There are currently no projects offered in this area.

Development of a flexible, foldable transport box system for sports equipment/folding bikes
Transporting high-priced sports equipment/folding bikes poses a considerable logistical challenge, especially when travelling by air. While hard-shell cases offer good protection against rough handling of luggage, they are bulky and difficult to store when not in use. Transport bags, on the other hand, are light and space-saving, but offer little protection against rough handling. The aim of this project is to develop an innovative, flexible and foldable transport box system that combines both requirements: reliable protection for sensitive sports equipment and folding bikes, as well as compact storage when not in use. The box should be modular, lightweight and robust, and adaptable to different equipment sizes.
Institute: FAST-LBT
Previous Knowledge: Interest in plastics

Measurement of residual stresses in thin layers from -50°C to 100°C using the substrate curvature method
The aim is to design a system for measuring layer stresses and design it so that it is ready to order. Students apply fundamental knowledge of materials mechanics, optics, thermodynamics, and diffusion to develop a novel measuring instrument. Successful communication within the team and with companies is central for the project. Task: • Design of a laser-based wafer curvature system • Sample 30x10mm² • Thickness 100µm-300µm • Layer thickness 20µm • Design of heating/cooling chamber • Cooling with liquid nitrogen • Temperature setting from -50°C to 100°C • Design of the chamber window • Prevention of condensation • Design of the instrument using underlying physics • Production drawings • Request for quotation
Institute: IAM-MMI
Previous Knowledge: no

Automated mapping of surface topographies via LabVIEW
To analyze component residual stresses using the contour-method, EDM-generated cross sectional surfaces must be measured with high precision using a predefined measurement grid. The large number of measurement points must then be smoothed and fed into a FEM-routine for stress calculation. We are developing a system, in which the topography of the cross-sectional surface will be automatically measured using a laser-distance-sensor. The scanning will be performed using an x-y-linear-stage. A LabVIEW-based control routine must be developed for this setup. Control and data acquisition will be managed via an intuitive GUI. Finally, the device will be commissioned and initial real experiments will be conducted.
Institute: IAM-WK
Previous Knowledge: no

Simulation of heat transfer during fluid flow in fractures
Heat transport and transfer for fluid flow through fractures geothermal reservoirs is important for the efficiency assessment and optimisation of geothermal energy extraction systems. The fracture geometry, flow and thermal conditions influence how effectively heat is transferred from the rock to the fluid, thereby affecting the system efficiency. Numerical simulations help to understand and predict these transport processes. Simulation studies for different fracture geometries and with varying parameters, e.g. different flowrates, are used for this purpose. The task involves generating realistic fracture geometries, conducting simulation studies with flow and heat transfer under different conditions, and subsequent evaluation of the results.
Institute: IAM-MMS
Previous Knowledge: Mass and Heat Transfer, Fluid Dynamics

Numerical simulation of the coupled temperature and crystallization evolution in thermoplastics
The manufacturing of thermoplastics involves heat transfer, which strongly affects crystallization. Since crystallization is exothermic, the released heat must be included in a simulation model. One approach is to model the heat-source term in the heat equation as dependent on crystallization and cooling rates. The Nakamura model can describe the time evolution of the degree of crystallinity. This project focuses on implementing a Python numerical solver that accounts for the coupled evolution of temperature and crystallinity. The solver will operate on a two-dimensional domain. Sensitivity studies will be performed based on this solver.
Institute: IAM-MMS
Previous Knowledge: Mechanics, interest in programming

Simulation of Dose Deposition in Resist used in Deep X-ray Lithography
The focus of the project is on modelling the deep X-ray lithography process for 3D microstructure fabrication, where the sample rotates under a fixed X-ray mask/pattern. Using Monte Carlo simulations (e.g., the PENELOPE program or Python libraries), you will evaluate the spatial dose distribution, assess resist development, and investigate how rotational exposure influences the final structure geometry. The resulting data will be analyzed to advance deep X-ray lithography for 3D micro- and nanofabrication.
Institute: IMT
Previous Knowledge: no

A balancing robot
In this practical project, students develop software controlling movements of a self-balancing robot based on an Arduino Nano. The robot is equipped with various sensors (gyroscope, accelerometer), actuators (electric motors, LEDs), and a battery, and can be programmed via USB. The main task is to program the robot to maintain its balance and perform defined tasks, such as stabilizing a pendulum in an upright position while it travels a specific path. This will involve, among other things, implementing a Kalman filter to fuse the sensor data from the gyroscope and accelerometer and enable precise orientation determination.
Institute: ITM
Previous Knowledge: Enjoyment of programming, interest in dynamics

