共查询到19条相似文献,搜索用时 280 毫秒
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以所开发的铝合金点焊在线监测系统为基础,构建了在线监测数据库.数据库通过与基于LabVIEW开发环境的在线监测系统相连接,实现了焊点质量特征参数及焊点原始特征信息的实时记录与保存.数据库为用户提供了焊点信息及人员信息的多种查询、管理功能,实现了点焊生产的信息化管理,非常适合航空航天产品的生产管理及该厂的实际情况.数据库信息为在线监测系统提供参数优化数据源,通过均值控制图法实现对在线监测系统焊点质量判定临界阈值的优化.结果表明,数据库的参数优化功能使铝合金点焊在线监测系统达到了较高的判定精度,并已在航空航天产品的点焊生产中得到应用. 相似文献
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基于信息融合技术的焊点质量评估 总被引:2,自引:0,他引:2
基于点焊焊接过程电极位移、动态电阻信号的同步采集和特征分析,从2种信号中提取若干特征参量,依据特征参量与焊点接头抗剪切力间的相关性分析结果,选取特征参量建立数据集,利用多元线性、非线性、支持向量机统计分析方法实现多信息融合,构建焊接过程监测参量与焊点强度之间的回归映射模型.进而实现对未知焊点样本强度的预测.交叉有效性检验结果表明以相关性显著的特征参量建立的多元线性回归、非线性回归、支持向量机回归预测模型,对于评估焊点质量是有效的,其中支持向量机回归预测有效性最为显著,可作为进一步研究和实现在线质量监测的方法. 相似文献
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设计了基于Zig Bee网络的电阻点焊无线监测系统,重点介绍系统的软、硬件构成、无线网络的拓扑结构以及系统的工作流程。无线监测系统主要由下位机监测模块、Zig Bee无线通信模块以及监测中心三部分构成,无线局域网采用网状拓扑结构。系统通过多参数监测焊接车间每台焊机的焊接过程,充分利用各参数所包含的质量信息,建立能够反映焊接质量的数学评估模型,实现了电阻点焊焊接质量的在线评估,并通过动态电阻特性曲线来表示评估结果。系统运行结果表明,Zig Bee无线网络抗干扰能力强,信号传输稳定,系统整体响应速度快,完全可以达到电阻点焊过程网络化实时监测的目的。 相似文献
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以焊点接头强度作为焊点质量评判的指标,通过对点焊过程焊接电流、动态电阻、电极位移信号的同步采集和特征分析,提取若干特征参量监测点焊过程,依据特征参量与焊点接头抗剪强度间的相关分析结果,选取来自不同监测信号的7个特征参量建立了表征点焊过程的特征模式,并将此转化为计算机可以识别的模式矩阵,同时以焊接电流参数为模式分类的依据,建立不同模式矩阵类别和焊点接头抗剪强度之间的映射,将模式矩阵作为Hopfield神经网络的记忆样本存储于网络,利用网络联想记忆的功能实现对未知样本点焊过程的模式识别,进而实现点焊质量的评判。网络测试结果表明,利用Hopfield网络进行焊点质量在线评判可以得到满意的效果。 相似文献
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A method was developed to realize quality evaluation on every weld-spot in resistance spot welding based on information processing of artificial intelligent. Firstly, the signals of welding current and welding voltage, as information source, were synchronously collected. Input power and dynamic resistance were selected as monitoring waveforms. Eight characteristic parameters relating to weld quality were extracted from the monitoring waveforms. Secondly, tensile-shear strength of the spot-welded joint was employed as evaluating target of weld quality. Through correlation analysis between every two parameters of characteristic vector, five characteristic parameters were reasonably selected to found a mapping model of weld quality estimation. At last, the model was realized by means of the algorithms of Radial Basic Function neural network and sample matrixes. The results showed validations by a satisfaction in evaluating weld quality of mild steel joint on-line in spot welding process. 相似文献
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以采集的电阻点焊接头表面的数字图像作为信息源,探索了一种新的点焊质量无损监测方法.首先,通过图像特征分析,焊点表面图像被划分为4个环形特征区域,提取环形特征区域面积作为表征焊点质量的特征参数.其次,根据特征区域面积与焊点抗剪强度的相关性分析结果,选择了相关性显著的3个特征参数作为输入向量,焊点抗剪强度作为输出向量,建立了点焊质量的RBF神经网络监测模型.仿真分析和验证结果表明,基于焊点表面图像特征信息处理监测点焊质量的方法是可行的. 相似文献
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根据高强钢板的物理特性,介绍高强钢板电阻点焊的难点,通过优化焊接参数,如增大焊接压力、延长焊接时间、减小焊接电流、增加焊前预热、减小修磨间隔点等可以有效消除高强钢点焊过程中的焊点毛刺、焊点裂纹和熔核缩孔等缺陷。简述博世UIR系统的动态电阻检测原理、恒功率补偿原理和焊点质量监控原理。采用UIR系统采集并建立焊点的标准动态电阻曲线,根据标准动态曲线对点焊过程进行能量补偿,有效弥补高强钢点焊常见的飞溅导致的能量损失,提高焊点质量。通过UIR系统监控功能有效保障焊点质量和点焊过程的稳定性,满足高强钢实际生产需要,并延长电极使用寿命。 相似文献
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Effects of modeling means on properties of monitoring models of spot welding quality 总被引:1,自引:0,他引:1
Analyzing and modeling the relation between monitoring information during welding and quality information of the joints is the foundation of monitoring resistance spot welding quality. According to the means of modeling, the known models can be divided into three large categories: single linear regression models, multiple linear regression models and multiple non-linear models. By modeling the relations between dynamic resistance information and welding quality parameters with different means, this paper analyzes effects of modeling means on performances of monitoring models of resistance spot welding quality. From the test results, the following conclusions can be drawn: By comparison with two other kinds of models, artificial neural network (ANN) model can describe non-linear and high coupling relationship between monitoring information and quality information more reasonably, improve performance of monitoring model remarkably, and make the estimated values of welding quality parameters more accurate and reliable. 相似文献