Research area

The range of services of the Chair of Machine Elements and Computer Aided Product Development includes research and teaching along the entire product life cycle in the domains automotive industry, aerospace industry, medical technology and mechanical engineering. Below you will find a more detailed description of the individual research fields to give you a better overview.

Collaboration & Work Organization:

Complex industrial and development processes thrive on the effective collaboration of different people and their contributions. In this research field, advanced methods for managing process organization in development and manufacturing, in particular systems engineering, agile product development and coordination mechanisms, are being tested.

Early Product Influence:

Early product influence deals with novel approaches to bring together different concerns and perspectives on the product early and systematically in the product development process. Due to the interdisciplinarity between the dimensions of people, technology and organization, this research field represents a central focus at the MRP.

Human Centered Interactive Design:

The interface between humans and machines is becoming increasingly important in times of digital transformation. With a focus on interface and experience design, virtual reality and computer-aided process assistance, the MRP conducts research on performant, intelligent and user-oriented interaction forms and dialogs.

Data-driven product description:

Data-driven product description provides the analytical basis for optimizing the digital value chain of product development. Rule-based complex BOMs, PDM, PLM and CAD map the relevant dependencies within and between the three mapping levels (product level, technical level, geometric level).

Process analytics:

The provision of decision-relevant information for the qualitative, temporal and economic optimization of business processes is an objective of process analytics. Methods of data science and process mining complement process knowledge with regard to the data-supported analysis of business processes.

Product analytics:

The objective of product analytics is to describe products and their influence on an overall system. The focus is on the technical characteristics of the product and its dependencies.

Artificial intelligence methods and applications:

Artificial intelligence methods lead to applications in the field of process analysis as well as machine monitoring. In addition to usage-dependent maintenance planning, these also permit future networked systems for autonomous self-monitoring and control of machines and systems.

Mechanical engineering and test engineering:

In the field of mechanical engineering, machine elements are analyzed as the basis for optimizing components and systems. Destructive and non-destructive methods are used in test engineering to carry out service life investigations.


Letzte Änderung: 29. April 2021