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Thesis Work Prediction of Distortion due to Welding in Traction Converters

Alstom


Job Location:

Västerås - Sweden

Monthly Salary: Not provided by the employer
Posted: 24 September 2026 (9 days ago)
Application Deadline: 22 December 2026
Vacancies: 1 Vacancy

Job Summary

Req ID:530323

Prediction of Distortion due to Welding in Traction Converters

Alstom Västerås / RSC Traction Design -

At Alstom we understand transport networks and what moves people. From high-speed trains metros monorails and trams to turnkey systems services infrastructure signalling and digital mobility we offer our diverse customers the broadest portfolio in the industry. Every day more than 80 000 colleagues lead the way to greener and smarter mobility worldwide connecting cities as we reduce carbon and replace cars.

Background
Alstoms traction enclosures are made of welded connections. However conventional design methodologies often overlook or rely on empirical methods to assess the impact of welding on structural integrity. This has in some cases resulted in distortion or buckling of the thin-walled aluminum panels due to residual stress from welding. These issues have led to significant redesign efforts and increased overall production costs. To mitigate this it is essential to predict welding-induced distortions during the concept design phase thereby reducing the need for redesign later in the development process.

Problem description and goals
The thesis project aims to develop a finite element (FE) calculation method for predicting welding-induced distortion. This method integrates welding simulation with structural analysis. The computational approach will be validated through experimental measurements to ensure reliability. Ultimately the goal is to create a design tool that enables engineers to predict weld distortion early in the development process.

Activities

  1. Introduction to traction enclosure mechanical design.
  2. Understand Structural requirements of railway vehicle bodies e.g. EN 12663-1
  3. Read and understand the weld modelling methods recommended by literature and across different industries.
  4. Welding Simulation: Thermomechanical simulation to determine residual stresses to be used as loading for structural analysis. Input required : weld geometry and heat input in kJ/mm.
  5. Structural Analysis: Using stress distribution from welding simulation to determine the mode & magnitude of the deformation of the structure. This includes:
    1. Small deformation analysis: To scale the weld load from weld simulation to the structural analysis.
    2. Eigen value analysis: Estimate structures critical buckling load & distorted shape.
    3. Incremental large deformation analysis: Determine both critical buckling load and distortion magnitude accurately ( only for validating predictive method)
  6. Experimental measurements (if necessary): Blinding hole drilling method to measure residual stress distribution due to welding.
  7. Create a design tool to predict weld distortion.

Prerequisites: Background in Mechanical engineering understanding of structural design weld joint analysis familiarity with FEA tools. Good analytical skills and systems thinking mindset.


Type of degree project (can be both) Language for the thesis
Master (20 weeks): Swedish: and/or English:
Suggested number of students: 1
Bachelor/Högskoleingenjör (10 weeks):

Is Swedish a language requirement
Yes:
No:

No but Swedish is a requirement for future employment:



Possibility to work from our office

Yes:

No:

You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family youll be proud. If youre up for the challenge wed love to hear from you!

Important to note

As a global business were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.


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Leading the way to greener and smarter mobility worldwide, Alstom develops and markets integrated systems that provide the sustainable foundations for the future of transportation.

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