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Supercritical thermophysical properties prediction of multi-component hydrocarbon fuels based on artificial neural network models

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Science China(Technological Sciences) 2022年第4期65卷 903-919页

作者： MING ZhenYang LIU HaiFeng wang qianlong YUE ZongYu CUI YanQing WEN MingSheng YAO MingFa State Key Laboratory of Engines Tianjin UniversityTianjin 300072China

A good understanding of the thermophysical properties of hydrocarbon fuels at supercritical pressure is important to research on experiment and numerical simulation of fuel supercritical *** measurements are difficult to conduct directly because of the extremely high pressure and high *** this study,back propagation(BP)neural network,BP optimized by mind evolution algorithm(MEA-BP)and BP neural network optimized by genetic algorithm(GA-BP)are established to determine the nonlinear temperature-dependent thermophysical properties of density,viscosity,and isobaric specific heat(C_(2))of hydrocarbon fuels at supercritical ***,approximate formulas for these properties prediction are primarily proposed using polynomial *** this paper,models that can predict three types of physical properties of three kinds of hydrocarbon fuels and their mixtures in a wide temperature range under supercritical pressure are *** the prediction of density and C_(2),BP neural network has a good prediction *** results show that the MAPE is lower than 2%in the prediction of density and C_(2),but the MAPE of viscosity prediction is slightly higher than 5%using ***,MEA and GA are used to optimize the prediction of *** optimization effect and computation of the MEA is better than that of GA because MEA does not have the local optimization and prematurity *** present work offers an efficient tool to predict the thermophysical properties of hydrocarbon fuels over a wide range of temperatures under supercritical pressure which can be easily extended to other fuels of *** will be beneficial to the experiment and numerical simulation studies of supercritical sprays.

关键词： alternative fuel supercritical spray back propagation neural network optimization algorithms thermophysical properties

The effect of ammonia on soot formation in ethylene diffusion flames

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Science China(Technological Sciences) 2023年第12期66卷 3422-3438页

作者： wang qianlong YAN ZhiWen LI ChaoMin CUI YanQing WEN MingSheng LIU HaiFeng YAO MingFa State Key Laboratory of Engines Tianjin UniversityTianjin 300072China

This paper originally investigates the effect of NH_(3) dilution on soot formation when NH_(3) is gradually added into the fuel stream in an ethylene laminar diffusion flame stabilized on a Santoro *** variations of flame diameter and two flame heights,i.e.,mixture-strength flame height and visible flame height are carefully documented and ***,local soot volume fraction(SVF)and soot temperature fields are simultaneously measured by compact-modulated absorption and emission technique,and the corresponding measurement random errors are also provided by the error propagation calculations for the first *** the reported measurement random errors of SVF and soot temperature fields are estimated within the range of±0.07–±0.08 ppm and±40–±91 K,*** an original database,the concomitantly measured SVF and soot temperature distributions are provided as high-fidelity datasets for refining soot formation model that is overrode by NH_(3).In addition,the flame cross-section average SVF F_(soot)(z)is calculated for every NH_(3) diluted flame,and the relative contributions of NH_(3) dilution and chemical effect are quantitatively assessed in terms of F_(max)-X_(NH_(3))*** is found that when X_(NH_(3))30%,the chemical effect and dilution effect of ammonia are gradually ***,through modeling of the soot formation rate V in the flames,the relative contributions of chemical effect,dilution effect and thermal effect of NH_(3)are further novelty discriminated within the X_(NH_(3))from 0 to 46%and it is shown that NH_(3) chemical effect plays the dominate role in soot suppression,then the dilution effect and the thermal one at the least.

关键词： The effect of ammonia on soot formation in ethylene diffusion flames

Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations

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Science China Earth Sciences 2014年第7期57卷 1671-1680页

作者： SHI Zhou wang qianlong PENG Jie JI WenJun LIU HuanJun LI Xi Raphael A VISCARRA ROSSEL College of Environmental and Resource Sciences Zhejiang University Cyrus Tang Center for Sensor Materials and Application Zhejiang University College of Plant Science Tarim University College of Resources and Environment Northeast Agricultural University CSIRO Land & Water Bruce E. Butler Laboratory

