Modification of the wood-plastic composite for enhancement of formaldehyde clearance and the 3D printing application

As the formaldehyde is one of the main indoor pollutants, the purpose of this study is to effectively remove indoor formaldehyde pollution by using environmentally friendly 3D printing ornaments. The wood 3D printing filaments cellulose/polylactic acid composite (Cellu/P) was selected as the starting material, and 3-aminopropyltriethoxysilane (APTES) was used for chemical modification to obtain a series of cellulose composite materials with amino groups. The modified composite materials (APTES@Cellu/P) were characterized by Fourier transform infrared, X-ray diffraction, scanning electron microscope, energy dispersive spectroscopy, thermogravimetric analysis, and mechanical tests, and a formaldehyde removal experiment was performed. The feasibility of 3D printing was evaluated, and the process of 3D printing-functionalized customized ornaments was proposed, and then a school emblem was used for modeling, printing, and surface modification. Compared with the commercially traditional activated carbon, 3D printing-customized ornaments of APTES@Cellu/P material has a better formaldehyde removal effect, and can even avoid the secondary pollution that is common to the activated carbon.     

A semi-analytical approach for linear and non-linear analysis of unstiffened laminated composite cylinders and cones under axial,torsion and pressure loads

A semi-analytical model for the non-linear analysis of simply supported, unstiffened laminated composite cylinders and cones using the Ritz method and the Classical Laminated Plate Theory is proposed. A matrix notation is used to formulate the problem using Donnell׳s and Sanders׳ non-linear equations. The approximation functions proposed are capable to simulate the elephant׳s foot effect, a common phenomenon and a common failure mode for cylindrical and conical structures under axial compression. Axial, torsion and pressure loads can be applied individually or combined, and solutions for linear static, linear buckling and non-linear buckling analyses are presented and verified using a commercial finite element software. The presented non-linear buckling analyses used perturbation loads to create the initial geometric imperfections, showing the capability of the method for arbitrary imperfection patterns. The linear stiffness matrices are integrated analytically and for the conical structures an approximation is proposed to overcome the non-integrable expressions.     

Evaluation of gluing of CFRP onto concrete structures by infrared thermography coupled with thermal impedance

Carbon Fiber Reinforced Polymers (CFRPs) have been increasingly employed for structural strengthening, and are attached to structures using bonding adhesives. The aim of this work is to characterize defects in the bond between CFRP and concrete (after they are located by pulse infrared thermography), and assign the defects a “numerical value” (ranging from 0 for a complete air–gap to 1 for a fully glued bond). Quantitative characterization is performed by measuring the thermal impedance, and then identifying the thermophysical parameters of the system through fitting the measured impedance to a theoretical model. An inversion procedure is carried out to estimate the unknown parameters, without prior knowledge of sample properties. In particular, it is possible to estimate more accurately both the amount of glue within a defect and the thermal contact resistance.     

A novel deep generative model based on imaginal thinking for automating design

Automating design faces a thorny problem: insight modeling based on knowledge and experience. In particular, it is difficult for artificial intelligence to perform incomplete conditional reasoning. The deep generative model (DGM) is an emerging approach of machine learning, which typically uses deep networks to learn from various data sets and synthesize new designs. This paper proposes a novel DGM based on imaginal thinking to realize the creative leap from the invisible functional domain to the concrete physical domain. An experiment is conducted to verify the effectiveness of the proposed model in designing wheels for mobile robots in granular media.     

Mechanism of mid-spatial-frequency waviness removal by viscoelastic polishing tool

Nanoscale roughness with ultra-precise form control can be readily achieved using compliant finishing methods such as bonnet polishing. However, their weak point lies in the difficulty of removing mid-spatial-frequency (MSF) waviness in the typical range from 0.1 to 5.0 mm wavelength. To overcome this shortcoming, a bonnet tool filled with viscoelastic fluid is developed and a comprehensive model is established to disclose its distinct removal behavior in the MSF range. The model considers tool viscoelasticity, stress distribution and workpiece topography. Experiments show high consistency with theoretical predictions, and show that MSF waviness can be effectively reduced using the proposed method.     

Crystal anisotropy-dependent shear angle variation in orthogonal cutting of single crystalline copper

Shear deformation that dominates elementary chip formation in metal cutting greatly relies on crystal anisotropy. In the present work we investigate the influence of crystallographic orientation on shear angle in ultra-precision orthogonal diamond cutting of single crystalline copper by joint crystal plasticity finite element simulations and in-situ experiments integrated in scanning electron microscope. In particular, the experimental cutting conditions including a straight cutting edge are the same with that used in the 2D finite element simulations. Both simulations and experiments demonstrate a well agreement in chip profile and shear angle, as well as their dependence on crystallography. A series of finite element simulations of orthogonal cutting along different cutting directions for a specific crystallographic orientation are further performed, and predicated values of shear angle are used to calibrate an extended analytical model of shear angle based on the Ernst–Merchant relationship.     

基于反熔丝FPGA的纯开环星载步进电机驱动器设计

为了提高运动机构的稳定度,步进电机驱动控制通常采用电流细分的方法,从而将一个步距角分解成若干小步。实现步进电机电流细分驱动通常的方法是将电流闭环引入到驱动控制电路中,由此增加电流采样、比较等软硬件功能模块的同时也增加了单机的复杂度,削弱了步进电机本质上开环驱动的优势。为了提高宇航型号步进电机驱动控制器单机的可靠度,提出了一种基于反熔丝FPGA的纯开环驱动方案,通过预置占空比的方式,在不引入电流闭环的前提下实现步进电机电流细分。通过样机调试,验证了设计的有效性,为后续工程研制提供参考。     

多孔网幕泡破压力预测模型的建立及实验验证

金属多孔网幕具有比表面积大、物理稳定性好等诸多优点,广泛应用于推进剂在轨气液分离及相变传热等领域。泡破压力是衡量其相分离性能的关键参数,可根据多孔介质的有效泡破孔径确定。然而多孔网幕的孔隙结构极其复杂,泡破孔径计算仍未有通用且高效的方法。建立了一种基于三维孔隙结构的多孔网幕泡破压力的通用型解析模型。该模型仅依赖于多孔网幕的几何结构参数,无须实验即可有效预测多孔网幕的泡破压力。模型预测结果与本文实验及文献实验中不同网幕规格、低温及常温工质数据吻合良好,平均误差仅为8%,表明该解析模型具有普适性和准确性,可为基于多孔网幕的液体获取装置的设计与性能预测提供参考。     

关于大角度范围内四元数与欧拉角转换的思考

在存在大角度姿态机动的场景中,航天飞行器通常采用基于姿态四元数的姿态运动模型,同时又多以欧拉角形式给定其期望姿态,因此研究四元数到欧拉角的转换关系十分必要.但是,姿态四元数与欧拉角之间并不存在一一对应的关系.以飞行器姿态为纽带,依据姿态四元数和欧拉角与飞行器姿态之间的内在关系,对各种可能出现的情形进行分析,在控制所对应的期望姿态的牵引下,确定出符合姿态控制利益的姿态四元数到欧拉角的转换关系.鉴于姿态四元数到欧拉角转换关系的复杂性,在飞行器进行大角度姿态机动控制时,建议采用基于四元数的姿态运动模型.