Traceability of on-machine tool measurement: a review

Mutilba, Unai ; Gomez-Acedo, Eneko ; Kortaberria, Gorka ; Olarra, Aitor ; Yagüe-Fabra, Jose A. (Universidad de Zaragoza)

Resumen: Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They provide the possibility to measure the workpiece in-machine during or after its manufacture, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable enough for process control or product validation. The scientific objective is to determine the uncertainty on a machine tool measurement and, therefore, convert it into a machine integrated traceable measuring process. For that purpose, an error budget should consider error sources such as the machine tools, components under measurement and the interactions between both of them. This paper reviews all those uncertainty sources, being mainly focused on those related to the machine tool, either on the process of geometric error assessment of the machine or on the technology employed to probe the measurand.

Idioma: Inglés

DOI: 10.3390/s17071605

Año: 2017

Publicado en: SENSORS 17 (2017), 1605 [38 pp]
ISSN: 1424-8220

Factor impacto JCR: 2.475 (2017)

Categ. JCR: CHEMISTRY, ANALYTICAL rank: 30 / 80 = 0.375 (2017) - Q2 - T2
Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 16 / 61 = 0.262 (2017) - Q2 - T1
Categ. JCR: ELECTROCHEMISTRY rank: 15 / 28 = 0.536 (2017) - Q3 - T2

Factor impacto SCIMAGO: 0.584 - Analytical Chemistry (Q2) - Atomic and Molecular Physics, and Optics (Q2) - Medicine (miscellaneous) (Q2) - Electrical and Electronic Engineering (Q2) - Instrumentation (Q2) - Biochemistry (Q3)

Tipo y forma: Article (Published version)

Área (Departamento): Área Ing. Procesos Fabricación (Dpto. Ingeniería Diseño Fabri.)