Transversal vibrations of the axially moving sandwich belts

Inspired by literature on free transversal vibrations of one axially moving belt, we derive and solve analytically coupled partial differential equations of the transversal vibrations of an axially moving sandwich double-belt system. A numerical experiment and visualization are carried out.     

Modeling of bubble detachment in reduced gravity under the influence of electric fields and experimental verification

A simple model for predicting bubble volume and shape at detachment in reduced gravity under the influence of electric fields is described in the paper. The model is based on relatively simple thermodynamic arguments and relies on and combines several models described in the literature. It accounts for the level of gravity and the magnitude of the electric field. For certain conditions of bubble development the properties of the bubble source are also considered. Computations were carried out for a uniform unperturbed electric field for a range of model parameters, and the significance of model assumptions and simplifications is discussed for the particular method of bubble formation. Experiments were conducted in terrestrial conditions and reduced gravity (during parabolic flights in NASAs KC-135 aircraft) by injecting air bubbles through an orifice into the electrically insulating working fluid, PF5052. Bubble shapes visualized experimentally were compared with model predictions. Measured data and model predictions show good agreement. The results suggest that the model can provide quick engineering estimates concerning bubble formation for a range of conditions (both for formation at an orifice and boiling) and such a model reduces the need for complex and expensive numerical simulations for certain applications. a Major axis of spheroid (m) - a _m Measured bubble height (m) - b Minor axis of spheroid (m) - b _m Measured bubble width (m) - A, B, C, F Parameters of the Kumar-Kuloor model - a/b Computed aspect ratio - a _m /b _m Measured aspect ratio - D Orifice diameter (m) - E Magnitude of the electric field (V/m) - g Gravitational acceleration (m/s²) - g _t Terrestrial gravity (g _t = 9.81 m/s²) - N _w Electrical Weber number - p Pressure (Pa) - Q Volume flow rate (m³/s) - r Radius of the spherical bubble (m) - R Radius of curvature at the tip of the bubble (m) - t Time (s) - t Time interval (s) - T Temperature (°C) - U Electrical potential (V) - u Velocity (m/s) - V Volume (m³) - x, y Dimensionless coordinates of the Cartesian coordinate system - x, y Scaled coordinates, Cheng-Chaddock model - X, Y Dimensional coordinates of the Cartesian coordinate system - Characteristic wave number (m^–1) - Eötvös number - Absolute dielectric permittivity (F/m) - Contact angle (deg.) - Gibbs free energy (J) - Surface tension (N/m) - Dynamic viscosity (Pa s) - Density (kg/m³) - cr Critical value - d Detachment - eq Equilibrium - g Gas - K Refers to the Kumar-Kuloor model - l Liquid - m Measured value - t Terrestrial     

Determination of wavefront aberrations using a Fabry-Perot cavity

A new method for detecting wavefront aberrations using a Fabry-Perot cavity is described. A Fabry-Perot cavity transmits the cavity eigenmode which satisfies a resonance condition, while the other modes are reflected from the cavity. Utilizing this mode discrimination property, we can extract aberration components from incident aberrated light as reflected light from the cavity. Under the condition of a weak aberration, the amplitude profile of the reflected light can be approximated to the wavefront aberration. We can therefore determine the wavefront aberrations in a visualized form with the technique. We present the detection scheme and the first experimental verification of the technique. The detected aberration using this technique was in good agreement with the result on the basis of a conventional wavefront sensor.     

Flow boiling visualization in a vertical circular minichannel at high vapor quality

This paper reports on an experimental study of saturated flow boiling of R134a inside a circular vertical quartz tube coated with a transparent heater. The inner diameter of the tube was 1.33 mm and the heated length 235.5 mm. The flow pattern at high vapor qualities and the dryout of the liquid film were studied using a high speed CCD camera at the mass fluxes 47.4 and 124.4 kg/m² s in up flow at 6.425 bar. The heat fluxes ranged from 5 to 13.6 kW/m² for the lower mass flux and from 20 to 32.4 kW/m² for the higher mass flux.

The behavior of the flow close to dryout was found to be different at low and high mass flux. At low mass flux the location of the liquid front fluctuated with waves passing high up in the tube. In between the waves, a thin film was formed, slowly evaporating without breaking up.

At high mass flux the location of the liquid front was more stable. In this case the liquid film was seen to break up into liquid streams and dry zones on the tube wall.     

A novel online visualization system for observing polymer extrusion foaming

Cell nucleation and premature cell growth in extrusion foaming are critical to elaborate the morphology of final foams. These courses happen in the extrusion die which has been unknown for real extrusion foaming process. In this study, a novel visualization system was developed to online observe the cell nucleation and evolution behavior in the extrusion die. The cell evolution and real time pressure along the flow direction could also be obtained with the system. It was found that the solution pressure P_solution was influential to the critical nucleation radius R_cr and the nucleation rate N₀. The higher screw rotating speed corresponded to higher P_solution, lower in die N₀ and less premature cells, while higher cell density for extrude foams. In addition, premature cells with radius over critical break radius R_crb would break into several small cells under sufficient stress gradient in the extrusion flow field.     

