Quality monitoring of blind fasteners installation: An approach from the manufacturing chain and visual analytics

Alain Gil Del Val; Mariluz Penalva; Fernando Veiga; Edurne Iriondo

doi:10.1016/j.ifacol.2022.04.205

Quality monitoring of blind fasteners installation: An approach from the manufacturing chain and visual analytics

Alain Gil Del Val
, Mariluz Penalva
, Fernando Veiga
, Edurne Iriondo

Universidad Internacional de La Rioja
Public University of Navarre

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

Fastening is a recurrent assembly operation at the aerospace industry. Among the many different types of fasteners being used blind ones offer particular advantages but there is yet a lack of reliable installation monitoring methods for their massive adoption. The present paper proposes an installation evaluation solution for blind fasteners that integrates the effect of the previous drilling operation and allows the visualization of the relationships between hole quality parameters, installation variables and installation quality. The results show high precision values of 0.95 and accuracy of 0.9.

Idioma original	Inglés
Páginas (desde-hasta)	270-276
Número de páginas	7
Publicación	IFAC-PapersOnLine
Volumen	55
N.º	2
DOI	https://doi.org/10.1016/j.ifacol.2022.04.205
Estado	Publicada - 2022
Evento	14th IFAC Workshop on Intelligent Manufacturing Systems IMS 2022 - Tel-Aviv, Israel Duración: 28 mar 2022 → 30 mar 2022

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura

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10.1016/j.ifacol.2022.04.205

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title = "Quality monitoring of blind fasteners installation: An approach from the manufacturing chain and visual analytics",

abstract = "Fastening is a recurrent assembly operation at the aerospace industry. Among the many different types of fasteners being used blind ones offer particular advantages but there is yet a lack of reliable installation monitoring methods for their massive adoption. The present paper proposes an installation evaluation solution for blind fasteners that integrates the effect of the previous drilling operation and allows the visualization of the relationships between hole quality parameters, installation variables and installation quality. The results show high precision values of 0.95 and accuracy of 0.9.",

keywords = "Blind fasteners, manufacturing chain, quality monitoring, riveting, visual analytics",

author = "\{Del Val\}, \{Alain Gil\} and Mariluz Penalva and Fernando Veiga and Edurne Iriondo",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.. All rights reserved.; 14th IFAC Workshop on Intelligent Manufacturing Systems IMS 2022 ; Conference date: 28-03-2022 Through 30-03-2022",

year = "2022",

doi = "10.1016/j.ifacol.2022.04.205",

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T1 - Quality monitoring of blind fasteners installation

T2 - 14th IFAC Workshop on Intelligent Manufacturing Systems IMS 2022

AU - Del Val, Alain Gil

AU - Penalva, Mariluz

AU - Veiga, Fernando

AU - Iriondo, Edurne

PY - 2022

Y1 - 2022

N2 - Fastening is a recurrent assembly operation at the aerospace industry. Among the many different types of fasteners being used blind ones offer particular advantages but there is yet a lack of reliable installation monitoring methods for their massive adoption. The present paper proposes an installation evaluation solution for blind fasteners that integrates the effect of the previous drilling operation and allows the visualization of the relationships between hole quality parameters, installation variables and installation quality. The results show high precision values of 0.95 and accuracy of 0.9.

AB - Fastening is a recurrent assembly operation at the aerospace industry. Among the many different types of fasteners being used blind ones offer particular advantages but there is yet a lack of reliable installation monitoring methods for their massive adoption. The present paper proposes an installation evaluation solution for blind fasteners that integrates the effect of the previous drilling operation and allows the visualization of the relationships between hole quality parameters, installation variables and installation quality. The results show high precision values of 0.95 and accuracy of 0.9.

KW - Blind fasteners

KW - manufacturing chain

KW - quality monitoring

KW - riveting

KW - visual analytics

UR - https://www.scopus.com/pages/publications/85132175982

U2 - 10.1016/j.ifacol.2022.04.205

DO - 10.1016/j.ifacol.2022.04.205

M3 - Conference article

AN - SCOPUS:85132175982

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IS - 2

Y2 - 28 March 2022 through 30 March 2022

ER -

Quality monitoring of blind fasteners installation: An approach from the manufacturing chain and visual analytics

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