PREDICT

COMPLETED

Vinnova FFI · Grant 2020-02986

Prediction of strain and fracture for complex load cases in sheet metal forming (Prediktion av försträckning och brott för komplexa lastfall inom plåtformning). A Vinnova FFI project (2020–2023) developing advanced material models, calibration techniques, and AI-based process adjustment to predict and prevent forming failures including edge cracks, necking, and springback in DP-steels and aluminium alloys. The project brings together 7 Swedish partners from industry and research.

Programme Vinnova FFI — Strategic Vehicle Research and Innovation
Total Budget SEK 13,264,800 (grant SEK 6,498,000)
Duration Nov 2020 – Dec 2023 (3 years)
Coordinator Blekinge Tekniska Högskola (BTH), Sweden
Project Manager Md Shafiqul Islam

Research Areas

Area 1
FE-Modelling & Material Models

Development of advanced simulation capabilities and calibration techniques for improved failure prediction accuracy.

Area 2
Material Testing & Edge Ductility

Robust test methods for edge crack testing, trim edge quality assessment, and material characterisation of DP-steels and aluminium.

Area 3
Failure Prediction & AI

AI-based process parameter prediction and adjustment to prevent forming failures. SHAP-based explainability for model decisions.

Area 4
Industry Implementation

Practical application with automotive partners. Lightweight material introduction support and production problem-solving.

Key Challenges Addressed

  • Edge fractures in DP-steels and AA6XXX aluminium alloys
  • Failure prediction with non-linear strain paths
  • Small radius formability across all material grades
  • Non-uniform sheet thickness effects
  • Strain rate dependencies in forming operations
  • Fast-track introduction of new lightweight materials

Consortium Partners

Research Publications

View all publications, conference papers, and demo videos on the Research page.

Data Access

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