EFFECTS OF SPECIFIED BLANK SIZE ON BODY WRINKLING DURING HYDRODYNAMIC DEEP DRAWING OF TAPERED RECTANGULAR BOX

1.~nonHydridapawhcdeepdrawing(HDD)belongstothefieldofsheetmetalfoeingandcanbeaPPliedinthefieldofautomotive,aerospace,drilitaryindustryetc.Ithasbeenrecognizedwidelyintheworld["'j.Fig.Ishowsitsprinciple:TheliqUidthatisfilledinthe~ngdiecavitywillbepressedwhenthepunchgoesdownsothattheeffectoffrictionkeepingandoverflowlubricatingcanbeformed,astherestilt,thefoeinglicitofsheetmetalwillbeimprovedareailvandthegualitVofthefinishedpartswillbeup~ed.BecauseofmanyadvantagesofHDDprocees,ithasbeenwidelys…     

Tool design in a multi-stage drawing and ironing process of a rectangular cup with a large aspect ratio using finite element analysis

Tool design is carried out for a multi-stage deep drawing and ironing process of a rectangular cup with the large aspect ratio using the result of the finite element analysis. The analysis incorporates three-dimensional continuum elements for an elasto-plastic finite element method with the explicit time integration scheme using LS-DYNA3D. The analysis simulates the five-stage deep drawing and ironing process with the thickness control of the cup wall. Simulation is performed in order to investigate the failure by tearing during the forming process at the initial state of tool design. The analysis reveals that the difference of the drawing ratio within the cross section induces non-uniform metal flow which causes severe local extension. The irregular contact condition between the blank and the die also induces non-uniform metal flow which causes local wrinkling. This paper identifies such unfavorable mechanism in the rectangular cup drawing with ironing and proposes a new tool design with the guideline for modification in the design of the process and the sequential tool shape. The finite element analysis result with the improved tool design confirms that the proposed design not only reduces the possibility of failure but also improves the quality of a deep-drawn product. The numerical result shows fair coincidence with the experimental result.     

Supported Molybdenum Carbides Lie Between Metallic and Sulfided Catalysts for Deep HDS

Hydrodesulfurization (HDS) of 4,6-dimethyldibenzothiophene on alumina-supported Mo₂C has been studied. These catalysts are stable and active under deep HDS conditions (0-250 wt ppm S). However, although they are well known to have hydrogenation properties, they lead preferentially to a non-hydrogenated product of the HDS reaction: dimethylbiphenyl. For the same reaction, supported platinum and sulfided molybdenum oxide lead to the hydrogenated products dimethyldicyclohexyl and methylcyclohexyltoluene, respectively. The ranking of HDS activity is as follows: MoS₂/Al₂O₃ < Mo₂C/Al₂O₃ < Pt/SiO₂.     

恒压操作下深层过滤阻力模型的研究

分析了流体在深层滤床中所受的阻力,从经典的达西公式和科泽尼——卡曼方程着手,推导出清洁滤层的过滤阻力及过滤速度表达式,在此基础上结合深层过滤物理模型,引入微元概念,得到恒压操作下截污滤层的过滤阻力和过滤速度数学模型,明确了过滤阻力随各种参数的变化关系,对恒压操作深层过滤的应用有指导意义。     

Volatile compounds in oils after deep frying or stir frying and subsequent storage

Soybean oil (900 g) was heated by deep frying at 200°C for 1 h with the addition of 0, 50, 100, 150 and 200 mL water, and then stored at 55°C for 26 weeks. Soybean oil, corn oil and lard were heated by stir frying and then stored at 55°C for 30 weeks. The volatiles and peroxide values of these samples were monitored. All samples contained aldehydes as major volatiles. During heating and storage, total volatiles increased 260-1100-fold. However, aldehyde content decreased from 62–87% to 47–67%, while volatile acid content increased from 1–6% to 12–33%; especially hexanoic acid which increased to 26–350 ppm in the oils after the storage period was completed. Water addition to the oils heated by deep frying tended to retard the formation of volatile compounds. The total amount of volatile constituents of lard heated by stir frying increased more during storage than that of corn oil or soybean oil. Peroxide values did not reflect the changes of volatile content in the samples.     

管井和轻型真空井点组合 在某电厂深基坑降水中的应用

以某电厂翻车机室为研究对象, 针对其深基坑降水降深大, 工期紧等特点, 主要介绍了该工程的工程地质及水 文地质条件, 并且运用管井和轻型真空井点组合降水的方法, 设计了基坑降水处理的施工方案, 确定了降水的各个 参数。实践证明, 管井和轻型真空井点组合应用效果良好, 有效保证了工程的顺利进行, 加快了工程进度, 缩短了工 期。结合实例提出了降水过程中应注意的问题及应对措施。     

一种基于深度卷积网络的鲁棒头部姿态估计方法

针对头部姿态估计方法受特征提取限制导致姿态估计效果不佳的问题,提出使用深度卷积网络自动学习有效特征并进行分类的头部姿态估计方法。首先,利用DCNN非线性映射和自动提取图像结构信息的能力,设计一个深度卷积网络实现对姿态鲁棒特征的提取;然后再将提取的特征用于分类器训练并最终实现头部姿态估计。在Pointing’04和FacePix数据库上的测试结果表明,本文设计的深度卷积网络能有效的进行特征学习,避免了人工设计特征的不足,与现有的基于人工设计特征方法相比,本文方法在两个数据库上达到的预测平均绝对误差分别为4.05〫和2.04〫,充分证实了本文算法的稳定性和可靠性。     

层内自生弱酸降压增注技术在文南油田的应用

文南油田是个油层埋藏深、物性差、非均质严重的复杂断块油气田,注水压力大多在35M Pa以上,水井欠注严重,增注实施困难,层内自生弱酸降压增注技术针对长期困扰文南油田的高压、超高压注水问题,研制开发的一种新型复合降压增注技术。该解堵技术不仅可以适合各类油藏,同时可以解除钻井泥浆、粘土矿物等无机垢,沥青质,胶质、石蜡,聚合物胶团等有机物造成的堵塞,并可以起到深部酸化解堵和改善岩石润湿等作用。通过在文南油田高压注水井上应用,取得了好的降压增注效果。     

图表示学习方法研究综述

针对图表示方法的相关解析任务进行了研究,从形式化定义出发,首先以不同核心技术作为分类标准将图表示学习方法划分为五大类,其包括基于降维解析、矩阵分解、随机游走、深度学习和其他表示学习方法。其次通过归纳与对比分析梳理各类技术发展脉络,进而深层次展现各类图表示方法的优劣。随后结合图表示学习的常用数据集、评估方法和应用领域的归纳分析,展开动态性、可扩展性、可解释性和可解析性的四维剖析。最后总结并展望了图表示学习的未来研究趋势与发展方向。     

协同入侵检测研究现状与展望

协同入侵检测技术(collaborative intrusion detection system, CIDS)能够检测分布式协同攻击,应对大规模网络入侵,拥有传统入侵检测系统所不具备的优势,而如何在提高检测性能的同时实现去中心化是一个重要的研究课题。通过对近年来CIDS研究成果的梳理,阐述了在检测方法、数据聚合、隐私保护和信任管理方面的研究进展和问题,分析了在去中心化方面面临的挑战,探讨了基于区块链技术的CIDS未来发展方向,最后展望了CIDS在云计算、物联网等新兴领域的应用前景。