- You are an enthusiastic HBO/WO student with experience in programming, data cleaning, data analysing and data visualisation (R/Python/Matlab).
- You are looking for a challenging graduation or company internship for at least 3 months with the possibility to extend to 6 months.
- You are interested in metallurgical/chemical processes.
- You are results-driven and have an entrepreneurial mindset
- You thrive on working independently in a dynamic and complex organization.
What do we offer?
- A paid internship.
- A challenging and instructive internship with good supervision.
- Together with you, a clear assignment will be designed in advance, such that it meets the requirements of your college/university.
- You can gain valuable experience within a large organisation and the Netherland's only steel manufacturing industry.
- You can count on result-oriented organisation, in which you can make a concrete contribution to the realisation of improvement objectives.
- We offer the possibility to make use of our library services.
- You can sign up for 'In(terns) For Steel'. This is a group set up for trainees by trainees. They organise regular tours, lunch together once a week and there is a monthly get together.
What is your department?
The project will be conducted within Research and Development (R&D) Steelmaking & Casting Department of Tata Steel IJmuiden with great opportunities for networking and being closely involved in the future developments. We are looking forward to welcoming you in our office where we maintain an energetic, informal working atmosphere. You will get the equipment needed for your work.
- A paid internship.
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Internship OES-PDA data analysis - Velsen-Noord, Nederland - Tata Steel
Beschrijving
What's your job?
TATA steel IJmuiden produces boron manganese steel grades. During the production of these steel grades, one of the issues is the formation of non metallic inclusions which can lead to clogging of the Submerged Entry Nozzle (SEN) during casting. From the customer end, large inclusions are detrimental for the product performance. To overcome this issue, it is crucial to find an index for the inclusion formation, using the available data. Optical Emission Spectrometry with Pulse Discrimination Analysis (OES-PDA) is a characterization method used for the quantitative determination of major elements in the steel. With OES-PDA it is also possible to determine the concentration of various oxides/sulphides inclusions.
A set of OES-PDA data is available for these steel grades. You as an intern will asses the raw data to find an indication for the inclusion formation based on the differences between "good" and "bad" batches. The difference in the set of data has a relation to clogging and customer complains. In case an index is found, it can be implemend as an online tool to monitor the inclusion formation at the steel plant.
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