A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
Additive manufacturing (AM) techniques are maturing and penetrating every aspect of the
industry. With more and more design, process, structure, and property data collected …
industry. With more and more design, process, structure, and property data collected …
[HTML][HTML] Machine Learning in 3D and 4D Printing of Polymer Composites: A Review
I Malashin, I Masich, V Tynchenko, A Gantimurov… - Polymers, 2024 - mdpi.com
The emergence of 3D and 4D printing has transformed the field of polymer composites,
facilitating the fabrication of complex structures. As these manufacturing techniques continue …
facilitating the fabrication of complex structures. As these manufacturing techniques continue …
Deep learning for in-situ layer quality monitoring during laser-based directed energy deposition (LB-DED) additive manufacturing process
Defects are a leading issue for the rejection of parts manufactured through the Directed
Energy Deposition (DED) Additive Manufacturing (AM) process. In an attempt to illuminate …
Energy Deposition (DED) Additive Manufacturing (AM) process. In an attempt to illuminate …
Feature engineering in additive manufacturing
M Safdar, G Lamouche, PP Paul, G Wood… - Engineering of Additive …, 2023 - Springer
This chapter provides an overview of feature engineering landscape in additive
manufacturing (AM). Domains and paradigms linked to data-driven AM are introduced and …
manufacturing (AM). Domains and paradigms linked to data-driven AM are introduced and …
Increasing the collaboration of data science stakeholders with a knowledge management system
Purpose This paper presents the design and implementation of collaborative data science
framework (CoDS), a knowledge management system for consolidating data science …
framework (CoDS), a knowledge management system for consolidating data science …
Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition
Data-driven research in Additive Manufacturing (AM) has gained significant success in
recent years. This has led to a plethora of scientific literature to emerge. The knowledge in …
recent years. This has led to a plethora of scientific literature to emerge. The knowledge in …
[HTML][HTML] Task-driven data fusion for additive manufacturing: Framework, approaches, and case studies
Additive manufacturing (AM) has been envisioned as a critical technology for the next
industrial revolution. Due to the advances in data sensing and collection technologies, a …
industrial revolution. Due to the advances in data sensing and collection technologies, a …
A description logic based ontology for knowledge representation in process planning for laser powder bed fusion
Z Li, M Huang, Y Zhong, Y Qin - Applied Sciences, 2022 - mdpi.com
Laser powder bed fusion (LPBF) provides a rapid and cost-effective solution for fabricating
metallic parts with near full density and high precision, strength, and stiffness directly from …
metallic parts with near full density and high precision, strength, and stiffness directly from …
Information exchange and knowledge discovery for additive manufacturing digital thread: a comprehensive literature review
With the information integration and intelligent embedding of Additive Manufacturing (AM) in
intelligent industrial system applications, the information interoperability and knowledge …
intelligent industrial system applications, the information interoperability and knowledge …
Applications and prospects of machine learning for aerosol jet printing: A review
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 …
like materials suspended as an aerosol mist. AJP creates three-dimensional (3D) functional …