机器视觉技术在评定DWTT试样断口中的应用
Application of Machine Vision Technology in Evaluating the Fracture Surface of DWTT Specimens
摘 要
结合管线钢DWTT试样断口剪切面积分数pSA指标的评定步骤与要求,介绍了机器视觉识别与图像测量分析技术的实践应用.其中有效净截面的确定,大画幅、大景深、高分辨率成像系统以及Gabor滤波器-聚类分析图像处理技术是机器视觉技术的关键.实际应用结果表明:采用机器视觉自动图像测量技术,可显著提高pSA指标的评测效率和结果的可重复性.
剪切面积分数
机器视觉技术
fracture surface of DWTT specimen
percent of shear area
machine vision technology
Abstract
Towards the standardized procedure and requirement for rating the percent of shear area,i.e.pSA of DWTT specimens from pipeline steels,the machine vision technology and its application in the measurement and analysis from fractorgraphy image were introduced.The definition of valid measuring area for rating pSA,imaging system with large field of vision,large focus depth and high resolution,and suitable image analyzing and treatment algorithm as Gabor filter-cluster analysis are crucially relevant to the high quality of machine vision for rating pSA.The practical application results show that rating of pSA index could be performed more efficiently and reproducibly with the help of automatic measurement on images by machine vision technology.
中图分类号 TG115.5
所属栏目 试验与研究
基金项目
收稿日期 2015/3/3
修改稿日期
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备注方健(1979-),男,高级工程师,博士研究生.
引用该论文: FANG Jian,LIU Guo-dong,ZHANG Jian-wei,XU Wei-cheng,ZHOU Li-fu. Application of Machine Vision Technology in Evaluating the Fracture Surface of DWTT Specimens[J]. Physical Testing and Chemical Analysis part A:Physical Testing, 2015, 51(4): 237～242
方健,刘国栋,张建伟,徐惟诚,周立富. 机器视觉技术在评定DWTT试样断口中的应用[J]. 理化检验－物理分册, 2015, 51(4): 237～242
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参考文献
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【2】TYSON W R.Fracture control for northern pipelines[C]//BOUKHAROUBA S.Damage and Fracture Mechanics:Failure Analysis of Engineering Materials and Structures.[S.l.]:Springer Science,2009:237-244.
【3】GB/T 8363-2007铁素体钢落锤撕裂试验方法[S].
【4】API RP5L3-1996Recommended practice for conducting drop-weight tear tests on line pipe[S].
【5】陈宏达,霍春勇,冯耀荣,等.管线钢落锤撕裂试验方法的建立、应用及发展[J].钢铁研究学报,2005,17(6):1-5.
【6】FANG J,ZHANG J W,WANG L.Evaluation of cracking behavior and critical CTOA values of pipeline steel from DWTT specimens[J].Engineering Fracture Mechanics,2014,124/125:18-29.
【7】王凡,曹峰梅,粟宇路.基于Gabor滤波的辐射状模糊图像质量评价方法[J].北京理工大学学报,2012,32(9):937-941,959.
【8】王翔,丁勇.基于Gabor滤波器的全参考图像质量评价方法[J].浙江大学学报,2013,47(3):422-430.
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