
Integrative Computational Materials Engineering
Description
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A resource for researchers, users and simulation software providers alike, the monograph provides an overview of the current status, serves as a generic manual for prospective users, and offers insights into the inner modular structure of the simulation platform.
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Persons
Ulrich Prahl received his PhD in Engineering Sciences in 2002 from RWTH Aachen University on the area of damage and failure prediction of high-strength fine grain pipeline steels. This work has been performed in the framework of the joined program 'Integrative Material Modelling' which aimed the development of materials models on various length scales. Since 2002 he is working as senior scientist at the department of ferrous metallurgy at RWTH Aachen University where he is heading the scientific working group 'Material Simulation'. Dr. Prahl is vice-coordinator in the AixViPMaP project which aims the definition of a modular integrative platform for the modelling of material processes on various length scales along the entire process chain. He has published more than 70 scientific articles.
Content
PART I: Concepts
INTRODUCTION
Motivation
What Is ICME?
Historical Development of ICME
Current Activities toward ICME
Toward a Modular Standardized Platform for ICME
Scope of This Book
BASIC CONCEPT OF THE PLATFORM
Overview
Open Architecture
Modularity
Standardization
Web-Based Platform Operation
Benefits of the Platform Concept
Verification Using Test Cases
STATE-OF-THE-ART MODELS, SOFTWARE, AND FUTURE IMPROVEMENTS
Introduction
Overview of Existing Models and Software
Requirements for Models and Software in an ICME Framework
Benefits of Platform Operations for Individual Models
Strong and Weak Coupling of Platform Models
Conclusions
STANDARDIZATION
Overview
Standardization of Geometry and Result Data
Material Data
Application Programming Interface
Future Directions of Standardization
PREDICTION OF EFFECTIVE PROPERTIES
Introduction
Homogenization of Materials with Periodic Microstructure
Homogenization of Materials with Random Microstructure
Postprocessing of Macroscale Results: the Localization Step
Dedicated Homogenization Model: Two-Level Radial Homogenization of Semicrystalline Thermoplastics
Virtual Material Testing
Tools for the Determination of Effective Properties
Examples
Conclusions
DISTRIBUTED SIMULATIONS
Motivation
The AixViPMaP¿¿Simulation Platform Architecture
Data Integration
Web-Based User Interface for the Simulation Platform
VISUALIZATION
Motivation
Standardized Postprocessing
Integrated Visualization
Data History Tracking
PART II: Applications
TEST CASE LINE PIPE
Introduction
Materials
Process
Experiments
Experimental Process Chain
Simulation Models and Results
Conclusion and Benefits
TEST CASE GEARING COMPONENT
Introduction
Materials
The Process Chain
Experimental Procedures and Results
Simulation Chain and Results
Conclusions
TEST CASE: TECHNICAL PLASTIC PARTS
Introduction
Material
Process Chain
Modeling of the Phenomena along the Process Chain
Implementation of the Virtual Process Chain
Experimental Methods
Results
Summary and Conclusion
TEXTILE-REINFORCED PISTON ROD
Introduction
Experimental Process Chain
Simulation Chain
Conclusion/Benefits
TEST CASE STAINLESS STEEL BEARING HOUSING
Introduction
Materials
Processes
Phenomena
Simulation Chain
Results
Conclusions/Benefits
FUTURE ICME
Imperative Steps
Lessons Learned
Future Directions
Closing Remark
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