Master Thesis: CFD Modelling of Flow Around a Turbine Blade Tip

Siemens Energy, Inc.

Östergötlands län

On-site

SEK 180,000 - 240,000

Full time

14 days+

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Job summary

Siemens Energy invites a Master Thesis candidate to explore CFD modelling of the flow around a turbine blade tip. You will define models, run simulations, and validate results with reference data in an industrial gas-turbine setting.

The project emphasizes developing a robust methodology, sensitivity analysis, and practical guidance for blade-tip analyses for future use.

Qualifications

  • Pursuing a master’s degree in Mechanical Engineering, Aerospace Engineering, Energy Engineering, Engineering Physics, or a related field.
  • Solid foundation in fluid mechanics and an interest in turbomachinery, aerodynamics, heat transfer, or numerical simulation.
  • Experience with CFD or strong motivation to develop CFD skills during the thesis.
  • Analytical mindset and systematic approach to technical problems.
  • Ability to communicate technical results clearly in written and spoken English.
  • Thesis may be carried out by one student or jointly by two students.

Responsibilities

  • Review blade-tip flow physics, modelling approaches, and reference material.
  • Define a CFD model for blade-tip flow and the tip-clearance region.
  • Assess how modelling choices and numerical settings influence the predicted flow and key quantities.
  • Compare simulation results with reference data to validate the methodology.
  • Document the modelling approach, limitations, and applicable conditions.
  • Present results and provide recommendations for continued development and future use.

Skills

Fluid mechanics
CFD
Analytical problem solving
English communication

Education

Master's degree in Mechanical Engineering
Aerospace Engineering
Energy Engineering
Engineering Physics

Job description

Trade Union Representatives:

Unionen: unionen.finspang.se@siemens-energy.com

Sveriges Ingenjörer & SACO: asi.se@siemens-energy.com

Ledarna: Anders Fors, ledarnaklubbenseab@siemens-energy.com

IF Metall: Mikael Malmgren, mikael.malmgren@siemens-energy.com

Master Thesis: CFD Modelling of Flow Around a Turbine Blade Tip
A Snapshot of Your Day

In this master thesis, you will investigate the complex flow around a turbine blade tip using computational fluid dynamics (CFD). The aim is to establish a robust modelling approach that can reliably capture the relevant blade-tip flow phenomena and support future engineering assessments. You will work in close collaboration with specialists in turbine heat transfer, fluid dynamics, and numerical simulation. The assignment combines method development, CFD analysis, validation, and engineering interpretation in an industrial gas-turbine environment.

How You’ll Make An Impact
  • Review relevant blade-tip flow physics, modelling approaches, and available reference material.
  • Define an appropriate CFD model for the flow around the blade tip and through the tip-clearance region.
  • Assess how modelling choices and numerical settings influence the predicted flow field and key engineering quantities.
  • Compare simulation results with available reference data to evaluate and validate the methodology.
  • Document the recommended modelling approach, its limitations, and the conditions under which it can be applied.
  • Present the results and provide recommendations for continued development and future use.
What You Bring
  • You are studying for a master’s degree in Mechanical Engineering, Aerospace Engineering, Energy Engineering, Engineering Physics, or a related field.
  • You have a solid foundation in fluid mechanics and an interest in turbomachinery, aerodynamics, heat transfer, or numerical simulation.
  • You have experience with CFD, or a strong motivation to develop your CFD skills during the thesis.
  • You approach technical problems analytically and work in a structured and systematic way.
  • You can communicate technical results clearly in written and spoken English.
  • The thesis may be carried out by one student or jointly by two students.
Expected outcome

The thesis is expected to deliver a documented and validated CFD methodology for modelling the flow around the blade tip. The work should clarify the sensitivity of the results to important modelling choices and provide practical guidance for future blade‑tip analyses.

About The Team

You will join a collaborative team of engineers and specialists working with gas‑turbine heat transfer, fluid dynamics, and CFD. You will receive technical guidance throughout the thesis while contributing to a relevant industrial challenge linked to turbine performance, durability, and efficiency.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With approximately 100,000 dedicated employees in over 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the foundation for one‑sixth of the world’s electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150‑year legacy of innovation that encourages our search for individuals who will support our focus on decarbonization, new technologies, and energy transformation.

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character—no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Trade Union Representatives:

Unionen: unionen.finspang.se@siemens-energy.com

Sveriges Ingenjörer & SACO: asi.se@siemens-energy.com

Ledarna: Anders Fors, ledarnaklubbenseab@siemens-energy.com

IF Metall: Mikael Malmgren, mikael.malmgren@siemens-energy.com

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