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Professur Produktionssysteme und -prozesse
Professur Produktionssysteme und -prozesse

Digital Manufacturing

Lesson

Dozent: Dipl.-Wirt.-Ing. Franziska Klimant
Dr. rer. med. Mario Lorenz
Type of Lesson: Lecture and training sessions
Requested work: 2/0/2 (150 hours, 5 ECTS)
Advised Semester: 1. Semester (Master courses)
Assessment: Written exam (90 min.)
Exam Prerequisites: none
Prerequisites:
  • Good knowledge in manufacturing processes
  • Good knowledge in control engineering
  • Good knowledge in CAD
Recommended Literature: none

Objectives / Content

One of the characteristics of modern industrial production is the intensive use of information and communication technology based on intelligent and digitally connected systems. This course provides students with fundamental knowledge of a digitalized and connected production as part of the value chain and illustrates corresponding fields of application. Essential components of digital production and their usage in the context of Industry 4.0 covered in this course include

  • the machine (NC/CNC as well as CAD/CNC process chain, production systems as cyber-physical systems, control types, MDE and DNC systems),
  • the use of virtual and augmented reality in development and production, and
  • models and methods of digital factories and virtual commissioning.
Lab work complements the lectures in individual areas and field trips to selected companies provide additional insight into the practical application of digital and connected production.
The general content is:
  • Introduction to the context of Digital Manufacturing
  • Methods for smart manufacturing processes
  • Overview of Digital Factory concept focusing the human-factor and data
  • Modern CAx technologies focusing CAD to CNC process chain
  • Virtual commissioning for a better product design process
  • XR Technologies for manufacturing

Learning Outcomes

After attending this course, the student will:

  • Be able to describe the functioning of a NC axis and the reference points within the operating range of a machine tool
  • Be able to manually develop NC programs for geometrically simple parts
  • Be able to explain realistic CAD/CAM(NC) process chains
  • Be able to adapt CAD models for use in XR applications
  • Be able to differentiate methods and aspects of the digital factory
  • Be able to apply virtual commissioning to a product development process

Lesson materials

The lessons materials will be provided via OPAL.