Internship/Thesis Optimizing Weld Quality and Efficiency
DIGI-STEEL is a start-up and member of the Voortman Steel Group, which is one of the market leaders for steel machinery. With DIGI-STEEL we introduce the first fully cloud-based software solution for steel processors. It is the next generation steel workshop management software guiding our customer’s factories into the smart industry 4.0 era.
What are you going to do?
In steel construction, the quality of welds is highly of importance for ensuring structural integrity, durability, and safety. The welding process, particularly for fillet welds, is pivotal in achieving these objectives. Fillet welds are extensively employed for joining steel components due to their practicality and strength. The focus of this master's thesis assignment is to study the welding process, with a focus on fillet welding, via developing a comprehensive methodology. At first, finite element models are developed for stress analysis of welding paths. By developing experimentally validated finite element models, we will simulate the welding process to calculate temperature gradients, cooling rates, and residual stresses due to thermal shrinkage. Temperature gradient and cooling rate are the main controlling factors for microstructure formation of the welded paths. Understanding the influence of these two parameters is crucial, as specific microstructures are known to contribute to enhanced mechanical properties and overall weld quality in structural engineering.
Finally, welding paths can be optimized, using this model, to be tailored explicitly for welder robots. Therefore, this research aims to address the complexities of fillet welding optimization by integrating numerical simulation, and experimental validation. To achieve these goals, the following research steps are considered.
- Literature Review: Explore prior research to understand welding path modeling and optimization methods and challenges;
- Problem Definition and Scope: Define the project's objectives and constraints, specifying the types of welds and steel structures to be considered;
- Data Collection and Weld Quality Metrics: Gather data on steel materials and welding parameters and establish quantitative measures for weld quality;
- Numerical Modeling: Develop finite element models to simulate welding processes, analyzing temperature gradients, cooling rates and stresses;
- Welding Path Optimization Algorithm: Create an algorithm to optimize paths for accessibility and weld quality, considering robot capabilities;
- Software Integration (if applicable): If relevant, integrate the optimization algorithm into DIGI-STEEL software.
We offer
- An internship/graduation allowance of €600,- per month;
- An experienced supervisor from Voortman;
- High-quality equipment and materials you need to do your job well;
- Whether you are an intern or graduate; You will become a full member of our team. We consider that very important;
- A very instructive internship or graduation period at our innovative organisation;
- All the freedom and responsibility you need to successfully complete your assignment.
We are looking for
This problem has many aspects that need to be tackled that can be interesting to different study directions:
- Msc Applied Mathematics;
- Msc Applied Physics;
- Msc Mechanical Engineering.
APPLICATION PROCESS
WORKING FOR VOORTMAN STEEL MACHINERY
Seeing ideas become a reality: it sounds nice but it really does happen at Voortman. And these are ground-breaking ideas. We make the most innovative machinery and product lines for the steel construction and plate-processing industry and offer the most comprehensive service. For customers around the world. Going through the process with a customer to arrive at a production line that integrates seamlessly into his process. Regardless of how often we do it, it is special each time and provides a great deal of satisfaction.