Student projects
The following projects and calls for proposals are current research topics of the staff of the Stuttgart Research Center for Reliability Engineering at the IMA. If you are interested or if you have any questions, please do not hesitate to contact the mentioned contact persons via the contact data given in each case. For some projects, you may also contact us via C@mpus at the bottom of the page. If you would like to propose a topic on your own initiative beyond the specific calls for proposals, please contact the department head (see contact information below) or a supervisor whose area of expertise matches your topic.
External student projects
The Stuttgart Research Center for Reliability Engineering offers opportunities for students to conduct research projects in collaboration with industry partners and non-university research institutions. For specific topic suggestions, please contact the department head (see contact information below).
Cooperation with CERN
Among others, we maintain close technical collaboration with CERN (European Organization for Nuclear Research), which operates the world’s largest particle accelerator, the LHC (Large Hadron Collider). As part of our cooperation agreement, students in Reliability Engineering can complete internships at CERN or write their theses on site. The specific topics cover a broad spectrum of reliability activities related to particle accelerators. These include, for example, the application of risk management methods in the development of the FCC (Future Hadron Collider) or radiation detection and monitoring. If you are interested or have further questions, please contact the department management (see contact information below).
Research area Drive Train Diagnostics and Prognostics
Research area Reliability Engineering
Postings on C@mpus
Problem Statement:
- Digital twins are increasingly used for virtual certification testing.
- However, a systematic assessment of model and parameter uncertainties is often lacking.
Objectives:
- Investigation of suitable reliability methods for the validation of digital twins
- Assessment and quantification of the remaining uncertainty
| Type: | Bachelor Thesis, Master Thesis |
|---|---|
| Organisation: | Machine Components (072610) |
| Supervisor: | |
| Examiner: | Martin Dazer E-mail |
| Link: | To C@MPUS |
Prognostics and Health Management (PHM) and Predictive Maintenance are increasingly required in industrial applications, often without a detailed understanding of the prerequisites necessary for their successful implementation. Whether a maintenance strategy can be implemented successfully depends on a variety of technical and operational parameters. The objective of this work is to identify these parameters and to characterize and quantify their influence more systematically.
Objectives:
- Description and modelling of different degradation processes, including associated uncertainties
- Identification of relevant parameters influencing the applicability and performance of Predictive Maintenance strategies
-Conducting a parameter study to investigate the prerequisites and boundary conditions for successful Predictive Maintenance
| Type: | Bachelor Thesis, Master Thesis |
|---|---|
| Organisation: | Machine Components (072610) |
| Supervisor: |
|
| Examiner: | Martin Dazer E-mail |
| Link: | To C@MPUS |
Predictive Maintenance (also referred to as PHM – Prognostics and Health Management) is frequently demanded in industry, although the necessary prerequisites for a successful implementation are often not fully understood. Whether a maintenance strategy can be implemented effectively depends on a variety of parameters and influencing factors.
In a prior simulation study, a dataset was generated that captures different parameter combinations and computes the corresponding total costs.
Objectives:
- Quantify the impact of different influencing factors on total cost (influence/importance analysis)
- Sensitivity analysis for individual parameters
- Develop and validate a model (regression or NN) to replace the simulation and predict total result (costs).
-This model should approximate the simulation results accurately while enabling a better identification and interpretation of key influencing factors.
| Type: | Bachelor Thesis, Master Thesis |
|---|---|
| Organisation: | Machine Components (072610) |
| Supervisor: |
|
| Examiner: | Martin Dazer E-mail |
| Link: | To C@MPUS |
Problem Statement:
In sheet metal shearing, replacing or regrinding worn cutting elements involves considerable setup and maintenance effort.
Inspired by the principle of indexable inserts, replaceable or reversible cutting inserts could enable faster maintenance and more efficient use of cutting materials.
Objectives:
Development and detailed design of suitable concepts for replaceable or reversible cutting inserts.
Evaluation and optimization of the concepts using FE simulations and structural substitute models.
| Type: | Bachelor Thesis, Master Thesis |
|---|---|
| Organisation: | Machine Components (072610) |
| Supervisor: | |
| Examiner: | Martin Dazer E-mail |
| Link: | To C@MPUS |
Contact Stuttgart Research Center for Reliability Engineering
Martin Dazer
PD Dr.-Ing. habil.Head of Department SFZ
Paula Fischer
M.Sc.Vice Head of Department SFZ
Lukas Merkle
M.Sc.Vice Head of Department SFZ