Soil visible-near infrared diffuse reflectance spectroscopy(vis-NIR DRS)has become an important area of research in the fields of remote and proximal soil *** technique is considered to be particularly useful for acquiring data for soil digital mapping,precision agriculture and soil *** this study,1581 soil samples were collected from 14 provinces in China,including Tibet,Xinjiang,Heilongjiang,and *** samples represent 16 soil groups of the Genetic Soil Classification of *** air-drying and sieving,the diffuse reflectance spectra of the samples were measured under laboratory conditions in the range between 350 and 2500 nm using a portable vis-NIR *** the soil spectra were smoothed using the Savitzky-Golay method with first derivatives before performing multivariate data *** spectra were compressed using principal components analysis and the fuzzy k-means method was used to calculate the optimal soil spectral *** scores of the principal component analyses were classified into five clusters that describe the mineral and organic composition of the *** results on the classification of the spectra are comparable to the results of other similar *** predictions of soil organic matter concentrations used a combination of the soil spectral classification with multivariate calibration using partial least squares regression(PLSR).This combination significantly improved the predictions of soil organic matter(R2=0.899;RPD=3.158)compared with using PLSR alone(R2=0.697;RPD=1.817).

关键词： diffuse reflectance spectroscopy vis-NIR soil organic matter soil spectral library China

Highly sensitive wearable sensor based on a flexible multi-layer graphene film antenna

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Science Bulletin 2018年第9期63卷 574-579页

作者： Danli Tang qianlong wang Zhe wang Quantao Liu Bin Zhang Daping He Zhi Wu Shichun Mu Hubei Engineering Research Center of Rf-Microwave Technology and Application School of ScienceWuhan University of technologyWuhan 430070China Shenzhen Institute of Advanced Graphene Application and Technology(SIAGAT) Shenzhen 518106China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhan 430070China

The use of advanced carbon nanomaterials for flexible antenna sensors has attracted great attention due to their outstanding electromechanical properties. However, carbon nanomaterial based composites have yet to overcome drawbacks, such as low conductivity and toughness. In this work, a flexible multi-layer graphene film(FGF) with a high conductivity of 10~6 S/m for antenna based wearable sensors is investigated. A 1.63 GHz FGF antenna sensor exhibits significantly high strain sensitivity of 9.8 for compressive bending and 9.36 for tensile bending, which is super than the copper antenna sensor(5.39 for compressive bending and 4.05 for tensile bending). Moreover, the FGF antenna sensor shows very good mechanical flexibility, reversible deformability and structure stability, and thus is well suited for applications like wearable devices and wireless strain sensing.

关键词： Multi-layer graphene film Flexibility Antenna based sensor High performance

Flexible and transparent graphene/silver-nanowires composite ?lm for high electromagnetic interference shielding effectiveness

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Science Bulletin 2019年第8期64卷 540-546页

作者： Ning Zhang Zhe wang Rongguo Song qianlong wang Hongye Chen Bin Zhang Haifei Lv Zhi Wu Daping He Hubei Engineering Research Center of RF-Microwave Technology and Application School of Science Wuhan University of Technology Shenzhen Institute of Advanced Graphene Application and Technology (SIAGAT)

Herein, an efficient approach to prepare flexible, transparent, and lightweight films based on graphene nanosheets(GNS) and silver nanowires(AgNWs) for high electromagnetic interference(EMI) shielding effectiveness(SE) has been explained. High-conductive GNS were fabricated by liquid phase stripping and composited with AgNWs by a two-step spin-coating method. Owing to the high transparency, good conductivity, and homogeneous distribution of both GNS and AgNWs, the obtained GNS/AgNWs film exhibits superb EMI SE and light transmittance, yielding a significantly high EMI SE up to 26 dB in both Ku-band and K-band and light transmittance higher than 78.4%. Moreover, this GNS/AgNWs film shows good flexibility and excellent structural stability. The obtained flexible, light and transparent film could have a great potential for transparent EMI shielding and smart electronics.

关键词： Flexibility Transparent Electromagnetic interference shielding Graphene Silver nanowires

High conductive graphene assembled films with porous micro-structure for freestanding and ultra-low power strain sensors

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Science Bulletin 2020年第16期65卷 1363-1370,M0004页

作者： Zhe wang Peng Li Rongguo Song Wei Qian Huang Zhou qianlong wang Yong wang Xianci Zeng Lin Ren Shilin Yan Shichun Mu Daping He Hubei Engineering Research Center of RF-Microwave Technology and Application.School of Science Wuhan University of TechnologyWuhan 430070China Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics School of ScienceWuhan University of TechnologyWuhan 430070China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China

