基于OpenGL的管式异型盒三维设计研究

针时管式异型盒三维设计系统提出了一种建立管式异型盒盒库的方法,通过盒坯库与盒片库实现了管式异型盒的参数化设计,利用OpenGL技术开发出了具有管式异型盒结构图显示、纹理贴图、动画演示等功能的三维设计系统.     

纸盒模切板设计的几个问题

分析讨论了对纸盒模切板设计的影响因素，如纸板纹向、盒坯外形、搭桥、模切工艺等；分析了通过拼接提高原材料利用率的方法，给出了几种愤况的数学公式。     

高体积分数SiCP/ Al 复合材料电子封装盒体的制备

采用注射成型方法制备了SiC_P封装盒体的预成型坯, 用压力浸渗方法将熔融铝浸渗到SiC_P封装盒体的预成型坯中, 制备出含SiC_P体积分数为65 %的SiC_P / Al 复合材料的封装盒体。SEM 观察表明, 经过压力浸渗后SiC_P / Al 复合材料组织均匀且致密化高, 室温热膨胀系数为8. 0 ×10-6 / K, 热导率接近130 W/ (m·K) , 密度为2198 g/ cm3 , 能够很好地满足电子封装的要求。      

纸盒高度变化对开盒成型装置的影响

为提高全自动装盒机对不同尺寸纸盒的适应性,分析纸盒高度变化对盒坯料仓中盒坯位置和取盒机构中吸盘轨迹的影响,并推导出在吸盘吸取纸盒基准位置不变的前提下,盒坯料仓的位置调整规律。以常用的螺纹传动与位置指示器相结合的位置调整方式为例,给出了齿节和导程的选取方法,以及实际设计中可能存在的调整偏差的消除方法。理论分析和实际测试表明,较小的调整偏差不会显著影响成盒装置的正常工作,可不必采取措施将其完全消除。     

高填充竹塑包装盒盒坯注塑成型工艺及性能研究

采用竹纤维与聚烯烃为主要原料,并辅以少量改性与加工助剂,通过同向平行双螺杆挤出造粒线,制备高填充竹塑复合材料颗粒,用于注塑成型包装盒盒坯。研究竹纤维填充量、润滑剂与填料对复合材料加工性能的影响,聚烯烃树脂与填料对成型周期的影响,以及树脂基体、模具温度对包装盒盒坯翘曲变形的影响。研究结果表明:随着竹纤维含量的增加,复合材料的熔融指数快速下降,竹纤维质量分数超过50%后下降速度减缓;润滑剂可以提高复合材料的熔融指数,且内外润滑平衡的复合润滑剂最稳定;滑石粉较碳酸钙更有利于改善复合材料的流动性。聚丙烯比聚乙烯基体复合材料的注塑冷却时间短,滑石粉在缩短冷却时间方面优于碳酸钙。竹塑包装盒盒坯的翘曲变形量随着混合树脂基体中聚丙烯含量的增加而减少,随着模具温度的变化出现波动,最佳模具温度为50℃左右。     

包装纸盒设计系统--Visual Basic.NET二次开发AutoCAD

以AutoCAD为平台,并选择Visual Basic.NET作为二次开发语言,建立了具有平面盒坯图的参数化设计、纸盒自动折叠成型的动画演示、三维实体的渲染等功能的包装纸盒设计系统,为包装CAD提供一种新的方法.     

纸盒点阵图的矢量化实现

通过分析包装纸盒盒坯点阵图中的曲线特点,比较并结合各种反求技术,用VB.Net实现了纸盒位图点阵图的自动矢量化,并在AutoCAD中绘制实现.这种方法既能够实现在线性设备直接输出,又可以提高设计与制造效率.     

盲盒经济时代下盲盒包装设计分析——以“泡泡玛特”为例

近年来，“盲盒经济”模式迅速帮助商家占据了市场份额，导致各行各业纷纷推出盲盒产品，而包装设计是吸引消费者的重要因素。以“泡泡玛特”为例，对其盲盒包装设计进行研究，分析了盲盒包装的表现风格和包装设计的特性，总结了盲盒包装的设计经验，以期为后续盲盒包装开发提供有益方案。     

盒板输送辊道控制系统探析

随着辊道输送系统的不断优化，盒板输送辊遭的控制系统也进一步得到发展。本文概括了盒板输送辊道控制系统的概念和意义，介绍了盒板输送辊道控制系统设备组成的形式，综述了盒板输送辊道控制系统的主技术求，旨在进一步优化盒板输送辊道控制系统。     

连铸小方坯中间裂纹成因及控制

由于小方坯中间裂纹严重，通过分析小方坯中间裂纹产生的机理，认为造成小方坯中间裂纹的主因原因是中间包过热度高、拉速不稳定、喷淋管不对正、钢水氧含量高及二冷段比水量大。通过采取控制中间包钢水过热度不大于30℃，稳定拉速在2．5±0．1m／min，喷淋管对正铸坯，降低钢水氧含量，降低二冷段比水量等措施，降低了铸坯中间裂纹级别，使铸坯中间裂纹低倍评级不大于2．5级，提高了铸坯质量，满足轧钢生产需要，减少铸坯废品。     

