浅谈汽车机械故障原因及防范措施

伴随现代信息科技水平的不断发展,人们开始追求高质量的物质生活水平,交通运输方式也变得更为多样化,汽车作为快捷的交通方式开始普及发展,然而,伴随汽车销售市场的不断扩大,汽车的使用问题也逐渐暴露出来。因此,本文针对汽车经常发生的机械故障问题进行分析,同时提出有效的防范措施,保障汽车可以适当延长使用期限。     

硬煤工作面煤壁破坏与防治机理

高强度、大采高开采条件下,硬煤煤壁破坏的频率及程度逐渐严重,为提高该类工作面煤壁稳定性,实现安全、高效开采,采用室内试验、理论分析及现场实测综合手段对硬煤煤壁破坏形式、发生机理及影响因素进行分析。软煤、硬煤在单轴压缩条件下分别表现为静态、动力破坏,泊松比不同是煤体出现不同破坏形态的内在原因,三轴抗压试验表明围压可有效改变硬煤破坏的静-动转化;将煤壁、顶板及支架组成的平衡系统抽象出2种边界条件,根据煤体弹模、泊松比及边界条件的不同提出压剪、拉剪及拉裂3种煤壁破坏形式,硬煤多发生后2种破坏形式;推导出拉剪、拉裂型破坏的发生判据,得到拉剪型破坏起裂角、拉裂型破坏深度的确定方法及影响因素;拉剪型破坏对各影响因素的敏感度依次为黏聚力、顶板压力、支架阻力、抗拉强度,采高、护帮板压力及护帮高度对煤壁稳定性的影响不明显,拉裂型破坏对各影响因素的敏感度依次为抗拉强度、采高、顶板压力、支架阻力和控顶距等。     

Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation

Adhesively bonded joints have been extensively employed in the aeronautical and automotive industries to join thin-layer materials for developing lightweight components. To strengthen the structural integrity of joints, it is critical to estimate and improve joint failure loads effectually. To accomplish the aforementioned purpose, this paper presents a novel deep neural network (DNN) model-enabled approach, and a single lap joint (SLJ) design is used to support research development and validation. The approach is innovative in the following aspects: (i) the DNN model is reinforced with a transfer learning (TL) mechanism to realise an adaptive prediction on a new SLJ design, and the requirement to re-create new training samples and re-train the DNN model from scratch for the design can be alleviated; (ii) a fruit fly optimisation (FFO) algorithm featured with the parallel computing capability is incorporated into the approach to efficiently optimise joint parameters based on joint failure load predictions. Case studies were developed to validate the effectiveness of the approach. Experimental results demonstrate that, with this approach, the number of datasets and the computational time required to re-train the DNN model for a new SLJ design were significantly reduced by 92.00% and 99.57% respectively, and the joint failure load was substantially increased by 9.96%.     

热轧层流辊道内冷辊回水结构的优化改进

针对某热轧厂1 580 mm生产线精轧出口层流辊道内冷辊频繁发生操作侧轴承失效问题,对其原因进行了分析,同时核算了内冷辊受热轴向膨胀后操作侧轴承侧向间隙。结果表明:操作侧轴承侧向间隙满足使用要求,轴承失效和辊筒受热膨胀无关;操作侧轴承失效的直接原因是轴套制造精度低导致骨架油封失效、内冷辊高速旋转“吸水”效应,使冷却回水进入轴承座内部,进一步造成润滑不良进而造成轴承失效。为此,对内冷辊回水结构进行了优化改进:在操作侧轴承座端盖和水套之间增加法兰,延长轴套及安装轴套的轴头,在轴头和轴套之间增加O型密封圈。改进后两年的使用周期内没有发生过轴承失效故障。     

Influence of geosynthetic reinforcement on the stability of an embankment with rigid columns embedded in an inclined underlying stratum

Incompressible dipping substrata are commonly encountered in engineering practice. Compared to horizontal underlying strata, the inclined underlying stratum increase the risk of collapse of embankments reinforced with columns because it weakens the restraint of the column base. The objective of this study is to investigate the effectiveness of geosynthetics on improving the embankment stability when the underlying stratum is inclined. The influence of geosynthetic tensile stiffness on the ultimate surcharge and failure mechanism is studied. A deep-seated failure with column tilting occurs when the geosynthetic tensile stiffness is low, whereas a lateral sliding occurs when the geosynthetic tensile stiffness is high. To illustrate the contribution of geosynthetics, the distribution of the lateral pressures acting on the columns is analyzed.     

