Student Automotive Engineering, Mathematics, Computational Science or similar (f/m/x)

Final Thesis

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

Our Institute of Vehicle Concepts in Stuttgart is looking for a

Bachelor's / Master's thesis: Structural optimization for the efficient design of dynamically loaded crash components

What to expect:

The Institute of Vehicle Concepts researches, develops and evaluates new vehicle concepts and technologies in light of future demands on the transportation system.

The Urban Modular Vehicle is being developed at DLR as part of the Next Generation Car project. A key challenge in modern vehicle development is creating a fuel-efficient and safe vehicle that meets increasingly stringent requirements. Structural optimization plays a crucial role in this process. These optimization methods enable development engineers to design vehicle structures that are both optimal and lightweight. In the context of multi-material design, body structure concepts for alternatively powered vehicles are being developed using a wide range of materials. Ensuring crash safety is a primary goal in today's vehicle development. However, the current design process for crash-loaded structures is highly time-consuming due to the complexity involved. Given this, new strategies have been developed at the Institute of Vehicle Concepts to derive crash safety under simplified boundary conditions early in the development phase. The objective of this thesis is to develop a process chain to support these new strategies, focusing on crash structures such as battery boxes and similar components. Finally, the crash structure has to be verified using a complete vehicle.

Content of your work:

• Conduct research on existing crash optimization process chains
• Investigate recycled materials and their mechanical properties used in automotive design, particularly for crash structures
• Develop a new process chain for optimizing crash structures using the Python
• Perform optimization on the crash structures
• Verify the optimised result model with FEA global car model
• Document the entire process and results

What we expect from you:

• Students from the field related to automotive engineering, mathematics, computational science or a comparable engineering
• Ability to work effectively as part of a team
• An interest in automotive engineering, machine learning, and sustainability design
• Previous experience with of a scripting language (e.g., Python) and familiarity with the software such as LS-Dyna, Primer
• Ability to work thoroughly, reliably, and independently
• Capability to derive and verify design methods for estimating the crash safety of vehicle structures

• Knowledge and experience in sustainable design and Life Cycle Assessment (LCA) are advantageous
• An aptitude for quickly developing and applying practical solutions is an asset

What we offer:

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

Further information:

Starting date: sofort
Duration of contract: 6 months
Type of employment: Part-time

Remuneration: without remuneration

Vacancy-ID: 97666

Contact:
Felix Udhaya Rajamanickam Institut für Fahrzeugkonzepte
Tel.: 0711 6862 316