Microstructure evolution and mechanical anisotropy of M50 steel ball bearing rings during multi-stage hot forging

This study aimed to explore the evolution of flow lines and microstructures of M50-steel bearing ring and the anisotropy of its tensile mechanical properties after Multi-Stage Hot Forging (MSHF) and subsequent spheroidizing annealing (MSHFA). To this end, the present study mainly employed stereo microscopy, Optical Metallurgical Microscopy (OMM), Scanning Electron Microscopy (SEM), and Electron Backscatter Diffraction (EBSD) to characterize and analyze the workpiece at each processing stage of MSHF while performing microhardness measurement and uniaxial tensile experiment to test and analyze the mechanical properties of the workpiece. Macro-structure observation showed that the simulation results of flow lines at each stage were consistent with the experimental results. Microscopic observation showed that, after MSHF, deformation gradually became less significant along the outward radial direction of the bearing ring. After MSHFA, the microstructures of the bearing ring became uniform, whereas primary carbides did not dissolve. The mechanical properties were better in the axial direction (AD) than in the radial (RD) and circumferential directions (CD) after MSHF due to the smaller grain width. After MSHFA, the mechanical properties in the ADs and CDs were better than those in the RDs, which was due to the large cross-sectional area of carbides along the flow-line direction.     

柔片式密封数值计算及性能分析

针对高速转子柔片式密封系统,建立了密封区域流场的数学模型,采用一种修正的压力耦合方程组的半隐式方法(Semi-Implicit Method for Pressure-Linked Equations Revised, SIMPLER)算法和有限差分法对数学模型进行数值求解,构建了柔片式密封性能分析程序,得到密封系统的压力场分布、速度场分布及泄漏量等,研究了不同结构参数和工况参数对密封性能的影响.分析结果表明:泄漏量随密封压差的增大呈线性增长趋势,而随转子转速的增大略有减小;增加柔片宽度、减小柔片长度、减小前/背板-转子间距均对降低密封系统的泄漏量有益,而柔片安装角度的变化则对密封系统的泄漏量影响不明显.基于流场的结果,柔片和转子的动力学响应将被研究.      

环件轧制参数与质量关系研究

在分析环件加工过程的运动和受力的基础上,定义了环件的端面平整度和外圆的圆度误差作为环件质量的表征参数。通过仿真,分析了环件轧制过程中芯辊进给速度、驱动辊转速和上锥辊进给速度与环件质量之间的关系。仿真结果为环件轧制工艺参数定义提供了参考。     

导弹远距离计算机通信网的设计与实现

提出了一种可进行双向通信的双环结构 ,研究设计了测试发控系统进行远程通信的硬件接口方式 ,解决了RS 2 32接口不能进行远距离通信的问题。软件设计采用模块化程序设计思想 ,利用软件跟踪技术对软件进行优化处理和软件潜在陷阱的清除 ,实现了复杂系统之间命令和数据的可靠传输。     

SCI环平均消息延迟的初步研究

SCI环采用缓冲器插入技术,允许环中存在多个消息并发传输的情况,这给SCI环的数学建模带来了困难,文中根据排队理论,对SCI环的平均消息延迟进行分析,给出平均消息延迟与吞吐量的数学表达式。     

大直径框环拉弯模设计及应用

阐述了大直径框环成形原理,介绍了新型拉弯机并选定其工作状态。文章还分析了拉弯模具的受力情况和结构,并解决了大直径框环拉弯回弹值的选取问题及新型拉弯机与模具的接口问题。     

28 MPa 压力级别O型密封圈主要设计参数分析

飞机液压系统依靠被密封的工作介质来传递力和速度,因此,系统密封性的好坏直接影响系统的效率和工作性能,严重时将导致系统不能工作。O型密封圈由于具有优越的密封性能、密封结构简单和拆装方便等优点,被广泛应用于液压系统密封装置中。O型密封圈的参数设计对密封装置的有效密封起到关键性作用。现行有效的HB/Z4-1995适用于21 MPa压力体制液压系统密封结构及密封件设计,以1S243和1S384为基础,对28 MPa压力体制液压系统密封结构及密封件的压缩率、拉伸率等主要参数进行计算,并给出推荐参数选择范围,可以给28 MPa压力体制液压系统密封结构及密封件设计提供依据。     

一种低迟滞低磨损的指尖密封型线构形的研究

针对迄今指尖密封多目标性能优化研究中存在的难以实现迟滞性能和磨损性能同步改善的问题,通过引入Stackelberg对策理论,并将指尖密封型线构形作为优化"元素",构建了指尖密封迟滞性能和磨损性能优化的Stackelberg模型.在正向Stackelberg主从对策机制下,采用基于有限元仿真和BP神经网络的遗传算法在Stackelberg系统主从层面上实现了指尖密封性能的可控优化,获得了具有低迟滞低磨损性能的"上凹"构形指尖密封型线.有限元仿真分析合理地解释了"上凹"型线指尖密封具有较好性能的原因,表明"上凹"型线指尖密封具有良好的应用前景.      

小子样下导电滑环磨损失效仿真的可靠性评估研究

针对滑环失效数据较少的特点，构建导电滑环磨损失效模型，结合小子样数据处理法和随机性理论对滑环摩擦副进行可靠性评估研究。首先，考虑滑环摩擦副在热力电多场耦合环境下的特点，应用传热学、赫兹理论、能量守恒定律量化多场耦合对滑环摩擦副的影响，再结合Archard模型理论构建导电滑环摩擦副磨损失效模型。然后，采用小子样数据的虚拟增广法和Boot-strap法对仿真数据进行扩展，根据滑环磨损特征量分布规律分别得到随机失效阈值与固定阈值下的可靠度函数曲线，以某厂制造的导电滑环为例，进行滑环摩擦副可靠性评估，实验结果表明随机失效阈值下的可靠度与实际更接近。研究表明所构建的磨损模型和方法可以有效地对导电滑环进行可靠性评估，避免了传统的必须依赖大量试验数据的方法，解决了缺少滑环试验数据而难以进行可靠性评估的问题，填补了导电滑环可靠性研究的空白。     

Reliability estimation of mechanical seals based on bivariate dependence analysis and considering model uncertainty

The reliability estimation of mechanical seals is of crucial importance due to their wide applications in pumps in various mechanical systems. Failure of mechanical seals might cause leakage, and might lead to system failure and other relevant consequences. In this study, the reliability estimation for mechanical seals based on bivariate dependence analysis and considering model uncertainty is proposed. The friction torque and leakage rate are two degradation performance indicators of mechanical seals that can be described by the Wiener process, Gamma process, and inverse Gaussian process. The dependence between the two indicators can be described by different copula functions. Then the model uncertainty is considered in the reliability estimation using the Bayesian Model Average (BMA) method, while the unknown parameters in the model are estimated by Bayesian Markov Chain Monte Carlo (MCMC) method. A numerical simulation study and fatigue crack study are conducted to demonstrate the effectiveness of the BMA method to capture model uncertainty. A degradation test of mechanical seals is conducted to verify the proposed model. The optimal stochastic process models for two performance indicators and copula function are determined based on the degradation data. The results show the necessity of using the BMA method in degradation modeling.