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Additive manufacturing evolved in the last years from being a rapid prototyping process to a standard manufacturing process. Nevertheless, it is still not a widely used manufacturing method due to different process-related challenges. In this context, it is of vital importance to inspect the manufacturability of the designed parts. In this paper, we present a knowledge-driven framework able to automatically examine geometric properties of a part and compare it to additive manufacturing guidelines. The knowledge base supports a user with information about the capabilities of additive manufacturing processes, printers, and materials.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |