Influence of illuminance on indication detectability during visual testing

Michel Blankschän; Daniel Kanzler; Marija Bertovic; Martina Rosenthal; Robert Liebich

doi:10.1515/mt-2022-0112

Article

Influence of illuminance on indication detectability during visual testing

Michel Blankschän , Daniel Kanzler , Marija Bertovic , Martina Rosenthal
Martina Rosenthal, born 1961, completed her apprenticeship as a physics laboratory assistant in 1980. She then worked at the Academy of Sciences in the Central Institute for Electron Physics on optimizing the production of interdigital converters for acoustoelectronics. In 1982 she received a delegation to study “Technology of Electronic Components” at the University of Applied Sciences for Electrical Engineering and Ceramics in Hermsdorf (Thuringia, Germany), which she completed in 1985 with the title Dipl.-Ing. (FH) and worked again in her former working group. Since 1992, she has been working at the Federal Institute for Materials Research and Testing in the field of reliability of non-destructive testing.
and Robert Liebich

Published/Copyright: October 7, 2022

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From the journal Materials Testing Volume 64 Issue 10

Abstract

Visually detecting irregularities on components is a complex process, influenced by physical, technical, and human factors. Current standards mainly focus on illuminance, demanding highest accuracy for it, without providing scientific justification. In this research, 63 inspectors visually inspected forgings, with and without crack-like indications. The influence of illuminance on probability of detection was investigated. Therefore, illuminance was varied in three steps (200 lx, 350 lx, 500 lx). Human factors (e.g., experience, motivation) were recorded by using questionnaires. The results show no significant difference in probability of detection between the three illuminance levels. Equal probability of detection rates could be achieved at illuminances below and at the required threshold (500 lx). A difference in illuminance was found between the measurement point and the test area of the respective participant. This leads to higher assumed illuminance than present on the component. Compared with the measurement accuracy of the used illuminance meter, none of these deviations could be used to explain the similar results at different illuminance. The fact that illuminance has a significant influence in detecting indications has been disproven for this case. Whether human factors can provide explanation for the results remains unclear. This will be investigated in further research.

Keywords: illuminance; non-destructive testing; probability of detection; reliability; visual inspection

Corresponding author: Michel Blankschän, DGZfP Ausbildung und Training GmbH, Max-Planck-Str. 6, 12489, Berlin, Germany, E-mail: bl@dgzfp.de

About the author

Martina Rosenthal

Martina Rosenthal, born 1961, completed her apprenticeship as a physics laboratory assistant in 1980. She then worked at the Academy of Sciences in the Central Institute for Electron Physics on optimizing the production of interdigital converters for acoustoelectronics. In 1982 she received a delegation to study “Technology of Electronic Components” at the University of Applied Sciences for Electrical Engineering and Ceramics in Hermsdorf (Thuringia, Germany), which she completed in 1985 with the title Dipl.-Ing. (FH) and worked again in her former working group. Since 1992, she has been working at the Federal Institute for Materials Research and Testing in the field of reliability of non-destructive testing.

Acknowledgment

The authors acknowledge the significant contribution of Stanislav Lindt (a student at the Humboldt University Berlin) to the creation of the human factors questionnaire.

Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Published Online: 2022-10-07

Published in Print: 2022-10-26

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Articles in the same Issue

https://doi.org/10.1515/mt-2022-0112

Keywords for this article

illuminance; non-destructive testing; probability of detection; reliability; visual inspection