基于道路谱的汽车车身疲劳分析

为提高汽车耐久性能,基于道路谱的车身疲劳分析,以实车道路试验采集得到的加速度、位移和应变等数据作为输入进行虚拟迭代;以车身接附点力和力矩等虚拟迭代结果作为疲劳分析的输入进行车身疲劳分析和优化,使车身耐久性能满足可靠性能目标.     

虚拟样机技术在家电产品开发中的应用

该文简要介绍了虚拟样机技术的概念以及目前的发展应用状况。指出虚拟样机技术在家电产品开发过程中应用的可行性。对虚拟样机技术在家电产品开发中的应用思路进行了分析，说明其应用主要是指综合利用三维造型设计(CAD)技术、加工仿真(CAM)技术、虚拟装配技术、机构运动学动力学仿真技术、虚拟试验研究、试验设计(DOE)及参数优化技术来加快设计和投产的速度，保证产品质量。并举例应用Pro/E、ADAMS软件对某家用吸尘器进行虚拟样机建模，对其过滤网的受力进行仿真分析找出失效原因，进而完成过滤器结构的优化设计。     

基于隐式参数化的车身多学科轻量化设计

为实现整车综合性能的快速方案验证和优化设计,在新车型设计阶段构建车身隐式参数化模型,并对其进行模态、刚度和安全等综合性能计算,验证参数化模型的有效性。基于灵敏度分析、试验设计（design of experiments, DOE）方法和近似模型优化等策略,对某白车身进行多学科轻量化设计。优化设计结果表明,白车身的模态、刚度和安全性能均满足设计要求。     

SPI接口在车门控制模块中的应用

在车身控制系统中,为了节省布线,需要对车身进行总线化设计。为此本文介绍了一种通过单片机SPI接口并采用车门驱动芯片L9950代替传统继电器来控制车门各个部件的方案,阐述了软硬件设计原理。演示电路板在真实车门上实现了车门部件的实时控制和故障诊断并通过了基本功能测试。     

汽车驾驶室平顺性优化设计

建立汽车驾驶室刚弹耦合模型,输入随机路面激励,研究汽车驾驶室底板的振动响应;通过虚拟样机计算结果与试验进行对比,验证模型的正确性;以驾驶室悬置的弹簧刚度、减振器阻尼为影响因素,通过虚拟DOE正交试验分析方法进行优化设计,显著改善驾驶室平顺性.     

基于隐式参数化耦合模型的车身集成优化

为提高车身截面优化效率,基于SFE CONCEPT构建白车身关注部位的隐式参数化模型,并与白车身有限元非参数化模型进行耦合,使参数化模型与有限元模型耦合边界处的连接关系随截面变化自动更新,通过试验验证耦合模型的有效性。基于试验设计（design of experiments, DOE）方法、近似模型、多目标优化等策略,对白车身耦合模型进行刚度和模态等多学科集成优化,实现车身局部结构快速轻量化设计。     

基于面片的钢结构节点的虚拟装配

为解决在传统计算机辅助设计方法下进行钢结构节点的装配设计中缺乏直观性、灵活性的问题,对钢结构节点的虚拟装配进行了研究.以面向对象的参数化的方法,基于面片进行钢结构部件的三维实体造型;基于面片的拾取保证了面片的交互式获取;基于面片之间的几何约束进行几何变换确定了铜结构部件在装配体中的几何位置.通过程序的开发,实现了高精密度的三维实体造型、交互式的三维操作、可视化的三维视图的结合,表明了此虚拟装配解决方案的可行性.     

测试测量设备虚拟维修样机行为建模研究

将测试测壁设备虚拟维修样机划分为操作部件类和响应部件类,对其行为属性建模方法进行研究.分析了操作部件行为约束关系,基于Vega函数对操作部件的旋转和平移运动方式进行了实现;根据测试测量设备仪表显示特点,将响应部件类划分为数字显示、指示灯亮灭以及波形绘制等基本功能模块;借鉴数码管亮灭控制方法,使用视景仿真建模软件Multigen Creator中的SWITCH节点控制七段数码管的亮灭以显示数字;采用空间绘制曲线的GL-LINE-STRIP算法,基于OpenGL Performer实现了波形的动态显示.     

