大功率柴油发动机拉缸故障原因分析与使用维护

本文分析了大功率柴油发动机拉缸形成的机理、原因及预防措施和修理技巧。     

轮胎起重机支腿缸漏油的处理

轮胎起重机支腿缸漏油直接关系到作业安全的问题,驾驶员一旦发现有泄漏现象,就必须报停修理。据统计,本公司每年需要更换红光牌轮胎起重机新支腿缸10只、修理103台次,约2天1台次的修理量。有时更换新支腿缸后,最长两个月就出现泄漏现象,最短的仅有20多天。 分析其原因可能是:由     

某型柴油机拉缸故障原因分析与处理

对某型船用主柴油机在修后航行试验过程中出现的拉缸故障停车现象,进行了原因分析和故障排除,恢复了舰船动力设备的性能,保证了修理工程的顺利进行.     

活塞与缸口导承的修复

我们在修理液压设备时,发现由于材料性能不好,引起了活塞与缸壁、活塞杆与缸口导承密封口严重磨损、拉毛,甚至产生粘合等现象,遭成损坏漏油。修理时若全部改用耐磨的铜材配制磨损件,不但浪费铜材,而且强度往往不够;若采用镶套法,又会增加泄漏面,且往往几何尺寸也不允许。针对这一情况,我们采用了氧炔镀铜法。在维修和制造中,经过几年的实际考     

小缸径油缸拆装一体机的设计制作

液压支架的小缸径油缸缸径有φ80 mm和φ63 mm两种,结构小,导向套的结构为螺纹连接,人工进行拆装存在着劳动强度大、修理效率低的问题。文中设计制作了一套小缸径拆装一体机。     

水压机工作缸过早损坏原因分析及修理

本文主要叙述了水压机工作缸损坏原因和防止措施。根据损坏部位和情况不同,通过强度校核和受力分析确定已损坏的工作缸能否修复。文章同时给出了3个工作缸的修理实例。     

飞机光固化复合材料机械疲劳试验设计

传统修理工艺主要采用金属补片对飞机结构损伤进行铆接、焊接或螺接修补,所需工具、设备多,对操作人员要求高,修复时间长。与传统工艺相比,运用复合材料对飞机结构损伤进行光固化修理具有修理时间短、成形性能好、修理增重小等优点,因此,光固化复合材料修理已得到越来越多的接受和青睐。对飞机光固化复合材料修理补片的疲劳寿命测试进行了试验设计,并考核了不同修理工艺(半宽度胶接、全宽度胶接及铆接修理)试样的疲劳寿命,为确定最佳修理工艺提供了试验依据。     

大型柴油机机体镗缸专机工作台及床身的修理

摘 要:某大型柴油机机体镗缸专机的工作台和床身的导轨面需要进行修理,正常维修工艺需要大量的钳工铲刮时间,且质量难保证.文中介绍利用工艺块进行调整安装,使用镜面加工在凹导轨面上加工出交叉纹路来代替人工铲刮,效果良好.     

设备的修理（续）

3.统计内容及表格。推荐按表8-9“机械设备修理工时及停歇时间统计表”,表8-10“机械设备修复用备件、材料统计表”及表8-11“机械设备修理费用统计表”的内容进行统计。按这三个统计表,可分别求出单位机械修理复杂系数和单位电气修理复杂系数的平均修理工作定额。这样,可避免把机械和电气修理工作定额混在一起,从而有利于进行经济活动分析。4.收集设备修理记录进行统计。在正常情况下,如企业的设备管理部门已经建立并开展了此项统计工作,每月应将上月完工的修理项目按修理记录及有关部门提供的数据填入统计表。如企业尚未建立此项统计工作,…     

