SMF ECO2: Tool for detection of eco design potential

Important results from the project

Yovinn in previous project developed a prototype of a tool that can be used to find articles suitable for additive manufacturing. This follow-up project examines how the tool can be generalized to other areas of expertise relevant to the sustainable transformation of the automotive industry. With higher functional requirements for the tool and the underlying machine learning algorithms, the project encounters difficulties in reaching the technical conditions. This leads to the project being forced to a more technical focus than planned.

Expected long term effects

The project has led to important insights for further development of the tool. New knowledge and conditions for AI development as well as insights into how the tool can be adapted to new applications based on needs in eco-design. The hope is that the tool can have a great effect in the long run by automating time-saving steps in vehicle development and sustainable transformation.

Approach and implementation

The project begins with an outward-looking phase where a one minute video is created to create interest in the project. A digital workshop is tested and meetings with potential clients are carried out. In the subsequent phase, a prototype for the digital tool is developed. This phase is being extended due to unexpected technical challenges. Continuation of the project where the digital tool is evaluated with clients is planned until after the end of the project, alternatively in a follow-up project.