Feasibility study - Material Property Characterization Platform
| Reference number | |
| Coordinator | SWERIM AB |
| Funding from Vinnova | SEK 900 000 |
| Project duration | November 2024 - June 2025 |
| Status | Ongoing |
| Venture | Impact Innovation Metals & Minerals - Program-specific efforts Vinnova |
| Call | Impact Innovation: Feasibility studies within Technological Action Areas in the program Metals & Minerals |
Purpose and goal
This feasibility study will lay the foundation for an AI-based material characterization platform by finding the best possible method for a full-scale project that can provide us with a possible AI solution for predicting mechanical properties. In addition, the feasibility study shall evaluate available data for material property prediction and recommend a possible data structure for the full-scale project.
Expected effects and result
The long-term goal of this project is to develop an AI-based material characterization platform to characterize the mechanical material properties of metal alloys based on their alloying elements and the production processes. This could for the automotive industry be a hot or cold rolled sheet that later in the process is press-hardened, heat treated and welded.
Planned approach and implementation
The project will be executed in five work packages, each contributing to the overall goal of developing an AI-based material characterization platform. WP1 - Definition of materials and properties in the feasibility study; WP2 – Data structure and availability; WP3 – AI model for property prediction; WP4 – Material testing and validation and WP5 – Project management.