[HTML][HTML] Measurement of actual powder layer height and packing density in a single layer in selective laser melting

TM Wischeropp, C Emmelmann, M Brandt… - Additive Manufacturing, 2019 - Elsevier
For a detailed numerical analysis of laser–material interactions and melt pool dynamics in
selective laser melting (SLM), it is important to consider correct powder layer height and …

Geometrical metrology for metal additive manufacturing

RK Leach, D Bourell, S Carmignato, A Donmez… - CIRP annals, 2019 - Elsevier
The needs, requirements, and on-going and future research issues in geometrical metrology
for metal additive manufacturing are addressed. The infrastructure under development for …

Correlation between arc mode, microstructure, and mechanical properties during wire arc additive manufacturing of 316L stainless steel

L Wang, J Xue, Q Wang - Materials Science and Engineering: A, 2019 - Elsevier
Wire arc additive manufacturing (WAAM) features advantages such as low cost and high
disposition rate, and thus WAAM is a feasible additive manufacturing process. Although …

Structural representation of additively manufactured 316L austenitic stainless steel

CA Bronkhorst, JR Mayeur, V Livescu… - International Journal of …, 2019 - Elsevier
Three 316L stainless steel materials are studied and reported upon; wrought, as-built
additively manufactured (AM), and heat-treated AM material. The AM material was produced …

Design repository effectiveness for 3D convolutional neural networks: Application to additive manufacturing

G Williams, NA Meisel… - Journal of …, 2019 - asmedigitalcollection.asme.org
Abstract Machine learning can be used to automate common or time-consuming
engineering tasks for which sufficient data already exist. For instance, design repositories …

Experimental validation of thermo-mechanical part-scale modeling for laser powder bed fusion processes

M Gouge, E Denlinger, J Irwin, C Li, P Michaleris - Additive Manufacturing, 2019 - Elsevier
Numerical simulation has been posited as a key tool to reduce the unwanted distortion
which occurs during laser powder bed fusion additive manufacturing, yet the scale and …

A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes

A Paul, M Mozaffar, Z Yang, W Liao… - … Conference on Data …, 2019 - ieeexplore.ieee.org
Additive Manufacturing (AM) is a manufacturing paradigm that builds three-dimensional
objects from a computer-aided design model by successively adding material layer by layer …

[HTML][HTML] Melt pool geometry and microstructure of Ti6Al4V with B additions processed by selective laser melting additive manufacturing

Y He, C Montgomery, J Beuth, B Webler - Materials & design, 2019 - Elsevier
This paper documents an investigation into the microstructures and melt pool geometry
features of Ti6Al4V+(0, 1, 2, 5, 10, wt%) B alloys processed by selective laser melting (SLM) …

Enriched analytical solutions for additive manufacturing modeling and simulation

JC Steuben, AJ Birnbaum, JG Michopoulos… - Additive …, 2019 - Elsevier
Recent developments in additive manufacturing (AM) technologies involving heat and mass
deposition have exposed the need for computationally efficient modeling of thermal field …

Thermal modeling in metal additive manufacturing using graph theory

MR Yavari, KD Cole, P Rao - Journal of …, 2019 - asmedigitalcollection.asme.org
The goal of this work is to predict the effect of part geometry and process parameters on the
instantaneous spatiotemporal distribution of temperature, also called the thermal field or …