ZEISS is entering into a cooperation with BORG Automotive, one of Europe’s leading independent remanufacturers of automotive parts. Researchers at the ZEISS Innovation Hub will be working closely with BORG Automotive developers and production engineers on this over the next twelve months. The project will focus on researching and implementing new visual and automated solutions for modern remanufacturing processes that enable an even better component quality, performance and service life.
By remanufacturing used components, waste can be reduced and, at the same time, the resources and emissions that would have been required to manufacture new components can be saved. “After remanufacturing, used parts have the same functionality, safety and reliability as new parts. We would like to develop processes with BORG Automotive that will allow us to base even more reliable future predictions about the life of remanufactured parts on measurements and models,” says Max Riedel, Head of the ZEISS Innovation Hub adding, “We are delighted to have found a cooperation partner in BORG Automotive that combines many years of practical experience with openness to exploration and innovation.”
“Testing components in the remanufacturing process is one of the most important steps in determining which components can be reused – it defines the lifespan and quality of the product. Our ambition is to use automated systems in the processes increase process efficiency and further improve quality standards. We are excited to share our remanufacturing experience with ZEISS and to be part of the transformation of this industry,” says Grzegorz Pawłowski, Group Technology Director at BORG Automotive.
Intelligent Sensor Systems
At the Zeiss Innovation Hub in Karlsruhe Germany the company is working on intelligent sensor systems that will enable the circular economy of the future. The Hub is contributing to re-manufacturing solutions for automatic disassembly, inspection and reprocessing by developing multi-sensor detection technologies including spectroscopy, camera vision, and chemical tracing to deliver intelligent process automation.