建筑用气密膜相关强度性能试验研究

气密膜是被动房和超低能耗建筑气密性处理的常用材料,由于试验设备及方法等原因,国内对建筑用气密膜性能的试验研究较少,从施工应用角度出发,针对国内外无纺布基气密膜的相关强度性能开展试验研究,为气密膜的工程应用提供参考.     

供水管网DMA优化分区设计方案

实施独立计量分区(district metered area,DMA)是辅助供水管网管理和漏损识别的重要手段.图划分算法是进行DMA分区的方法之一,常规图划分算法应用中,存在解空间受限、分区后原水流状态易发生较大改变、形成较多串联分区(对流量计算不利)的缺点.在常规图划分算法基础上进行了改进:粗化阶段按照特定规则匹配、合并非输水干管两端的节点,形成简化的管网拓扑结构;分区阶段得到管网初步分区方案;细化阶段提出基于贪心算法、枚举算法、蒙特卡洛算法的分区调整方法,结合改进的仪表安置方法、水力模拟、优劣解距离法(technique for order preference by similarity to an ideal solution,TOPSIS),对分区方案进行调整.将该方法应用于YX市供水管网,成功进行了分区.     

Improving accuracy of automatic optical inspection with machine learning

Electronic devices require the printed circuit board(PCB)to support the whole structure,but the assembly of PCBs suffers from welding problem of the electronic components such as surface mounted devices(SMDs)resistors.The automated optical inspection(AOI)machine,widely used in industrial production,can take the image of PCBs and examine the welding issue.However,the AOI machine could commit false negative errors and dedicated technicians have to be employed to pick out those misjudged PCBs.This paper proposes a machine learning based method to improve the accuracy of AOI.In particular,we propose an adjacent pixel RGB value based method to pre-process the image from the AOI machine and build a customized deep learning model to classify the image.We present a practical scheme including two machine learning procedures to mitigate AOI errors.We conduct experiments with the real dataset from a production line for three months,the experimental results show that our method can reduce the rate of misjudgment from 0.3%–0.5%to 0.02%–0.03%,which is meaningful for thousands of PCBs each containing thousands of electronic components in practice.     

地方高校大型分析仪器设备开放共享机制的探索

实验室是高校提高教学质量的前提与基础，通过推进大型分析仪器设备的开放与共享能够切实延伸实验室的育人维度和实践功能。然而在大型分析仪器设备开放共享的过程中存在理念、组织、经费及评价机制等层面上的问题，影响到大型分析仪器开放共享的质量和效率。对此结合我校在大型分析仪器设备开放共享中的具体问题，提出相对应的开放共享机制，促进大型分析仪器设备更好地服务于教学、科研及地方经济。     

汽车变速箱阀体加工变形的来源分析及补偿

变速箱阀体是汽车变速部件中的重要配件.阀体件内部空腔多、深度大,由于其型腔的高度复杂性,传统的有限元法难以对其进行高效精确预测,通常采用反复离线测量和铣削来保证精度.为此,提出了一种基于在机测量的阀体件加工误差实时补偿方法以提高加工精度.首先,通过实验确认主要误差源为装夹变形;其次,基于在机测量获得阀体误差曲面,并利用机器学习算法进行拟合,获得初步补偿模型;进而,针对面铣刀直径大的特点,建立了偏移式补偿轨迹;最后,基于数控机床的坐标原点偏移功能开发实时补偿系统并进行了阀体件加工误差的补偿实验.实验结果表明,补偿后的阀体件加工误差降低55％以上,并具有良好的一致性.     

基于高频损耗比的干式空心电抗器制造缺陷检测方法及应用探讨

本文通过分析电抗器因制造工艺导致少匝和极限工艺偏差时600Hz损耗,提出高频损耗可作为电抗器制造缺陷的检测手段及其适用范围,并以600Hz的实测损耗与理论损耗之比是否超过1.5作为判据,以同组任两台损耗之比是否超过1.5作为辅助判据,同时列举应用实例.     

Fabrication of Co doped MoS2 nanosheets with enlarged interlayer spacing as efficient and pH-Universal bifunctional electrocatalyst for overall water splitting

Exploring inexpensive and active bifunctional electrocatalysts to produce hydrogen and oxygen from water at all pHs is highly desirable. Herein, we report a facile one-step method to prepare vertically aligned Co doped MoS₂ nanosheets with extended interlayer distance on carbon cloth (Co–MoS₂@CC) for full hydrolysis in both alkaline and acidic medium. Co–MoS₂@CC exhibits long-term durability with overpotentials of 56.6 mV and 130 mV for hydrogen generation and 242 mV and 201 mV for oxygen production at 10 mA cm^?2 in basic and acidic conditions, respectively. Moreover, we achieve low voltages of 1.585 V and 1.55 V in basic and acidic conditions respectively for the overall water splitting. We assume that such excellent property of Co–MoS₂@CC may be ascribed to the uncovering of more active sites and high porosity resulted from Co doping, which boosts the conductivity and thus reduces MoS₂ hydrogen adsorption free energy in HER, as well as benefits to catalytic active sites in OER. This one-step doping approach opens up new ways to regulate the intrinsic catalytic activity to catalyze total hydrolysis at all PHs.     

氨碱工艺废液管线结疤原因及改进方法

随着我厂生产负荷的提高,废液管线淤积加重,清理难度大。分析了废液管线淤泥形成的原因,并实施调整杂水流程、控制石灰石煅烧状态及精制卤水化盐等的整改措施。     

混炼工艺对防老剂RD残余量及胶料性能的影响

研究混炼工艺对防老剂RD残余量及胶料性能的影响。结果表明：在高温处理过程中，防老剂RD发生分解反应，且随着热处理温度的升高，其质量损失增大；防老剂RD在高温（155 ℃）混炼阶段加入比在低温（110 ℃）混炼阶段加入质量损耗增大20%；与在高温混炼阶段加入相比，防老剂RD在低温混炼阶段加入，胶料在老化前的物理性能相当，但是在热老化后的物理性能、耐磨性能和抗切割性能等均得到改善。