摘要
针对表面粗糙的金属铸件自动识别打磨问题,本文采用基恩士的LJ-V7300线激光无标记扫描器,采集工件特定区域的轮廓表面图像数据,分析了图像数据中无效数据的产生原因,建立了剔除无效数据和增强被打磨区边界识别能力的算法,并对已去除无效数据的区域选择,建立了重构该区域三维几何轮廓面算法,并在Matlab平台下构建了工件真实有效的打磨区域,为线激光扫描测量和重构轮廓表面提供了一种应用方法。该研究对工业机器人铸件的自动打磨与分析应用具有重要意义。
Automatic identification of grinding problems for metal castings with rough surfaces, in this paper, Kean′s LJ-V7300 sheet laser scanner is used to collect the surface image data of the specific contour area of the workpieces. This paper gave anexplanationto the cause containing failed data in the data set from scanner, and then builtthe algorithms to transferfailed data to usable ones and to enhance the ability distinguishing the boundary of the specific contour area. Finally, the image data was chosen with the box-selection method, and reconstructed them into geometric contour surface with the relevant Matlab functions, and a real and effective grinding area was built on the Matlab platform. The result of this paper presents a basic method of measuring and rebuilding a surface. The experimental project in this paper is mainly used for automatic grinding analysis and application research of castings based on industrial robots, which is of great significance.
作者
曹吉文
唐遵乐
王钰
CAO Jiwen;TANG Zunle;WANG Yu(School of Electromechanic Engineering,Qingdao University,Qingdao 266071,China)
出处
《青岛大学学报（工程技术版）》
CAS
2018年第4期27-31,共5页
Journal of Qingdao University(Engineering & Technology Edition)
基金
山东省科技发展计划项目资助(40214010075)
