Genomic Materials Design: CALculation of PHAse Dynamics

05/08/2023
by   G. B Olson, et al.
0

The CALPHAD system of fundamental phase-level databases, now known as the Materials Genome, has enabled a mature technology of computational materials design and qualification that has already met the acceleration goals of the national Materials Genome Initiative. As first commercialized by QuesTek Innovations, the methodology combines efficient genomic-level parametric design of new material composition and process specifications with multidisciplinary simulation-based forecasting of manufacturing variation, integrating efficient uncertainty management. Recent projects demonstrated under the multi-institutional CHiMaD Design Center notably include novel alloys designed specifically for the new technology of additive manufacturing. With the proven success of the CALPHAD-based Materials Genome technology, current university research emphasizes new methodologies for affordable accelerated expansion of more accurate CALPHAD databases. Rapid adoption of these new capabilities by US apex corporations has compressed the materials design and development cycle to under 2 years, enabling a new "materials concurrency" integrated into a new level of concurrent engineering supporting an unprecedented level of manufacturing innovation.

READ FULL TEXT

page 4

page 8

page 11

page 18

page 20

page 22

page 29

page 33

research
06/13/2020

An Ontology for the Materials Design Domain

In the materials design domain, much of the data from materials calculat...
research
03/02/2021

Material Measurement Units: Foundations Through a Survey

Long-term availability of minerals and industrial materials is a necessa...
research
06/15/2019

Designing, 3D Printing of a Quadruped Robot and Choice of Materials for Fabrication

Purpose-This paper is based on design of a quadruped robot and manufactu...
research
07/29/2020

SimuLearn: Fast and Accurate Simulator to Support Morphing Materials Design and Workflows

Morphing materials allow us to create new modalities of interaction and ...
research
06/13/2020

Predictive modeling approaches in laser-based material processing

Predictive modelling represents an emerging field that combines existing...
research
01/14/2023

Diatom-inspired architected materials using language-based deep learning: Perception, transformation and manufacturing

Learning from nature has been a quest of humanity for millennia. While t...
research
01/17/2019

Evolving embodied intelligence from materials to machines

Natural lifeforms specialise to their environmental niches across many l...

Please sign up or login with your details

Forgot password? Click here to reset