Knowledge graphs: Opportunities and challenges

C Peng, F Xia, M Naseriparsa, F Osborne - Artificial Intelligence Review, 2023 - Springer
With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …

[HTML][HTML] Research and application of machine learning for additive manufacturing

J Qin, F Hu, Y Liu, P Witherell, CCL Wang… - Additive …, 2022 - Elsevier
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review

L Jin, X Zhai, K Wang, K Zhang, D Wu, A Nazir, J Jiang… - Materials & Design, 2024 - Elsevier
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …

Machine learning model towards evaluating data gathering methods in manufacturing and mechanical engineering

M Amini, K Sharifani, A Rahmani - International Journal of Applied …, 2023 - papers.ssrn.com
Abstract Supervised Machine Learning (ML) models require extensive training data to
properly approximate the behavior of complex mechanical processes and systems. Real …

Selective laser melting of magnesium alloys: necessity, formability, performance, optimization and applications

K Li, C Ji, S Bai, B Jiang, F Pan - Journal of Materials Science & …, 2023 - Elsevier
Selective laser melting (SLM), as a rapid prototyping technology, has been widely used to
manufacture high-performance metal components with complex structures, which vitally …

Machine learning process evaluating damage classification of composites

M Amini, A Rahmani - International Journal of Science and …, 2023 - papers.ssrn.com
Composite materials have tremendous and ever-increasing applications in complex
engineering systems; thus, it is important to develop non-destructive and efficient condition …

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 …

[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …

M Bayat, O Zinovieva, F Ferrari, C Ayas… - Progress in Materials …, 2023 - Elsevier
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …

Design for manufacture and assembly of digital fabrication and additive manufacturing in construction: a review

W Tuvayanond, L Prasittisopin - Buildings, 2023 - mdpi.com
Design for manufacture and assembly (DfMA) in the architectural, engineering, and
construction (AEC) industry is attracting the attention of designers, practitioners, and …

Knowledge-graph-based explainable AI: A systematic review

E Rajabi, K Etminani - Journal of Information Science, 2024 - journals.sagepub.com
In recent years, knowledge graphs (KGs) have been widely applied in various domains for
different purposes. The semantic model of KGs can represent knowledge through a …