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Proceedings of the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017)

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Table of Contents

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    Book Overview
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    Chapter 1 An Attempt to Integrate Software Tools at Microscale and Above Towards an ICME Approach for Heat Treatment of a DP Steel Gear with Reduced Distortion
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    Chapter 2 Integrated Microstructure Based Modelling of Process-Chain for Cold Rolled Dual Phase Steels
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    Chapter 3 Improving Manufacturing Quality Using Integrated Computational Materials Engineering
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    Chapter 4 ICME Based Hierarchical Design Using Composite Materials for Automotive Structures
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    Chapter 5 Towards Bridging the Data Exchange Gap Between Atomistic Simulation and Larger Scale Models
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    Chapter 6 A Flowchart Scheme for Information Retrieval in ICME Settings
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    Chapter 7 An Ontological Framework for Integrated Computational Materials Engineering
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    Chapter 8 European Materials Modelling Council
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    Chapter 9 Facilitating ICME Through Platformization
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    Chapter 10 Bridging the Gap Between Bulk Properties and Confined Behavior Using Finite Element Analysis
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    Chapter 11 Ontology Dedicated to Knowledge-Driven Optimization for ICME Approach
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    Chapter 12 Integration of Experiments and Simulations to Build Material Big-Data
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    Chapter 13 ICME-Based Process and Alloy Design for Vacuum Carburized Steel Components with High Potential of Reduced Distortion
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    Chapter 14 Study of Transient Behavior of Slag Layer in Bottom Purged Ladle: A CFD Approach
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    Chapter 15 Developing Cemented Carbides Through ICME
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    Chapter 16 CSUDDCC2: An Updated Diffusion Database for Cemented Carbides
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    Chapter 17 Multi-scale Modeling of Quasi-directional Solidification of a Cast Si-Rich Eutectic Alloy
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    Chapter 18 Numerical Simulation of Macrosegregation in a 535 Tons Steel Ingot with a Multicomponent-Multiphase Model
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    Chapter 19 Validation of CAFE Model with Experimental Macroscopic Grain Structures in a 36-Ton Steel Ingot
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    Chapter 20 Analysis of Localized Plastic Strain in Heterogeneous Cast Iron Microstructures Using 3D Finite Element Simulations
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    Chapter 21 An Integrated Solidification and Heat Treatment Model for Predicting Mechanical Properties of Cast Aluminum Alloy Component
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    Chapter 22 Linked Heat Treatment and Bending Simulation of Aluminium Tailored Heat Treated Profiles
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    Chapter 23 Numerical Simulation of Meso-Micro Structure in Ni-Based Superalloy During Liquid Metal Cooling Process
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    Chapter 24 Multiscale Simulation of α-Mg Dendrite Growth via 3D Phase Field Modeling and Ab Initio First Principle Calculations
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    Chapter 25 Macro- and Micro-Simulation and Experiment Study on Microstructure and Mechanical Properties of Squeeze Casting Wheel of Magnesium Alloy
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    Chapter 26 Solidification Simulation of Fe–Cr–Ni–Mo–C Duplex Stainless Steel Using CALPHAD-Coupled Multi-phase Field Model with Finite Interface Dissipation
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    Chapter 27 Phase-Field Modeling of θ′ Precipitation Kinetics in W319 Alloys
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    Chapter 28 Hybrid Hierarchical Model for Damage and Fracture Analysis in Heterogeneous Material
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    Chapter 29 Fatigue Performance Prediction of Structural Materials by Multi-scale Modeling and Machine Learning
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    Chapter 30 Nano Simulation Study of Mechanical Property Parameter for Microstructure-Based Multiscale Simulation
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    Chapter 31 Multiscale, Coupled Chemo-mechanical Modeling of Bainitic Transformation During Press Hardening
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    Chapter 32 Development of Microstructure-Based Multiscale Simulation Process for Hot Rolling of Duplex Stainless Steel
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    Chapter 33 A Decision-Based Design Method to Explore the Solution Space for Microstructure After Cooling Stage to Realize the End Mechanical Properties of Hot Rolled Product
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    Chapter 34 Influence of Computational Grid and Deposit Volume on Residual Stress and Distortion Prediction Accuracy for Additive Manufacturing Modeling
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Proceedings of the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017)
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-57864-4
978-3-31-957863-7, 978-3-31-957864-4

Mason Paul, Fisher Charles R., Glamm Ryan, Manuel Michele V., Schmitz Georg J., Singh Amarendra K., Strachan Alejandro

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Researcher 3 9%
Professor 1 3%
Student > Postgraduate 1 3%
Other 1 3%
Other 2 6%
Unknown 21 62%
Readers by discipline Count As %
Engineering 6 18%
Materials Science 3 9%
Unspecified 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 21 62%