Abstract：During the routine production of carbon steel and middle-low alloy steel, more than 10 elements should be detected. The content range of elements in steels with different grades usually has great difference. Big steel companies mainly adopt spark discharge atomic emission spectrometry for the online detection of carbon steel and middle-low alloy steel. The testing equipment is corrected artificially. On the one hand, it is restricted by the production plan and personnel skill level. On the other hand, the artificial correction is time-consuming, which cannot meet the efficient and accurate requirements of modern smelting technology. In experiments, the original calibration curve method was used to replace type standardization by optimizing the standardized sample. The calibration curve of spark discharge atomic emission spectrometer was corrected by automatic calibration program. Through production inspection and verification, the calibration curve was automatically corrected according to the preset period for judgement of measurement results. It was not affected by the skill of inspectors. Moreover, each steel used endurance curve method, so the discrimination of various steels was not required and it was not restricted by the production plan. The correction time of six spark discharge atomic emission spectrometers reduced from the original 6 h to 1.5 h. The production inspection and verification indicated that the proposed method could meet the precision and accuracy requirements of GB/T 4336-2016. It was applicable for the online and automatic testing in iron and steel industry.
王曼娟, 李荣荣, 沈广强, 石建鹏, 崔晨. 火花放电原子发射光谱仪自动校正校准曲线的可行性探讨[J]. 冶金分析, 2021, 41(7): 67-74.
WANG Manjuan, LI Rongrong, SHEN Guangqiang, SHI Jianpeng, CUI Chen. Discussion on the feasibility of automatic correction of calibration curve for spark discharge atomic emission spectrometer. , 2021, 41(7): 67-74.
[1] 中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.GB/T 6379.6—2009测量方法与测量结果的准确度 第6部分:准确度的实际应用[S].北京:中国标准出版社,2009. [2] 曹宏燕.分析测试统计方法和质量控制[M].北京:化学工业出版社,2017:172. [3] 贾云海.测量标准偏差Sn与分析标准中重复性限r的关系研究[J].冶金分析,2016,36(1):1-3. JIA Yunhai.Research on the relationship between standard deviation Sn and repeatability limit r in analytical standard[J].Metallurgical Analysis,2016,36(1):1-3. [4] 中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.GB/T 4336—2016 碳素钢和中低合金钢 多元素含量的测定 火花放电原子发射光谱法(常规法)[S].北京:中国标准出版社,2016. [5] 中国材料与实验团体标准.T/CSTM 00010.2—2017钢铁多元素含量的测定 火花放电原子发射光谱法(常规法)第2部分:非合金钢[S].北京:中国标准出版社,2018. [6] 臧慕文,柯瑞华.成分分析中的数理统计及不确定度评定概要[M].北京:中国标准出版社,2012:19. [7] 贾云海,孙晓飞,袁良经.分析仪器长期稳定性表征方法研究[J].冶金分析,2019,39(10):1-7. JIA Yunhai,SUN Xiaofei,YUAN Liangjing.Research on the characterization of long-term stability for analytical instrument [J].Metallurgical Analysis,2019,39(10):1-7. [8] 吴振,喻能利,蔡璐,等.火花放电原子发射光谱仪分析高含量硅时校准曲线的扩展与应用[J].冶金分析,2019,39(1):59-63. WU Zhen,YU Nengli,CAI Lu,et al.Extension and application of calibration curve for the analysis of high content silicon by spark discharge atomic emission spectrometry[J].Metallurgical Analysis,2019,39(1):59-63. [9] 贾云海,孙晓飞.火花放电原子发射光谱分析全流程正确度控制方法研究[J].冶金分析,2020,40(7):1-7. JIA Yunhai,SUN Xiaofei.Research on trueness control method of full process in spark discharge atomic emission spectrometric analysis [J].Metallurgical Analysis,2020,40(7):1-7. [10] 孙晓飞,沈克,文孟喜,等.制定碳素钢火花放电原子发射光谱标准的精密度研究[J].冶金分析,2017,37(10):1-9. SUN Xiaofei,SHEN Ke,WEN Mengxi,et al.Study on the precision of spark discharge atomic emission spectrometry stanfard for carbon steel[J].Metallurgical Analysis,2017,37(10):1-9.
