Article
Chemistry, Multidisciplinary
Md. Akhtarul Islam, Mathias Ulbricht
Summary: This study applies the Hagen-Poiseuille equation to experimental flow data of various gases through capillaries and porous media. By treating gas viscosity as an adjustable parameter, the study finds an unambiguous relationship between gas viscosity, average pressure, and capillary diameter at a constant temperature. Additionally, a universal linear relation exists for different gases between the parameter Pav*D and μ/M-0.5 (where M is molecular mass) when Pav*D < 0.01. This new interpretation of gas viscosity avoids the differentiation of flow regimes and has potential applications in fields such as microfluidic systems and pore size analysis of filters and membranes.
Article
Energy & Fuels
Ceyla Ozgur, Mehmet Erman Mert
Summary: This research investigates the efficiency of hydrogen production using nickel and copper deposited nickel foam electrodes with different compositions. Experimental studies were conducted to obtain the maximum hydrogen efficiency, and the impacts of electrolysis time, electric voltage, and catalyst amount were statistically interpreted using Design-Expert software. The created model identifies the ideal parameters for optimum hydrogen generation.
Review
Physics, Multidisciplinary
Hassan Akhlaghi, Ehsan Roohi, Stefan Stefanov
Summary: The current paper provides a detailed review of important topics in micro-and nanoscale gas flows, including velocity slip and temperature jump phenomena, Knudsen minimum, and thermally-driven flows. The review summarizes the latest advancements and investigations on velocity slip and temperature jump, as well as the modeling of rarefied gas flows. It also discusses the Knudsen paradox, thermally-driven flows, and the application of Knudsen pumps. Overall, this review highlights the emerging physical science and engineering applications of micro-and nanoscale gas flows.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
(2023)
Article
Optics
Lei Wang, Shige Wang, Qiuling Zhao, Xia Wang
Summary: Optical pulling is an attractive concept with counterintuitive features and promising applications. While optical pulling of micro-nano objects has been extensively studied in the past decade, pulling of macroscopic objects remains challenging. This study demonstrates laser pulling of a macroscopic object in a rarefied gas, where the pulling force originates from the Kundsen force induced by a gauss laser beam irradiating a macroscopic structure composed of absorptive graphene material and a SiO2 layer. The results expand the scope of optical pulling from the microscale to the macroscale and provide an effective technique for macroscopic optical manipulations.
Article
Engineering, Chemical
Thurga Devi Munusamy, Sim Yee Chin, Md Maksudur Rahman Khan
Summary: In this study, Carbon@exfoliated g-C3N4 was fabricated through a hydrothermal approach and characterized in detail. The deposition of carbon enhanced the surface area and light absorption, with the optimized model revealing the highest hydrogen yield under specific conditions. Overall, the research serves as a benchmark for large scale photoreforming hydrogen production.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Article
Nanoscience & Nanotechnology
Shogo Sugimoto, Hiroshi Sugimoto
Summary: The rarefied gas flow in a microscopic thermal transpiration pump fabricated by micro/nano-electro-mechanical systems is investigated using numerical analysis. The results show that the numerical model can reproduce experimental data and provide details of the three-dimensional flow structures for varying Knudsen numbers.
MICROFLUIDICS AND NANOFLUIDICS
(2022)
Article
Agricultural Engineering
J. V. Tirkey, Deepak Kumar Singh
Summary: This study investigates the processing of waste poultry litter pellet biomass for the generation of enriched hydrogen syngas using biomass gasifier. Model validation and sensitivity analysis were performed, and multi-objectives optimization of gasification parameters was carried out using RSM. The results show good agreement and optimized values of key parameters.
