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.

Digitalization of steel heat treatment process

Reference number
Coordinator Ferritico AB
Funding from Vinnova SEK 1 397 000
Project duration November 2020 - November 2022
Status Ongoing
Venture Strategic innovation programme for process industrial IT and automation – PiiA
Call PiiA: Digitalization of industrial value chains, spring 2020

Purpose and goal

The aim of the project is to reduce the need for extensive experimental testing in heat treatment of steel and contribute to the transition to an efficient, digital and data-driven working method, which means reduced costs and lead times for the development and manufacture of steel.

Expected results and effects

The project enables steel developers and manufacturers to further optimize their products based on the intended area of use. The lifespan and function of the products in the final application can thus be improved with a more sustainable and competitive industry as a result.

Planned approach and implementation

The project develops two machine learning-based modules for prediction of process parameters in heat treatment. The basis for the development is a market analysis based on quantitative and qualitative studies of the industry´s need for prediction software for the heat treatment process.

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

Last updated 1 June 2021

Reference number 2020-02850

Page statistics