注塑模充模过程动态分析

注塑成型是利用型腔模制造理想制品主要的成型加工方式 ,塑料熔体的流动行为将直接影响着最终塑件的质量 ,塑料熔体在三维薄壁型腔内的流动属于带有运动边界的粘性不可压缩流体的流动 ,本文针对塑料注塑成型特点 ,经过量纲分析和引入合理而必要的假设 ,得到了适合于充模分析的数学模型。控制方程的求解主要包括三个阶段 :压力场、温度场和流动前沿位置的确定。数值求解采用有限元法求解压力场、有限差分法求解温度场、并利用控制体积法跟踪熔体前沿 ,实现了充模过程的动态模拟     

注塑模冷却系统灵敏度分析方法及应用

本文提出了利用灵敏度数值计算方法进行设计参数选择和修改的注塑模冷却系统设计方法和理论分析数学模型,并开发出了一个处于CAD环境中的冷却系统分析软件,为设计人员优化冷却管道布置、保证模具型腔表面温度分布均匀、减少塑件翘曲变形提供了科学依据和分析手段。     

罐内爆炸成型技术在修复结晶器中的实验研究

随着连铸生产的发展,易损件结晶器铜管的消耗越来越大,使用报废的铜管结晶器越积越多.为重复利用结晶器,采用罐内爆炸成型技术做修复实验.针对200×200规格的结晶器铜管修复选择参数为:导爆索间距t=20mm;导爆索距离铜管外表20mm;炸药筒长度依据铜管长度加100mm确定.依据方案给出具体实验案例,成型后的结晶器经过测量表明修复后的结晶器完全可以再次利用.尤其,为实现厂内、连续、方便的修复结晶器,提出在1kgTNT当量爆炸罐体内实现.实验表明结晶器可以实现厂内便捷修复.     

基于声信号的铝锭脱模故障诊断研究

针对铝锭铸造是否脱模的故障检测难题,尝试利用铸模敲击声音信号进行诊断分析。本文首先提出基于改进的小波包算法对敲击声音进行降噪,在对声音信号频域分析后,发现一次敲击后如果铝锭脱模,则一次敲击声音信号和二次敲击声音信号存在明显的峰值频率差,将其作为故障特征参数,并设定阈值,可以对铝锭是否脱模进行故障诊断。现场采集的声音处理实验证明了本文所提方法的有效性。     

基于可见/近红外光谱技术的番茄叶片灰霉病检测研究

利用可见/近红外光谱技术对感染灰霉病的番茄叶片感染程度进行了检测。提出了主成分分析结合BP神经网络的数据处理方法。采用主成分分析进行数据的降维,减少了计算量,提高了建模精度。通过主成分分析中的载荷值,定性地分析了不同波段对病害程度检测的重要性。将得到的最主要的几个主成分输入BP神经网络进行建模,预测结果显示,当主成分数为8,隐含层结点数为11的时候,病害程度的检测模型对未知样本预测的相关系数达到0.930,SEP为0.068 7,模型具有良好的检测效果。说明基于光谱技术和化学计量学方法的灰霉病检测模型具有很好的检测能力,为光谱技术应用于病害检测提供了新的方法。     

基于高光谱技术的灰霉病胁迫下番茄叶片SPAD值检测方法研究

对灰霉病胁迫下番茄叶片中叶绿素含量(SPAD)的高光谱图像信息进行了研究。首先获取380～1 030 nm波段范围内健康和染病番茄叶片的高光谱图像,然后基于ENVI软件处理平台提取高光谱图像中感兴趣区域的光谱信息,经平滑(Smoothing)、标准化(Normalize)等预处理后,建立了基于Normalize预处理的偏最小二乘回归(PLSR)和主成分回归(PCR)模型。再基于PLSR获得的4个变量建立反向传播神经网络(BPNN)和最小二乘-支持向量机(LS-SVM)模型。4个模型中,LS-SVM的预测效果最好,其决定系数R2为0.901 8,预测集均方根误差RMSEP为2.599 2。结果表明,基于健康和染病番茄叶片的高光谱图像响应特性检测叶绿素含量(SPAD)是可行的。     

A Simple Imprint Method for Multi‐Tiered Polymer Nanopatterning on Large Flexible Substrates Employing a Flexible Mold and Hemispherical PDMS Elastomer

