Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Digital pilot for optimization of product properties

Reference number
Coordinator Swerea IVF AB - Swerea IVF AB, Mölndal
Funding from Vinnova SEK 1 500 000
Project duration March 2017 - March 2018
Status Completed

Purpose and goal

The project has fulfilled its purpose and objectives. Completed case studies show that stated expectations for industrial feasibility have been met. In this project, lead time in a customer dialogue has been significantly reduced by using digital tools, partially developed in this project. Product developers can explore a solution space faster, risks become lower, products can be optimized and participating companies can easily implement optimization tools in their daily work.

Expected results and effects

Expected effects that have been met: Lamera: The lead time for designing a sandwich material has been shortened. Husqvarna: Calculation models for optimizing a laminate design of carbon fiber, metal and adhesive have been developed and tested with good results. This has become the starting point for introducing these methods in other areas of the company GKN: The result of the project is part of a multi-objective optimization system of airplane engines. With the system, GKN can conduct a customer dialogue and in real time and show how design decisions affect the overall product design

Planned approach and implementation

The project has been run as three industrial cases. This model has worked well, primarily to get industrial anchoring and implementation in industry. One problem, however, has been the availability of the right expertise in the research organizations. These resources have been heavily utilized in this and other projects. However, the implementation of the practical cases worked well thanks to the extension of the project´s duration.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 25 November 2019

Reference number 2017-01542

Page statistics