| Περίληψη: | In the realm of the fourth Industrial Revolution, digital technologies are constantly
integrated in Manufacturing processes in order to improve system reliability, monitor processes
accurately and ultimately optimize processes. In order to tackle these issues, advanced simulation
techniques such as Digital Twins (DT) have to be developed. Further to that, modern
manufacturing systems are based on the integration of non-conventional processes, such as
Additive Manufacturing (AM). Therefore, the scope of this thesis is to design and develop a Digital
Twin based framework for Fused Deposition Modeling (FDM). The purpose of the Digital Twin
is to integrate quality assessment modules, and setup a database for monitoring all the experiment
results. Additional modules will also be created and integrated, such as compensating the effects
of printing, as well as immersive interfaces enabling the users to control and monitor the machine
state remotely. Consequently, one of the key concepts of this thesis is the design of the information
flow between the above-mentioned modules for optimizing the FDM process parameters, and thus
minimize time and resources caused by human error. The implementation of the proposed
framework is based on the integration of suitable communication channels.
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