This work reports a facile method to fabricate multi‐tiered polymer nanopatterns on SU‐8 by the combination of imprint‐ and photo‐lithography. First, SU‐8 is imprint patterned using a polymeric flexible mold with an anti‐adhesion coating that is deposited on a transparent and flexible substrate, at room temperature under low pressure. Next, the resulting SU‐8 nanopatterns are exposed to UV light through a chromium mask by a photolithographic process. Removal of the unexposed SU‐8 leaves behind multi‐tiered structures. The use of a hemispherical poly(dimethylsiloxane) pad facilitates the evacuation of trapped air during the imprinting process. Line/space patterns of 500 nm with the smallest line width of 200 nm were homogeneously imprint‐patterned on SU‐8 on a large flexible substrate, and three‐tiered structures, ranging in thickness from 300 nm to 2 µm, were successfully formed.

     

NUMERICAL SIMULATION OF INCOMPRESSIBLE FLOWS WITH MOVING INTERFACES

A numerical model has been developed for the 2D simulation of free surface flows or, more generally speaking, moving interface ones. The bulk fluids on both sides of the interface are taken into account in simulating the incompressible laminar flow state. In the case of heat transfer the whole system, i.e. walls as well as possible obstacles, is considered. This model is based on finite element analysis with an Eulerian approach and an unstructured fixed mesh. A special technique to localize the interface allows its temporal evolution through this mesh. Several numerical examples are presented to demonstrate the capabilities of the model. © 1997 by John Wiley & Sons, Ltd.     

霉菌对黑白照相底片背涂层影响研究

霉变是黑白照相底片常见的病害现象之一,严重影响其记载信息的完整性与清晰度,危害其长久保存。本文采用Keyence VK-X250K形状分析激光显微镜研究了霉变照相底片背涂层的表面形貌,测试了其表面算数平均高度(Sa)、最大高度(Sz)、表面性状高宽比(Str)、算数平均山峰曲率(Spc)、界面展开面积比(Sdr)等表面粗糙度参数。实验结果表明,黑白照相底片发生霉变后其背涂层被霉菌严重侵蚀,形成凹凸不平的粗糙表面,此粗糙表面的存在是导致底片霉变之后所记载图像清晰度与完整性受损的主要原因之一。     

Detection of volatile organic compounds in the headspace above mold fungi by GC‐soft X‐radiation–based APCI‐MS

Mold fungi on malting barley grains cause major economic loss in malting and brewery facilities. Possible proxies for their detection are volatile and semivolatile metabolites. Among those substances, characteristic marker compounds have to be identified for a confident detection of mold fungi in varying surroundings. The analytical determination is usually performed through passive sampling with solid phase microextraction, gas chromatographic separation, and detection by electron ionization mass spectrometry (EI‐MS), which often does not allow a confident determination due to the absence of molecular ions. An alternative is GC‐APCI‐MS, generally, allowing the determination of protonated molecular ions. Commercial atmospheric pressure chemical ionization (APCI) sources are based on corona discharges, which are often unspecific due to the occurrence of several side reactions and produce complex product ion spectra. To overcome this issue, an APCI source based on soft X‐radiation is used here. This source facilitates a more specific ionization by proton transfer reactions only. In the first part, the APCI source is characterized with representative volatile fungus metabolites. Depending on the proton affinity of the metabolites, the limits of detection are up to 2 orders of magnitude below those of EI‐MS. In the second part, the volatile metabolites of the mold fungus species Aspergillus, Alternaria, Fusarium, and Penicillium are investigated. In total, 86 compounds were found with GC‐EI/APCI‐MS. The metabolites identified belong to the substance classes of alcohols, aldehydes, ketones, carboxylic acids, esters, substituted aromatic compounds, terpenes, and sesquiterpenes. In addition to substances unspecific for the individual fungus species, characteristic patterns of metabolites, allowing their confident discrimination, were found for each of the 4 fungus species. Sixty‐seven of the 86 metabolites are detected by X‐ray–based APCI‐MS alone. The discrimination of the fungus species based on these metabolites alone was possible. Therefore, APCI‐MS in combination with collision induced dissociation alone could be used as a supervision method for the detection of mold fungi.