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作 者:杨淑贞[1] 王明[2] YANG Shuzhen;WANG Ming(Department of Computer and Information Technology,Zhejiang Changzheng Professional&Technical College,Hangzhou 310023,China;College of Computer Science and Artificial Intelligence,Wenzhou University,Wenzhou 325035,China)
机构地区:[1]浙江长征职业技术学院计算机与信息技术系,浙江杭州310023 [2]温州大学计算机与人工智能学院,浙江温州325035
出 处:《兵器材料科学与工程》2021年第5期92-96,共5页Ordnance Material Science and Engineering
基 金:浙江省高等教育研究课题(KT2020295)。
摘 要:为提高TiC颗粒增强钨基复合材料烧蚀形貌重构精度和抗烧蚀性能,提出基于数字图像处理的TiC颗粒增强钨基复合材料烧蚀形貌重构方法。用氧乙炔烧蚀装置进行烧蚀试验,利用三目立体视觉系统采集烧蚀图像,通过阈值分割法,将图像转换为二维图像数据。用微分算子法提取二维图像轮廓,用NURBS曲线延拓、拟合二维图像轮廓曲线,通过匹配点的空间坐标曲线拟合图像轮廓特征数据,实现TiC颗粒增强钨基复合材料烧蚀形貌重构。结果表明:该方法对TiC颗粒增强钨基复合材料烧蚀形貌数据重构精度较高,重构目标点与原始数据点误差较小,对提高TiC颗粒增强钨基复合材料抗烧蚀性能有一定指导。In order to improve the accuracy and anti ablation performance of Ti C particle reinforced tungsten matrix composites,adigital image processing based ablation morphology reconstruction method of Ti C particle reinforced tungsten matrix compositeswas proposed. The ablation experiment was carried out with oxyacetylene ablation device. The image of ablation morphology wascollected by three eyes stereo vision system. The image was converted into two-dimensional image data by threshold segmentationmethod. The two-dimensional image contour was extracted by differential operator method. The NURBS curve was used to extendand fit the two-dimensional image contour curve. The feature data of the image contour was fitted by the spatial coordinate curveof the matching points. The ablation morphology reconstruction of Ti C particle reinforced tungsten matrix composites wasrealized. The results show that the ablation morphology data reconstruction accuracy of Ti C particle reinforced tungsten matrixcomposites is high,and the error between reconstruction target point and original data point is small,which has certain guidancefor improving the ablation resistance of Ti C particle reinforced tungsten matrix composites.
关 键 词:数字图像处理 TIC颗粒 增强钨基 复合材料烧蚀 形貌重构
分 类 号:TG115[金属学及工艺—物理冶金]
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