Geometric Approximation of Fiber Orientations for Process Optimization in Lightweight Engineering
Developing robust lightweight structures requires reliable simulation models and fast optimization. A key factor is local fiber orientation, which is often computationally expensive to calculate in detailed process simulations. This project employs the Eikonal equation as an efficient geometric surrogate model for rapid approximation. By implementing this mathematical approach into a modern simulation framework, orientation distributions become immediately available for structural analysis. This significantly accelerates component optimization using manufacturing-relevant data, facilitating efficient process and product development in lightweight engineering.
Institute: FAST-LBT
Previous Knowledge: Enjoyment and interest in programming in Python

There are currently no projects offered in this area in english language.

Experimental Characterization of a Model Wind Tunnel
The students take on the role of a wind tunnel manufacturer, with the goal of developing a functional wind tunnel. A first model wind tunnel at a scale of 1:8 has already been designed and tested. However, initial measurements show that the static pressure along the test section deviates from the expected constancy at certain positions. Therefore, a measurement campaign is to be carried out in which the static pressure gradient is measured. Furthermore, the turbulence intensity in the free jet is to be investigated. From the collected results, conclusions are to be drawn for a future full-scale (1:1) model in order to optimize the wind tunnel.
Institute: ISTM
Previous knowledge: Passed fluid mechanics

Implementation and validation of convolutional neural networks
Deep learning is a subfield of artificial intelligence and is often used to train image processing algorithms with regard to possible image content. The models and learning methods employed are largely based on artificial neural networks that have been known for decades. Numerous network architectures are available on the internet for this purpose, although their designs have often emerged through trial and error. Based on available (image) datasets, this thesis will discuss and evaluate networks, implement and test networks with different structures, and draw conclusions about their computational efficiency and performance quality.
Institute: IAI
Previous knowledge: no

No projects are currently offered in this area.

Design and implementation of an image processing system for automatic layout recognition in modular intralogistics systems
In modular intralogistics systems, automatic detection of the current plant configuration is a key prerequisite for flexible material flows and reconfigurable production environments. The aim of this project is to develop and implement a camera-based image processing system for automatically determining the module positions in a real, small-scale cyber-physical demonstrator (MMH Lab). The system will use several ceiling-mounted RGB cameras to capture the layout. In addition, an actively switchable LED segment system will be designed and implemented on the modules to specifically improve visual recognition and reduce ambiguities in pose and module identification. Based on the detected module poses, the topology of the overall system will be reconstructed and made available via MQTT.
Institute: IFL
Previous knowledge: no

Module Development for Automated Sand Analysis
Soil mechanics deals, among other things, with the mechanical behavior of granular materials. The latter are characterized and mechanically examined in laboratory tests in order to derive characteristic values relating to the stiffness and strength of the soil. These investigations are usually carried out manually. In order to enable a high degree of reproducibility and sample accuracy, the bulk tests are to be automated using a modular, expandable robot system. The aim of this project is to develop individual modules for testing bulk materials using a robotic arm and integrating them into the control sequence.
Institute: wbk
Previous knowledge: no

Creating an object recognition and tracking system in a mixed reality environment
This work involves creating an object recognition algorithm and adapting it to the intended use of the circular factory The goal is to recognize an angle grinder and determine its position and orientation. This can first be done using static images and will then be applied to a video stream. The whole process takes place in a mixed reality environment, which is created using Varjo VR glasses and video passthrough. At the end of the work, it should be possible to dynamically display a simple graphic above the angle grinder within the MR environment.
Institute: ifab
Previous knowledge: Computer vision experience is a plus; VR/MR experience is a plus

Development of a VR Environment in Unity for the Human-Machine Symbiosis Lab
The Human-Machine Symbiosis Lab investigates the interaction between humans and machines from a scientific perspective. The goal of this project is to develop a VR environment in Unity that allows user to interactively experience a real workplace. Students will design and implement a VR scene, create interaction possibilities, and systematically document the development process. The project combines 3D modelling, software development, and user-centered interaction design, making it ideal for students interested in XR technologies and Human-Machine Interaction.
Institute: IPEK
Previous knowledge: no

