| About this Abstract |
| Meeting |
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Symposium
|
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Presentation Title |
A Digital Engineering Framework to Enable the Incorporation of Material Pedigree and Dtate Information into the Product Design Cycle |
| Author(s) |
Saikiran Gopalakrishnan, Nathan W. Hartman, Michael D. Sangid |
| On-Site Speaker (Planned) |
Saikiran Gopalakrishnan |
| Abstract Scope |
In ICME, a collection of computational material models can be used for cost-effective design of components. The usage of material models with reduced uncertainties relies on constantly refining and updating the models with crucial inputs of the material pedigree and current state information. For efficiently accessing material datasets applicable to a component, we propose a model-based feature information network (MFIN) framework to create and use contextual linkages between digitally stored datasets and spatial locations within a component’s computer-aided design model. We demonstrate a use case of linear friction welded compressor bladed-disk component made of Ti-6Al-4V. By capturing the location-specific microstructures and residual stress distributions within the weld region, the MFIN framework is illustrated for retrieving and utilizing this information within a damage tolerance analysis. The MFIN framework presents opportunities to reduce uncertainties in analysis of a component by enabling the use of precise material information within physics-based models. |
| Proceedings Inclusion? |
Definite: Other |