Article
Mechanics
Ebrahim Ghahramani, H. Strom, R. E. Bensow
Summary: Cavitating flows involve vapour structures with various length scales, highlighting the importance of accurately estimating small-scale cavities. A hybrid cavitation model that combines a mixture model with a Lagrangian bubble model has been developed to capture multi-scale dynamics and interactions between vapour structures and the continuous flow. This approach shows considerable improvements in predicting large cavities and capturing small-scale structures, even with lower mesh resolution.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Computer Science, Software Engineering
Wenya Yang, Xiao-Diao Chen, Hui Wang, Xiaoyang Mao
Summary: This paper proposes an adaptive edge detection method called MSCNOGP, which combines multi-scale closest neighbor operator with grid partition technique. The MSCNOGP method can remove noise and small area textures, and improve the precision of the edges. Compared with traditional methods, it achieves the best precision and visual effect.
Article
Computer Science, Information Systems
Changyou Shi, Jianping Lu, Qiang Sun, Jing Zhou, Wei Huang, Rongze Xia
Summary: The algorithm utilizes a multi-scale strategy and self-attention mechanism to gradually detect image edges from coarse to fine, successfully capturing edges easily missed in other works. Additionally, two types of skip connections are designed in the model structure to provide multi-scale knowledge about the edges.
Article
Chemistry, Multidisciplinary
Deyi He, Chusheng Liu
Summary: Online detection of screening efficiency is a challenging task in coal dry screening. This study proposes a method using image processing and fractal dimension calculation to indirectly measure screening efficiency. By accurately analyzing the surface texture of coal particles, the proposed method allows for real-time prediction of screening efficiency.
APPLIED SCIENCES-BASEL
(2022)
Article
Mechanics
Aditya Madabhushi, Krishnan Mahesh
Summary: We propose a compressible multi-scale model that captures the dynamics of both large vapour cavities and micro-bubbles and takes into account the compressibility of the medium. The model tracks the homogeneous mixture of liquid and resolved vapour in an Eulerian sense and tracks the unresolved vapour in a Lagrangian sense using a novel equation. The model has been validated and shown to accurately capture the collapse of single and multiple bubbles, as well as the interaction between bubbles in a cluster.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Engineering, Chemical
Christine Roberts, Lisa Mondy, Grant Soehnel, Casper Brady, Bion Shelden, Melissa Soehnel, Robert Garcia, Weston Ortiz, Rekha Rao
Summary: This study examines the dynamic filling process of chemically blown polyurethane foams by conducting experiments and analyzing the bubble size distribution. Three experimental methods are used to observe the bubble size evolution, and the results indicate that the bubble size distribution is affected by various factors.
Article
Mechanics
Yanbiao Gan, Aiguo Xu, Huilin Lai, Wei Li, Guanglan Sun, Sauro Succi
Summary: This paper aims to formulate and validate a multi-scale discrete Boltzmann method based on density functional kinetic theory for thermal multiphase flow systems. It also provides new insights into the thermo-hydrodynamic non-equilibrium effects in the phase separation process.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Computer Science, Information Systems
Yang Liu, Faming Fang, Tingting Wang, Juncheng Li, Yun Sheng, Guixu Zhang
Summary: We propose a novel image deblurring framework that focuses on reconstructing high-frequency information from blurry images. The framework includes a high-frequency reconstruction subnetwork and a multi-scale grid subnetwork, and incorporates high-frequency information aggregation and attention modules for better image sharpening.
IEEE TRANSACTIONS ON MULTIMEDIA
(2022)
Article
Chemistry, Analytical
Haonan Su, Cheolkon Jung, Long Yu
Summary: The researchers transformed the issue of multi-spectral fusion and denoising for the luminance channel into a maximum a posteriori estimation problem in the wavelet domain. They introduced a discrepancy model and utilized a wavelet scale map to adjust the distribution of wavelet coefficients in NIR data to match that of RGB data.
