Results 241 to 250 of about 842,500 (318)

Duplex Stainless Steel Laser‐Surface Textured: Stability in Brine Solution

Advanced Engineering Materials, EarlyView.
Controlled laser‐surface treatment (LST) of duplex DSS2205 steel is performed to increase its stability in brine solution under cyclic electrochemical assays. The superior protection with respect to flat and smooth panels is attributed to the presence of FeCr2O4 as the main protective oxide layer in the LST surface, after corrosion tests. The stability
Mohammad Rezayat, Hamidreza Enshaei, Elaine Armelin, José I. Iribarren, Antonio Mateo, Miguel Morales   +5 more
wiley   +1 more source

Elinvar Materials: Recent Progress and Challenges

Advanced Engineering Materials, EarlyView.
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

Laser Metal Deposition of Aluminum Alloys 7075 and 5083 with the Addition of Volatile Alloying Elements through Powder Blending

Advanced Engineering Materials, EarlyView.
This study investigates laser metal deposition of aluminum alloys EN AW‐7075 and EN AW‐5083, using powder blending to compensate zinc and magnesium evaporation. In situ alloying and ex situ alloying with ZnAl12 and AZ91 preserve near‐standard compositions and improve mechanical properties.
Finn Bendixen, Anastasiya Toenjes, Annika Bohlen, Thomas Seefeld   +3 more
wiley   +1 more source

Unidirectional Tape‐Based Composites from Hemp and Pineapple Leaf Fiber: Mechanical Performance in Conventional and Bio‐Based Matrices

Advanced Engineering Materials, EarlyView.
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner, Raja Bade, Valentin Ackermann, Roja M. Baumann, Corvin Bischoff, Jona F. Ebeling, Oskar Glenz, Marlo Groh, Jonathan Groth, Finja Hiller, Tom Hirschmüller, Felix Menke, Syntcha Ngantchou Lecdou, Mika Ohler, Daniel Rafii Vardiny, Darius Richter, Dario Röper, Henrik Schumacher, Theresa Stein, Benjamin Vorbeck, Elisabeth Wermter, Kay Kölzig, Jörg Müssig   +22 more
wiley   +1 more source

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SNR-Aware Low-light Image Enhancement

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
This paper presents a new solution for low-light image enhancement by collectively exploiting Signal-to-Noise-Ratio-aware transformers and convolutional models to dynamically enhance pixels with spatial-varying operations.
Xiaogang Xu, Ruixing Wang, Chiao Fu, Jiaya Jia   +3 more
semanticscholar   +2 more sources

Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

IEEE International Conference on Computer Vision, 2023
When enhancing low-light images, many deep learning algorithms are based on the Retinex theory. However, the Retinex model does not consider the corruptions hidden in the dark or introduced by the light-up process.
Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, R. Timofte, Yulun Zhang   +5 more
semanticscholar   +1 more source

URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement

Computer Vision and Pattern Recognition, 2022
Retinex model-based methods have shown to be effective in layer-wise manipulation with well-designed priors for low-light image enhancement. However, the commonly used handcrafted priors and optimization-driven solutions lead to the absence of adaptivity
Wen-Bin Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, Jianmin Jiang   +5 more
semanticscholar   +1 more source

Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement

IEEE Transactions on Image Processing, 2021
Due to the absence of a desirable objective for low-light image enhancement, previous data-driven methods may provide undesirable enhanced results including amplified noise, degraded contrast and biased colors.
Wenhan Yang, Wenjing Wang, Haofeng Huang, Shiqi Wang, Jiaying Liu   +4 more
semanticscholar   +1 more source

Polarization-Aware Low-Light Image Enhancement

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Polarization-based vision algorithms have found uses in various applications since polarization provides additional physical constraints. However, in low-light conditions, their performance would be severely degenerated since the captured polarized images could be noisy, leading to noticeable degradation in the degree of polarization (DoP) and the ...
Chu Zhou, Minggui Teng, Youwei Lyu, Si Li, Chao Xu, Boxin Shi   +5 more
openaire   +1 more source