Research Output per year
The uncertainty of measurements must be quantified and considered in order to prove conformance with specifications and make other meaningful comparisons based on measurements. While there is a consistent methodology for the evaluation and expression of uncertainty within the metrology community industry frequently uses the alternative Measurement Systems Analysis methodology. This paper sets out to clarify the differences between uncertainty evaluation and MSA and presents a novel hybrid methodology for industrial measurement which enables a correct evaluation of measurement uncertainty while utilising the practical tools of MSA. In particular the use of Gage R&R ANOVA and Attribute Gage studies within a wider uncertainty evaluation framework is described. This enables in-line measurement data to be used to establish repeatability and reproducibility, without time consuming repeatability studies being carried out, while maintaining a complete consideration of all sources of uncertainty and therefore enabling conformance to be proven with a stated level of confidence. Such a rigorous approach to product verification will become increasingly important in the era of the Light Controlled Factory with metrology acting as the driving force to achieve the right first time and highly automated manufacture of high value large scale products such as aircraft, spacecraft and renewable power generation structures.
|Journal||InImpact: The Journal of Innovation Impact|
|Publication status||Published - 1 May 2016|
|Event||2nd international conference on Sustainable Design and Manufacturing 2015 - Seville, Spain|
Duration: 12 Apr 2015 → 14 Apr 2015
Implementation of a machine tool performance measurement and diagnostic system and its impact on parts verificationJamshidi, A., Maropoulos, P., Chappell, M. & Cave, J., 2015, [Proceedings in press]. Springer, (Smart innovation, systems and technologies).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Muelaner, J., Francis, A., Chappell, M., & Maropoulos, P. (2016). A hybrid measurement systems analysis and uncertainty of measurement approach for industrial measurement in the light controlled factory. InImpact: The Journal of Innovation Impact , 8(2), 466-477.