inpro has an extensive network of highly competent partners in science and industry.
We participate in publicly funded collaborative research projects with partners from science and industry, and this allows us to build new competencies and provides valuable stimuli for inpro’s innovation work. Why not work with us and become our cooperation partner?
inpro has been or is involved in the following projects:
This EU project aims at a breakthrough in modeling of Advanced High Strength Steels (AHSS). These steels are increasingly being used within the automotive industry but have a challenging forming behavior. An extremely fast crystal plasticity code will be used to derive macroscopically observable anisotropic plastic properties from complex 3D artificial multi-phase microstructures. This will be directly coupled to efficient Multi-Scale code, leading to numerically very efficient state-of-the-art models for forming processes of dual-phase steels. The resultant multi-scale material model will be demonstrated for realistic microstructures in an industrial FE-Code to predict product properties after forming of a large automotive part.
Development of an open platform for cross-company and multi-vendor, cooperative engineering.
Language of control technology for Industry 4.0
Development of laser-based joining technologies for dissimilar lightweight construction
Collaborative project: resource-efficient hybrid construction for lightweight car bodies
Collaborative project: manufacturing and recycling strategies for electro mobility for recycling of lightweight structures in fibre-reinforced plastic hybrid construction
Collaborative project: integral production of hybrid lightweight sandwich structures in particle foam composite moulding for high volumes
In the research project PROLEI, construction methods with plastic-metal hybrid composites are qualified for industrial series production.
Design methods for automation systems with model integration and automatic option evaluation
Intelligent laser and arc systems with integrated process knowledge and intuitive operation