学位：博士
职称：教授
所在单位：材料科学与工程学院
长期从事金属材料蠕变、组织演化、损伤及寿命预测工作。主持和参加国家自然科学基金重点和面上项目6项，“863”计划课题2项，省部级及企业项目20余项。获国家发明专利5项，发表学术论文200余篇。出版专著“耐热钢持久性能的统计分析及可靠性预测”1部（科学出版社），译著“高温合金”1部，编著1部。获辽宁省教学名师，宝钢教育奖优秀教师奖。辽宁省教学成果一等奖1项，国家本科一流课程、国家精品在线开放课程负责人。Emerald出版社颁发的学术奖“Literati Club Awards for Excellence”，金属学报2009-2015年度优秀论文奖。省部级科技奖励一等奖、二等奖5项。
Highly Sensitive Image Recognition on Iron Contamination for 316L Austenitic Stainless Steel by Regent Additives into Color-Change Indicator
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论文类型：期刊论文
发表时间：2020-02-07
发表刊物：JOURNAL OF NONDESTRUCTIVE EVALUATION
收录刊物：EI、SCIE
卷号：39
期号：1
ISSN号：0195-9298
关键字：Stainless steel; Iron contamination; Color-change indicator; Corrosion
摘要：Inspection on surface iron contaminants of stainless steel is a critical process during the manufacturing of nuclear power facilities. Highly sensitivity of image recognition on iron contamination was achieved for 316L stainless steel by adding cellulose ether and silicone polyether into phenanthroline color-change indicator. Those indicators were also compared to the RCC-M (Design and Construction Rules for the Mechanical Components of PWR Nuclear Islands) recommended blue-dot solution. The indicator sensitivity and stability of phenanthroline solutions are superior to the blue-dot solution on the bases of the measured color-change degree. The sensitivity and the image recognition ratio are improved by the additives from the view point of the reconstructed 3D image of red pixel. Based on a hypothesis of iron ion-controlled process during coloration reaction, a linear relationship with a constant slope between redness degree a* and iron concentration in double logarithm coordinates was evidenced in all the phenanthroline indicators. From potentiodynamic polarization curves, the breakdown potential and corrosion potential decreased with increasing the redness degree.
发表时间：2020-02-07
