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“Digital disruption is a change in industry triggered by advances in information and communications technology. During the next few years, the technologies
AM data is essential for establishing part traceability, understanding AM processes and making decisions during the product development lifecycle. The curation
Nature utilizes a hierarchy of length scales and tiered structure to build lightweight, strong, and tough materials. Engineers look to exploit the advantage of
Part quality in additive manufacturing (AM) is highly dependent on the process control, but there is a lack of adequate AM control methods and standards. In
Multi-physics models are necessary to simulate, study, and optimize metal additive manufacturing (AM) processes, such as powder bed fusion (PBF) and directed
Part quality in additive manufacturing (AM) is highly variable due to inadequate dimensional tolerances, surface roughness, and defects, thereby limiting its
The lack of repeatable process outcomes from additive manufacturing (AM) has been broadly acknowledged as an impediment to widespread implementation. While most