BIOMASS & BIOENERGY
(2022)
Article
Energy & Fuels
Himanshu Sharma, Amit Dhir
Summary: The study investigates the optimization of hydrogen enrichment of biogas through dry oxidative reforming using a nickel-cobalt bimetallic catalyst. The results show that reforming temperature and O-2/CH4 ratio have a significant impact on the hydrogen enrichment of biogas. The combination of response surface methodology and dry oxidative reforming proves to be an efficient approach for optimizing the H-2 enrichment of biogas and the generation of environment friendly fuel.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Energy & Fuels
Zantong Hu, Yonghong Deng, Jingxuan Li, Xiaojun Wu, Jinmei Bai, Junqiang Tian
Summary: This study investigates the micro transport mechanisms of shale matrix by analyzing the pressure drop curves under high- and low-pressure experimental conditions. The results show that slippage effect and Knudsen diffusion are the main mechanisms controlling the micro transport of shale matrix.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Engineering, Mechanical
Ajinkya Deshmukh, Laurent Petit, Muneeb-ullah Khan, Frederic Lamarque, Christine Prelle
Summary: This paper presents a novel micro-positioning device based on a 3D digital actuator, allowing planar motions of micro-objects in various applications. Two different approaches for positioning tasks are proposed and compared. The optimal positioning range along the x- and y-axis was found to be +/-5.40 mm and +/-7.05 mm.
Article
Physics, Multidisciplinary
Xiaowei Wang, Feng Han, Wenqing Zhang, Zhijun Zhang, Shiwei Zhang
Summary: This study numerically analyzes the rarefied gas flows triggered by temperature fields in the system of microbeams and investigates the effects of wall materials and roughness on the gas flow characteristics. The results indicate that the wall materials and surface roughness have an impact on the macroscopic characteristics of the gas flow, and the roughness of the cold beam surface weakens the effects of wall materials on Knudsen force.
EUROPEAN PHYSICAL JOURNAL PLUS
(2022)
Article
Automation & Control Systems
Hongtu Cheng, Fuping Zeng, Ju Tang, Xiaoxing Zhang, Zujian Huang, Xianzong Chao
Summary: This article first introduces the relationship between the intensity of photoacoustic (PA) signals of hydrogen sulfide (H2S) and multiple parameters of optical path conditions. Then, based on the response surface method (RSM), models of the PA signals' intensity are constructed, considering the distance from the laser head to the convex lens, the distance from the convex lens to the PA cell (PAC), and the distance from the geometric center line of the light beam to the acoustic sensor. Significance analysis is performed, indicating that the RSM model with a third-order configuration is preferred. The distances l1, l2, and l3 all have significant influences on the PA signals' intensity. Additionally, the performance of the full third-order model is improved by removing non-significant terms.
Article
Thermodynamics
Xiaowei Wang, Wenqing Zhang, Tianyi Su, Zhijun Zhang, Shiwei Zhang
Summary: The research reveals the significant impact of NEAC and TMAC variations on flow fields, thermal fields, pressure, and Knudsen force, with a nonlinear relationship observed between Knudsen force and NEAC as well as TMAC. Decreasing accommodation coefficients lead to an increase in the slope of the curve for Knudsen force, highlighting the sensitivity of these parameters to rarefied gas flows.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Chemistry, Multidisciplinary
Ananda Subramani Kannan, Tejas Sharma Bangalore Narahari, Yashas Bharadhwaj, Andreas Mark, Gaetano Sardina, Dario Maggiolo, Srdjan Sasic, Henrik Strom
Summary: This study addresses the challenge of modeling gas-solid flows in confined geometries at the nano-scale and the impact of introducing small particles on flow behavior. The results show that the presence of particles alters the paradoxical behavior of rarefied gas flows, with the effect becoming more significant as the particles increase in size.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Physical
Jiang Lan, Junlong Xie, Jianjun Ye, Wenzhu Peng, Xiaoyi Jiao
Summary: The multistage hydrogen Knudsen pump based on the thermal transpiration effect is studied for its potential application in micro-power systems. The effects of microchannel height, width, and parallel number on the pump's flow and transmission characteristics are analyzed using the N-S equations with the slip boundary. The results show that the thermal transpiration effect increases with the microchannel height and decreases with the microchannel width. The research findings provide important guidance for the application and design of the multistage hydrogen Knudsen pump in micro-power systems.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Mechanical
Shiwei Liu, Gaoliang Peng, Zhixiong Li, Weihua Li, Kang Jin, Hongzhao Lin
Summary: Inspired by the nonlinearity of origami cartons, a novel origami-inspired constant-force mechanism (OriCFM) is proposed. It adds equivalent springs at horizontal and oblique creases of the rigid origami mechanism to achieve a stable constant force output. The mechanical model is established based on geometric relationships, and the influence of structural parameters and spring stiffness on the constant force characteristic of the OriCFM is analyzed. Experimental results demonstrate the feasibility and effectiveness of the proposed mechanism.