Article
Engineering, Multidisciplinary
Lei He, Shuang Wang, Yongcun Guo, Gang Cheng, Kun Hu, Yanqiu Zhao, Xi Wang
Summary: In this study, a new concave point detection and segmentation algorithm is proposed to solve the overlapping problem in image segmentation of coal and gangue, achieving high accuracy segmentation through concave point detection and the positional relationship between concave points and linear equations.
Article
Physics, Multidisciplinary
Effat Yahaghi, Mahdi Mirzapour, Amir Movafeghi
Summary: The quality of welds is crucial in industries like aeronautic manufacturing, pipelines, and civil construction. Radiographic testing is a key way to inspect welds, with digital image processing methods being a way to enhance image quality. The study compared outcomes from two thresholding algorithms and found that the modified adaptive multi-scale products thresholding method showed better results, particularly in defect regions, and was also quicker than traditional methods.
EUROPEAN PHYSICAL JOURNAL PLUS
(2021)
Article
Engineering, Marine
Kaichuan Sun, Fei Meng, Yubo Tian
Summary: Underwater image enhancement plays a crucial role in underwater resource detection and engineering research. The mainstream methods, CNN and Transformer, have limitations in terms of information loss and edge blurring. In this paper, a framework that combines CNN and Transformer is proposed, which utilizes wavelet transform to embed edge information, achieving excellent enhancement results.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Weiliang Huang, Daqi Zhu, Mingzhi Chen
Summary: This paper proposes a novel fusion underwater salient object detection algorithm (FUSOD) based on multi-scale saliency and spatial optimization. The FUSOD algorithm can handle blurry underwater scenes and improve detection precision by utilizing improved color restoration, multi-scale fusion saliency map calculation, and spatial optimization.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Weixing Wang, Limin Li, Fei Zhang
Summary: This paper introduces a method for pavement crack recognition using image processing technique. The method combines multi-scale analysis algorithm for image shrinking, fractional differential based valley edge detection algorithm for crack segment tracing, post processing functions for refining crack segments, and fracture mechanics for judging if the image has cracks. The method achieves a crack identification accuracy of up to 97% in experiments.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Computer Science, Artificial Intelligence
Gang Chen, Guipeng Zhang, Zhenguo Yang, Wenyin Liu
Summary: In this paper, a multi-scale patch generative adversarial network with edge detection image inpainting is proposed to tackle the challenge of image inpainting with large missing blocks. By introducing an edge detector, designing a patch-GAN as the local discriminator, and incorporating a multi-head attention mechanism, the proposed method achieves superior results compared to the baselines.
APPLIED INTELLIGENCE
(2023)
Article
Thermodynamics
H. J. Xu, L. Gong, C. Y. Zhao, Y. H. Yang, Z. G. Xu
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2015)
Article
Physics, Atomic, Molecular & Chemical
Ahmed Asad, Ya-hui Yang, Chuan Chai, Jiang-tao Wu
CHINESE JOURNAL OF CHEMICAL PHYSICS
(2010)
Article
Thermodynamics
G. L. Morini, Y. Yang, M. Lorenzini
EXPERIMENTAL HEAT TRANSFER
(2012)
Article
Thermodynamics
Y. Yang, I. Gerken, J. J. Brandner, G. L. Morini
EXPERIMENTAL HEAT TRANSFER
(2014)
Review
Thermodynamics
Gian Luca Morini, Yahui Yang, Habib Chalabi, Marco Lorenzini
EXPERIMENTAL THERMAL AND FLUID SCIENCE
(2011)
Article
Thermodynamics
Yahui Yang, Habib Chalabi, Marco Lorenzini, Gian Luca Morini
HEAT TRANSFER ENGINEERING
(2014)
Article
Thermodynamics
Yahui Yang, Chungpyo Hong, Gian Luca Morini, Yutaka Asako
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2014)
Article
Thermodynamics
Yahui Yang, G. L. Morini, Juergen J. Brandner
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2014)
Article
Thermodynamics
Gian Luca Morini, Yahui Yang
JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME
(2013)
Proceedings Paper
Engineering, Mechanical
Gian Luca Morini, Yahui Yang, Habib Chalabi, Marco Lorenzini
PROCEEDINGS IF THE ASME 9TH INTERNATIONAL CONFERENCE ON NANOCHANNELS, MICROCHANNELS AND MINICHANNELS 2011, VOL 1
(2012)
Proceedings Paper
Physics, Applied
Yahui Yang, Juergen J. Brandner, Gian Luca Morini
1ST EUROPEAN CONFERENCE ON GAS MICRO FLOWS (GASMEMS 2012)
(2012)
Proceedings Paper
Thermodynamics
Bin Chen, Fude Guo, Yang Yahui, Tao Ning
HT2008: PROCEEDING OF THE ASME SUMMER HEAT TRANSFER CONFERENCE, VOL 3
(2009)
Article
Engineering, Chemical
Ri Zhang, Shasha Zhang, Mengyan Ding
Summary: A thin liquid film method is proposed to evaluate sand erosion in annular flow. This method considers the direct interaction between the liquid film and gas core, as well as the entrainment and deposition of droplets. The erosion rate is calculated by considering the effects of liquid entrainment and particle velocity decay. The method is fully verified by comparing with experimental data.