一种安装及拆卸螺塞环扳手研制

介绍了通过实际修理气动工具而得出的一种新型拆装工具的研制,其是为恢复故障气动工具的使用功能而进行的一项拆卸技术设计,通过使用该种新型拆装螺塞环扳手作为修理故障气动工具,不仅提高了修理效率,延长了气动工具的使用寿命,而且还大大降低了修理难度及修理成本,为企业生产设备的修理提供了最有效的维修保障。     

Optimisation of crew size and repair policy in flexible manufacturing systems

This paper presents a simulation-based scheduling algorithm for evaluating the performance of different repair policies and computating the optimum size of repair-crews in flexible manufacturing systems. The simulation experiments were conducted for a system with numbers of machines ranging from six to twelve, processing 15 different types of parts. The experiments were planned according to the rules of central composite rotatable experiment design, and the system performance was optimised on the basis of minimum unit production cost. It has been concluded that for the particular system configuration studied, a repair policy based on shortest repair time yields the best results. It has been shown further that the optimum size of repair crews is much more sensitive to labour costs than to other production-associated costs.     

Optimal inspection policy for three-state systems monitored by variable sample size control charts

This paper presents the expected long-run cost per unit time for a system monitored by an adaptive control chart with variable sample sizes: if the control chart signals that the system is out of control, the sampling which follows will be conducted with a larger sample size. The system is supposed to have three states: in-control, out-of-control, and failed. Two levels of repair are applied to maintain the system. A minor repair will be conducted if an assignable cause is confirmed by an inspection, and a major repair will be performed if the system fails. Both the minor and major repairs are assumed to be perfect. We derive the expected long-run cost per unit time, which can be used to obtain the optimal inspection policy. Numerical examples are conducted to validate the derived cost.     

An integrated model of dynamic cellular manufacturing and supply chain system design

In a global dynamic environment, there is a need to develop organizations and facilities significantly more flexible and responsive. This work proposes an integrated model of dynamic cellular manufacturing and supply chain design with consideration of various issues such as multi-plant locations, multiple markets, multi-time periods, reconfiguration, etc. The model objective was to minimize the sum of various costs such as facility/plant to market transportation cost, part holding cost at a facility/plant, part outsourcing cost, machine procurement cost, machine maintenance overhead cost, machine repair cost, production loss cost due to machine breakdown, machine operation cost, setup cost, tool consumption cost, inter-cell travel cost, intra-cell travel cost, and system reconfiguration cost for the entire planning time horizon. To study the model, three procedures—LINGO, artificial immune system, and hybrid artificial immune system—are used to perform computational experiment on some problems from existing literature. The best result generally is found by the hybrid artificial immune system algorithm.     

基于蚁群算法的复合材料结构件的返修计划问题

为解决目前生产中出现的复合材料结构件的质量缺陷问题,G公司设立了复合材料结构件返修工序.针对结构件返修计划问题,以最大化返修计划中的结构件数量为目标,同时兼顾公司出货计划延迟和WIP成本(在制品成本)增加的情况,建立了0-1整数规划模型,进而以蚁群算法为基础提出了2种伪随机选择规则.根据实际情况采用不同参数设计算例来验证算法的性能.结果表明在最大化返修结构件数量方面,算法一优于算法二,而在减小公司出货延迟和控制WIP成本方面,算法二优于算法一.     

冲压模具的维修与保养

模具的预防性维修和保养,在很大程度上能减少品质事故,降低维修成本.通过对冲压模具的维修与保养及结构改进过程的介绍,说明模具维修的重要性,保证了冲压正常生产,提高了模具的质量.实践证明,在有条理预防的同时,结合计划性的保养,对模具施行合理的改进措施,可极大的提高生产效率和产品品质.     

