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Completed PROJECT GRANT Swedish Research Council

Vehicledesign to reduce weight material and C02

4.17M kr SEK

Funder Vinnova
Recipient Organization Unknown
Country Sweden
Start Date Aug 20, 2024
End Date Apr 30, 2025
Duration 253 days
Number of Grantees 2
Roles Principal Investigator
Data Source Swedish Research Council
Grant ID 2024-01950_Vinnova
Grant Description

Purpose and goal:

The primary goal is to adapt the STILFOLD technology to create a new concept for an existing car part made from multiple steel sheets in different shapes and sizes. This method meets the industry´s need for sustainable and economically profitable production methods. The STILFOLD technology, inspired by industrial origami, reduces energy consumption and material use, which lowers costs and reduces environmental impact.

The technology also potentially improves the strength and durability of the components, as well as simplifying the manufacturing process. Expected results and effects:

The concrete deliverables of the project include a report, analyses, documented test and validation results, a functional prototype, a fully integrated demonstrator and a final presentation. These deliverables ensure thorough documentation, validation and demonstration of the benefits of STILFOLD technology in automotive manufacturing. This project aims to reduce the weight, material use and carbon dioxide emissions of car parts, in line with the industry´s growing focus on cost efficiency and environmental impact.

Approach and implementation:

The project includes extensive technical documentation, including preliminary plans, CAD drawings, material use analysis and environmental assessment. An analysis report compares traditional and the STILFOLD method. Testing and validation is done with prototype tests and durability tests. A functional prototype development is tested and evaluated. Finally, the project results at FFI and Volvo Cars-evenemang are presented, with strategic recommendations for future implementation and research.

All Grantees

Unknown

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