Article
Engineering, Chemical
Yu Suo, Xianheng Su, Wenyuan He, Xiaofei Fu, Zhejun Pan
Summary: This research investigates the mechanical properties of sandstone-shale composite through orthogonal experimental method and discrete element simulation. The results show that different lithologies and thickness ratios can affect the strength and fracture mode of the composite rock samples.
Article
Engineering, Chemical
Maurizio Troiano, Andrea El Hassanin, Roberto Solimene, Alessia Teresa Silvestri, Fabrizio Scala, Antonino Squillace, Piero Salatino
Summary: This study investigates the potential of Fluidized Bed Finishing (FBF) for square flat AlSi10Mg specimens manufactured via Laser-Powder Bed Fusion (L-PBF) additive manufacturing technology. The results show that good finishing can be achieved using rotation-assisted tests, with a maximum reduction of surface roughness by 67%. Steel particles are found to be the most effective bed material.
Review
Engineering, Chemical
Ningbo Song, Wanzhong Yin, Jin Yao
Summary: Seawater's dissolved salts and minerals have various effects on the flotation process, including influencing the characteristics and behavior of flotation factors, as well as affecting the surface of sulfide minerals. In most cases, seawater has adverse effects on the flotation of sulfide minerals, but these effects can be mitigated by adjusting the reagents.
Article
Engineering, Chemical
Kaiqiao Wu, Shuxian Jiang, Victor Francia, Marc-Olivier Coppens
Summary: In rectangular and cylindrical annular fluidized beds, pulsating gas flow can create regular bubble patterns, overcoming challenges seen in conventional units. This study provides new opportunities for modularization of fluidized bed operations.
Article
Engineering, Chemical
Shuo Li, Huili Zhang, Jan Baeyens, Miao Yang, Zehao Li, Yimin Deng
Summary: The paper assesses the behavior of cohesive Geldart C-type particles when fluidized by air with the aid of vibration. It determines that mechanical vibration is a simple and effective method to improve the fluidity of cohesive particles during fluidization.
Article
Engineering, Chemical
Zhenfei Feng, Qingyuan Zhang, Shanpan Liang, Zhenzhou Li, Fangwen Guo, Jinxin Zhang, Ding Yuan
Summary: A new micro/mini-channel heat sink (MCHS) with a combined structure of longitudinal and transverse vortex generators is designed, using Al2O3 nanofluid as the working medium. The study explores the effects of transverse vortex generator shape and longitudinal vortex generator angle on the hydraulic and thermal characteristics, comprehensive performance, entropy generation, and exergy efficiency. The results show that the triangular transverse vortex generator improves the comprehensive performance and exergy efficiency. Combined with the longitudinal vortex generator, the MCHS achieves the best comprehensive performance, entropy generation, and exergy efficiency when the Reynolds number is 742.
