wbk Institute of Production Science

Automated Manufacturing Systems

  • type: Lecture / Practice (VÜ)
  • chair: KIT-Fakultäten - KIT-Fakultät für Maschinenbau - Institut für Produktionstechnik
    KIT-Fakultäten - KIT-Fakultät für Maschinenbau
  • semester: SS 2021
  • time: 2021-04-13
    08:00 - 09:30 weekly


    2021-04-15
    08:00 - 09:30 weekly

    2021-04-15
    10:00 - 11:30 weekly

    2021-04-20
    08:00 - 09:30 weekly

    2021-04-22
    08:00 - 09:30 weekly

    2021-04-22
    10:00 - 11:30 weekly

    2021-04-27
    08:00 - 09:30 weekly

    2021-04-29
    08:00 - 09:30 weekly

    2021-04-29
    10:00 - 11:30 weekly

    2021-05-04
    08:00 - 09:30 weekly

    2021-05-06
    08:00 - 09:30 weekly

    2021-05-06
    10:00 - 11:30 weekly

    2021-05-11
    08:00 - 09:30 weekly

    2021-05-18
    08:00 - 09:30 weekly

    2021-05-20
    08:00 - 09:30 weekly

    2021-05-20
    10:00 - 11:30 weekly

    2021-06-01
    08:00 - 09:30 weekly

    2021-06-08
    08:00 - 09:30 weekly

    2021-06-10
    08:00 - 09:30 weekly

    2021-06-10
    10:00 - 11:30 weekly

    2021-06-15
    08:00 - 09:30 weekly

    2021-06-17
    08:00 - 09:30 weekly

    2021-06-17
    10:00 - 11:30 weekly

    2021-06-22
    08:00 - 09:30 weekly

    2021-06-24
    08:00 - 09:30 weekly

    2021-06-24
    10:00 - 11:30 weekly

    2021-06-29
    08:00 - 09:30 weekly

    2021-07-01
    08:00 - 09:30 weekly

    2021-07-01
    10:00 - 11:30 weekly

    2021-07-06
    08:00 - 09:30 weekly

    2021-07-08
    08:00 - 09:30 weekly

    2021-07-08
    10:00 - 11:30 weekly

    2021-07-13
    08:00 - 09:30 weekly

    2021-07-15
    08:00 - 09:30 weekly

    2021-07-15
    10:00 - 11:30 weekly

    2021-07-20
    08:00 - 09:30 weekly

    2021-07-22
    08:00 - 09:30 weekly

    2021-07-22
    10:00 - 11:30 weekly


  • lecturer: Prof. Dr.-Ing. Jürgen Fleischer
  • sws: 6
  • lv-no.: 2150904
  • information: Online
Content

The lecture provides an overview of the structure and functioning of automated manufacturing systems. In the introduction chapter the basic elements for the realization of automated manufacturing systems are given. This includes:

  • Drive and control technology
  • Handling technology for handling work pieces and tools
  • Industrial Robotics
  • Quality assurance in automated manufacturing
  • automatic machines, cells, centers and systems for manufacturing and assembly
  • structures of multi-machine systems
  • planning of automated manufacturing systems

An interdisciplinary view of these subareas enables Industry 4.0 solutions.
In the second part of the lecture, the basics are illustrated using implemented manufacturing processes for the production of automotive components (chassis and drive technology).The analysis of automated manufacturing systems for manufacturing of
defined components is also included.
In the field of vehicle power train both, the automated manufacturing process for the production of the conventional internal-combustion engine and the automated manufacturing process for the production of the prospective electric power train
(electric motor and battery) are considered. In the field of car body, the focus is on the analysis of the process chain for the automated manufacturing of conventional sheet metal body parts, as well as for automated manufacturing of body components made out of
fiber-reinforced plastics.
Within tutorials, the contents from the lecture are advanced and applied to specific problems and tasks.

 

Learning Outcomes:

The students …

  • are able to analyze implemented automated manufacturing systems and describe their components.
  • are capable to assess the implemented examples of implemented automated manufacturing systems and apply them to new problems.
  • are able to name automation tasks in manufacturing plants and name the components which are necessary for the implementation of each automation task.
  • are capable with respect to a given task to plan the configuration of an automated manufacturing system and to determine the necessary components to its realization.
  • are able to design and select components for a given use case of the categories: "Handling Technology", "Industrial Robotics", "Sensory" and "Controls".
  • are capable to compare different concepts for multi-machine systems and select a suitable concept for a given use case.

 

Workload:

MACH:
regular attendance: 63 hours
self-study: 177 hours
WING:
regular attendance: 63 hours
self-study: 207 hours

Language of instructionGerman
Bibliography

Medien:
Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt.

Media:
Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/).

Organisational issues

Vorlesungstermine dienstags 8.00 Uhr und donnerstags 8.00 Uhr, Übungstermine donnerstags 9.45 Uhr.
Bekanntgabe der konkreten Übungstermine erfolgt in der ersten Vorlesung.