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Master internship in the field of exact sciences or engineering such as Physics, Mathematics, Computer Science, Electrical Engineering
One of the key processes in steel making is hot strip rolling. At Hot Strip Mill 2 in IJmuiden steel slabs with a length of 10 m and a thickness of 20 cm, weighing over 20 tons, are heated up to a temperature of 1200 ºC. Along a trajectory of about half a kilometre they rolled in consecutive steps into strips of up to more than 1000 m long and 2 mm thin.
The final reduction steps, where a strips can reach a speed over 20 m/s, are very critical. Errors in the operation of the installation can lead to defects in the shape of the strip (see figure) and in the worst case also to damage to the rolls of the mill.
You will be working on the detection of shape defects. The challenge is to develop software tools to detect certain shape defects as accurately as possible. Such tools may enable pinpointing the actual cause of such defects and finally preventing them
You are a Msc student in a field of exact sciences or engineering such as Physics, Mathematics, Computer Science, Electrical Engineering, Mechanical Engineering or Aerospace Engineering. You have hands-on experience with MATLAB and you are familiar with Fourier analysis. You are ambitious and result driven. You like to tackle complex problems and enjoy converting abstract ideas into practical solutions. You want to experience what it is like to work in an industrial R&D environment.
At the start of the assignment you have to become familiar with existing algorithms to detect shape errors from images of the strip surface. Next you will need to specify how you will convert an such an abstract algorithm into MATLAB code and create a basic application that can actually be used to detect shape defects in strip images coming directly from the inspection systems of Hot Strip Mill 2. In the final stage of your assignment you will get the opportunity to set your own direction. Depending on your skills you can for example enhance the MATLAB code, compare alternative approaches for detecting shape defects or actually start analysing more data. The ultimate goal would be to create a standard tool for the group based on the best available approach to detect certain shape defects, validated for a large number of strips.
During your assignment you will join one of the group project teams and you will be coached by one of our researchers. Of course you will also visit one of our most impressive installations.
We offer you a paid internship with proper guidance. In consultation with you, we start with drawing up your assignment to make sure that it fits the requirements of your university. You can gain valuable experience within a large organization and Dutch only manufacturing industry. You can count on a no-nonsense and result-oriented organization, within which you can make a concrete contribution to the realisation of improvement objectives.
During your training period you can regularly participate in events such as student tours and lunch lectures. We also offer the possibility to make use of our Library Services. When you are in your final Master of Bachelor internship, you can temporarily become part of our internal Association for young professionals "The Magnet".
Tata Steel Global Research & Development (R&D) is a multisite business employing around 750 employees within its five core technology centres: IJmuiden in the Netherlands; Rotherham Teesside and Warwick in the United Kingdom and Jamshedphur in India. The department combines top class innovation with cutting edge technology in order to deliver steel solutions in a constantly changing world. We use the best technologies to continuously improve the quality and performance of our steel products. Moreover we work in close cooperation with leading research institutes and universities around the world as well as with key customers in the automotive transport packaging and construction areas.
Is this the assignment for you? Please apply directly via the application button below, don’t forget to upload your motivation letter.
Technology / Industry
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