摘要
为表征WC-Co硬质合金微观结构的"随机性",使用Matlab和VC++汇合编程对材料显微组织的扫描电镜(SEM)图片进行了图像处理,提取出微观结构的轮廓,计算了微观结构的拓扑参数并统计其分布规律。结果表明:开发的图像处理软件能够准确地测量WC-Co硬质合金微观结构的平均粒径、形心位置、取向角、长径、短径和Co体积分数等参数;并使用概率密度分布函数实现了材料微观结构的"随机性"表征。
In order to characterize the randomness of microstructure of WC-Co cemented carbides,Matlab and VC＋＋ were hybrid programmed to analyze the scanning electron microscopy（SEM） images of the microstructure,and the outline of the microstructure was extracted.Then the microstructural topology parameters were calculated,and the distribution regularity of the microstructural parameters was statistically investigated.The results show that,the average grain diameter,major axes and minor axes,centroid,orientation angle,and Co volume fraction of WC-Co cemented carbides can be accurately measured by using the image processing software.Moreover,the randomness characterization of the microstructure of WC-Co cemented carbides can be well accomplished by using probability density function.
出处
《材料工程》
EI
CAS
CSCD
北大核心
2012年第11期27-30,76,共5页
Journal of Materials Engineering
基金
国家重点基础研究发展计划资助项目(2009CB724402)
国家自然科学基金资助项目(51175310)
山东大学优秀研究生科研创新基金资助项目(yyx10012)
关键词
WC-CO硬质合金
微观结构
随机性
表征
图像处理
WC-Co cemented carbide
microstructure
randomness
characterization
images analysis
