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Project Overview

Project Code: ED 16

Project name:

Laser-Based Manufacturing Process in Hydrogen and E-Mobility

TUM Department:

ED - Mechanical Engineering

TUM Chair / Institute:

Institute for Machine Tools and Industrial Management (iwb)

Research area:

production technology

Student background:

Aerospace / GeodesyComputer ScienceComputer Science/ InformaticsElectrical EngineeringMechanical EngineeringPhysics

Further disciplines:

Planned project location:

Boltzmannstraße 15, 85748 Garching bei München

Project Supervisor - Contact Details


Title:

M.Sc.

Given name:

Pawel

Family name:

Garkusha

E-mail:

Pawel.Garkusha@iwb.tum.de

Phone:

+49 1578 4039262

Additional Project Supervisor - Contact Details


Title:

Given name:

Family name:

E-mail:

Phone:

Additional Project Supervisor - Contact Details


Title:

Given name:

Family name:

E-mail:

Phone:

Project Description


Project description:

Initial situation
In the course of electromobility, battery storage systems are becoming very important. The Institute for Machine Tools and Industrial Management (iwb) is conducting research into the production of future battery storage systems, among other things. For use in electric vehicles, the contacting of individual cells to a battery module is of particular importance, since, in the event of poorly executed contacting, the battery module is unusable. At the iwb, laser beam welding is being researched for the production of this contacting for different formats, such as cylindrical, prismatic, and pouch cells. At present, there is little knowledge of how reproducible these contacts are in terms of their properties.
Objective
The objective of the project is to assess the quality of the welds and the contact made with them by means of welding experiments and subsequent destructive and non-destructive testing methods. The experiments will be carried out at the iwb. The focus will be on the mechanical and electrical properties. Furthermore, high-speed recordings during the welding process will be used to make a quality statement with regard to the process.
In the second part of the project, suitable data mining approaches, such as Bayesian Neural Networks or Gaussian Process Regression, will first be researched and an attempt made to understand how they work. With the help of these methods, the next step will be to model the relationships between the welding process and the determined properties. These approaches will also be used to quantify the expected uncertainties.
 
Project schedule
The students are first taught the theoretical fundamentals of laser beam welding, battery contacting, and project management methods. Subsequently, a joint work plan is developed with the persons participating in the project, and a division of the work packages within the team is carried out. In addition to carrying out the experimental work, such as welding tests as well as destructive and non-destructive testing methods, methods of data mining (also includes implementations in Python necessary for this) are applied to the available data in the second part of the project seminar. The project work is concluded by documenting the results in a report.

Working hours per week planned:

35

Prerequisites


Required study level minimum (at time of TUM PREP project start):

3 years of bachelor studies completed

Subject related:

- Basic programming skills preferably (MatLab or Python)
-Knowledge of signal processing is an advantage
-Initial experience with the use of artificial intelligence methods is desirable


Other:

- Interest in systems theory and control engineering
- Independent, conscientious way of working
- Interest in working on current research projects

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