Uncertainty assessment for measurement processes in the aerospace manufacturing industry

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dc.contributor.authorRojo Abollado, Jaime
dc.contributor.authorShehab, Essam
dc.contributor.authorRose, M.
dc.contributor.authorSchröter, T.
dc.date.accessioned2017-06-02T14:31:18Z
dc.date.available2017-06-02T14:31:18Z
dc.date.issued2017-05-09
dc.description.abstractMeasurement processes are critical to the aerospace industry, which products must follow strict regulations and customer requirements. Additionally, measurement of uncertainty is fast becoming a requirement from both certification bodies and customers. An uncertainty assessment must be carried out for all processes that need to add an uncertainty statement to the measurement result. In order to maintain defined quality standards, aerospace manufacturing companies need to identify all measurement disciplines that benefit from stating the level of uncertainty and define a methodology to calculate it for complex measurement processes. An extensive research has been conducted in order to define the most appropriate methodology to assess uncertainty on complex aerospace components and a case study has been applied to assess the strain gauge calibration test uncertainty of different aerospace components. This study develops a generic framework, which helps the assessment of all individual sources of uncertainty and completes the one established by the Guide to the Expression of Uncertainty in Measurement. Conclusions have been extracted from the outcome of the case study. The conducted research contributes to a better understanding of measurement processes and good practices that lead to lower uncertainty. The outcome will help manufacturing companies to be aware of the contributors of uncertainty to the tests, how to reduce this uncertainty and the reliability of the measurements taken during the process.en_UK
dc.identifier.citationJ. Rojo Abollado, E. Shehab, M. Rose, T. Schröter, Uncertainty assessment for measurement processes in the aerospace manufacturing industry, Procedia CIRP, Volume 60, 2017, Pages 326-331en_UK
dc.identifier.issn2212-8271
dc.identifier.urihttp://dx.doi.org/10.1016/j.procir.2017.01.030
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/11961
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-Non-Commercial-No Derivatives 4.0 Unported (CC BY-NC-ND 4.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectMesasurement of Uncertaintyen_UK
dc.subjectAssessment frameworken_UK
dc.subjectKey driversen_UK
dc.titleUncertainty assessment for measurement processes in the aerospace manufacturing industryen_UK
dc.typeArticleen_UK

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