Additive manufacturing of a changing station for vacuum suction cups
The project aims to develop and build a prototype changing station for vacuum suction cups based on a Schmalz end piece. The goal is to develop a reliable and tight changing mechanism that allows the use of different gripper attachments. The attachments can be changed either by the robot (in a limited form) or by integrating a mechatronic system into the station. Brackets, interfaces, sealing concepts and several gripper attachments in various graduated sizes will be designed and additively manufactured. In addition, vacuum channels, locks and guides must be dimensioned. The developed solution will be tested on a real robot.
Institute: IFL
Previous knowledge: CAD and Python are a plus

Methodical requirements analysis for a distraction-optimized, multimodal human-machine interface (HMI)
Modern vehicle HMIs exhibit an increasing diversity of functions, thereby raising the risk of driver distraction. Existing systems face the challenge of combining high functionality with intuitive usability and safety. However, current research reveals gaps in the capture and specification of multimodal interaction concepts that give equal consideration to usability, safety, and accessibility. Furthermore, the transfer of requirements into consistent, formal specifications and their early visualization have so far been insufficiently investigated. This work aims to elicit and specify requirements using requirements engineering. Additionally, a low-fidelity concept will be used to visualize the implementation and thus contribute to closing the research gap in user-centered vehicle HMIs.
Institute: FAST-IFF
Previous knowledge: Basic knowledge of signal processing and sensor technology, basic knowledge of software architecture for real-time systems, interest in human-computer interaction (HCI)

Adaptive freely adjustable screw assembly test bench
•In this project, a test rig for screw assembly is to be structurally designed and developed. For this purpose, a suitable application case with defined screw size and target torque must be specified, and the drive system and transmission ratio must be selected such that the assembly process can be realistically represented. The mechanical setup shall be designed so that the test specimens, namely the bolted joint, can be safely mounted and loaded. In addition, suitable measurement sensors shall be selected to record preload force, torque, and rotation angle during assembly. Finally, the motor control shall be developed, and the test rig and measurement chain shall be evaluated in initial tests.
Institute: IPEK
Previous knowledge: no

Safety Analytics for Automated Vehicles: Development of a Control Center Dashboard for the Detection of Safety-Relevant Scenarios
The goal is to develop a dashboard in Foxglove, a platform for visualizing and analyzing vehicle and sensor data, to detect and evaluate safety-related driving scenarios for driver assistance systems (ADAS) and automated driving (AD). Recorded real-life driving scenarios from the event data recorder (EDR) of a research vehicle serve as the data basis. The dashboard will visualize sensor-based vehicle and environment data and enable the analysis and evaluation of safety-critical scenarios over time using defined key figures and metrics. In a first step, relevant data will be identified from the numerous signals available on the CAN bus and analyzed experimentally in order to develop, test, and compare triggers for the detection of safety-critical events. This will enable relevant events to be systematically identified and evaluated. The aim is to test and validate the developed dashboard and the defined triggers in practical experiments with the research vehicle.
Institute: IPEK
Previous knowledge: no

Model creation and simulation with a hydraulics library for Modelica
As part of this project, an existing Modelica hydraulics library is to be extended. The goal is to model additional hydraulic components as well as example models of simple hydraulic systems and to represent them graphically in accordance with DIN ISO 1219. In addition, a user manual or illustrative tutorial videos can be created to demonstrate the library/example models. The project combines modeling, simulation, technical documentation, and multimedia preparation in an engaging way, making it ideal for students interested in simulation and hydraulics.
Institut: FAST-Mobima
Vorkenntnisse: Grundlagen der Hydraulik, Programmiererfahrung

Design of a Mussel Harvesting Robotic System for Floating Photovoltaic Systems
Floating photovoltaic (FPV) systems are increasingly used in rivers and coastal waters and are an important part of renewable energy generation. A major challenge is mussel growth on the floaters, which can increase structural loads and potentially damage the systems over time. This project aims to develop a conceptual robotic solution for automated mussel removal and transport, based on existing commercial underwater platforms and technologies. Students will conduct market analysis and design a system concept, including system architecture, sizing, and potential removal methods, as well as their integration into existing platforms.
Institut: FAST-Mobima
Vorkenntnisse: Maschinengestaltung

Origin, significance and consequences of tire-road emissions in Germany and the European Union
In addition to the well-known emissions from exhaust gases, non-exhaust-related emissions have come into focus in recent years. These include brake, tire, and road abrasion, which contributes in part to microplastic pollution. The aim of this project is a detailed analysis of the mechanisms leading to the formation of these particles and the empirical data available. To this end, the formation mechanisms of tire-road particles and their relevance will be investigated through a literature review. This will create a comprehensive picture of the formation mechanisms of the particle sizes, their emitted quantities, and their negative impacts. Since the data on tire emissions is limited, alternative approaches such as extrapolations based on emission factors and mileage per vehicle class may be necessary.
Institut: FAST-IFF
Vorkenntnisse: Englisch fließend

