Visual customization: Diversity in color preferences in the automotive interior and implications for interior design

Evolving multimodal mobility needs influences established human–product relationships and requires a deeper insight into color preferences for car interiors. Hence, a study was conducted in which 204 members of a web contest created 1,265 designs. After a peer‐evaluation process, 53 most‐appreciated and 34 least‐preferred interior color compositions were identified and compared to identify patterns in color choices. Besides, visual lightweight design by layering of large interior components such as the seat, a modest use of color and patterns accompanied by repetition and the framing of the entire interior to create a feeling of spaciousness were found. Additionally, differences in the type of color between most and least favored color designs were found. Brown and beige occur more frequently among the top‐ than the worst‐rated designs. Larger surfaces are favored in lighter hues and smaller components in darker hues.     

基于ANSYS的带簧油封径向力分析

提出一种考虑弹簧初应力的油封径向力有限元计算方法,即通过二维轴对称模型实现带簧油封的径向力计算。该模型中通过圆管来等效油封弹簧,并可以实现弹簧初应力现象的模拟;圆管模型的材料属性由2种状态下(弹簧装配在油封上和油封装配在轴上)弹簧的拉力转换得到,转换关系通过试验与仿真相结合的办法获得,最终实现了带簧油封2种状态下的径向力有限元计算。通过径向力测量仪验证计算结果的正确性,同时发现弹簧所产生的径向力并非百分之百转化为油封径向力。     

SC15/182F分体式电驱梭车的研制及应用

梭车是短壁机械化开采技术的重要运输设备。简要介绍了现有梭车的现状及应用局限,详细阐述了分体梭车的主要设计思路,重点介绍了薄壁分体式机架的结构特征,阐述了分体梭车在模块化卷电缆装置、四象限变频驱动等方面的技术升级,并介绍了分体梭车在国内矿区的应用情况。     

全球连续铸轧生产铝汽车板专利技术发展态势分析

随着汽车轻量化策略的持续推进,作为汽车车身应用轻量化材料的铝合金板已成为汽车轻量化领域的研发重点,而连续铸轧技术是生产汽车车身铝板较为先进的技术之一。本文通过收集德温特创新索引国际专利数据库(DII)、普若凯斯特专利数据库(Proquest Dialog)等涉及连续铸轧生产铝汽车板的专利,利用汤姆森数据分析软件(Thomson Data Analyzer)等主流情报分析工具,对连续铸轧生产汽车板技术在全球的研发现状、态势及主要技术方向,以及美国铝业公司连续铸轧生产铝汽车板专利发展态势进行分析。     

A CFD-based design scheme for the perforated distributor with the control of radial flow

In the present study, flow homogenization by distributors in chemical apparatus is studied as a process of flow control and its mechanism is reconsidered from the model of resistance to the model of radial flow. This process is composed of four consecutive behaviors: the generation, distribution, conversion of the radial flow and the momentum transfer of axial flow. Based on these flow behaviors, the novel distributor is designed as the combination of perforated plate in the center area and vertical guiding baffles around. Taking the wire-screen catalytic reactor as a case study, numerical simulation is employed to optimize the structure of distributor and a CFD-based design scheme called “flow field analysis scheme” is proposed. Numerical simulation is conducted in the apparatus with a diffuser (inlet D₀ = 500 mm, main part D₁ = 3,000 mm) under the gas velocity of 3.6 m/s (corresponding Re ≈ 12,000). The numerical results from optimized distributor show that compared with the traditional perforated plate, the flow field adjusted by the novel distributor can achieve a better flow uniformity with lower energy consumption. The theoretical analysis and numerical results are also validated and proved by the experimental results.     

免充气塑料轮胎支撑结构对性能的影响

免充气塑料轮胎的支撑结构对轮胎性能有直接影响。本研究提出了一种具有连续支撑结构的免充气轮胎,利用ABAQUS软件,与两种现有免充气轮胎进行应力大小、接地性能以及刚度性能的对比。结果表明:连续支撑结构可改善免充气轮胎的应力,接地压力的分布均匀性;同时,连续支撑结构轮胎的纵向刚度、横向刚度均远好于同规格现有免充气轮胎和子午线轮胎;扭转刚度性能接近同规格子午线轮胎。通过分析可知,连续支撑结构轮胎在复杂工况路面有显著的优势,具有良好的发展前景。     

Ship length distribution modeling on China offshore and ability evaluation of radar ship classification

Radial size estimation using radar high-resolution range profiles(HRRPs) and heading angle estimation are the main means for ship classification.The classification ability is closely related to the range resolution of the radar,precision of radial size estimation,and prior distribution of ship lengths in different offshore areas.We collected the AIS information on about 30 000 ships and their lengths in the four offshore areas of China in the ship information net of China.By fitting the data of ship lengths in each offshore area,it is found that the Weibull distributions provide good-of-fitness to the ship lengths and the parameters in individual area are rather different.Based on the prior distributions of ship lengths,we derived the quantitative relationship between the correct classification probability of big-moderate-small ships and the estimate error of ship radial size.The results indicate that the condition for the big-moderate-small correct classification probability in the offshore areas of China to be up to 90% is that the estimate errors of the ship radial size estimates falls into the interval(-12.67 m,9.41 m) when the heading angle of the ship is between ±75 degrees.     

SJ5型烧结车改进

介绍了铁路运输分公司SJ₅型烧结车的运行状态,阐述了牙,型烧结车的结构,分析了该车各部分存在的问题,针对存在的问题采取了改进措施使问题得以解决。     

Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy

In this study, two types of convolutional neural network (CNN) classifiers are designed to handle the problem of classifying black plastic wastes. In particular, the black plastic wastes have the property of absorbing laser light coming from spectrometer. Therefore, the classification of black plastic wastes remains still a challenging problem compared to classifying other colored plastic wastes using existing spectroscopy (i.e., NIR). When it comes the classification problem of black plastic wastes, effective classification techniques by the laser spectroscopy of Fourier Transform-Infrared Radiation (FT-IR) with Attenuated Total Reflectance (ATR) and Raman to analyze the classification problem of black plastic wastes are introduced. Due to the strong ability of extracting spatial features and remarkable performance in image classification, 1D and 2D CNN through data features are designed as classifiers. The technique of chemical peak points selection is considered to reduce data redundancy. Furthermore, through the selection of data features based on the extracted 1D data with peak points is introduced. Experimental results demonstrate that 2DCNN classifier designed with the help of 2D data feature selection as well as 1DCNN classifier shows the best performance compared with other reported methods for classifying black plastic wastes.     

Structured estimation of tire forces and the ground slope using SM observers

In agricultural context, the principal cause of serious accidents for all-terrain vehicles(ATVs) is rollover. The most important parameters related to this risk is the ground slope. In this paper, we propose a structured observer to estimate the system states and the longitudinal tire forces using only wheel angular velocities measurement. The robust estimation is based on a second order sliding mode observer. This estimation is then used to build up a ground slope estimation. The algorithm is composed by two cascaded estimators. This structured estimation is then applied to the model of an agricultural vehicle G7(GregoireTM) integrated in the driving simulation environment SCANeRTM-Studio.