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基于概率密度分布图的双丝脉冲焊稳定性定量评价

姚屏, 薛家祥, 朱强, 杨永

姚屏, 薛家祥, 朱强, 杨永. 基于概率密度分布图的双丝脉冲焊稳定性定量评价[J]. 焊接学报, 2014, 35(7): 51-54.
引用本文: 姚屏, 薛家祥, 朱强, 杨永. 基于概率密度分布图的双丝脉冲焊稳定性定量评价[J]. 焊接学报, 2014, 35(7): 51-54.
YAO Ping, XUE Jiaxiang, ZHU Qiang, YANG Yong. Quantitative evaluation of double wire pulsed welding stability based on probability density distribution[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2014, 35(7): 51-54.
Citation: YAO Ping, XUE Jiaxiang, ZHU Qiang, YANG Yong. Quantitative evaluation of double wire pulsed welding stability based on probability density distribution[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2014, 35(7): 51-54.

基于概率密度分布图的双丝脉冲焊稳定性定量评价

基金项目: 国家自然科学基金资助项目(50875088);广东省高等学校优秀青年教师培养计划资助项目(Yq2013106);黄埔区科技攻关资助项目(201341);佛山市科技计划资助项目(2011AA100175)

Quantitative evaluation of double wire pulsed welding stability based on probability density distribution

  • 摘要: 为减少双丝脉冲焊焊接过程稳定性评价的主观性,提出一种基于概率密度分布图的定量评价方法.在分析电流参数对概率密度分布影响的基础上,设计了峰值概率密度比KDT、峰值概率和KS、区间概率KP三个分项指标,从而获得最终量化指标单路评价指标Cpdf,双丝评价指标TCpdf.为验证方法的有效性,选择电参数和稳定性均不同的电流信号进行了试验.结果表明,设计的量化指标准确反映了不同双丝焊信号的稳定程度,焊接过程稳定性的定量评价得以实现.为工艺分析、智能控制参数优化提供决策参考.
    Abstract: In order to reduce the subjectivity in evaluating the double wire pulsed welding process stability, a quantitative evaluation method was proposedbased on the probability density distribution. Firstly, the effect of current parameters on the probability density distribution was analyzed. Secondly, three sub-indicators of KDT (the ratio between the peak probability density), KS (the sum of the peak probabilities) and KP (the interval probability) were designed, and the final quantitative indicators of Cpdf and TCpdf were extracted. Finally, an experiment was designed to test the validity of the method. The result shows that the quantitative indicators accurately reflect the degree of stability for different double wire welding signals. Quantitative evaluation of the welding process stability can be achieved. The research provides a decision-making for parameter optimization of process analysis and intelligent control.
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  • 收稿日期:  2013-12-31

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