摘要：轮式发射系统行驶动力学建模与仿真是其动力学性能和试验设计的前提和基础,日益提高的轮式发射系统动态性能迫切需要一种快速高效的大型多体系统动力学计算方法。本文采用多体系统传递矩阵法建立了轮式发射系统的动力学模型,给出了相应的拓扑图和动力学方程,此外,通过快速傅里叶逆变换重构了平行车轮的路面不平度,结合蒙特卡罗方法对随机路面激励下轮式发射系统的动力学特性进行了模拟和讨论分析结果表明,随着路面不平度级别和行驶速度的增加,轮式发射系统的振动加速度幅值越大,在正常车速下,路面激励对车体的影响远大于车速。模态试验和行驶试验验证了动力学建模和仿真的正确性本文可拓展到其他包含概率不确定性的多体系统动力学建模和分析.

摘要：牙釉质是人体最硬的组织,力学性能优异.牙釉质内部的纳米线-微米簇-有序阵列的多级结构是其具有优异力学性能的关键.通过模仿牙釉质的微结构有望实现人造材料力学性能的突破,但是多级次模仿天然牙釉质的微结构仍是巨大的挑战.本文中,我们制备了由长程有序晶体/非晶羟基磷灰石(HAP)纳米线组成的HAP微米簇,并通过剪切诱导组装将其纺成类牙釉质高性能宏观纤维.该纤维具有高度有序的纳米线-微米簇结构,并且HAP纳米线、HAP微米簇和聚合物基体之间的强界面连接使得该纤维在受力时具有一种多级的能量耗散途径.因此该类牙釉质纤维兼具高强度(196.3 MPa)和高韧性(46.3 MJ m^(-3)),其断裂韧性超过了先前报道的HAP基复合纤维的最大值.这种多级类牙釉质设计策略为高强度和高韧性纤维的开发提供了新的思路,在潜在的工程和生物修复领域具有广阔的应用前景.

摘要：The growth of data and Internet of Things challenges traditional hardware,which encounters efficiency and power issues owing to separate functional units for sensors,memory,and *** this study,we designed an a-phase indium selenide(a-In_(2)Se_(3))transistor,which is a two-dimensional ferroelectric semiconductor as the channel material,to create artificial optic-neural and electro-neural synapses,enabling cutting-edge processing-in-sensor(PIS)and computing-in-memory(CIM)*** an optic-neural synapse for low-level sensory processing,the a-In_(2)Se_(3)transistor exhibits a high photoresponsivity(2855 A/W)and detectivity(2.91×10^(14)Jones),facilitating efficient feature *** high-level processing tasks as an electro-neural synapse,it offers a fast program/erase speed of 40 ns/50μs and ultralow energy consumption of 0.37 aJ/*** AI vision system using a-In_(2)Se_(3)transistors has been *** achieved an impressive recognition accuracy of 92.63%within 12 epochs owing to the synergistic combination of the PIS and CIM *** study demonstrates the potential of the a-In_(2)Se_(3)transistor in future vision hardware,enhancing processing,power efficiency,and AI applications.

摘要：尾座式垂直起降(Vertical takeoff/landing,VTOL)无人机(Unmanned aerial vehicle,UAV)稳定性差,与传统起落架的适配性低。针对上述问题,提出了一种采用自由尾翼技术的新型起落架。该起落架采用串联多级结构,在降低机身高度的同时,保证了巡航状态下尾翼力臂的长度,并通过虚拟中心点力分布技术对动态着陆过程进行调控,简化了控制过程,有利于模式转换过程中的无缝轨迹优化。随后基于猫中心点单点数据集,利用神经网络对起落架控制进行训练,有效提高了起落架自适应起落速度和精度。最后,结合无人机不同模式的参数要求,进行多目标优化和相似性转换,有效提高了尾座式垂直起降无人机的着陆适应性和稳定性。

摘要：Among the various micro-powers being investigated, betavoltaic batteries are very attractive for numerous applications because of their advantages of high energy density, long life, strong anti-interference, and so on. Based on the basic principle of the betavoltaic effect, the current paper adopted the Monte Carlo N-Particle code to simulate the transport processes of β particles in semiconductor materials and to establish the calculation formulas for nuclear radiation-generated current, open circuit voltage, and so on. By discussing the effect of minority carrier diffusion length, doping concentration, and junction depth on the property of batteries, the present work concluded that the best parameters for batteries are the use of silicon and the radioisotope Ni-63, i.e., Ni-63 with a mass thickness of 1 mg/cm2, Na=1×1019 cm-3, Nd=3.16×1016 cm-3, junction area of 1 cm2, junction depth of 0.3 μm, and so on. Under these parameters the short-circuit current, open circuit voltage, output power, and conversion efficiency are 573.3 nA, 0.253 V, 99.85 nW, and 4.94%, respectively. Such parameters are valuable for micro-power fields, such as micro-electromechanical systems and pacemakers, among others.

