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Meeting 2018 TMS Annual Meeting & Exhibition
Symposium Computational Design and Simulation of Materials (CDSM 2018): Computational Design of Materials
Presentation Title Multiscale Modeling for Systematic Design of Metallic Microstructures to Provide Resistance to Fatigue and Wear
Author(s) Anssi Laukkanen, Tom Andersson, Matti Lindroos, Tatu Pinomaa
On-Site Speaker (Planned) Anssi Laukkanen
Abstract Scope Computation driven design, tailoring and optimization of material microstructures is crucial for addressing industry needs for competitive and innovative material solutions for operating environments requiring ever more extreme performances. In current work we present a microstructural modeling framework supporting these objectives in addition to computational strategies for exploitation in material discovery and design for particularly fitness and performance metrics. The toolset consist of means to merge and generate material structures utilizing both statistical and imaging data, modifying the subsequent material features systematically and exploiting evolutionary computing for new material designs. Two cases are studied, one focusing on fatigue of metal additive manufacturing materials, the other on wear resistance of martensitic steel microstructures. The results demonstrate how multiscale materials modeling is taking steps to systematically deliver novel and competitive material solutions addressing key industry needs.
Proceedings Inclusion? Planned: Supplemental Proceedings volume

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Building a Co Diffusion Mobility Database for γ/γ’ Co-Superalloys
Calphad-type Assessment of the Ni-Ti-Hf System Combined with the DFT Calculations
Computational Design and Simulation of Ultralow Modulus, Hysteresis-free, and Linear Pseudo-elastic Shape Memory Alloy
Computational Design of Metastable Austenite in the Advanced Transformation Induced Plasticity Steels
Computational Thermodynamic and Machine Learning Approach to Accelerate the Design of High-temperature Alloys
Computational Thermodynamics Aided Design of Co-based γ'-strengthened Superalloys
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Effect of Stability of Critical Phases in Nickel-based Superalloys: Combined Machine Learning and CALPHAD Approach
Error Analysis of Interdiffusion Coefficients from Diffusion Couple Experiments
ICME-Based Computational Materials Genomic Design
Investigation of Order-disorder Transition in Multi-principal-element Alloys
L-30: Diffusion Couple Experiments to Support the Development of a Diffusion Mobility Database for the Co-Al-W-Ni-Cr-Ta System
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Microstructure Evolution and Simulation in 22MnB5 Steel during Hot Stamping
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Modelling of Mechanical Behavior at High Strain Rate of TI-6AL-4V Manufactured by Means of Direct Metal Laser Sintering Technique
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Optimizing Elastic Moduli of the Silicate Glasses through High-throughput Atomistic Modeling and Machine Learning Techniques
Predicting Microstructural Evolution in Oxidation Resistant Coatings during Manufacturing and during Degradation in Service
Prediction of the Abrasive Wear Behaviour of Heat Treated Aluminium-clay Composites
Quantitative Defect Chemistry Analysis of (La1-xCax)yFeO3±δ Perovskite
Searching for Corrosion Resistant Mg Alloys Using Genetic Algorithms
SEGROcalc: A Software Tool for Integrated Computational Grain Boundary Engineering
Separation Oxide and Fluride and Sulfur Gases with Hydrogen in Aluminium Industry by Carbon Nano Tube (Monte Carlo Simulation)
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The Fundamental Thermodynamic Investigation on the Grade 91 Alloy
Theoretical Investigation of Vacancy Concentration and its Effect on the Kinetics of B2 – L21 Ordering in Ni-Co-Mn-In MetaMagnetic Shape Memory Alloys
Thermodynamic Database for Co-Al-W-Ni-Ti-Ta-Cr Based Superalloys
Thermodynamic Modeling with Uncertainty Quantification and its Implications for Additive Manufacturing
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