30 hp Master Thesis: PhysicsAI versus Design of Experiments

Manufacturing & Production · Production & Assembly · Manufacturing Engineering

In short

This 30 hp Master Thesis project focuses on comparing PhysicsAI (utilizing geometric deep learning) with Design of Experiments (DOE) for optimizing fan installations. The work involves training AI models, running simulations using STAR-CCM+ on high-performance computing clusters in both Windows and Linux environments, and evaluating the performance of the fan installation against traditional DOE methods.

Responsibilities

Train and evaluate AI models for design optimization.
Compare AI performance against traditional DOE and adjoint-based optimization.
Optimize a fan installation using geometric deep learning in PhysicsAI.
Evaluate the methodology and performance of the fan installation.
Run CFD simulations through STAR-CCM+.
Work in both Windows and Linux environments.
Utilize high-performance computing clusters.

Requirements

Final year pursuing a master's degree in Mechanical/Aerospace Engineering or equivalent.
Specialization in Fluid Dynamics.
Experience with computer cluster environments and Linux interface.
Experience with unsteady state simulations.
Exposure to scripting simulation workflow.
Genuine interest in CFD.

Desired Qualifications

Knowledge in STAR-CCM+ is beneficial.
Knowledge in Python is beneficial.

Benefits

Opportunity to develop engineering skills.
Learn about Scania's work culture.
Showcase abilities and talents over 20 weeks of thesis work.
Significant exposure to the vehicle development process.

Skills

PythonCFDSTAR-CCM+LinuxAIMachine Learning

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About Scania Group

Scania is a world-leading provider of transport solutions committed to a better tomorrow. Our purpose is to drive the shift towards a sustainable transport system. In doing so, we are creating a world of mobility that’s better for business, society and our environment. Employing more than 50,000 people in about 100 countries, Scania’s research and development is concentrated in Sweden, while production takes place in Europe and South America.

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