Digital twins represent an important technology for the digitalization of manufacturing and
one of the key building blocks of modern industry. This thesis presents an analysis of their
application in sheet metal forming and bulk metal forming based on a review of scientific
articles. The results show that digital twins enable defect prediction, process parameter
optimization, and improvements in product quality. Their further development is closely
related to artificial intelligence and advanced data processing methods.
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