Intelligent additive manufacturing and design: state of the art and future perspectives

Y Xiong, Y Tang, Q Zhou, Y Ma, DW Rosen - Additive Manufacturing, 2022 - Elsevier
In additive manufacturing (AM), intelligent technologies are proving to be a powerful tool for
facilitating economic, efficient, and effective decision-making within the product and service …

An overview on the use of operations research in additive manufacturing

JM Framinan, P Perez-Gonzalez… - Annals of Operations …, 2023 - Springer
Additive Manufacturing (AM) is a disruptive production technology that challenges many well-
established, conventional practices in Operations and Supply Chain Management …

A computational design approach for multi-material 4D printing based on interlocking blocks assembly

K Benyahia, H Seriket, R Prod'hon, S Gomes… - Additive …, 2022 - Elsevier
Abstract 4D printing is considered as a disruptive manufacturing technology for creating
innovative devices able to evolve in their usage environment. By coupling additive …

Neural network-based build time estimation for additive manufacturing: a performance comparison

Y Oh, M Sharp, T Sprock, S Kwon - Journal of Computational …, 2021 - academic.oup.com
Additive manufacturing (AM) has brought positive opportunities with phenomenal changes
to traditional manufacturing. Consistent efforts and novel studies into AM use have resolved …

[HTML][HTML] 3D decomposition optimization of topology-optimized structures considering a build volume constraint for additive manufacturing

H Kim, IY Kim - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
The integration of topology optimization and additive manufacturing (AM) offers a
transformative approach to designing and fabricating complex structures across various …

[HTML][HTML] Multicomponent topology optimization method considering stepwise linear assemblability with a fictitious physical model

R Hirosawa, M Noda, K Matsushima, Y Noguchi… - Computer-Aided …, 2024 - Elsevier
This paper proposes a multicomponent topology optimization method that considers
assemblability. Generally, it is difficult to consider assemblability in topology optimization; …

Development of a manufacturability predictor for periodic cellular structures in a selective laser melting process via experiment and ANN modelling

L Ding, S Tan, W Chen, Y Jin, Y Sun… - Virtual and Physical …, 2022 - Taylor & Francis
Manufacturability analysis is a critical step before manufacturing to reduce costs and risks. It
is used widely in conventional manufacturing (CM) processes. However, to the best of our …

Scheduling of build and post processes for decomposed parts in additive manufacturing

Y Oh, Y Cho - Additive Manufacturing, 2022 - Elsevier
Recently, production planning has been highlighted in the Additive Manufacturing (AM)
literature. However, most AM studies have focused on a build process performed by an AM …

Applications and prospects of machine learning for aerosol jet printing: A review

S Guo, H Ko, A Wang - IISE Transactions, 2024 - Taylor & Francis
Abstract Aerosol Jet Printing (AJP) is an additive manufacturing process that deposits ink-
like materials suspended as an aerosol mist. AJP creates three-dimensional (3D) functional …

Novel process planning approach for support-free additive manufacturing using multi-axis deposition systems

M Manoharan, S Kumaraguru - International Journal of Computer …, 2023 - Taylor & Francis
ABSTRACT Direct Energy Deposition (DED) is one of the Metal Additive Manufacturing
processes, which can be used to print near-net shapes and repair volumes using five-axis …