Investigation of Traffic Flows at Campus North and Development of an Operating Concept for Integrating a Highly Automated System into Karlsruhe's Rail Passenger Transport System
As part of a current research project, the long-term goal is to create a highly automated rail connection between the North Campus and the current local rail network in Karlsruhe. The students are conducting their own traffic surveys of various modes of transport, analysing real traffic flows and identifying peak times. Based on the data collected, existing line structures are evaluated, operational constraints are derived and a possible integration concept is developed. The result is a concept proposal that shows how an automated railway can be sensibly integrated into the existing transport system (e.g. fixed timetables, demand-oriented services).
Institut: FAST-BST
Vorkenntnisse: keine

Multisensor Perception and Object Tracking for Urban Traffic Monitoring
This project will develop a multimodal perception system for pedestrians, cyclists, vehicles, and trams using roof-mounted sensors (3 cameras + 6 LiDARs). The work includes four main tasks: (1) static camera perception, (2) static LiDAR perception, (3) multi-sensor object tracking combining camera and LiDAR features, and (4) generation of smooth trajectories and fixed-size 3D bounding boxes for tracked objects. If time allows, results will be extended to train an end-to-end model. The setup is fully calibrated, sufficient data is already available, and additional recordings can be collected. The project suits 3–4 students working collaboratively.
Institut: MRT
Vorkenntnisse: Computer vision, Python, Deep Learning Knowledge

Numerical Analysis of a Turbine Blade
Thermal turbomachines, such as stationary gas turbines and aircraft engines, are key systems in energy and propulsion engineering. In a turbine, kinetic energy of the hot gas is converted into mechanical power by redirecting the flow over rotating blades subjected to high thermo-mechanical loads. In this project, students analyze a turbine blade regarding its flow behavior, mechanical stresses, and thermal loads. They configure numerical models using simulation software, perform simulations, and evaluate the results. Finally, the findings are analyzed and discussed, focusing on interactions and boundary conditions to draw conclusions about the overall system.
Institut: IST
Vorkenntnisse: Kenntnisse in Strömungsmechanik vorteilhaft

Modeling of thermal energy storage systems for single-family homes with heat pumps
For the heating transition in the building sector, the shift from fossil-based to renewable heating systems is essential. Heat pumps are a key technology for single-family homes. Besides the choice of heat source, system integration—particularly the design of thermal energy storage—plays a crucial role in efficiency, economic viability, and comfort. The project models thermal storage technologies and examines their sizing and the impact of operating strategies on the overall system. A focus is the coupling with a residential PV system, whose fluctuating generation requires effective load and storage management to increase self-consumption and overall efficiency.
Institut: ITT
Vorkenntnisse: keine

There are currently no projects offered in this area in english language.

Experimental Investigation of Elastocaloric Cooling with Polymer Films
Cooling is one of the largest global energy demands, and new technologies without harmful refrigerants are urgently needed. One option is elastocaloric cooling, which uses solid materials that heat up and cool down under mechanical stress. Polymer films are especially attractive because they combine excellent heat transfer due to their large surface-to-volume ratio and low cost. This project focuses on hands-on laboratory work, including experimental measurements and data analysis. (1) You will experimentally characterize the thermal and mechanical behavior of test materials (2) you will build and test a small-scale demonstrator for elastocaloric cooling using load sensors and infrared imaging and (3) evaluate their functional performance under different loading conditions.
Institut: IMT
Vorkenntnisse: keine

Development of a Control System for a 3D-printed Drone
The combination of microcontrollers and 3D printing enables new approaches to the design and control of unmanned aerial vehicles. Electrically powered multicopters are considered sustainable means of transport because they can operate locally without emissions. For energy-efficient operation, precise control of the propulsion system is required. In this project, a quadcopter drone will be further developed and controlled using Arduino and LabView. Participants will instrument the drone, develop control algorithms, and test them in practical flight experiments. The goal is to achieve a stable hovering flight over an extended period of time.
Institut: IST
Vorkenntnisse: Erfahrung mit Arduino vorteilhaft, Erfahrung mit LabView vorteilhaft