Grain Size Assessment of Thin-Walled 304L Steel Welded Tube by Ultrasonic Attenuation Method based on Continuous Wavelet Transform
摘 要
基于试验统计经不同温度(800~1 350℃)固溶处理后薄壁304L奥氏体不锈钢焊管母材与焊缝的晶粒尺寸,利用基于连续小波变换的超声衰减法对母材和焊缝超声信号进行三层小波分解后提取特征能量,研究超声衰减法评估焊管晶粒尺寸的可行性。结果表明:随着固溶温度的升高,母材晶粒尺寸与对应的特征能量均呈减小趋势,实际检测中可设置超声信号的相对特征能量阈值在600~1 000之间,此时晶粒度在7~8.5之间,晶粒尺寸合格;随着固溶温度的升高,焊缝的晶粒尺寸增大,特征能量先升高后降低再升高,并在1 050℃附近达到最大值,实际检测中可设置超声信号的相对特征能量阈值在140~180之间,此时晶粒度为8.5~9,晶粒尺寸合格。超声衰减法可实现薄壁304L奥氏体不锈钢焊管晶粒尺寸的快速无损评估。
Abstract
Grain size of base metal and weld of thin-walled 304L austenitic stainless steel welded tube after solid solution treatment at different temperatures (800-1 350℃) were counted by tests. The ultrasonic signals of base metal and weld were triple wavelet decomposed by ultrasonic attenuation method based on continuous wavelet transform to extract the characteristic energy. The feasibility of ultrasonic attenuation method to evaluate grain size of welded tube was studied. The results show that with increasing solid solution temperature, the base metal grain size and the corresponding ultrasonic characteristic energy decreased; in the actual detection, the relative characteristic energy threshold of ultrasonic signals could be set between 600 and 1 000; in this case, the grain size was between 7 and 8.5, and the grain size was qualified. With increasing solid solution temperature, the grain size of weld increased, and characteristic energy first increased and then decreased and then increased, and reached the maximum at about 1 050℃; in the actual detection, the relative characteristic energy threshold of ultrasonic signals could be set between 140 and 180; in this case, the grain size was 8.5-9, and the grain size was qualified. Ultrasonic attenuation method could be used to quickly and nondestructively evaluate the grain size of thin-walled 304L austenitic stainless steel welded tube.
中图分类号 TG142.1 DOI 10.11973/jxgccl202208008
所属栏目 试验研究
基金项目 上海市科委重点支撑计划项目(19090503400)
收稿日期 2021/1/18
修改稿日期 2022/5/19
网络出版日期
作者单位点击查看
备注侯怀书(1972-),男,山东潍坊人,教授,博士
引用该论文: HOU Huaishu,LI Jinhao,LU Ding,XIA Shuaijun,XIN Jianlong. Grain Size Assessment of Thin-Walled 304L Steel Welded Tube by Ultrasonic Attenuation Method based on Continuous Wavelet Transform[J]. Materials for mechancial engineering, 2022, 46(8): 46~52
侯怀书,李金好,陆顶,夏帅军,辛健龙. 基于连续小波变换的超声衰减法评估薄壁304L钢焊管晶粒尺寸[J]. 机械工程材料, 2022, 46(8): 46~52
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【3】兰亮云,邱春林,赵德文,等.一种低焊接裂纹敏感性钢的奥氏体粗化温度研究[J].东北大学学报(自然科学版),2010,31(6):808-811.LAN L Y,QIU C L,ZHAO D W,et al.Study on austenite grain coarsening temperature of a steel with low sensitivity to weld crack[J].Journal of Northeastern University (Natural Science),2010,31(6):808-811.
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【5】MAEHARA Y,YASUMOTO K,SUGITANI Y,et al.Effect of carbon on hot ductility of as-cast low alloy steels[J].Transactions of the Iron and Steel Institute of Japan,1985,25(10):1045-1052.
【6】ALVAREZ DE TOLEDO G,ARTEAGA A,LARAUDOGOITIA J J.Continuous casting of microalloyed steels:Influence of composition and operational parameters in billet surface cracking[J].Materials Science Forum,2005,500/501:163-170.
【7】李朋欢,包燕平,岳峰,等.异常粗大的奥氏体晶粒对表面晶间裂纹的影响[J].北京科技大学学报,2009,31(增刊1):177-181.LI P H,BAO Y P,YUE F,et al.Effect of abnormally large prior-austenite grains on the presence of surface intergranular cracks[J].Journal of University of Science and Technology Beijing,2009,31(S1):177-181.
【8】侯怀书,张世玮,陆顶,等.304不锈钢晶粒尺寸的超声检测[J].机械工程材料,2019,43(12):19-23.HOU H S,ZHANG S W,LU D,et al.Ultrasonic testing on grain size of 304 stainless steel[J].Materials for Mechanical Engineering,2019,43(12):19-23.
【9】张路根,吴伟,欧阳小琴.304不锈钢晶粒散射特性的超声检测分析[J].无损检测,2010,32(2):99-102.ZHANG L G,WU W,OUYANG X Q.Ultrasonic testing analysis of 304 stainless steel crystal grain diffusion properties[J].Nondestructive Testing Technologying,2010,32(2):99-102.
【10】雷洋,龚海.超声无损评价2219铝合金晶粒尺寸[J].热加工工艺,2019,48(19):65-69.LEI Y,GONG H.Ultrasonic nondestructive evaluation of grain size of 2219 aluminum alloy[J].Hot Working Technology,2019,48(19):65-69.
【11】PALANICHAMY P,JOSEPH A,JAYAKUMAR T,et al.Ultrasonic velocity measurements for estimation of grain size in austenitic stainless steel[J].NDT&E International,1995,28(3):179-185.
【12】陈仲英,巫斌.小波分析[M].北京:科学出版社,2007.CHEN Z Y,WU B.Wavelet analysis[M].Beijing:Science Press,2007.
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