Cheng Yu

US Patent:

20210357555, Nov 18, 2021

Filed:

Sep 16, 2019

Appl. No.:

17/273438

Inventors:

- Evanston IL, US
Jiaying GAO - Evanston IL, US
Cheng YU - Evanston IL, US
Orion L. KAFKA - Enosburg VT, US

International Classification:

G06F 30/23
G06F 30/27

Abstract:

A method and system for design optimization and/or performance prediction of a material system includes generating a representation of the material system at a number of scales, the representation at a scale comprising microstructure volume elements (MVE) of building blocks of the material system at said scale; providing inputs to the MVEs; collecting data of response fields of the MVE computed from a material model of the material system over a predefined set of material properties and boundary conditions; applying machine learning to the collected data to generate clusters; computing an interaction tensor of interactions of each cluster with each of the other clusters; and solving an governing partial differential equation using the generated clusters and the computed interactions to result in a response prediction usable in an iterative scheme in a multiscale model for the material system. The performance of each scale can be predicted for design optimization.

US Patent:

20200089826, Mar 19, 2020

Filed:

Sep 16, 2019

Appl. No.:

16/571611

Inventors:

- Evanston IL, US
Jiaying Gao - Evanston IL, US
Cheng Yu - Evanston IL, US
Orion L. Kafka - Enosburg VT, US

International Classification:

G06F 17/50
G06T 17/20

Abstract:

Integrated process-structure-property modeling framework and method for design optimization and/or performance prediction of a material system are provided. The Integrated process-structure-property modeling framework includes a powder spreading model using a discrete element method to generate a powder bed; a thermal-fluid flow model of the powder melting process to predict voids and temperature profile; a cellular automaton model to simulate grain growth based on the temperature profile; and a reduced-order micromechanics model to predict mechanical properties and fatigue resistance of resultant structures by resolving the voids and grains.