Tribo-informatics approaches in tribology research: A review
Tribology research mainly focuses on the friction, wear, and lubrication between interacting
surfaces. With the continuous increase in the industrialization of human society, tribology …
surfaces. With the continuous increase in the industrialization of human society, tribology …
[HTML][HTML] Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects
Inspection reliability of small-scale defects, targeting dimensions below 100 µm, is crucial for
structural safety of critical components in high-value applications. Early defects are often …
structural safety of critical components in high-value applications. Early defects are often …
Data-driven algorithm based on the scaled boundary finite element method and deep learning for the identification of multiple cracks in massive structures
S Jiang, W Deng, ET Ooi, L Sun, C Du - Computers & Structures, 2024 - Elsevier
Structural defect identification is a vital aspect of structural health monitoring used to assess
the safety of engineering structures. However, quantitatively determining the dimensions of …
the safety of engineering structures. However, quantitatively determining the dimensions of …
Advanced welding manufacturing: a brief analysis and review of challenges and solutions
Welding is a major manufacturing process that joins two or more pieces of materials together
through heating/mixing them followed by cooling/solidification. The goal of welding …
through heating/mixing them followed by cooling/solidification. The goal of welding …
A survey of machine learning in friction stir welding, including unresolved issues and future research directions
U Chadha, SK Selvaraj, N Gunreddy… - Material Design & …, 2022 - Wiley Online Library
Friction stir welding is a method used to weld together materials considered challenging by
fusion welding. FSW is primarily a solid phase method that has been proven efficient due to …
fusion welding. FSW is primarily a solid phase method that has been proven efficient due to …
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach
M Atwya, G Panoutsos - Journal of Intelligent Manufacturing, 2024 - Springer
Numerous efforts in the additive manufacturing literature have been made toward in-situ
defect prediction for process control and optimization. However, the current work in the …
defect prediction for process control and optimization. However, the current work in the …
Safe human expeditions beyond low Earth orbit (LEO)
A Valinia, JR Allen, DR Francisco, JI Minow, JA Pellish… - 2022 - ntrs.nasa.gov
The NASA Engineering and Safety Center (NESC) conducted an interdisciplinary study and
workshop focusing on capabilities needed for crew health and safety on long-duration deep …
workshop focusing on capabilities needed for crew health and safety on long-duration deep …
Machine learning for intelligent welding and manufacturing systems: research progress and perspective review
In the modern era, welding systems have been made smart with the inclusion of
contemporary information technologies such as intelligent manufacturing and machine …
contemporary information technologies such as intelligent manufacturing and machine …
Analysis of friction stir welds using numerical modelling approach: a comprehensive review
The term" Friction stir welding," abbreviated as" FSW," refers to a cutting-edge technology
that has found widespread application in the metallurgical sector. In this piece of work, a …
that has found widespread application in the metallurgical sector. In this piece of work, a …
Fabric defect detection with deep learning and false negative reduction
T Almeida, F Moutinho, JP Matos-Carvalho - IEEE Access, 2021 - ieeexplore.ieee.org
Quality control is an area of utmost importance for fabric production companies. By not
detecting the defects present in the fabrics, companies are at risk of losing money and …
detecting the defects present in the fabrics, companies are at risk of losing money and …