Experiment and multiobjective optimization design of tape-spring hinges

Flexible tape-spring hinges can be folded elastically and are able to self-deploy by releasing stored strain energy with fewer component parts and slight weights. This study presents a detailed investigation of the folding and deployment of single-layer tape-spring (SLTS) hinges and double-layer tape-spring (DLTS) hinges under pure bend loading. The material properties of tape-spring hinges are measured using an INSTRON machine. A DLTS hinge construction is created, and its moment-rotation relationship during quasi-static deployment is measured. An experiment is conducted to verify the validation of the numerical models for the DLTS hinges. The quasi-static deployment behavior of SLTS hinges and DLTS hinges is then analyzed using nonlinear finite element ABAQUS/Explicit solver, starting from the complete folded configuration. The DLTS hinge has good quasi-static deployment performances with regard to maximum stress (S _m ), steady moment (M ^*) and the peak moment (M _d ) during the DLTS hinge quasi-static deployment. In addition, the sampling designs of the DLTS hinges are created based on a three-level full factorial design of experiments (DOE) method. The surrogate models of S _m , M ^* and M _d of the DLTS hinges are derived using response surface method (RSM) to reduce the computational cost of quasi-static folding and deployment of numerical simulations. The Multiobjective optimization design (MOD) of the DLTS hinge is performed using modified non-dominated sorting genetic algorithm (NSGA-II) algorithm to achieve the optimal design. The finite element models for the optimal design based on numerical method are established to validate the optimization results.     

金安桥水电站大坝抗震分析和抗震措施设计

金安桥水电站大坝地震设防烈度高达9度,基岩场地设计水平动峰值加速度为0.399 g,大坝抗震分析和抗震措施设计是工程关键性技术问题之一。采用数值计算法和模型试验法对碾压混凝土大坝进行了全面的动力分析,确定了大坝的抗震薄弱部位,为金安桥水电站大坝设计提供了保证。     

光伏提水技术研究与应用

光伏提水是涉及太阳能采集与变换、电力电子、电机、水泵等多门学科专业综合配套的一门新兴技术,因其符合新能源战略发展的需要而备受关注和重视。基于研究和推广应用需要,在回顾了光伏提水技术发展历程的基础上,介绍了近年国内出现的几种有代表性的光伏提水装置,对它们的类型和系统结构进行了分析,探讨了光伏提水技术在我国特别是西部干旱缺水地区推广应用的前景和价值。     

浅谈校园网络结构的规划与设计

随着信息化时代到来,校园网建设越来越受到各高校重视.本文从校园网设计原则出发,着重描述校园网架构以及各网络层次结构的选择和建议.     

Visual FoxPro中函数教学策略

Visual FoxPro中函数的学习是一个重点,也是个难点,而能不能正确、熟练地应用常用函数又直接影响VFP中最重要的功能之一--数据处理的操作的完成及相关程序的编写.在这里我就为解决函数教学中发现的学生学习上的问题所采用的教学策略进行了探讨,希望能达到"抛砖引玉"的作用.     

大学生上网行为管理研究及对策

网络给大学生学习和生活提供了便捷的交流平台,但它是一把"双刃剑",也导致很多学生痴迷于网络.网络中的不良信息除对社会造成影响外,也对学生的生理、心理、行为等方面产生影响.本文通过对大学生上网行为问题研究,提出解决大学生上网行为问题的软硬策略,使上网行为管理得以完善.     

一种用UML和SystemC进行嵌入式系统的系统级建模的方法

本文用UML建模工具RationalRose设计了果蔬清洗机的嵌入式系统UML模型,然后再以UML模型为蓝本,用可执行的SystemC语言对该系统进行系统级描述.论文同时给出了系统的最终描述结果,并运行得出了仿真结果.     

受限功能信息家电的Jini启用

受限功能信息家电由于功能限制而不能自主加入Jini群体。本文主要探讨了在这类设备中如何启用Jirti技术。并提出了几种可行的方案。     

Detection of the boundary-layer separation point based on the flexible sensor arrays

Microelectromechanical systems plays an important role for studying gaseous or liquid fluid flows experimentally due to the dimensions of the device on the μm-scale. For aerodynamic applications, the detection of the location of the separation point of the boundary layer is very important, which is used for active flow control and smart skin adaptive control system. This paper presents the design and integration methods of a flexible polymide substrate micro thermal sensor array, sensor array driver circuit, dynamic data acquisition circuit, and criterion algorithm of the boundary layer separation point. The above algorithms were used to analyze the NACA0012 wind tunnel test data at flow conditions of the velocity 40 m/s and AOA 16°. The result demonstrated the above system can fulfill the dynamic and real-time of the adaptive control system.     

A neural network-based approach for dynamic quality prediction in a plastic injection molding process

This paper presents an innovative neural network-based quality prediction system for a plastic injection molding process. A self-organizing map plus a back-propagation neural network (SOM-BPNN) model is proposed for creating a dynamic quality predictor. Three SOM-based dynamic extraction parameters with six manufacturing process parameters and one level of product quality were dedicated to training and testing the proposed system. In addition, Taguchi’s parameter design method was also applied to enhance the neural network performance. For comparison, an additional back-propagation neural network (BPNN) model was constructed for which six process parameters were used for training and testing. The training and testing data for the two models respectively consisted of 120 and 40 samples. Experimental results showed that such a SOM-BPNN-based model can accurately predict the product quality (weight) and can likely be used for various practical applications.