Master thesis: Automated Multi-Objective Component Optimization Guided by MBSE System Models

The Institute for Machine Elements and Systems Engineering (MSE) conducts interdisciplinary research on a broad spectrum of current and future industry‑relevant topics. MSE’s ‘Systems Engineering – Design Methodology’ department focuses on Model‑Based Systems Engineering (MBSE) to connect engineering information across disciplines, improve traceability and help us develop better products.

Developing better products often requires components to be optimized with respect to multiple objectives (e.g. cost, performance, mass…). However, the relevant optimization objectives, parameters, and constraints are often defined manually. At the same time, much of this information may already be available in an MBSE system model.

In this thesis, you will address this exciting research opportunity by developing a suitable system model and a consistent workflow for MBSE‑guided component optimization. To achieve this, you will integrate CAD, FEM, or analytical models while also considering manufacturing processes. You are welcome to bring your own expertise and combine them with our core competencies at MSE to enable a more automated and traceable design‑optimization process.

Possible tasks include:

• Definition of a specific use case (e.g. analytical optimization of machine elements or FEM topology optimization of 3D‑printed components) based on your interests.
• Definition of the optimization problem including goals, constraints and design variables.
• Literature review of suitable optimization methodologies.
• Development of a suitable system model.
• Connection of the system model to the optimization environment.
• Execution of an MBSE‑guided component optimization study.

Your profile:

• Independent, structured and reliable way of working.
• Interest in numerical simulation and systems engineering.
• Experience with MBSE is a plus.

What we offer:

• A flexible thesis focus, regarding your personal interests.
• Structured onboarding materials for MBSE.
• Close and Intensive supervision throughout the thesis.
• Flexible start date.
• Comfortable air‑conditioned offices as well as possibility of remote work.
• Excellent working atmosphere.

We look forward to your application by email:

Yujing (Duoduo) Feng, M. Sc. RWTH
Institute for Machine Elements and Systems Engineering

Eilfschornsteinstr. 18, 52062 Aachen