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A method for estimating the measurement uncertainty of carbon determination in low carbon and low alloy steels by spark atomic emission spectroscopy

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Abstract

Due to its high analysis speed and acceptable accuracy, the Spark Atomic Emission Spectroscopy method has been used widely in steel production factories. Since the accuracy of the results dramatically impacts the quality of the final product, the measurement uncertainty must be calculated and presented along with the analysis results. The primary purpose of this paper is to present a method for estimating the measurement uncertainty of carbon determination in carbon and low alloy steel by spark atomic emission spectroscopy. After identifying the factors influencing the test results, we presented a method for quantification and calculation of each source contribution to the combined uncertainty using mathematical and statistical methods. Finally, the amount of expanded uncertainty is determined for a 95% of confidence level. It was found that the measurement uncertainty is mainly affected by the calibration curve, while the analyst error has no significant effect on the measurement uncertainty. The extended relative uncertainty of 0.01 was determined at the 95% confidence level with a coverage factor k = 2.

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Data availability

Raw data were generated at Zarand Iranian Steel Company (ZISCO). Derived data supporting the findings of this study are available from the corresponding author [A. Golestani] on request.

References

  1. C. Salter, Error analysis using the variance-covariance matrix. J. Chem. Educ. 77(9), 1239 (2000)

    Article  CAS  Google Scholar 

  2. JCGM 100:2008, Evaluation of measurement data- Guide to the expression of uncertainty in measurement, Joint Committee for Guides in Metrology. 2008.

  3. Verdeja, Luis, Fernández González, Daniel, Verdeja González, José, Strengths and Uncertainties of the Steel as Structural Material, Operations and Basic Processes in Steelmaking, 2021.

  4. ASTM E415–15: Standard Test Method for Analysis of Carbon and Low-Alloy Steel by Spark Atomic Emission Spectrometry, 2015.

  5. I. L. Larsen and J. J. Wagner, Linear instrument calibration with statistical application, American Chemical Society and Division of Chemical Education, Inc.1975

  6. V. B. E. Thomsen, Modern Spectrochemical Analysis of Metals, ASM International, 1996.

  7. D. Arsova1, S. Babanova1, P. Mandjukov. Linear Calibration – Is It so Simple, Faculty of Mathematics & Natural Science, 2009.

  8. S. Karakurt, S. Karakurt, Measurement uncertainty of spectrophotometric determination of hexavalent chromium in water. Sci. Bull. 79, 181–194 (2017)

    CAS  Google Scholar 

  9. LGC ARMI, A36/ UNS K02600 Certified Reference Material Certificate of Analysis, No. 213D-11282017-IARM-F, 11/28/2017.

  10. ISO/IEC GUIDE 98-3:2008, Uncertainty of measurement — Part 3: Guide to the expression of uncertainty in measurement (GUM: 1995). 2011 (Corrected version).

  11. A. Florina, B. Vasile, P. Ileana, U. Dan. Estimates of Uncertainty in Optical Emission Spectrometric Method with Arc and Sparks Excitement (SEOASE). 2011.

  12. J. Lee, S.-S. Yang, J.S. Kwak, I. Yang, Uncertainty analysis and ANOVA for the measurement reliability estimation of altitude engine test. J. Mech. Sci. Technol. 21(4), 664–671 (2007)

    Article  Google Scholar 

  13. J.O. Choi, B.J. Kim, G.-H. Nam, A thought on uncertainty evaluation using ANOVA. Accredit. Qual. Assur. 21(1), 65–68 (2016)

    Article  Google Scholar 

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Authors and Affiliations

  1. Zarand Iranian Steel Company (ZISCO), Steel-Making Complex, Kerman, Iran

    Amin Golestani, Saeb Sadeghi, Hamidreza Pourmahmoudi, Mashaalah Sohrabnejad, Majid Feyzbakhshian, Mohammadreza Zadsadeghi, MohammadAli Arabnejad & Azim Bahaaldini

Authors
  1. Amin Golestani
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  2. Saeb Sadeghi
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  3. Hamidreza Pourmahmoudi
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  4. Mashaalah Sohrabnejad
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  5. Majid Feyzbakhshian
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  6. Mohammadreza Zadsadeghi
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  7. MohammadAli Arabnejad
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  8. Azim Bahaaldini
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Corresponding author

Correspondence to Amin Golestani.

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Golestani, A., Sadeghi, S., Pourmahmoudi, H. et al. A method for estimating the measurement uncertainty of carbon determination in low carbon and low alloy steels by spark atomic emission spectroscopy. ANAL. SCI. 39, 389–394 (2023). https://doi.org/10.1007/s44211-022-00264-7

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  • DOI: https://doi.org/10.1007/s44211-022-00264-7

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