The aim of the FHprofUnt project entitled "Automatic, robot-guided optical inspection of braided and laser-cut stents (InStent)" is to develop an automatic, robot-guided optical inspection system for laser-cut and braided stents. The tubular stents are constructed from a flexible grid framework. They are increasingly used in medicine to keep vessels open (blood vessels, but also airways and others) and must be manufactured to the highest quality. Undetected defects in stents can lead to considerable health problems for the wearer. An improved and automated test procedure is intended to minimize the possibility of test errors, to increase the quality of the test, and to reduce the burden on the testers by means of objective test technology. The challenge lies in the combination of
- Demanding to handle (robot guidance),
- innovative image processing hardware (especially for the inner surfaces of the stent) and
- automatic image evaluation with almost 100% detection rate and only low pseudo error rate.
During quality control, among other things, the geometry of the stents, the web width, the surface condition, constrictions, color changes, and cracks must be checked to ensure a flawless product. The braiding wire may already show signs of previous damage or may be damaged by the braiding process. The project work is carried out together with the Environmental Campus Birkenfeld, the Fraunhofer ITWM, and the company Joline. The main focus of the project work carried out at the Kaiserslautern University of Applied Sciences.
|Consortium||Hochschule Kaiserslautern University of Applied Sciences, Trier University of Applied Sciences (Environmental Campus Birkenfeld), Fraunhofer ITWM, JOLINE GmbH & Co. KG|
|Duration||01.10.2019 - 30.09.2022|
|Supported by||FHprofUnt 2018, project funding reference number: 13FH017PA8, 13FH017PB8, BMBF/416/PT-VDI/TZ-PTromotion of cooperative doctorates|
|Funding amount||Share of the Trier University of Applied Sciences: 360,000 €|
You are leaving the official website of Trier University of Applied Sciences