Context
CRM Group is a research centre specialised in metallic materials, developing processes and innovative solutions to support industry in circular economy, energy, digitalisation and advanced manufacturing.
As part of applied R&D projects in hot rolling, large volumes of process data were available, but their exploitation remained complex and time-consuming, limiting the rapid identification of parameters influencing process performance.
Challenge
- Difficulty in effectively exploiting complex datasets
- Dependence on analysis tools that are either inaccessible or too specialised
- Lack of clear visibility on parameters influencing the friction coefficient
Solution
Indao was used to import, clean and analyse data from the hot rolling process.
The platform enabled the rapid deployment of analytical models to identify and rank the parameters with the greatest impact on the friction coefficient, while ensuring strong interpretability of the results.
Results
- Identification and classification of the most influential parameters on the friction coefficient
- Improved overall understanding of the rolling process
- Fast access to advanced analytics without requiring programming skills
Testimonial
“Indao enabled us to quickly identify the most influential parameters in the hot rolling process and better control complex phenomena such as the friction coefficient. Data becomes rapidly usable and directly supports technical decision-making.”
- Gaétan Symens, Project Leader, CRM Group
