基于数字图像相关方法的不锈钢内部缺陷检测研究
PDF下载 (241)尹凌霄,吴 丹.基于数字图像相关方法的不锈钢内部缺陷检测研究[J].宁波大学学报(理工版),2023,36(3):64-71.DOI:
YIN Lingxiao,WU Dan.Stainless steel internal crack detection based on digital image correlation method[J].Journal of Ningbo University(Natural Science & Engineering Edition),2023,36(3):64-71.DOI:
| Title: | Stainless steel internal crack detection based on digital image correlation method |
| 作者: | 尹凌霄, 吴 丹 |
| Author(s): | YIN Lingxiao, WU Dan |
| 关键词: | 数字图像相关方法; 亚表面缺陷; 金属裂纹; 无损检测 |
| Keywords: | digital image correlation methods; subsurface defects; metal cracks; non-destructive testing |
| 分类号: | TP391.4 |
| 文献标识码: | A |
| 摘要: | 不锈钢材料内部缺陷检测是无损检测领域的研究热点和难点之一, 尤其对微小和闭合裂纹的检测. 本文提出了一种基于数字图像相关方法的应变集中缺陷识别方法, 即对试样表面采用曝光灯进行辐射加热, 利用数字图像相关方法定量分析试样表面应变场, 通过试样表面高应变区域的表征, 实现对金属内部裂纹的检测. 结果表明, 该方法可以在试样加热过程中表征不锈钢内部裂纹, 其有效检测深度可达3.71mm. |
| Abstract: | The detection of internal defects in stainless steel is regarded as a hot and difficult topic in the field of nondestructive testing, especially for the micro and closed cracks detection. Therefore, this paper proposes a strain concentration defect identification method based on the digital image correlation method, that is, the sample surface is heated by a radiation exposure lamp, and the strain field on the sample surface is quantitatively analyzed by the digital image correlation method, and the internal cracks of the metal are detected by the characterization of the high-strain region on the sample surface. The results show that this method can characterize the internal crack of stainless steel during heating, and the effective detection depth can reach 3.71 mm. |
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| 备注/Memo: | 收稿日期:2022-06-08.宁波大学学报（理工版）网址:http://journallg.nbu.edu.cn/ 基金项目:国家自然科学基金（11702151）. 第一作者:尹凌霄（1997－）,男,浙江丽水人,在读硕士研究生,主要研究方向:实验固体力学.E-mail:739068288@qq.com *通信作者:吴丹（1987－）,女,河南信阳人,讲师,主要研究方向:实验固体力学.E-mail:wudan@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
