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

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	270-276
Number of pages	7
Journal	IFAC-PapersOnLine
Volume	55
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2022.04.205
Publication status	Published - 2022
Event	14th IFAC Workshop on Intelligent Manufacturing Systems IMS 2022 - Tel-Aviv, Israel Duration: 28 Mar 2022 → 30 Mar 2022

Keywords

Blind fasteners
manufacturing chain
quality monitoring
riveting
visual analytics

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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

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U2 - 10.1016/j.ifacol.2022.04.205

DO - 10.1016/j.ifacol.2022.04.205

M3 - Conference article

AN - SCOPUS:85132175982

SN - 2405-8963

VL - 55

SP - 270

EP - 276

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

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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Keywords

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