MECHANISM AND MACHINE THEORY
(2023)
Article
Engineering, Multidisciplinary
Jiaxuan Leng, Paolo Gardoni, Mengmeng Wang, Zhixiong Li, Grzegorz Krolczyk, Shizhe Feng, Atilla Incecik, Weihua Li
Summary: Structural health monitoring (SHM) is regarded as a useful tool for managing and reducing safety risks in offshore wind farms. The jacket structures of offshore wind turbines are susceptible to damages from corrosion and fatigue in complex offshore environments. Effective SHM on jacket structures can significantly reduce operation risk and costs.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Dezhi Jiang, Haoxian Yu, Zhihan Wang, Adam Glowacz, Grzegorz Krolczyk, Zhixiong Li
Summary: In order to reduce carbon emissions from marine engines, IMO has established EEDI and EEXI. Currently, the focus is on optimizing the heat transfer performance of exhaust gas boilers on new ships to reduce EEDI, but there is limited research on the EEXI index of existing ships. This study investigates the influence of engine exhaust temperature and flow rate on boiler heat transfer coefficients and optimizes it to achieve the required EEXI value.
Article
Biophysics
Amir Sabernaeemi, M. Barzegar Gerdroodbary, Sajad Salavatidezfouli, Peiman Valipour
Summary: The use of stent-assisted coiling for intracranial aneurysms may lead to the deformation of local vasculature. This study investigates the hemodynamic features of blood flow in four different types of intracranial aneurysms with and without stent intervention. The results show that stenting decreases blood velocity, wall pressure, and wall shear stress, while it has inconsistent effects on neck inflow rate among the aneurysms.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2023)
Article
Engineering, Multidisciplinary
Mengyu Ji, Gaoliang Peng, Sijue Li, Wentao Huang, Weihua Li, Zhixiong Li
Summary: With the rapid development of artificial intelligence, various fault diagnosis methods based on deep neural networks have achieved great progress in mechanical system safety monitoring. However, the large redundancy and structure uncertainty of the fault diagnosis networks, as well as the challenge of deploying these networks on embedded platforms due to the large scales of network parameters, hinder the practical application of intelligent diagnosis algorithms. In this paper, an iterative automatic machine compression method called Iterative-AMC is proposed to address these issues. Experimental results demonstrate that the proposed method successfully compresses the scale of the original network and deploys the compressed fault diagnosis network on a small-scale FPGA chip.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Xiaoqiang Guo, Xinhua Liu, Paolo Gardoni, Adam Glowacz, Grzegorz Krolczyk, Atilla Incecik, Zhixiong Li
Summary: A novel conveyor belt damage detection method based on CenterNet is proposed in this paper, which utilizes a fusion of feature-wise and response-wise knowledge distillation to balance performance and network size. The Fused Channel-Spatial Attention is introduced to compress the latent feature maps efficiently, and Kullback-Leibler divergence is used to minimize the distribution distance between student and teacher networks. Experimental results show that the proposed lightweight object detection model achieves 92.53% mAP and 65.8 FPS. The proposed belt damage detection system demonstrates efficient and accurate detection of conveyor belt damages, indicating its high potential for deployment on end devices.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Lili Dai, Xu Zhang, Paolo Gardoni, He Lu, Xinhua Liu, Grzegorz Krolczyk, Zhixiong Li
Summary: To reduce safety accidents during coal mining, this paper proposes a large foreign object detection method based on machine vision. An adaptive weighted multi-scale Retinex (MSR) image enhancement algorithm is proposed to improve the image quality of the belt conveyor line. An improved multi-scale template matching algorithm is designed to screen and identify large foreign objects mixed in coals. The multi-layer perceptron (MLP) network optimized by the Gray Wolf algorithm is introduced for identification. Experimental results show that the identification accuracy reaches 98.8% for the large foreign objects. Furthermore, industrial field test is carried out in the Gaoyang coal mine, and the test results demonstrate that the identification accuracy of the proposed method is more than 95%. Hence, the proposed method meets the industrial detection requirements and can be used in practices for detecting large foreign objects.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Clinical Neurology
Saman Hariri, Milad Mirzaei Poueinak, Amin Hassanvand, M. Barzegar Gerdroodbary, M. Faraji
Summary: This study used computational fluid dynamics to simulate the blood flow in cerebral aneurysms treated with coiling embolism. The results showed that the wall shear stress (WSS) was highest near the neck of the aneurysm, while the oscillatory shear index (OSI) was highest near the dome of the aneurysm. Coiling reduced the OSI but had limited impact on the WSS near the neck.