用遗传算法优化制造设备的预防性维修周期模型

建立了预防性维修周期间故障的递推关系式，给出了有限时间区间的设备预防性维修策略的非线性优化模型。该模型综合考虑了维修成本、预防性维修成本和生产损失成本，克服了无限时间区间稳态分析操作性差的缺点，并以故障分布形式为威布尔分布的设备为例，用遗传算法进行优化。计算结果显示，遗传算法能以极快的收敛速度达到全局最优，具有较高的计算效率。模型可为维修计划的制定和现场的作业调度提供决策支持和信息支持。     

Planning performance based contracts of repairable system using discrete event simulation

This paper investigates a discrete event simulation approach for managing performance based contracts of repairable systems. We focus on an integrated service delivery environment where the manufacturer develops capital-intensive systems and also provides after-sales support. We propose a simulation model to calculate system availability comprehending four performance drivers: life time distribution, repair time distribution, spare parts inventory, and repair facility. This simulation model allows the service supplier to minimize the total cost by optimizing the four performance drivers. In this simulation model, the failure time and repair time can follow arbitrary distribution. This will allow the customer to monitor the supplier’s service through comparing the actual availability and its theoretical value. The costs of three maintenance policies also can be studied under the performance based contracts framework. Two cases are considered in this paper. One is a system containing single unit, one warehouse, and one repair center. Another is a system containing two fleets with different installed units, two spare part warehouses with one for each fleet, and a central repair depot.     

基于Internet的远程故障诊断与维修向导系统研究

对基于Internet的远程故障诊断和维修向导技术进行了探讨，介绍系统的总体结构、功能模型，并以柔性制造系统（FMS）为应用对象，采用动态Web技术成功开发了原型系统。实际应用证明该技术对实现复杂系统故障诊断与维修资源信息共享，实现故障快速诊断和维修，提高系统的可用度、降低维修成本是有效、可行的。     

Dynamic cellular manufacturing systems design��a comprehensive model

This paper addresses the dynamic cell formation problem (DCF). In dynamic environment, the product demand and mix changes in each period of a multiperiod planning horizon. It causes need of reconfiguration of cells to respond to the product demand and mix change in each period. This paper proposes a mixed-integer nonlinear programming model to design the dynamic cellular manufacturing systems (DCMSs) under dynamic environment. The proposed model, to the best of the author??s knowledge, is the most comprehensive model to date with more integrated approach to the DCMSs. The proposed DCMS model integrates concurrently the important manufacturing attributes in existing models in a single model such as machine breakdown effect in terms of machine repair cost effect and production time loss cost effect to incorporate reliability modeling; production planning in terms of part inventory holding, part internal production cost, and part outsourcing; process batch size; transfer batch size for intracell travel; transfer batch size for intercell travel; lot splitting; alternative process plan, and routing and sequence of operation; multiple copies of identical copies; machine capacity, cutting tooling requirements, work load balancing, and machine in different cells constraint; machine in same cell constraint; and machine procurements and multiple period dynamic cell reconfiguration. Further, the objective of the proposed model is to minimize the sum of various costs such as intracell movement costs; intercell movement costs and machine procurement costs; setup cost; cutting tool consumption costs; machine operation costs; production planning-related costs such as internal part production cost, part holding costs, and subcontracting costs; system reconfiguration costs; and machine breakdown repair cost, production time loss cost due to machine breakdown, machine maintenance overheads, etc. ,in an integrated manner. Nonlinear terms of objective functions are transformed into linear terms to make mixed-integer linear programming model. The proposed model has been demonstrated with several problems, and results have been presented accordingly.     

基于可靠度确定长贮装备最优检测周期的模式模型

长贮装备贮存或检测后，其可靠性均有不同程度的下降。设装备的寿命服从于一般的分布，整个系统分为检测和不检测两类；参与检测系统的检测周期为T，且一旦检测出故障马上进行修理。修理以后已不再是开始的状态，而是相当于使用了一段时间Y，按修理后Y的分布函数求得两类子系统的平均维修费用并按贮存后可靠性的变化规律求得子系统的可靠度。最后以装备贮存可靠性为约束条件某一检测间隔期总费用最小为目标函数求得最优检测周期的优化模型。