Graphene emerges as an ideal material for constructing high-performance strain sensors,due to its superior mechanical property and high ***,in the process of assembling graphene into macroscopic materials,its conductivity decreases ***,tedious fabrication process hinders the application of graphene-based strain *** this work,we report a freestanding graphene assembled film(GAF)with high conductivity((2.32±0.08)×105 S m-1).For the sensitive materials of strain sensors,it is higher than most of reported carbon nanotube and graphene *** advantages enable the GAF to be an ultra-low power consumption strain sensor for detecting airflow and vocal *** resistance of the GAF remains unchanged with increasing temperature(20-100℃),exhibiting a good thermal ***,the GAF can be used as a strain sensor directly without any flexible substrates,which greatly simplifies the fabrication process in comparison with most reported strain ***,the GAF used as a pressure sensor with only^4.7μW power is *** work provides a new direction for the preparation of advanced sensors with ultra-low power consumption,and the development of flexible and energy-saving electronic devices.

关键词： Strain sensor High conductivity Graphene assembled film Freestanding Ultra-low power consumption

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基于重计算的深度学习加速器容错设计

合肥工业大学学报（自然科学版） 2023年第1期46卷 54-59页

作者：王乾龙许达文合肥工业大学电子科学与应用物理学院安徽合肥230601

2D计算阵列由于高并行性且通信简单,在深度学习加速器(deep learning accelerator,DLA)中经常负责处理卷积的大量计算,若出现硬件故障,则会导致计算错误,从而造成预测精度大幅下降。为了修复2D计算阵列中的故障,文章提出一种用于容错DL... 详细信息

2D计算阵列由于高并行性且通信简单,在深度学习加速器(deep learning accelerator,DLA)中经常负责处理卷积的大量计算,若出现硬件故障,则会导致计算错误,从而造成预测精度大幅下降。为了修复2D计算阵列中的故障,文章提出一种用于容错DLA的重计算结构(recomputing architecture,RCA),与传统的在阵列中添加冗余的即时故障修复策略不同,它具有一组基于冗余的重计算单元(recomputing unit,RCU),可以在稍后的周期中一对一地进行故障单元的重新计算。实验结果表明,与之前的容错方案相比,该文提出的方法显示出更高的故障修复能力和可扩展性,并且芯片面积占用更少。

关键词：重计算结构(RCA) 深度学习加速器(DLA) 容错重计算

Full waveform inversion with spectral conjugategradient method

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Global Geology 2017年第1期20卷 40-45页

作者： LIU Xiao LIU Mingchen SUN Hui wang qianlong College of Geo-Exploration Science and Technology Jilin UniversityChangchun 130026China

Spectral conjugate gradient method is an algorithm obtained by combination of spectral gradient method and conjugate gradient method,which is characterized with global convergence and simplicity of spectral gradient method,and small storage of conjugate gradient ***,the spectral conjugate gradient method was proved that the search direction at each iteration is a descent direction of objective function even without relying on any line search *** conjugate gradient method is applied to full waveform inversion for numerical tests on Marmousi *** authors give a comparison on numerical results obtained by steepest descent method,conjugate gradient method and spectral conjugate gradient method,which shows that the spectral conjugate gradient method is superior to the other two methods.

关键词： ful l waveform inversion spectral conjugate gradient method conjugate gradient method steepest descent method

基于非支配遗传算法的船舶物量测算及平衡优化

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船舶工程 2022年第3期44卷 132-138页

作者：王乾隆徐胜文柳存根刘晗上海交通大学海洋工程国家重点实验室上海200240 高新船舶与深海开发装备协同创新中心上海200240

对于产品矩阵多元、场地资源受限的船企来说,船舶物量测算及平衡的范围、深度和颗粒度有待提高。在资源受限的情况下,应用非支配遗传算法(NSGA-Ⅲ)对不同建造线表下的船舶物量进行测算及平衡优化,生成企业级分段生产计划,可为船企评价... 详细信息

对于产品矩阵多元、场地资源受限的船企来说,船舶物量测算及平衡的范围、深度和颗粒度有待提高。在资源受限的情况下,应用非支配遗传算法(NSGA-Ⅲ)对不同建造线表下的船舶物量进行测算及平衡优化,生成企业级分段生产计划,可为船企评价建造线表提供科学依据,帮助领导层做出更加精准的经营决策。在分析船舶建造模式及生产计划体系特点的基础上,建立了资源受限条件下的物量测算及平衡方法及模型。结合船厂数据进行物量测算及平衡,对该方法的有效性进行了验证。

关键词：物量测算及平衡分段生产计划非支配遗传算法建造线表