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基于形态学的焊锡粉颗粒定量分析 |
路林1,2, 孙佳1, 王红梅1, 汪立强3
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1.沈阳工业大学化工装备学院, 辽阳 111003;2.哈尔滨工业大学先进焊接与连接国家重点实验室, 哈尔滨 150001;3.University of Dayton Department of Chemical and Materials Engineering, Dayton 45469, USA
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摘要: |
采用形态学的方法对超声雾化法生产的焊锡粉颗粒形态进行描述与统计分析.由于焊锡粉颗粒棱角度高、形状不规则,是影响配制焊膏质量的关键因素.建立焊锡粉颗粒的分形维度与长宽比来作为两个重要的焊锡粉颗粒形态特征参数.通过对焊粉颗粒的几何投影图像进行计算,连续运用形态学中的腐蚀和膨胀两种方法刻画焊粉颗粒轮廓,并对颗粒数目和半径等形态信息统计计算,建立分形维度的拟合方程.结果表明,文中所提出的形态学方法适用于分割粘连焊粉颗粒图像,并且对于焊锡粉颗粒的长宽比与分形维度统计能够准确地反映焊锡粉颗粒真实形态. |
关键词: 无铅焊锡粉颗粒 分形维度 图像处理 腐蚀变换 膨胀变换 |
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基金项目:现代焊接生产技术国家重点实验室开放课题研究基金资助项目(AWPT-M02) |
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Quantitative analysis of solder powder particle based on morphology |
LU Lin1,2, SUN Jia1, WANG Hongmei1, WANG Liqiang3
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1.School of Chemical Equipment, Shenyang University of Technology, Shenyang 111003, China;2.State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China;3.University of Dayton, Dayton 45469, America
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Abstract: |
Description and statistical analysis to solder powder particle shape, which is made by ultrasonic atomization, have performed by using morphological methods since high angularity of solder powder particle and less regular shape which are key factors affecting the quality of solder paste preparation. Two important characteristics of solder powder particle shape, solder powder particle fractal dimension and aspect ratio, have been established. Firstly, the geometric projection image of solder powder particle was calculated, and then corrosion and expansion methods of morphology to characterize solder powder particle profiles were done. Moreover, the pattern information on the particle number and radius were statistically calculated. Finally fitting equation with fractal dimension was built. The experimental results showed that the morphological methods submitted by this article can be applied to segmentation adhesion welding particle image. In addition, the aspect ratio and fractal dimension of solder powder particle accurately reflect the solder powder particle real shape. |
Key words: lead-free solder powder particles fractal dimension image processing corrosion transformation dilatation transformation |