Case study – Expert support in industrialization and reliability of R&D
Sector: Energy
Type of client: Start-up in industrialization
Contact departments: R&D / Industrialization
The Customer is in the process of industrializing a technology in the field of energy, involving a formulation with complex behaviors, and in the process of setting up an industrial site. It calls on RHEONIS to (1) improve its R&D methods and cross-interpretation of data between rheometry and other advanced techniques to make its formulation processes more reliable (2) to benefit from operational recommendations for the choice of certain critical process equipment.
Tailor-made expert support combining product, materials, processes and methods
The expert support provided by the technical director of RHEONIS focused on various aspects of interest to the customer:
- State of the art complementary to that carried out by the Client and critical analysis
- Operational sessions on customer site in experimental support for the adjustment of experimental protocols and support for interpretation
- Search for technical options and analysis of leads submitted by the Client
- Production of advisory report and operational recommendations
Make the interface between R&D and industrialization more reliable
For a start-up engaged in large-scale industrialization for a high-potential technology, it is a question of going quickly while making developments more reliable. The dynamic of a rapidly growing organization is accompanied by a certain urgency in decision-making and certain difficulties in the capitalization and internal dissemination of knowledge. RHEONIS came to bring a rare cross-functional expertise and experience providing the Client with stable support in the progress of its developments.
Expertise in making the R&D/industrialization interface more reliable
Expert scientific skills in complex substances and interactions with processes and application
Methodological expertise of experimental techniques, interpretation of data with regard to the industrial context and cross-exploitation of data
Industrial experience of thermomechanical process issues
Decision support methodology
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Last Updated on January 26, 2023 by Vincent Billot