基于LabVIEW的虚拟车身CAN总线节点设计

为研究汽车车载CAN总线节点网络控制功能,通过对大众PASSAT1.8车身CAN总线系统的数据测试得该系统网络控制是以控制数据帧和状态数据帧的传输实现;选用通用CAN总线接口卡,上位机采用LabVIEW编程,设计虚拟左前门控单元节点模型样机;经实验表明,基于PC平台的虚拟车身CAN总线节点可替代实体车身CAN总线节点来实现原车网络控制功能,具有较强的开放性与灵活性,并可为车载CAN总线系统网络设计、测试与教学提供支撑.     

姿控发动机地面虚拟试验模型集成软件设计

以某型号姿控发动机地面试验系统为研究对象,进行了姿控发动机地面虚拟试验模型集成技术的研究;首先对建立的发动机地面试验系统的物理模型进行模块化分解,然后利用VC语言对各部件模型进行了计算机仿真和全系统的模型集成,建立了姿控发动机地面虚拟试验集成系统的软件平台;该平台能任意搭建局部级和系统级的姿控发动机地面虚拟试验系统,模拟发动机真实点火试验中各部件的工作状态;各部件的虚拟试验结果证明,该模型集成软件具有较高的仿真精度,达到了预期的目标.     

基于Abaqus的汽车天窗顶盖刚度分析

汽车外板的抗凹性能是反映外板使用性能的重要特性.应用CAE技术分析某车带天窗顶盖的刚度.考虑材料、几何和边界的复杂非线性以及模拟天窗的夹紧,用Abaqus隐式弧长算法对某车型开天窗后的顶盖的抗凹性能进行模拟分析.对顶盖的抗凹性分析和评价为设计工程师提供重要参考.     

Integrated design technique for materials and structures of vehicle body under crash safety considerations

With the rapid development of the vehicle industry, crashworthiness has become a crucial aspect in vehicle body design. In fact, crashworthiness is a multivariable optimization design problem for a vehicle body, regardless of structure or material. However, when crashworthiness involves a large number of design variables, including both material and structure variables, it is more difficult to deal with. In this paper, an integrated design technique for materials and structures of vehicle body under crash safety consideration is suggested. First, a finite element model of the vehicle body is established according to relevant vehicle safety standards. Then, the material parameters of the vehicle body are set as analytical factors for factor screening. Next, significant factors are obtained using a three-level saturated design integrated with multi-index comprehensive balance analysis and the MaxUr ⁽³⁾ method, with an improved evaluation method. These screened material parameters along with the corresponding continuous variables of the structure, are considered as the design variables of the integrated design of the vehicle body. Both the weight and the crashworthiness properties are set as the design objectives. Optimal Latin hypercube sampling and radius basis functions are utilized to construct highly accurate surrogate models. Furthermore, the non-dominated sorting genetic algorithm II is implemented to seek the optimal solutions. Finally, two cases considering the roof module and the frontal module of a vehicle body are analyzed to verify the proposed method.     

Multidisciplinary design optimization of a vehicle system in a scalable, high performance computing environment

Multidisciplinary Design Optimization of a vehicle system for safety, NVH (noise, vibration and harshness) and weight, in a scalable HPC environment, is addressed. High performance computing, utilizing several hundred processors in conjunction with approximation methods, formal MDO strategies and engineering judgement are effectively used to obtain superior design solutions with significantly reduced elapsed computing times. The increased computational complexity in this MDO work is due to addressing multiple safety modes including frontal crash, offset crash, side impact and roof crush, in addition to the NVH discipline, all with detailed, high fidelity models and analysis tools. The reduction in large-scale MDO solution times through HPC is significant in that it now makes it possible for such technologies to impact the vehicle design cycle and improve the engineering productivity.     

