Team

Katrin Pitz studied Mechanical and Process Engineering (MPE) at Technische Universität Darmstadt from 2008 to 2014. In her master’s thesis she concentrated on the description and assessment of uncertainty in load-carrying mechanical systems. Following her graduation she gained hands-on experience and deeper knowledge in both reliability engineering and computer-aided design while working for Rolls-Royce Deutschland Ltd & Co KG and Weidemann GmbH, respectively. In April 2016 she joined the Department of Computer Integrated Design (DiK) at Technische Universität Darmstadt as a research assistant and doctoral candidate.

She worked at the department’s training center “Informationsverarbeitung im Maschinenbau” (IiM) and supported the lecture “Information and Communication Technology in Mechanical Engineering” (IKT) since winter term 2016/17 and 2018/19. She also organized the accompanying tutorial “Programming Languages and Techniques” (PST) in which students learn to handle data structures and algorithms using the programming language MATLAB.

Furthermore, from summer term 2017, Ms. Pitz supervised the lecture “Virtual Product Development B” (ViP B) in the master’s program. This lecture focuses on the fundamentals and the importance of product data management as well as on introducing common methods and functions of product data management systems.

Topics: Information and Communication Technology (ICT), MATLAB, Virtual Product Development, Product Data Management (PDM)

IUNO – National reference project on IT security in industry 4.0

The fourth industrial revolution (Industrie 4.0) is distinguished by growing networking capabilities and intelligence of machines, products, services and data. This results in new business models and value networks, but also involves various risks, e.g. hacker attacks, data theft or manipulation. The aim of effective security methods is to protect Industrie 4.0 and its associated values. Therefore the IUNO project was requested, approved and funded by the German Federal Ministry of Education and Research (BMBF). Within this project 14 industrial enterprises and seven research institutions develop and explore new extensive security methods and tools.

The objective of the IUNO project is to identify and develop new appropriate security practices for Industrie 4.0. Within the overall project, the group of DiK researchers consider the specific frame conditions and requirements of Industrie 4.0 and develop models and specifications for an integrated and comprehensive security by design approach. Furthermore, the scientific work focuses on secure devices and identities as well as methods for the effective protection against manipulation, knowledge theft and piracy. The goal is to support the industrial partners by providing scientific methods, so that approved viable safety concepts can be implemented in terms of two demonstrators, ”Technology Data Marketplace“ and ”Remote Maintenance", which actually and sustainably accomplish the security requirements of the industry.

Industrie 4.0 Maturity Index

The project „Industrie 4.0 Maturity Index“ aims at developing a multi-dimensional maturity model for producing companies to evaluate their Industrie 4.0 acquirements and discover potentials of enhancing Industrie 4.0 solutions. By providing a valid assessment methodology, this project enables companies to both judge the status quo and create individual roadmaps to future growth. The entire value chain from engineering, production, logistic to service and sales is considered as well as aspects like resources, culture and IT security.

The project is funded by the National Academy of Science and Engineering (acatech). The project team comprises six university and research departments and several consulting and validation partners from industry.

MYTHOS – Multi-material hybrid technology for additive manufacturing in dental process chains

The BMBF (German Federal Ministry of Education and Research) funded project MYTHOS focusses on the development of an automated process for additive manufacturing of multi-colored dentures. So far, a large part of the production process of aesthetic dentures is still carried out by hand. Several veneering layers are applied manually on top of a structure milled out of a high-strength material so that a color impression is created that suits the patient’s natural dentition. Additive manufacturing offers great potential for improvement in terms of production time, cost and precision. DiK’s responsibilities within MYTHOS are the design of computer-compatible data structures and algorithms as well as the development of the digital process chain for the automated process.

Topics: Industrie 4.0, IT security, additive manufacturing, dental technology

• Assessment of Big Data Approaches and their Application with MATLAB and NASA PCoE Data Sets (Master Thesis)
• Location accurate assignment of colors from camera images to a 3D model (Bachelor Thesis)
• Analysis and application of layer arrangements for dental crowns (Master Thesis)
• Analysis of use cases for Machine Learning for reliability improvements in all product life cycle phases (Advanced Research Project)
• Development of an information model for the design of a data base in the context of dental prosthetics (Studienarbeit)