摘要：Betavoltaic radioisotope microbatteries have gradually become the research direction of micro-power sources because of their several advantages,including small scale,stable output performance,long service life,high energy density,strong anti-jamming capability,and so *** on the theory of semiconductor physics,the current paper presented a design scheme of isotope microbattery with wide-gap semiconductor material GaN and isotope *** consideration of the isotope's self-absorption effect,the current paper studied and analyzed the optimization thickness of semiconductor and isotope source,junction depth,depletion region thickness,doping concentration,and the generation and collection of electron hole pairs with simulation of transport process of beta particles in semiconductor material using Monte Carlo simulation program *** the proposed design scheme,for a single decay,an average energy of 28.2 keV was deposited in the GaN,and the short circuit current density,open circuit voltage,and efficiency of a single device were 1.636 μA/cm2,3.16 V,and 13.4%,respectively.

摘要：Modular technology can effectively support the rapid design of products, and it is one of the key technologies to realize mass customization design. With the application of product lifecycle management(PLM) system in enterprises, the product lifecycle data have been effectively managed. However, these data have not been fully utilized in module division, especially for complex machinery products. To solve this problem, a product module mining method for the PLM database is proposed to improve the effect of module division. Firstly, product data are extracted from the PLM database by data extraction algorithm. Then, data normalization and structure logical inspection are used to preprocess the extracted defective data. The preprocessed product data are analyzed and expressed in a matrix for module mining. Finally, the fuzzy c-means clustering(FCM) algorithm is used to generate product modules, which are stored in product module library after module marking and post-processing. The feasibility and effectiveness of the proposed method are verified by a case study of high pressure valve.

摘要：受蜂鸟颜色调节机制的启发,通过将N-异丙基丙烯酸胺(NIPAM)和硬脂基丙烯酸酯(SA)共聚物引入到反蛋白石支架中,本文提出了一种新型的形状记忆结构色水凝胶薄膜.共聚物水凝胶优异的柔韧性和反蛋白石结构的存在,赋予了薄膜稳定的拉伸性和鲜艳的结构色.同时,共聚物的瞬态结构各向异性使得薄膜具有形状记忆的性能.利用其形状记忆和结构色响应性能,可以设计各种具有复杂形状的不同结构色的执行器.值得一提的是,具有光热响应的石墨烯量子点可以集成到水凝胶薄膜中,使其具有光控可逆变形和同步结构色变化的特性.本文提出的形状记忆结构色水凝胶薄膜在传感、通信和软机器人伪装方面都展现了巨大的应用潜力.

摘要：本文介绍了一种基于磁驱动正交悬臂探针(magnetically driven-orthogonal cantilever probes,MDOCP)的三维原子力显微镜(three-dimensional atomic force microscopy,3D-AFM)表征方法,该方法采用两个独立的三自由度纳米扫描器,能够实现探针沿可控矢量角度跟踪扫描样品表面。该3D-AFM系统还配备了高精度旋转台,可实现360°全向成像。定制的MD-OCP包含水平悬臂、垂直悬臂和磁球三部分,其中磁球可在磁场中机械驱动OCP实现激振。垂直悬臂具有一个突出的尖端,可检测深槽和具有悬垂/凹边特征的结构。首先,对MD-OCP的设计、模拟、制造和性能分析进行了描述;其次,详细介绍了探针振幅补偿和360°旋转原点定位的方法。通过使用标准AFM阶梯光栅进行对比实验,验证了所提出方法对于陡峭侧壁和拐角处细节的表征能力,其中采用了三维地形重建方法将图像整合。通过对具有微梳结构的微机电系统(MEMS)器件进行3D表征,进一步证实了所提出基于MD-OCP的3D-AFM技术的有效性。最后,该技术被用于确定微阵列芯片的关键尺寸(critical dimensions,CD)。实验结果表明,所提出的方法可以高精度地获取三维结构的CD信息,相比于难以获得侧壁信息的二维技术,在三维微纳制造检测领域具有更好的潜力。

摘要：智能仿生软材料是近年来科学研究的重点之一.液晶高分子材料是众多软材料中最有发展潜力的材料之一.目前通过液晶高分子材料制备具有复杂功能和多种响应的仿生器件主要通过两种方法,其一是引入多种响应性基团,赋予材料多重响应.另一个是构建单一刺激下具有变形变色协同功能的材料.然而,结合这两种策略,构建既具有多重刺激响应,又能协同变形变色的新型液晶高分子仍然是一个挑战.为此,本工作通过结合光响应性液晶网络和亲水的聚(2-羧乙基丙烯酸酯共丙烯酸)层(PC),制备了一种光和湿度双重响应的软驱动器.在紫外光的驱动下,偶氮苯的分子异构驱动复合薄膜的各向异性形变.环境湿度的变化能使亲水的PC层发生溶胀和脱水,使薄膜发生另一模式的形变.由于薄膜内部荧光分子与水分子的协同作用,PC膜的荧光强度增强.由于整合了双重响应性和协同行为,这种新型的双响应驱动器在制造智能软体机器人方面具有较大的潜力.通过合理的设计,我们制备了一个光驱动的智能软体机器人.该机器人表现出检测水、改变运动模式和荧光强度的能力,在构筑具有识别、响应和自我调整能力的多功能软体机器人方面具有实际应用潜力.