WO Graduate Internship Reducing Energy Consumption and CO2 Emissions

Wat ga je doen?

Tata Steel in the Netherlands (TSN) is committed to reduce its CO2 emissions with 35 - 40% by 2030 and being CO2-neutral by 2045. Therefore, projects to achieve more (energy) efficient production, monitor the process and increase the quality will lead to a major effective steelmaking and assist TSN in reaching its emission targets.

Steel production is a complex and energy-intensive process. Applying advanced digital tools can support the optimization of the entire production route by enabling better and faster decision-making, improving installation performance and increasing energy efficiency.

One of the production steps susceptible to significant energy losses, involves the transport of molten iron (pig iron) in so-called torpedo ladle cars. A digital twin with an artificial intelligence system can enhance multifactorial analysis, allowing energy efficiency improvement in the pig iron transport. A digital twin is a virtual representation of a physical object. The twin can be based on historical production data, sensor information, simulation models, or a combination of them. A digital twin based on so-called reduced order modeling (ROM) can be used to simulate the thermal state of the torpedo car and thus its energy losses. ROM is a technique to reduce the computation complexity of, e.g., finite element models (FEM). It significantly reduces the computation time while preserving the accuracy.

This research internship aims to develop a ROM-based digital twin to simulate the thermal management of torpedo ladle cars and applying advanced digital tools to select the most energetically favourable torpedo car. The research activities in this assignment include:

• Develop a ROM for the torpedo using available FEM simulation data, e.g. via physics-based machine learning in Python
• Develop in Python a digital twin based on the ROM
• Validate model with FEM simulations and compare against commercially available digital twin software
• Write report with conclusions on feasibility

Herken jij jezelf hierin?

• You are a MSC student in Computer Science, Mechanical Engineering, Material Science, Physics, Applied Mathematics.
• You are looking for a graduate internship.

The assignment is intended for an internship of nine months.

Wat bieden wij jou?

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".

Wat is jouw werkomgeving?

The project will be conducted within R&D department of Tata Steel Ijmuiden with great opportunities for networking and being closely involved in the future developments. On a daily base you will working in the R&D innovation centre office, surrounded with other students and colleaguas with different kinds of know-how.

Solliciteren of meer weten?

Is this the assignment for you? Please apply directly via the application button below, don’t forget to upload your motivation letter. If you have any questions or want to have more information first? Please contact our Campus Recruiter Jessie Koopman : jessie.a.koopman@tatasteeleurope.com (Phone +31 (6)53375958