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Digitalisierung und Automatisierung in produzierender Industrie sind Schlagwörter heutiger Forschungsbarbeiten am Department Industrial Engineering der Fachhochschule Technikum Wien. Künstliche Intelligenz, vernetzte Sensorsysteme oder übergreifende Prozessplanung ermöglichen Optimierung hinsichtlich Produktionszeit oder Fertigung von individualisierten Produkten, was zur Losgröße 1 führt. In diesem Dokument werden Forschungstätigkeiten des Departments Industrial Engineering im Kontext Vernetzung, Servicerobotik sowie Industrierobotik zusammengefasst.
This work represents the design and performance optimization of pumping aggregate for hydraulic active car
suspension systems. For solving of this task is required wide scope of interdisciplinary knowledge. The software used in
this project was SolidWorks from Dassault Systemes. Using this tool is possible to analyse and optimize the flow of
hydraulic fluid throw the electromotor of pumping aggregate. This papers shows among other, how to set the input
parameters and constraints such as pressure and velocity, how to simulate a rotating flow of cooling fluid inside
intermediate regions between stator and rotor. For approving a required lifetime of pumping aggregate a fatigue analysis
was done and represented above. The verification of simulation model and mandatory validation of simulation results
are made. The conclusions at the end of this work have confirmed the usage of computational fluid dynamic – software
for future researches of pumping aggregates.
Cyberphysical production systems are an important part of today’s manufacturing process. The ever-growing need of highly optimized,
i.e. at the same time flexible and ecient systems, requires the use of not only appropriate machines, but as well a
communication framework and data model that is manufacturer independent and scalable. This paper proposes a communicationframework
based on OPC UA that employs an agent-based architecture. The proposed system has been implemented and tested in
the Digital Factory of the UAS Technikum Wien. It shows promising behavior within distributed manufacturing systems.