Article
Engineering, Chemical
Kostas Giannis, Christoph Thon, Guoqing Yang, Arno Kwade, Carsten Schilde
Summary: This study presents a 3D convolutional neural network (3D-CNN) methodology for generating realistic 3D models of particles. The method trains on 2D projections of particle images to predict their 3D shapes, and evaluates the accuracy of the predictions using Fourier shape descriptors (FSDs). This methodology has wide applications in particle shape analysis.
Article
Engineering, Chemical
Zheng-qing Zhou, Lu-jia Chai, Yu-long Zhang, Ya-bin Wang, Ze-chen Du, Tian-yi Wang, Yu-zhe Liu
Summary: The dynamic oxidation and shell-breaking processes of aluminum nanoparticles (ANPs) during heating were studied using in situ transmission electron microscopy. The results revealed that the changes in shell thickness can be divided into three stages, and the active aluminum content of ANP decreased before shell-breaking.
Article
Engineering, Chemical
Fulei Chen, Huaqing Ma, Zihan Liu, Lianyong Zhou, Yongzhi Zhao
Summary: A particle breakage model based on the particle replacement scheme, using the polyhedral model to describe particles, is proposed in this work to accurately describe the breakage of a large number of particles. Additionally, a fast-cutting algorithm is proposed to reproduce the size distribution of progeny particles determined by the breakage model. The validation and simulation results show satisfactory accuracy, efficiency, and stability of the algorithm.
Review
Engineering, Chemical
Matteo Errigo, Christopher Windows-Yule, Massimiliano Materazzi, Dominik Werner, Paola Lettieri
Summary: Gas-solid fluidized-bed systems have advantages in terms of chemical reaction efficiency and temperature control, making them widely used in industrial applications. However, the design, scale-up, and optimization of these complex units are limited by the lack of deep physical understanding. Non-invasive and non-intrusive diagnostic techniques provide a way for researchers to study these systems without affecting the flow field or directly contacting the medium under study.
Article
Engineering, Chemical
Saeed Fateh, Mohammad Behshad Shafii, Mohammad Najafi, Cyrus Aghanajafi
Summary: Applying a magnetic field to ferrofluids alters their flow characteristics and enhances heat transfer. Through visualization and quantitative investigation, it is found that the magnetic field influences the flow patterns and velocity profiles, improving fluid mixing and vorticity magnitude.
Article
Engineering, Chemical
Lei Gao, Bingbing Wei, Xiaochuan Hu, Zaifeng Yao, Yiwen Fang, Xuejian Gao
Summary: In this study, a numerical model of sand triaxial test was established using discrete element software PFC3D, and an indoor triaxial test was conducted to calibrate the numerical model. The influence of microscopic parameters on the macroscopic mechanical response of sand was analyzed. The results showed that the friction coefficient had the greatest impact on the peak strength and residual strength of the sand's stress-strain curve, and it was positively correlated. The normal tangential stiffness ratio was negatively correlated, while the porosity and boundary flexibility stiffness had minimal influence on it.
Article
Engineering, Chemical
Xuan Liu, Jie Gong, Kai Jiang, Xiaojuan Lai, Yu Tian, Kang Zhang
Summary: This study aimed to improve the performance of lignite coal water slurries (CWSs) by synthesizing a series of three-arm amphiphilic block copolymers. By controlling the relative molecular weight, hydrophilic/hydrophobic ratio, and ionic group content, the apparent viscosity of CWSs was significantly reduced and the static stability was improved. Thermogravimetric testing and XPS analysis were conducted to reveal the mechanism behind the improved performance.
Article
Engineering, Chemical
Lanka Dinushke Weerasiri, Daniel Fabijanic, Subrat Das
Summary: Fluidization at low pressure offers significant benefits for the fine chemical industry. This study investigates the behavior of bubbles and bed expansion under low pressure conditions. It is found that lower pressure leads to larger bubbles, increased bubble quantity, and higher aspect ratio. The predictability is affected by the inhomogeneous fluidization, but low pressure fluidization can generate similar bubble sizes with lower fluidizing mass compared to atmospheric pressure.