Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes

By Mahesh Mani, Shaw C. Feng, L. Brandon, A. Donmez, S. Moylan, R. Fesperman. 2015

282 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/3ca4cbd7bf47ad1d20224b8ebc19980df337697e

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In Automotive Engineering

In Mechanical Engineering

Citations in the corpus

Powders for powder bed fusion: a review (2019, background): “1 3 Researchers at National Institute of Standards and Technology (NIST) formulated measurement science needs for PBF in an extensive report, which also includes a section on preprocess measurements [7].”
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review (2021, unknown): “The seminal studies of Tapia and Elwany (2014) and Mani et al (2015) clearly pointed out the measurement needs to take advantage of the large amount of in-process ∗ Author to whom any correspondence should be addressed. information made available equipping AM systems with various kinds of sensors.”
Process defects and in situ monitoring methods in metal powder bed fusion: a review (2017, unknown): “To face this issue, the development of process monitoring methodologies based on insitu sensing as well as novel feedback control strategies was indicated as a priority research area by many recent keynote studies, projects and roadmaps (Mellor et al., 2014; Olakanmi et al., 2015; Mani et al., 2015;”
When Risks Cannot Be Seen: Regulating Uncertainty in Emerging Technologies (2017, unknown): “While the development of semiconductors required new testing techniques (Lécuyer, 2006) − as does MAM (Mani et al., 2015), pharmaceuticals benefit from generic quality control procedures developed for other types of chemicals (Gowen et al., 2008).”
In-process sensing in selective laser melting (SLM) additive manufacturing (2016, background): “In addition to standard thermophysical properties, the powder particle shape, surface roughness, and size distributions can also be important as these impact light absorption [23, 24], flowability of the powder during the recoat process, packing of the powder bed, and the uniformity of layers deposi”
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system (2020, background): “As reported by a roadmap workshop on measurement science needs for the metal-based AM technologies [85], feedback control systems for additive manufacturing are identified as a critical step in manufacturing industry.”