Single-sided piercing riveting for adhesive bonding in vehicle body assembly

With increasing use of advanced high strength, lightweight materials and alternative vehicle architectures, materials joining issues have become increasingly important in automotive vehicle body assembly. Among the various joining methods, adhesive bonding is one of the important techniques for joining dissimilar materials in vehicle body assembly. During curing of the adhesive, it is necessary to fix and control the gap between the sheet panels to ensure the bonding strength and geometric quality. In this paper, a novel process, the single-sided piercing riveting (SSPR), is proposed for fixing and controlling the gap between the sheet panels during adhesive bonding of vehicle body assembly. The SSPR is a cold forming process for joining two or more sheet parts by driving a specifically designed U-shaped rivet using an impact force. The SSPR process is easy and convenient to implement without the need of a direct back support, and can meet the limited space requirement of vehicle body assembly. Joining experiments and performance tests were carried out to validate the effectiveness of the SSPR process. Performance comparison with other joining methods shows that mechanical properties of the lap-shear SSPR-bonded joints are superior to that of the SPR and SPR-bonded lap-shear joints.     

地铁车辆车顶吊挂元件动态试验工装设计

为研究地铁车顶吊挂元件所用连接件的连接参数和疲劳特性,设计一套地铁车辆车顶吊挂元件动态试验工装。工装固定在振动试验台上,模拟地铁车辆车顶局部吊挂梁的安装结构,测试车顶吊挂梁连接件在模拟振动环境下的连接参数,为地铁车辆常用紧固件连接参数的选定提供依据。为验证工装的力学特性是否满足试验要求,利用有限元软件校核工装强度,并在其频域内进行随机振动疲劳分析,计算结果表明工装的静强度和疲劳寿命均满足试验要求。     

某清扫车车架结构分析与拓扑优化设计

为了提高某自卸清扫车车架的力学性能并减轻重量,建立了车架的有限元模型,对车架进行了强度和刚度校核以及模态分析。并借助LS-DYNA分析了车架中间矩形框在外力激励输入下的位移时程曲线,得到了车架的变形及变化趋势,针对车架的动态变形分析结果,对车架中间矩形框的前后横梁加强区域进行了局部拓扑优化,以减少材料使用提高车架刚度,改善了车架的动态特性。分析结果表明:车架静态强度满足工作要求,工作时路面激励及怠速不会引起车架共振。     

基于道路谱的汽车底盘静强度分析

基于道路谱的半分析载荷对某汽车底盘进行静强度分析.采集实车在试车场各种恶劣行驶环境下的道路谱,作为整车动力学分析的载荷条件.建立刚柔耦合的整车多体动力学模型,基于柔性体模态应力恢复获取分析部件连接点的载荷,并作为有限元分析的输入载荷.应用惯性释放法进行静力学强度分析,得到底盘部件的应力分布特征,据此确定薄弱区域.相对于全分析载荷,半分析载荷的强度分析能更有效预测底盘部件薄弱区域.     

A Comparative study on multiobjective reliable and robust optimization for crashworthiness design of vehicle structure

Design optimization without considering uncertainties of system variables and parameters can be problematic in real life. In order to take into account the effect of uncertainties, reliable and robust design schemes have proven effective, but limited studies have been reported to compare their difference in a multiobjective framework. This paper takes a typical vehicle structure subject to offset frontal crashing scenario as an example to compare reliable and robust designs with their deterministic counterpart. The thicknesses of some key components of vehicle frontal structures were selected as design variables, the vehicle weight and energy absorption as the objectives, deceleration and firewall intrusion as the constraints. The deterministic multiobjective optimization problem was first solved by adopting Design of Experimental (DOE), metamodels and Non-dominated Sorting Genetic Algorithm II (NSGA-II). Take into account the uncertainties, a Monte Carlo Simulation (MCS) is adopted to generate random distributions of the objective and constraint functions for each design. For the reliability-based optimization the desired reliabilities of 90 %, 95 % and 99 % are considered, respectively. For the robustness-based optimization, two different formulation strategies are adopted. The optimization showed that the reliable and robust Pareto fronts are shifted away from their deterministic counterpart due to uncertainties. The different Pareto fronts yielded from the deterministic, reliable and robust designs are compared to provide some quantitative insights into how to apply these different design schemes for resolving uncertainty problems. It is shown that, compared with the baseline design, the optimizations enhance the crashworthiness of vehicle, though more conservative solutions could have been generated from the reliable and robust optimizations.