Smart Manufacturing und Factories

11B2348

Bachelor

German

5.0

only summer term

1 semester

The theory behind the term 'Industry 4.0' requires a completely different way of thinking about the design and operation of manufacturing industries. It is based on the integration of existing technologies in order to create intelligent, networked and highly automated production environments that are capable of self-control. When implemented, this results in networked production systems - also known as smart factories. The development of corresponding production systems and areas requires an in-depth understanding of technological components, including those from areas unrelated to mechanical engineering, and calls for strong interdisciplinary thinking. Furthermore, knowledge and in-depth understanding of process-related recording and internal factory processing of process and product data is required, taking into account economic and ecological sustainability.

Excursions are carried out as required to accompany the course.

Part A:
1. basics -> value chain, industrial revolutions, past and present technology drivers, manufacturing processes in the context of efficiency - ecology - sustainability

2. digital twins -> product/process/resource modelling, communication between reality and virtuality, real-time synchronization, simulation models, virtual commissioning

3. networking of machine tools -> holistic and adaptive manufacturing systems, integration of autonomous sensor-based systems, information technology in the machine tool environment, machine-to-machine communication

Block B:
4. technologies in networked production -> Internet of Things, cyber-physical systems, cloud computing, service-oriented architectures, standardized interfaces and protocols, industrial bus systems, real-time capability

5. data acquisition and analysis -> data in the context of product - process - resource, production data acquisition, data storage, analysis and logging functions

6. self-control of production and assembly systems -> coordination of the value chain, use of autonomous machines and robots, adaptable production units, optimization with regard to raw material efficiency and CO2 footprint

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

• Portfolio exam

• Field work / Experimental work

Graded examination performance:

The portfolio examination performance consists of a written project report (PSC) and a term paper (HA) completed during the semester. The total number of points is 100, of which a maximum of 50 points can be achieved in the written project report and in the term paper.

Graded examination: Portfolio examination:

• Written project report (as part of a portfolio examination): 10–12 pages
• Term paper (as part of a portfolio examination): 10–12 pages

Ungraded examination:

• Experimental work: approx. 3 to 5 experimental tasks

Students have a holistic view of digitalization in the production environment and can differentiate between the main existing technologies. After completing the module, students will be able to differentiate between the various technologies of networked production and assign them to possible manufacturing processes. They distinguish between reality and virtuality and explain the benefits of intensive data collection and use against the background of economic efficiency and sustainab

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After completing the module, students will be able to differentiate between the necessary data streams within a digitalized production process and integrate standards with regard to data acquisition and data storage. They explain the use of adaptive manufacturing systems with a holistic view of production areas and illustrate the benefits within the production-related value chains.

• Sachnik, Peter

• Sachnik, Peter