机械零件智能化检测系统的平台技术

介绍一种机械零件智能化检测系统的新设计思想和方法 ,并对其平台技术基本原理、设计思想、技术特点及其优越性进行了详细论述。     

制造企业设备管理信息化系统研发

以制造型企业的设备管理为研究对象,在分析研究企业设备信息化管理的业务流程基础上,吸收了设备生命周期管理的思想,综合应用计算机技术、IT技术、网络技术、数据库技术以及先进的管理思想,对设备管理信息化系统及其子系统的业务流程、功能模型、数据库系统进行了设计.并成功应用了编码技术和库存预警技术,提升了设备管理系统的便捷性和实用性,使该系统真正能够提高制造企业设备管理的效率,有效降低设备管理的成本.     

测控系统总线技术的现状与分析

比较分析了当前主要几种测控系统总线技术。总线技术突出了“刚好够用”得设计思想,特别是“软件即仪器”的思想带来了测控技术的变革。     

AOI系统在SMT生产线上的应用

介绍了AOI技术的主导思想、实施策略、技术新突破和设备。     

基于XML的IP智能测控系统跨平台思想的实现

概述IP智能测控系统跨平台思想,提出了系统在通信不同层次下实现跨平台思想的技术路线,重点阐述了基于XML数据交换接口的跨平台特性,对IP测控系统中跨平台信息流进行分析,确定XML数据传输的应用层通信协议和系统跨平台思想的实现方案。结果表明,IP测控系统跨平台思想的实现,满足了测控系统日益复杂、多样化的发展需求。     

结构损伤监测的研究现状与展望

为了从设计思想上保证结构具有良好的可监测性,使重要结构的安全运行确实得到保障,将损伤容限耐久性设计思想、现代智能测控技术、分布式数字信号处理技术和先进的在线故障诊断技术相结合,在总结相关学科领域研究进展的基础上,进行了多学科交叉和多方法、多技术的融合研究,提出了未来机械设备结构损伤监测的发展方向。     

绿色耐蚀耐磨表面处理与DSA电极技术

本文综述了毒性铬、镉镀层的替代涂镀层技术、DSA电极代替毒性铅阳极的应用技术,介绍了北京科技大学依据非晶化提高耐蚀性、纳米化提高耐磨性的思想所开发的具有优异耐蚀耐磨综合性能的非晶/纳米复合结构涂镀层技术,DSA电极技术。     

《老子》中有关机械的论述及其思想

老子的技术思想在中国哲学与中国科技史上占有极为重要的地位，讨论了《老子》中有关机械工程技术的内容及其技术思想。     

先进信息化再制造思想与技术

阐述了再制造工程中创造性地运用制造技术中的成组技术、虚拟制造技术、柔性制造技术、信息化制造技术实现成组再制造、虚拟再制造、柔性再制造以及信息化再制造等先进的再制造思想和技术的概念、特点及应用,对于促进先进信息化再制造技术的发展具有重要意义。     

基于信息融合思想设计机械工程测试系统

根据信息融合技术思想,阐述了机械工程测试系统的构成。以摩擦学故障为例,讨论了基于信息融合思想设计的摩擦学故障的监测与诊断系统。     

Prediction of Steady-State Wear Coefficients in Adhesive Wear

With an integrated adhesive wear model, Yang's second wear coefficient equation was previously found suitable for modeling the standard wear coefficients for both the transient wear and the steady-state wear of MMC-A, MMC-B, and MMC-C, which are aluminium-based matrix composites containing 10%, 15%, and 20% alumina particles, respectively. In this study, Yang's third wear coefficient equation was used to predict the standard wear coefficient and the net steady-state wear coefficient, respectively, for MMC-D, an aluminium alloy matrix composite containing 20% spherical alumina particles, and an aluminium alloy A6061-T6. As compared with the wear data obtained previously, the average deviations were found to be about 23% and 15%, respectively, for the predicted standard wear coefficients and about 20% and 65% for the predicted net steady-state wear coefficients for the two materials respectively. The high deviation of about 65% obtained for the aluminium alloy was due to the very low wear rate obtained during wear testing with a long sliding distance, with the presence of powdery debris.     

