About this Abstract |
Meeting |
1st World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2022)
|
Symposium
|
First World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2022)
|
Presentation Title |
AI/ML for Intelligent Design and Processing of Metal Castings |
Author(s) |
Jiten Shah |
On-Site Speaker (Planned) |
Jiten Shah |
Abstract Scope |
Metal casting design and manufacturing process has many variables and there is uncertainty involved. Author will present meta models developed using AI/ML for predicting properties and porosity utilizing historical production data and controlled experiments. The meta models can be used for a near real time intelligent processing of the castings in a production environment. The author will present the methodology and the framework utilizing a hybrid approach of physics based ICME simulation and the machine learning techniques with uncertainty quantification. Meta model driven design guidance tool for predicting the local properties in various section thickness will be presented. |
Proceedings Inclusion? |
Undecided |