Flexibility and coordination among acts of visualization and analysis in a pattern generalization activity

This study aims at exploring processes of flexibility and coordination among acts of visualization and analysis in students’ attempt to reach a general formula for a three-dimensional pattern generalizing task.The investigation draws on a case-study analysis of two 15-year-old girls working together on a task in which they are asked to calculate the number of blocks in a three-dimensional tower of different heights. The students’ activity was video- and audio-taped, fully transcribed and lasted for 50 min.The analysis discloses several instances of how the students were linking acts of visualization and analysis to reach a general formula. However, regarding flexibility, we found that it was more natural for the students to change visual format than to change analytical position and direction in their attempts to generalize the three-dimensional pattern of the task in a closed formula.     

高光谱技术融合纹理信息的羊肉总酚浓度快速检测

为了研究可见-近红外（Vis-NIR）高光谱成像对滩羊肉中总酚浓度（TPC）快速检测的可行性,基于光谱信息融合图像纹理特征建立TPC含量的预测模型,实现滩羊肉中TPC含量的可视化表达。将样本集根据3∶1的比例划分成校正集和预测集,采用多元散射校正（MSC）、基线校准（Baseline）、去趋势（De-trending）、卷积平滑（S-G）、标准正态变量变换（SNV）、归一化（Normalize）等校正方法去除原始光谱中不良散射等干扰信息。通过竞争性自适应加权抽样（CARS）、引导软收缩（BOSS）、区间变量迭代空间收缩法（iVISSA）和变量组成集群分析-迭代保留信息变量（VCPA-IRIV）提取TPC浓度的代表性特征光谱。采用灰度共生矩阵（GLCM）算法依次提取肉样第1主成分图像中纹理特征。基于特征光谱及图谱融合信息建立滩羊肉中TPC含量的偏最小二乘回归（PLSR）与最小二乘支持向量机（LSSVM）预测模型并进行对比分析。结果表明,（1）利用De-trending+SNV预处理后的光谱数据建立的PLSR预测模型性能较好,其R2_C=0.874 9,R2_P=0.793 2;（2）采用CARS,BOSS,iVISSA和VCPA-IRIV分别提取出了23,35,57和43个特征波长,占全光谱的18.4%,28%,45.6%和16.8%;（3）采用BOSS法提取的关键性波长建立的LSSVM模型性能较好,其R2_C=0.851 3,R2_P=0.745 9,RMSEC=0.116 8和RMSEP=0.155 0;（4）与基于特征波长建立的预测模型相比,BOSS-ASM-ENT-CON-LSSVM模型为滩羊肉中TPC浓度的最佳图谱融合预测模型（R2_C=0.850 0,R2_P=0.770 9,RMSEC=0.116 0,RMSEP=0.144 7）;（5）利用BOSS-PLSR简化模型将TPC浓度反演到样本的高光谱图像上,通过色彩直观化形式展现出来,实现TPC含量的可视化表达。     

A Model for Studying Display Methods of Statistical Graphics

Abstract

A method of statistical graphics consists of two parts: a selection of statistical information to be displayed and a selection of a visual display method to encode the information. Some display methods lead to efficient, accurate visual decoding of encoded information, and others lead to inefficient, inaccurate decoding. It is only through rigorous studies of visual decoding that informed judgments can be made about how to choose display methods. A model has been developed to provide a framework for the study of visual decoding. The model consists of three parts: (1) a two-way classification of information on displays—quantitative-scale, quantitative-physical, categorical-scale, and categorical-physical; (2) a division of the visual processing of graphical displays into pattern perception and table look-up; (3) a specification of visual operations that are employed to carry out pattern perception and table look-up. Display methods are assessed by studying the visual operations to which they lead. Studies use the theory and experimental technique of various areas of vision research including psychophysics, cognitive psychology, and computational vision. This process is illustrated by studies of three display methods: visual reference grids for graphs with juxtaposed panels and common scales, encoding a categorical variable on a scatterplot by the type of plotting symbol, and choosing the aspect ratio of a factor-response graph.     

Visualization of Categorical Response Models: From Data Glyphs to Parameter Glyphs

The multinomial logit model is the most widely used model for nominal multi-category responses. One problem with the model is that many parameters are involved, and another that interpretation of parameters is much harder than for linear models because the model is nonlinear. Both problems can profit from graphical representations. We propose to visualize the effect strengths by star plots, where one star collects all the parameters connected to one term in the linear predictor. In simple models, one star refers to one explanatory variable. In contrast to conventional star plots, which are used to represent data, the plots represent parameters and are considered as parameter glyphs. The set of stars for a fitted model makes the main features of the effects of explanatory variables on the response variable easily accessible. The method is extended to ordinal models and illustrated by several datasets. Supplementary materials are available online.     

Immersive Projection Technology for Visual Data Mining

The PlatoCAVE, the MiniCAVE, and the C2 are immersive stereoscopic projectionbased virtual reality environments oriented toward group interactions. As such they are particularly suited to collaborative efforts in data analysis and visual data mining. In this article, we provide an overview of virtual reality in general, including immersive projection technology, and the use of stereoscopic displays for data visualization. We discuss design considerations for the construction of these immersive environments including one-wall versus four-wall implementations, augmented reality, stereoscopic placement, head tracking, the use of LCD devices, polarized light stereo, voice control, and image synchronization.