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Reynolds number and diffusion coefficient of micro- and nano-aerosols in optical pipelines
摘要： In this study, the microscopic particle motion inside an optical pipeline, such as particle motion through a mechanical tube, is investigated. The photons in an optical tube guide the particles towards the center of the light beam by inducing photophoretic and radiation pressure forces. Laguerre–Gaussian- and Bessel-like beams are examples of such optical tubes. The Reynolds number of particle motion in optical tubes is investigated. The power of the light beam and the ratio of the particle radius to the light beam ring radius influence the turbulence of the particle flow and the value of the Reynolds number. The diffusion coefficient of particle movement in such pipelines is derived, which indicates that an optical tube is a good tool for guiding and trapping particles in micron- and nanometer-scale dimensions.
关键词： micro- and nano-aerosols,Reynolds number,radiation pressure,photophoretic force,optical pipeline,diffusion coefficient
更新于2025-09-09 09:28:46
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[IEEE 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) - Bangalore, India (2018.9.19-2018.9.22)] 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) - Detection of Ruptures in Pipeline Coatings Using Split Ring Resonator Sensor
摘要： This paper deals with the design and simulation of a Split Ring Resonator (SRR) for the detection of leaks, corrosion and cracks in pipeline networks intended for transporting crude oil, natural gas, petroleum products and other fluid products. The designed SRR is tuned to a resonant frequency of 6.1 GHz and is simulated using High Frequency Structure Simulator (HFSS) tool to detect the ruptures in pipeline coatings made of FR4 epoxy. The designed SRR is mounted on a Rogers substrate above the FR4 epoxy coating and shows a notable variation in the resonant frequency and quality factor whenever gaps are detected between the coating and the pipeline, which can be used for checking the pipeline integrity.
关键词： detection of ruptures,Split ring resonator (SRR),integrity,pipeline,epoxy coating
更新于2025-09-04 15:30:14
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Pipeline leakage identification and localization based on the fiber Bragg grating hoop strain measurements and particle swarm optimization and support vector machine
摘要： A pipeline's safe usage is of critical concern. In our previous work, a fiber Bragg grating hoop strain sensor was developed to measure the hoop strain variation in a pressurized pipeline. In this paper, a support vector machine (SVM) learning method is applied to identify pipeline leakage accidents from different hoop strain signals and then further locate the leakage points along a pipeline. For leakage identification, time domain features and wavelet packet vectors are extracted as the input features for the SVM model. For leakage localization, a series of terminal hoop strain variations are extracted as the input variables for a support vector regression (SVR) analysis to locate the leakage point. The parameters of the SVM/SVR kernel function are optimized by means of a particle swarm optimization (PSO) algorithm to obtain the highest identification and localization accuracy. The results show that when the RBF kernel with optimized C and γ values is applied, the classification accuracy for leakage identification reaches 97.5% (117/120). The mean square error value for leakage localization can reach as low as 0.002 when the appropriate parameter combination is chosen for a noise‐free situation. The anti‐noise capability of the optimized SVR model for leakage localization is evaluated by superimposing Gaussian white noise at different levels. The simulation study shows that the average localization error is still acceptable (≈500 m) with 5% noise. The results demonstrate the feasibility and robustness of the PSO–SVM approach for pipeline leakage identification and localization.
关键词： pipeline leakage localization,method of characteristics (MOC),FBG hoop strain sensor,support vector regression (SVR),particle swarm optimization (PSO) algorithm,support vector machine (SVM)
更新于2025-09-04 15:30:14
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Kinetics of pipeline steel corrosion studied by Raman spectroscopy-coupled vertical scanning interferometry
摘要： The corrosion and degradation of materials, such as pipeline steel, have a strong effect on both the environment and the economy. The quantification of these processes can therefore provide important information needed to manage their impact. In this study, a concept for the characterization and quantification of corrosion is demonstrated on API X70 steel immersed in 3.5 wt.% NaCl solution. Due to the difficulty of quantifying corrosion rates, e.g., through single mean values, a unique system is applied that directly couples Raman spectroscopy with vertical scanning interferometry to assess the physical and chemical aspects of steel corrosion kinetics. Vertical scanning interferometry allows the quantification of the topographical evolution of corrosion product formation and material dissolution in combination with the direct measurements of the respective rates. The Raman spectroscopy provides additional information about the (mineral) phases. Rate variations ranging from uniform corrosion to areas of high pit densities are quantified and analyzed in rate maps and subsequently visualized in rate spectra. The rate distribution is classified into different domains and pitting rates. Thus, a comprehensive quantitative assessment of the characteristic corrosion behavior is discussed.
关键词： pipeline steel,Raman spectroscopy,kinetics,vertical scanning interferometry,corrosion
更新于2025-09-04 15:30:14
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[IEEE 2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - Chengdu, China (2018.5.7-2018.5.11)] 2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - A Low Power Consumption Wireless Sensor System with Wireless Power Harvesting for Oil Pipeline Monitoring
摘要： In this paper, a low power wireless sensor system for oil pipeline monitoring based on wireless energy harvesting is discussed. The system uses vibration sensor to detect the vibration state of the oil pipeline, and transmits the information to the sink node through the low power wireless sensor node which is supplied by wireless energy harvesting and rechargeable battery. Based on the introduction of the whole system construction, this paper focuses on the design of low-power wireless sensor nodes, including wireless energy harvesting, low-power wireless node circuit and low-power transmission protocol. The test results show that low power design strategy and wireless energy harvesting as energy supplement can effectively improve the practicability of the system.
关键词： wireless energy harvesting,oil pipeline monitoring,wireless sensor system,low power
更新于2025-09-04 15:30:14