直接侧向力与气动力复合控制导弹脱靶量分析

大气层内姿控式直接侧向力控制导弹末制导系统存在气动力控制与复合控制之间的切换,在这种特殊情形下引入有限时间广义H2方法进行脱靶量分析.根据复合控制导弹末制导系统数学模型,研究了切换情形下的零效脱靶量与制导系统关键参数之间的关系,分析了直接侧向力启控时间、有效导航比、修正比例导引系数以及目标估计环节时间常数对零效脱靶量的影响.分析结果为制导末端直接侧向力启控时间的确定和修正比例导引律参数的选择提供了有力依据.     

CJ18．2tex赛络纱的生产实践

阐述了赛络纺纱技术的原理,探讨了F1510细纱机改造赛络纺的方法,优选了工艺参数．试验结果表明,在相同的配棉条件下,CJ18．2tex赛络纱的条干、粗细节、强力和毛羽均优于相同线密度的传统环锭纱．     

涤纶低弹网络丝拉伸断裂性能表征

研究在不同的夹持距离、不同拉伸速率条件下涤纶低弹网络丝机械性能 ,从实验结果得知 ,在相同拉伸速率下 ,断裂强力随夹持距离的增加呈对数关系减少。在相同夹持距离下 ,随着拉伸速率的提高 ,平均断裂强力提高 ,断裂伸长增大 ,断裂比功也增大。     

基于深度学习的管道纱线及其颜色检测

为了保证自动换筒系统中的纱线自动打结机能够正常运行, 需要对管道吸取的纱线进行检测. 纱线纤细、种类繁多且颜色各异, 传感器方法难以胜任, 使用图像处理的方式较为合适. 但是对于纱线检测问题传统的图像处理方法复杂且检测准确率低, 难以解决纱线种类多、尺寸不一以及颜色多等问题, 故本文提出了一种基于Inception v4中Inception-ResNet-A块进行改进的多尺度深度可分离卷积块组成的网络来检测管道中的纱线. 其中改进的多尺度深度可分离卷积块采用3×3卷积核的深度可分离卷积层代替Inception-ResNet-A块中3×3传统卷积层并去除了其中的一些1×1卷积层, 简化卷积块的计算量以及参数量, 此外还结合了残差网络ResNet的方法进行通道融合,防止特征丢失. 试验结果表明, 该网络模型具有非常好的泛化能力以及辨识效果.     

贴身穿竹毛混纺针织物开发及性能测试

采用80S丝光羊毛纤维和3D毛型竹浆纤维混纺纱,混纺比例竹浆/丝光羊毛分别为30/70、50/50、70/30,进行针织物开发及舒适性探究。通过对混纺纱的强力、伸长率、耐磨性及毛羽进行测试,得出:实验结果均满足上机织造标准。以纬平针组织为例,织造出三种混纺比针织物,并对其透气性、透湿性和热导率进行了测试分析,实验结果表明:织物透气性、热导率随丝光羊毛含量的增加而降低,透湿量随之增加。     

吸湿发热纤维混纺针织物耐磨性和悬垂性研究

研究吸湿发热纤维混纺针织物的力学性能,就其耐磨性和悬垂性与纯棉织物、涤棉混纺织物做了对比,实验结果显示,吸湿发热纤维混纺针织物的耐磨性、悬垂性均优于纯棉,与涤棉混纺织物相比略差。通过对吸湿发热纤维混纺针织物力学性能的测试分析,为后续针织物的研究奠定基础。     

超临界乙醇提质生物油的汽油机试验研究

配制了典型的模型油模拟提质产物中的中质成分(沸点为80~200℃),在1台单缸4冲程汽油机上对模型油、模型油-汽油混合燃料及汽油进行试验研究.结果表明:调整化油器结构适当增加供油量,在不改变发动机其他特性的条件下,燃用模型油的动力略微下降,下降幅度在5%以内,能耗率平均下降了8.47%;HC和CO排放远远低于汽油,平均下降了42.97%和66.7%,但NOX和CO2排放明显上升,相对汽油平均分别上升了29.47%和20.17%.对汽油机不作任何调整,燃用模型油体积分数10%(B10)和20%(B20)的混合燃料的动力特性及排放特性一般介于汽油与模型油之间.     

Embedded blended learning within an Algebra classroom: a multimedia capture experiment

This two‐group, pretest‐posttest, quasi‐experimental study compared secondary students' learning of Algebra II materials over a 4‐week period when identical instruction by the same teacher was delivered through either embedded blended learning (treatment group; n = 32) or a live‐lecture classroom (control group; n = 24). For both groups, instruction was delivered in a normal classroom setting. A math test and a student survey were used to measure students' learning of Algebra II and satisfaction with the instruction. Students in the treatment group showed significantly greater gains in Algebra II test scores and evaluated their learning experiences significantly more positively than did the control group. The great majority (80%) of students in the treatment group preferred the embedded blended learning over traditional live lectures for future learning of math. Students' responses to open‐ended survey questions suggested that students in the treatment group appreciated the: (a) ability to control the pace of instruction; (b) new role of the classroom teacher; (c) lack of distraction in the blended learning environment; and (d) accessibility of the embedded multimedia lessons outside the classroom. This study suggests that screen‐capture instructional technology can be used towards establishing a teacher‐based, embedded blended learning environment within a secondary algebraic classroom.     

中空涤纶/不锈钢/竹炭保温透湿材料的开发及性能研究

通过花式捻线方法将中空涤纶、不锈钢长丝和竹炭纤维三种功能性纤维并捻获得复合纱线,利用纱线强度、毛羽和实际捻度测试,得到最佳的纱线纺制参数。并采用最佳工艺参数纺制的包绕纱线进行平纹织物织造,对其织物透湿性、远红外发射率以及保温性能进行测试表征,最终制备一种可用于防寒服的新型保温透湿织物。结果表明,缠绕捻度为上捻度200,下捻度0时,纺制的包芯纱具有最佳捻度。中空涤纶/不锈钢/竹炭织物透湿率为5 184g/(m2·24h),达到透湿织物透湿要求的2倍以上。一至四层织物的远红外发射率均在70%及以上,符合远红外发射率具有功能性结果的范围。织物克罗值达到7.355clo,高于极低温作业穿着克罗值51.6%,可满足极低温环境下的织物保温要求。织物保温率为62.43%,相比于棉、毛等传统纺织原料,织物保温率可以提升2倍以上。     

Large‐Stroke Electrochemical Carbon Nanotube/Graphene Hybrid Yarn Muscles

Artificial muscles are reported in which reduced graphene oxide (rGO) is trapped in the helical corridors of a carbon nanotube (CNT) yarn. When electrochemically driven in aqueous electrolytes, these coiled CNT/rGO yarn muscles can contract by 8.1%, which is over six times that of the previous results for CNT yarn muscles driven in an inorganic electrolyte (1.3%). They can contract to provide a final stress of over 14 MPa, which is about 40 times that of natural muscles. The hybrid yarn muscle shows a unique catch state, in which 95% of the contraction is retained for 1000 s following charging and subsequent disconnection from the power supply. Hence, they are unlike thermal muscles and natural muscles, which need to consume energy to maintain contraction. Additionally, these muscles can be reversibly cycled while lifting heavy loads.