INTERDISCIPLINARY NEUROSURGERY-ADVANCED TECHNIQUES AND CASE MANAGEMENT
(2023)
Article
Engineering, Multidisciplinary
Xinhua Liu, Peng Qi, Patrick Siarry, Dezheng Hua, Zhenjun Ma, Xiaoqiang Guo, Orest Kochan, Z. Li
Summary: This paper proposes an improved multiscale neural network method for face recognition in underground coal mining to address the issues of overstaffing and incomplete information. Experimental results show that the proposed method can accurately recognize miners in harsh environments.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Multidisciplinary Sciences
Hao Jiang, Zhiwei Lu, M. Barzegar Gerdroodbary, Amir Sabernaeemi, Sajad Salavatidezfouli
Summary: This study investigates the impact of the sac centerline on the rupture of a saccular aneurysm. Computational simulations and CFD analysis are used to examine WSS, OSI, pressure, and velocity within the aneurysm for different sac centerlines. The results show that higher blood HCT levels increase WSS and pressure on the aneurysm wall, while decreasing OSI and mean velocity. Furthermore, coiling techniques can significantly reduce the risk of rupture.
SCIENTIFIC REPORTS
(2023)
Article
Materials Science, Textiles
Peiman Valipour
Summary: A novel self-cleaning, antibacterial, and ultraviolet-resistant polyester fabric loaded with zinc stannate nanoparticles was prepared using an in situ sonochemical approach. The treated fabric displayed superior antibacterial activity, photo-catalytic self-cleaning property, and UV-blocking activity compared to the fabric treated with zinc oxide nanoparticles.
INDIAN JOURNAL OF FIBRE & TEXTILE RESEARCH
(2023)
Article
Acoustics
Lai Peng, Dezheng Hua, Xinhua Liu, Darius Andriukaitis, Grzegorz Krolczyk, Zhixiong Li
Summary: An active fluid-film bearing lubricated with magnetorheological fluid (MRF) is proposed to address the problems of insufficient load capacity and rotor vibration. The study designs the geometry of the MRF fluid-film bearing, analyzes its intelligent lubrication mechanism, and verifies the method's validity through numerical simulation. The simulation results show that the MRF bearing has the ability to suppress rotor vibration and the IGWO-PID controller has better response characteristics than other algorithms.
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Kuosheng Jiang, Chengsong Zhang, Baoliang Wei, Zhixiong Li, Orest Kochan
Summary: The operating conditions of RV reducer are complex and the fault signal sample is small. An improved DNCNN denoising algorithm is proposed to realize the failure mode recognition of RV reducer, and experimental analysis shows its effectiveness.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Information Systems
Xiaogang Li, Wei Rao, Dahui Lu, Jianhua Guo, Tianwen Guo, Darius Andriukaitis, Zhixiong Li
Summary: An automated guided vehicle obstacle avoidance system based on the grid method and deep learning algorithm is proposed. It effectively detects and avoids obstacles in a complex and dynamic environment, improving the transportation efficiency and reducing the average execution time of tasks in a simulated tobacco production workshop.
Article
Computer Science, Artificial Intelligence
Baiyi Wang, Zipeng Zhang, Patrick Siarry, Xinhua Liu, Grzegorz Krolczyk, Dezheng Hua, Frantisek Brumercik, Z. Li
Summary: The African vultures optimization algorithm (AVOA) has some shortcomings in solving complex problems. To address these issues, a nonlinear African vulture optimization algorithm (HWEAVOA) is proposed, which outperforms other algorithms in terms of convergence speed, optimization ability, and solution stability, according to experimental results.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