提升机启动操作中制动油泵软性停转的分析与排除

同一个多功能集控器件长期使用后，其不同故障程度对应有不同故障现象，为了加快现场技术管理人员对提升机疑难故障的有效排除进度，着重分析了制动油泵停转的控制通道，根据提升机启动操作中制动油泵停转后的排查处理结果，圈定了故障范围为变频控制器件。制动油泵在提升机启动操作中停转的不确定性，查找故障时整机电控系统处于非故障状态，接近更换变频主控板D6时启动提升机操作中制动油泵软性停转次数有所增多、启动中无发生制动油泵停转的全程提升未见异常，上述因素使制动油泵软性停转成为疑难杂症。故障现象恶化为每次操作至制动手把推向松闸位置制动油泵均停转，用梯形图确定D6故障是症结所在。对D6的自身故障精确定位功能且在变频控制柜人机界面RJ2显示故障信息认识不足，导致故障长时存在。此副井提升机有关人员应做到:对故障反映到位、深刻了解器件性能特征、透析有关动作过程后方可采取针对性措施、确定故障元件、最终排除故障。可恢复性的轻故障发生后必须采取相应措施，避免故障扩大导致停机延误提升。将变频就绪与故障的实时信息显示于司控台面，弥补了技改缺陷。     

采场围岩变形与破坏监测技术研究进展及展望

深部煤炭资源开发面临更多复杂、多变、高难的开采地质问题,采场围岩形态结构是矿井安全生产的重要评价指标之一,开展采场围岩变形与破坏测是判别矿井隐蔽致灾地质问题的重要技术保障。在煤炭工业快速发展的近20余年时间里,围岩体形变监测技术取得了长足的进步,基于矿山采场围岩体变形与破坏的影响因素,按照监测形式对监测技术进行了划分,归纳了当前用于矿山采场围岩变形与破坏监测的钻孔测试技术、地球物理探测技术、光纤监测技术及其他测量技术及其特点,结合煤层顶底板、巷道两帮空间监测的工程应用实例,介绍了不同监测技术的主要进展、优缺点以及适用性,讨论了探测技术的革新趋势和未来矿井安全生产中采场围岩变形与破坏监测技术的发展方向。同时,也认识到现有监测技术虽然已取得显著的监测效果,但是仍不能够满足矿井现代化、智能化生产需要。对于监测技术的进步而言,既需要技术装备的不断优化,更是要跨学科、跨专业科学技术理论的完善与更新。在当前地学大数据、云计算、人工智能新一轮科技创新基础上,今后采场围岩变形与破坏的监测技术必然向多元化、多参数、智慧化、全程监控的方向发展,监测方式也将不断地向可视化、动态化的监测预警模式过渡,融合监测技术发挥多参数的作用将越来越重要。     

500 kV输电线路耐张线夹钢锚断裂分析

采用宏观检查、化学成分分析、力学性能测试、显微组织观察等方法分析了某500 kV线路耐张线夹钢锚断裂的原因。结果表明, 钢锚断裂的原因主要是压接工艺控制不当, 在第一模部位产生了应力集中;钢锚压接后加工硬化效应明显, 相较压接前钢锚硬度提高了72%, 达到了210HB, 室温冲击韧性降低了58%, 为31 J, 致使钢锚抵御冲击载荷能力降低, 最终在应力集中部位断裂。     

Three-dimensional upper bound limit analysis of underground cavities using nonlinear Baker failure criterion

A generalized nonlinear Baker failure criterion is employed with the upper bound limit analysis to study the surrounding rock stability of underground cavities. A three-dimensional (3D) failure mode is established by extending the two-dimensional (2D) failure mode, which offers an upper bound expression of the surrounding rock pressure. This method is validated with a series of examples before the influence of four parameters of scale parameter, curvature parameter, shift parameter and lateral pressure coefficient, on the surrounding rock pressure is analyzed. According to these results, failure ranges of the underground cavities are determined. The following conclusions are reached: (1) the proposed approach is more accurate to predict surrounding rock pressure than the Mohr−Coulomb failure criterion; (2) the surrounding rock with large scale parameter, curvature parameter, shift parameter, and lateral pressure coefficient can lead to a more stable underground cavity; (3) the failure range in 3D mode can be predicted according to the upper bound solutions.