提高电阻点焊镀锌钢板电极寿命的方法及展望

简要介绍了电阻点焊电极的失效机理和提高电极寿命的一些方法及发展方向。     

用WO3＋C纳米粉末制备新型堆焊焊条

以纳米级的(WO3+C)混合粉末制备新型堆焊焊条,该纳米粉末在药皮配方中最多可加24.5％对该焊条进行了工艺性试验,并对堆焊层的组织、化学成分及硬度等进行了检验及分析。试验结果表明:该焊条焊接工艺性良好,熔敷效率高;堆焊层组织细小,主要为富W碳化物(Fe6W6C)、奥氏体加少量马氏体,560℃×4h回火后,组织为针状马氏体、少量残余奥氏体和碳化物Fe6W6C.焊后堆焊层硬度在HRC50以上,回火后堆焊层硬度大幅度提高,最高可达HRC64.5.和微分级粉末相比,纳米粉末制备的焊条,基体中的含W量高,组织细小,回火后硬度高,适于耐磨堆焊.     

锂离子电池安全性设计

锂离子电池的安全性问题是其固有特性,正负极材料、电解液及其添加剂、电池的结构以及制备工艺条件都对锂离子电池的安全性有重要的影响。合理的电极、电池结构、电池使用、成组技术安全性设计可提高锂离子电池使用安全性。     

一种新型电接点液位检测仪

本文介绍的一种新型电接点液位检测仪,由电源电路、脉冲电路、通道选择电路、信号检测电路、单片机电路、输出电路和显示控制电路构成。采用时分复用技术,低电压脉冲测量,正负对称脉冲去极化方法,减少电接点电极通电电解极化腐蚀,提高测量电极的使用寿命,可实现对多路电接点电极的检测,并适用于不同介质的液体液位测量。     

点焊镀锌钢板时球形电极表面熔敷TiC涂层对电极失效的分析

利用SEM、EDX和XRD等方法分析了在点焊镀锌钢板时球形电极表面熔敷TiC涂层对电极失效的影响。结果表明:点焊镀锌钢板时,球形电极的失效机制,主要是电极和镀锌板之间局部焊接的断裂发生在电极表面而导致的电极磨损,以及电极和镀锌板表面的锌之间的合金化。表面涂敷TiC的CuCrZr电极的寿命(1200点)是CuCrZr电极寿命(500点)的2.4倍,表面处理能提高电极寿命的主要原因是,在点焊镀锌钢板时表面涂敷的TiC层能阻碍电极和镀锌板之间的局部焊接和阻碍电极和镀锌板表面的锌之间的合金化。     

自制胃液分析仪在五肽胃泌素胃液分析中的应用

采用自制ＷＹＩ－１液分析仪进行五肽胃泌素胃液分析，并和滴定法进行对照，以观察自制胃液分析仪的可靠性及实用价值，１００份胃液标本的测定结果表明，２种测定方法结果相同。胃液分析仪测定结果为（３．９±１．９２）ｍｍｏｌ／１５ｍｉｎ，滴定法测定结果为（３．９８±１．９９）ｍｍｏｌ／１５ｍｉｎ。Ｐ＞０．０５。基础胃酸、高峰胃酸、最大胃酸２种测定方法结果相同。胃液分析仪操作简单，结果同样准确，工作效率明显提高。可取代酸减滴定法进行胃液分析。     

两种钛基涂层电极电催化氧化酸性品红研究

采用热氧化法制备了Ti／SnO2和Ti／SnO2-Sb2O3电极,以酸性品红为研究对象,对比了两种电极材料的电催化效果。结果表明：相对于Ti／SnO2阳极,Ti／SnO2-Sb2O3阳极对酸性品红有着更好的去除效率和降解速率。两种电极的电催化氧化过程均符合一级动力学模型。酸性品红在Ti／SnO2—Sb2O3阳极上电催化氧化降解过程的紫外-可见光谱图表明在电流密度75mA·cm^-2,电解质N恕SO4浓度12g-L^-1的条件下,处理100mg·L^-1的酸性品红模拟废水,60min内其在λmax=545nm的特征吸收峰消失,酸性品红基本去除,但同时生成了部分小分子中间产物。     

Electrode wear prediction in milling electrical discharge machining based on radial basis function neural network

Milling electrical discharge machining (EDM) enables the machining of complex cavities using cylindrical or tubular electrodes. To ensure acceptable machining accuracy the process requires some methods of compensating for electrode wear. Due to the complexity and random nature of the process, existing methods of compensating for such wear usually involve off-line prediction. This paper discusses an innovative model of electrode wear prediction for milling EDM based upon a radial basis function (RBF) network. Data gained from an orthogonal experiment were used to provide training samples for the RBF network. The model established was used to forecast the electrode wear, making it possible to calculate the real-time tool wear in the milling EDM process and, to lay the foundations for dynamic compensation of the electrode wear on-line. This paper demonstrates that by using this model prediction errors can be controlled within 8%.     

Self-organizing map based quality assessment for resistance spot welding with featured electrode displacement signals

To classify the quality of the resistance spot welding process, a relationship between the welder electrode displacement curve characteristics and the weld shear force has been explored. Eleven statistical features of the displacement signals are extracted to represent the welding quality. Self-organizing map (SOM) neural networks have been employed to discover their quantitative relationship. In order to identify the influence of various displacement curve features, all of the available combinations have been used as inputs for SOM neural networks. Further we analyze the impact of each feature on the classification results, yielding the best quality-indicative combination of characteristics. There is no determinant relationship between the welding quality and the level of expulsion rate. The quality of welding is most impacted by the maximum electrode displacement, the span of welding process and the centroid of the electrode displacement curve. The experiments show that SOM is feasible to assess the welding quality and can render the visualized intuitive evaluation results.     

锂离子电池负极纳米SnO2/C复合材料的制备与性能

采用一种简单低成本的方法,以蔗糖作为碳源,在氮气气氛下以不同温度焙烧合成纳米SnO2/C复合材料.并对所得样品进行XRD,TEM表征及电化学性能测试.XRD结果表明复合材料中碳是无定形的.透射电镜(TEM)结果显示SnO2平均粒径为10 nm左右,并被碳均匀包裹.纳米SnO2/C复合材料作为锂离子电池负极材料呈现高的库伦效率和较好的循环稳定性.