Characterising and propagating the sources of error and uncertainty in the optical measurement of gears using designed experiments

Abstract In recent years, the growth of optical techniques has introduced the possibility of allowing several alternative methods for non-contact gear measurement to be utilised. Optical methods can offer many advantages over tactile, such as the potential to evaluate delicate surfaces quickly and measure the whole area of the gear tooth flank at the sub-micron level. However, to maximise their potential, the magnitude of error and characterisation of the sources of error and uncertainty need to be understood. By utilising a series of designed experiments with known size gear artefacts, the effects caused by the change of specific key instrument parameters can be evaluated. These measurement trials demonstrate how the results from experimental methodologies can be used to determine the statistical significance of any predetermined instrument variables under study. When correctly planned, designed experiments allow the identification of the sources of error. By applying statistical methods, we can determine if these sources are significant or not. This will allow determination of which parameters need to be defined when optimising the conditions for measurement by comparing the results with those from the UK National Gear Metrology Laboratory. This comparison can also provide guidance on developing measurement uncertainty.

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Publication Details

Journal
Measurement Science and Technology
Published
2025-05-27
DOI
https://doi.org/10.1088/1361-6501/addd40
Primary Topic
Advanced Measurement and Metrology Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Characterising and propagating the sources of error and uncertainty in the optical measurement of gears using designed experiments

Samanta Piano, Sofia Catalucci, Aaron L. Sharpe, Robert Frazer et al.
Measurement Science and Technology
Advanced Measurement and Metrology Techniques
article

Characterising and propagating the sources of error and uncertainty in the optical measurement of gears using designed experiments

Samanta Piano, Sofia Catalucci, Aaron L. Sharpe, Robert Frazer, Douglas Sexton
article en

Abstract

Abstract In recent years, the growth of optical techniques has introduced the possibility of allowing several alternative methods for non-contact gear measurement to be utilised. Optical methods can offer many advantages over tactile, such as the potential to evaluate delicate surfaces quickly and measure the whole area of the gear tooth flank at the sub-micron level. However, to maximise their potential, the magnitude of error and characterisation of the sources of error and uncertainty need to be understood. By utilising a series of designed experiments with known size gear artefacts, the effects caused by the change of specific key instrument parameters can be evaluated. These measurement trials demonstrate how the results from experimental methodologies can be used to determine the statistical significance of any predetermined instrument variables under study. When correctly planned, designed experiments allow the identification of the sources of error. By applying statistical methods, we can determine if these sources are significant or not. This will allow determination of which parameters need to be defined when optimising the conditions for measurement by comparing the results with those from the UK National Gear Metrology Laboratory. This comparison can also provide guidance on developing measurement uncertainty.

Measurement Science and TechnologyVol. 36(6)
National Physical Laboratory (GB), University of Padua (IT), University of Nottingham (GB), Manufacturing Technology Centre (United Kingdom) (GB)
UK Research and Innovation
Openalex Percentile: Top 89%
Advanced Measurement and Metrology Techniques
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Characterising and propagating the sources of error and uncertainty in the optical measurement of gears using designed experiments — Samanta Piano, Sofia Catalucci, et al. · Measurement Science and Technology (2025) | TGRS Research Map | TGRS