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Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network (open access)

Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network

This article develops a deep-learning algorithm for an on-loom fabric defect inspection system by combining the techniques of image pre-processing, fabric motif determination, candidate defect map generation, and convolutional neural networks (CNNs).
Date: April 29, 2019
Creator: Ouyang, Wenbin; Xu, Bugao; Hou, Jue & Yuan, Xiaohui
System: The UNT Digital Library
Nanoindentation behavior of high entropy alloys with transformation-induced plasticity (open access)

Nanoindentation behavior of high entropy alloys with transformation-induced plasticity

Article describes an experiment where nanoindentation of three metastable dual-phase high entropy alloys (HEAs) was performed to obtain their inherent elastoplastic deformation responses.
Date: April 29, 2019
Creator: Sinha, S.; Mirshams, Reza; Wang, Tianhao; Nene, S. S.; Frank, M.; Liu, K et al.
System: The UNT Digital Library
Sculpted grain boundaries in soft crystals (open access)

Sculpted grain boundaries in soft crystals

Article describes study in which "soft heteroepitaxy” is used to exert precise control over the lattice orientation of three-dimensional liquid crystalline soft crystals, thereby granting the ability to sculpt the grain boundaries between them.
Date: November 29, 2019
Creator: Li, Xaio; Martínez-González, José A.; Guzmán, Orlando; Ma, Xuedan; Park, Kangho; Zhou, Chun et al.
System: The UNT Digital Library
Preparation and Characterization of 3D Printed PLA-Based Conductive Composites Using Carbonaceous Fillers by Masterbatch Melting Method (open access)

Preparation and Characterization of 3D Printed PLA-Based Conductive Composites Using Carbonaceous Fillers by Masterbatch Melting Method

This article highlights a study aimed at improving the conductivity of polylactic acid (PLA)-based composites by incorporating carbonaceous fillers. The composites with the addition of graphene nanoplatelets (rGO) or multi-walled carbon nanotubes (MWCNTs) were fabricated by the masterbatch melting method in order to improve the dispersion of the two kinds of nano-fillers. The results showed that, with the addition of 9 wt % rGO, the volume electrical resistivity of the composite reached the minimum electrical resistance of 10³ Ω·m, at which point the conductive network in the composites was completely formed.
Date: September 29, 2019
Creator: Guo, Rui; Ren, Zechun; Jia, Xin; Bi, Hongjie; Yang, Haiying; Ji, Tong et al.
System: The UNT Digital Library