Synchronized routing of active and passive means of transport

This paper addresses a routing problem where the fulfillment of transport requests requires two types of transport resources, namely, passive and active means of transport. The passive means are used for holding the cargo that is to be shipped from pickup to delivery locations. The active means take up the passive means and carry them from one location to another. Compared to classical vehicle routing problems, the additional challenge in this combined routing problem is that the operations of both transport resources have to be synchronized. In this paper, we provide a modeling approach for the joint routing of passive and active means of transport. We solve the problem by large neighborhood search meta-heuristics that utilize various problem-specific components, for example local search techniques for the routes of active and passive means. A computational study on a large set of benchmark instances is used for assessing the performance of the meta-heuristics.     

我国农资配送服务标准化现状及发展建议

服务标准化对引导和推进农资有效配送的规范有序发展具有积极作用.本文从标准化技术组织建设、标准制修订等方面,分析了国内外农资配送服务标准化的现状和存在的问题,并提出了相应的对策和建议,以期为推进我国农资配送服务标准化工作提供参考.     

加速度计力矩器设计

介绍了永磁式力矩器的工作原理,对力矩器磁路计算进行了推导,介绍了提高磁性材料稳定性的方法,说明了力矩器磁温补偿的原理和方法.     

Differential multiplexing of fiber bragg gratings by means of optical time domain refractometry

A differential method of detection and multiplexing of signals from fiber Bragg gratings based on optical time domain reflectometry is developed. The method is based on probing of a system of gratings by means of short laser pulses and measurement of the power of the resulting reflected pulses by means of standard fiber-optic reflectometry. The proposed method may find extensive use in the area of monitoring of deformation and temperature distributions by means of fiber-optic sensors based on Bragg gratings.     

聚合方法对聚苯胺导电性能的影响

采用溶液聚合与乳液聚合两种方法分别合成了导电高分子材料聚苯胺（ＰＡｎ）并对其性能进行了比较研究,实验结果表明,不同的聚合方法影响聚合物的产率,溶解度,分子量,导电性,环境稳定性以及微观结构等性能。     

菁染料J—聚集态的感光活性

以Ｊ－聚集态染料限制空穴自减感作用的设想为基础，研究了感光层自减感的抑制方法及超增感（超敏化）的方法，特别注意的是指示出了超增感“隔离”机理和Ｊ－聚集调节方法。     

若干积分不等式的加强形式

利用了初等方法,借助于调和平均与几何平均不等式以及Hoeldr不等式等初等不等式,得到Opial型,Poincare型,Sobolev型和Wirtinger型不等式的加强形式,并给出了不等式中常数的精确形式,其结果改进了Agarwal于1996年的主要结论。     

Integral solution of nonlinear magnetostatic field problems

This paper presents a procedure for using integrals to solve nonlinear magnetostatic field problems. An integral equation on magnetized volume, expressed in terms of magnetic field H or magnetization M, is discretized by means of edge elements on a tetrahedral mesh and solved numerically by means of a collocation method. The procedure approaches nonlinear by means of the fixed-point iterative technique. It sets up two different iterative schemes with complementary features. This paper gives details about implementation and presents and discusses results on some test cases     

Sampling of uncertain probabilities at event tree nodes with multiple branches

When the uncertainty distributions of the conditional probabilities of a complete, mutually exclusive set of three or more branches at an event tree node are independently sampled, it is not possible that their values can both be constrained to add to 1.0, as they must, and also have their sample means converge as sampling size increases to the probabilities’ original means, as consistency with the initial point estimates that are these means demands. Complex sampling procedures may be applicable in special cases; e.g. when the uncertainty distributions are restricted to be betas that are elements of a Dirichlet distribution, and so have variances with restricted relationships to their means. Such procedures are not applicable in general and furthermore may not be practical in the analysis of large event trees. The expansion of a multiple node as a sequence of binary nodes with appropriate conditional probabilities, which is quite possible when only the point estimates are considered, has been attempted for uncertainty modeling but can be seen to be incorrect. Normalization of the sets of independent sample values of the launch probabilities is the most common procedure but obviously cannot provide the desired convergence. In this paper, a generally applicable procedure is derived for adjusting the sample values so that they correctly add to 1.0 and their means converge to the original means. The superiority of the procedure to common normalization is demonstrated in an illustrative application in a space launch vehicle risk analysis.     

Artificial intelligence techniques for prediction of the capacity of RC beams strengthened in shear with external FRP reinforcement

The prediction of the shear capacity of reinforced concrete beams retrofitted in shear by means of externally bonded FRP is very complex as demonstrate the studies carried out up to date. As alternative to the conventional methods two approaches based on artificial intelligence are proposed for the first time. Firstly, the use of neural networks as a means of predicting shear capacity without the need of using complex models and, secondly, the use of genetic algorithms as a means of determining suitably how the shear mechanism works. Predictions obtained with both approaches are compared to experimental values.