Computational Parametric Analysis of Cellular Solids with the Miura-Ori Metamaterial Geometry under Quasistatic Compressive Loads

Origami-based metamaterials have widespread application prospects in various industries including aerospace, automotive, flexible electronics, and civil engineering structures. Among the wide range of origami patterns, the fourfold tessellation known as Miura-ori is of particular attraction to engineers and designers. More specifically, researchers have proposed different 3D structures and metamaterials based on the geometric characteristics of this classic origami pattern. Herein, a computational modeling approach for the design and evaluation of 3D cellular solids with the Miura-ori metamaterial geometry which can be of zero or nonzero thicknesses is presented. To this end, first, a range of design alternatives generated based on a numerical parametric model is designed. Next, their mechanical properties and failure behavior under quasistatic axial compressive loads along three perpendicular directions are analyzed. Then, the effects of various geometric parameters on their energy absorption behavior under compression in the most appropriate direction are investigated. The findings of this study provide a basis for future experimental investigations and the potential application of such cellular solids for energy-absorbing purposes.     

压电谐振驱动三足机器人的平面运动

设计并实现了一类利用压电陶瓷片作动,由三条曲梁足支撑的振动驱动机器人.建立了在一条足共振驱动下机器人水平运动的动力学方程,数值计算解释了摩擦作用下的运动机理,寻找到异性摩擦对运动方向、速度的影响和压电激励频率与运动速度间的关系.通过建立圆弧曲梁控制方程求解圆弧型足面内振动的固有频率及振型,设计了三组不同频率的圆弧曲梁足参数,实验制作了机器人模型,利用压电控制三足间振动的共振切换,实现了预想的三个方向的运动以达到平面运动的效果,实验测量了机器人的运动速度与理论计算吻合得较好.     

Composition-Controllable Syntheses and Property Modulations from 2D Ferromagnetic Fe5Se8 to Metallic Fe3Se4 Nanosheets

Exploring new-type 2D magnetic materials with high magnetic transition temperature and robust air stability has attracted wide attention for developing innovative spintronic devices. Recently, intercalation of native metal atoms into the van der Waals gaps of 2D layered transition metal dichalcogenides (TMDs) has been developed to form 2D non-layered magnetic TMDs, while only succeeded in limited systems (e.g., Cr₂S₃, Cr₅Te₈). Herein, composition-controllable syntheses of 2D non-layered iron selenide nanosheets (25% Fe-intercalated triclinic Fe₅Se₈ and 50% Fe-intercalated monoclinic Fe₃Se₄) are firstly reported, via a robust chemical vapor deposition strategy. Specifically, the 2D Fe₅Se₈ exhibits intrinsic room-temperature ferromagnetic property, which is explained by the change of electron spin states from layered 1T'-FeSe₂ to non-layered Fe-intercalated Fe₅Se₈ based on density functional theory calculations. In contrast, the ultrathin Fe₃Se₄ presents novel metallic features comparable with that of metallic TMDs. This work hereby sheds light on the composition-controllable synthesis and fundamental property exploration of 2D self-intercalation induced novel TMDs compounds, by propelling their application explorations in nanoelectronics and spintronics-related fields.     

湖北省城镇垃圾处理政策研究

在对垃圾处理现状进行系统的调查研究的基础上,作者提出了湖北省城镇垃圾处理的合理改革与相应措施．     

Microstructural study of Au-Pd-Zn ohmic contacts to p-type InGaAsP-InP

A detailed microstructural study has been done on Au-Pd-Zn ohmic contacts to p-type InGaAsP epitaxially grown on InP. The doping level in the InGaAsP was 1.0 × 10¹⁹ to 1.5 × 10¹⁹ cm^–3 near the surface with the Zn concentration graded to a value of 7 × 10¹⁸ cm^–3 at the InGaAsP-InP interface. Metal layers (10 nm Pd,3 nmZn, 25 nm Pd and 50 nm Au) were deposited sequentially by electron beam evaporation. Contact resistances less than 10^–4 cm² were achieved for all annealing temperatures studied (380–440 C) and a minimum contact resistance of 2 × 10^–6 cm² was obtained for an anneal at 400 C for 20 s. Comparisons were made to similar metallizations on p-type InP. Lower contact resistances were achieved for the quaternary material compared with the binary material, however, contact stability and uniformity were worse.     

Ensemble of surrogates with recursive arithmetic average

Surrogate models are often used to replace expensive simulations of engineering problems. The common approach is to construct a series of metamodels based on a training set, and then, from these surrogates, pick out the best one with the highest accuracy as an approximation of the computationally intensive simulation. However, because the choice of approximate model depends on design of experiments (DOEs), the traditional strategy thus increases the risk of adopting an inappropriate model. Furthermore, in the design of complex product system, because of its feature of one-of-a-kind production, acquiring more samples is very expensive and intensively time-consuming, and sometimes even impossible. Therefore, in order to save sampling cost, it is a reasonable strategy to take full advantage of all the stand-alone surrogates and then combine them into an ensemble model. Ensemble technique is an effective way to make up for the shortfalls of traditional strategy. Motivated by the previous research on ensemble of surrogates, a new technique for constructing of a more accurate ensemble of surrogates is proposed in this paper. The weights are obtained using a recursive process, in which the values of these weights are updated in each iteration until the last ensemble achieves a desirable prediction accuracy. This technique has been evaluated using five benchmark problems and one reality problem. The results show that the proposed ensemble of surrogates with recursive arithmetic average provides more ideal prediction accuracy than the stand-alone surrogates and for most problems even exceeds the previously presented ensemble techniques. Finally, we should point out that the advantages of combination over selection are still difficult to illuminate. We are still using an “insurance policy” mode rather than offering significant improvements.