of random polycrystalline microstructures. - Development of accurate and efficient physics-based simulators for the estimation of material properties based on mesoscale microstructures. - Investigating property variability of polycrystalline materials using efficient stochastic simulation methods in combination with the above two developments. The uncertainty quantification framework developed in this work integrates information science and materials science, and provides a new outlook to multiscale materials modeling accounting for microstructure and process uncertainties. Predictive materials modeling will accelerate the development of new materials and processes for critical applications in industry.
Author | : Yan Wang |
Publisher | : Woodhead Publishing Limited |
Total Pages | : 604 |
Release | : 2020-03-12 |
Genre | : Materials science |
ISBN | : 0081029411 |
Download Uncertainty Quantification in Multiscale Materials Modeling Book in PDF, Epub and Kindle
Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.
Author | : Xiaolei Wu |
Publisher | : CRC Press |
Total Pages | : 796 |
Release | : 2021-11-24 |
Genre | : Technology & Engineering |
ISBN | : 100035332X |
Download Heterostructured Materials Book in PDF, Epub and Kindle
Heterostructured (HS) materials represent an emerging class of materials that are expected to become a major research field for the communities of materials, mechanics, and physics in the next couple of decades. One of the biggest advantages of HS materials is that they can be produced by large-scale industrial facilities and technologies and therefore can be commercialized without the scaling up and high-cost barriers that are often encountered by other advanced materials. This book collects recent papers on the progress in the field of HS materials, especially their fundamental physics. The papers are arranged in a sequence of chapters that will help new researchers entering the field to have a quick and comprehensive understanding of HS materials, including the fundamentals and recent progress in their processing, characterization, and properties.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 149 |
Release | : 2016-12-21 |
Genre | : Technology & Engineering |
ISBN | : 0309449758 |
Download Predictive Theoretical and Computational Approaches for Additive Manufacturing Book in PDF, Epub and Kindle
Additive manufacturing (AM) methods have great potential for promoting transformative research in many fields across the vast spectrum of engineering and materials science. AM is one of the leading forms of advanced manufacturing which enables direct computer-aided design (CAD) to part production without part-specific tooling. In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for various AM technologies. While experimental workshops in AM have been held in the past, this workshop uniquely focused on theoretical and computational approaches and involved areas such as simulation-based engineering and science, integrated computational materials engineering, mechanics, materials science, manufacturing processes, and other specialized areas. This publication summarizes the presentations and discussions from the workshop.