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Highly Sensitive Ultrathin Flexible Thermoplastic Polyurethane/Carbon Black Fibrous Film Strain Sensor with Adjustable Scaffold Networks

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Nano-Micro Letters 2021年第4期13卷 159-177页

作者： Xin Wang Xianhu Liu Dirk W.Schubert Institute of Polymer Materials Friedrich-Alexander-University Erlangen-NurembergMartensstr.791058 ErlangenGermany National Engineering Research Center for Advanced Polymer Processing Technology Zhengzhou UniversityZhengzhou 450002People’s Republic of China Bavarian Polymer Institute Dr.Mack‑Strasse 7790762 FürthGermany

In recently years,high-performance wearable strain sensors have attracted great attention in academic and ***,a conductive polymer composite of electrospun thermoplastic polyurethane(TPU)fibrous film matrix-embedded carbon black(CB)particles with adjustable scaffold network was fabricated for high-sensitive strain *** work indicated the influence of stereoscopic scaffold network structure built under various rotating speeds of collection device in electrospinning process on the electrical response of TPU/CB strain *** structure makes the sensor exhibit combined characters of high sensitivity under stretching strain(gauge factor of 8962.7 at 155%strain),fast response time(60 ms),outstanding stability and durability(>10,000 cycles)and a widely workable stretching range(0–160%).This high-performance,wearable,flexible strain sensor has a broad vision of application such as intelligent terminals,electrical skins,voice measurement and human motion ***,a theoretical approach was used to analyze mechanical property and a model based on tunneling theory was modified to describe the relative change of resistance upon the applied ***,two equations based from this model were first proposed and offered an effective but simple approach to analyze the change of number of conductive paths and distance of adjacent conductive particles.

关键词： Strain sensor Electrospinning Electronic skin fitting model

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Species Abundance Distribution Patterns of a Toona ciliata Community in Xingdoushan Nature Reserve

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Journal of Resources and Ecology 2019年第5期10卷 494-503页

作者： WANG Yang ZHU Shengjie LI Jie HE Xiuling JIANG Xiongbo ZHANG Min Hubei Ecology Polytechnic College Wuhan430200China Guangdong Polytechnic of Environmental Protection Engineering FoshanGuangdong528216China

With the goal of model fitting species abundance distribution patterns of the tree,shrub and herb layers of the natural Toona ciliata community in Xingdoushan Nature Reserve,Enshi Autonomous Prefecture,Hubei Province,we used the data collected from the field survey and employed different ecological niche *** models tested were the broken stick model(BSM),the overlapping niche model(ONM)and the niche preemption model(NPM),as well as three statistic models,the log-series distribution model(LSD),the log-normal distribution model(LND)and the Weibull distribution model(WDM).To determine the fitted model most suitable to each layer,the fitting effects were judged by criteria of the lowest value of Akaike Information Criterion(AIC),Chi-square and the K-S values with no significant difference(P>0.05)between the theoretical predictions and observed species abundance distribution *** result showed:(1)The fitting suitability and goodness of fit of the tree,shrub and herb layers by using the three ecological niche models were ranked as:NPM>BSM>*** the three statistical models,by accepting the fitting results of the three layers,WDM was the best fitting model,followed by *** rejecting the fitting tests of the herb layer,LSD had the worst fitting *** goodness of the statistical models was ranked as:WDM>LND>*** general,the statistical models had better fitting results than the ecological models.(2)*** was the dominant species of the tree *** species richness and diversity of the herb layer were much higher than those of either the tree layer or the shrub *** species richness and diversity of the shrub layer were slightly higher than those of the tree *** community evenness accorded to the following order:herb>shrub>*** the fitting results of the different layers,different ecological niche models or statistical models with optimal goodness of fit and ecological significance can be given priority to in studying the s

关键词： Toona ciliata community tree-shrub-herb layer niche model statistical model species abundance distribution pattern fitting model

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Research on Optimization Analysis Method of Exhaust System under Multiple Loading Conditions

Research on Optimization Analysis Method of Exhaust System u...

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2019中国汽车工程学会年会

作者： Qiao Yan Qu Xintian Yu Guiqi Zhan Shuangxi Kang Wenjun Dongfeng Motor Company Technology Center

The exhaust system is connected to the engine and mounted on the body-in-white with lifting lugs and *** vibration of the engine can be transmitted to the exhaust system through the bellows,which affects the NVH performance of the *** design of the vibration isolation,the stiffness of the lifting lugs,the strength and other performance parameters should be taken into *** exhaust system has many variable parameters,including the stiffness of the bushing,the shape of structure,the thickness of the exhaust pipes,and so *** is difficult to find the optimal parameters of the exhaust system based on conventional *** order to solve the problem,In order to solve the problem,the HyperWorks software was used to simulate the exhaust *** HyperStudy,the DOE design method is used to create a response fitting approximate model,and the optimal solution is obtained by genetic *** in the finite element model of the exhaust system,the size and shape optimization design were carried out to obtain the global optimal *** results revealed that this analytical method is practical and suggestive for multi-objective optimization analysis of exhaust system.

关键词： exhaust system multiple loading conditions optimal parameters DOE fitting model optimization

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Integrity analysis of GPS Signal-in-Space error

Integrity analysis of GPS Signal-in-Space error

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第四届中国卫星导航学术年会

作者： Dongjin Wang Zhigang Huang Rui Li School of electronic and information engineering of Beihang University

The space segment failure is one of the main sources of system integrity risk. This paper proposes an integrity analysis method to analyze the integrity risk of signal in space. Firstly, the original data should be preprocessed to calculate measured signal-in-space error. Secondly, the regularity of the errors is estimated by the spectrogram, followed by fitting orbit error with the least squares method based on Fourier series and AR model and fitting clock error with AR model. In order to detect the abnormal values of the signal-in-space errors roughly, the paper set the condition that when the difference between the original error and the fitted values is more than 4.42 times the standard deviation of fitted values, the abnormal data may exist. Then it’s necessary to identify specific abnormal factors which conclude satellite unhealthy, duplicate broadcast ephemeris and ephemeris missing to statistics the according abnormal rate. The simulation results of the measured data of different type in-orbit satellite which is from 2002 to 2011 show that the abnormal rate of signal in space is 10 -4 per hour, which meet the index that three satellites may fault every year, therefore the analysis method is verified to be effective.

关键词： Signal-in-space error Integrity risk fitting model abnormal rate

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