基于分形理论的磨粒磨损模型

本文在M-B接触分形模型的基础上,根据塑变磨损理论导出了基于分形参数的磨粒磨损模型,建立了磨损率与分形维数之间的关系,综合反映了材料的磨损规律和表面特性。根据该模型可知,当分形维数在某一范围时,磨损率随分形维数的减小而迅速增大;而在另一范围时,磨损率随分形维数的增大而增大;当分形维数等于1.5时,磨损率达到最小值。当分形维数一定时,磨损率随尺度系数、磨损概率常数的增大而增大,随材料性能参数的增大而减小;当其余各影响参数保持一定值时,磨损率随接触面积的增大而增大。     

Characteristics of Extrusive Wear and Transition of Wear Mechanisms in Elevated-Temperature Wear of a Carbon Steel

The dry sliding wear of a medium carbon steel with different microstructures was measured under the normal load range of 50–150 N at 400°C by a pin-on-disc high-temperature wear setup. The wear behavior and wear mechanism were systematically studied; in particular, the characteristics of extrusive wear and the transition of wear mechanisms were investigated. Under low normal loads, the wear is oxidative type wear. Once the normal load reached a critical value, a mild-to-severe wear transition occurred, and subsequently an extrusive wear prevailed. The mild-to-severe wear transition depended on the microstructure of matrix; the critical normal load of the transition was 112.5 N for tempered sorbite, 125 N for lamellar pearlite, and 137.5 N for tempered martensite and tempered troostite. As oxidative wear prevailed, a thick oxide layer about 20–30 μ m and a plate-like wear debris with regular outline were recognized. However, as the extrusive wear occurred, the wear rate abruptly increased but the friction coefficient was reduced. The extrusive wear predominated due to thermal softening of the matrix and presented a superthin oxide layer (less than 0.5 μ m) and low oxide content on worn surfaces, accompanied by the appearance of ribbon-like wear debris.     

Measurement Uncertainties in Wear Rates

Measurement uncertainties are vital to discussions of differences in measured values, yet they scarcely accompany discussions of wear and wear rates in the tribology literature. In this methods article, approaches to calculate uncertainties in single-point and steady-state wear rates are presented. The analysis includes analytical treatments of uncertainties for typical macroscopic tribology instrumentation. A fully statistical treatment using Monte Carlo simulations is also presented and discussed for steady-state wear rate uncertainty analysis for an arbitrary number of interrupted measurements of volume loss.     

Wear particle analysis—utilization of quantitative computer image analysis: A review

This paper provides a general overview of developments and progress in quantitative computer image analysis as applied to wear particle identification/classification technology, over the last two decades. Since many technical disciplines are involved in this ‘infant-stage’ technical area, an attempt is made to put into perspective mechanical failure prediction/diagnosis and prevention through quantitative wear particle morphological analysis. The problems experienced with applying conventional wear particle analysis methods in machinery condition monitoring, notably the employment of wear debris morphological diagnostic systems, revealed that it is not prudent to rely solely on human interpretation in the analysis of ‘filtergram’ slides. This has highlighted the need for improving the provision of ‘intelligent’ objective methods for performing this type of analysis. In this paper, some of the developments reported in the literature relating to progress made with wear particle image analysis are reported and examined as a basis for establishing improved methods of diagnostic analysis.     

聚甲醛等塑料的耐磨性能分析

分析了塑料耐磨性能的影响因素，比较了聚甲醛等塑料在不同载荷及不同对磨时间下的磨损情况。     

汽车轮胎磨损机理的研究

综合分析了汽车轮胎和路面间相互作用产生的磨损形式和磨损机理,以及研究轮胎磨损常采用的方法。运用摩擦学原理提出了轮胎磨损的分类形式,为正确预测正常工作条件下的轮胎磨损率提供了必要的基础知识。     

神经网络技术在基于油液分析的发动机磨损诊断中的应用

本文简述了人工神经网络技术在基于油液分析的自行火炮发动机磨损故障诊断中三个方面的应用,具体包括发动机磨损磨粒的识别、磨损元素浓度值的预测和磨损故障智能诊断,文后讨论了神经网络技术应用与机械故障诊断领域的发展方向。     

镍基合金涂层滑动磨损过程中磨屑的演变机理

在真空熔结镍基合金涂层(成分是0．65％C-24％Cr—3．5％Si-3．5％B-3．0％Mo-6％Fe-Ni余量)与65Mn钢组成的滑动磨损系统中，研究了磨屑的演变机理。磨损过程中磨屑不仅存在氧化、碎化等化学、机械过程，还存在因相互挤压、粘结甚至微区热压烧结等冶金过程，两方面的共同作用，使氧化物磨屑成分均匀化。应用Fe-Ni-O系统相图对高温磨损磨屑进行相分析。     

机械设备磨损故障的分类与铁谱诊断的探讨

根据智能化铁谱诊断的要求,本文给出了机械设备磨损故障的定义并对机械设备磨损故障进行了系统的分类。提出将铁谱诊断水平划分成三个级别,综合分析了铁谱诊断方法,给出了一个智能化铁谱诊断模型。