Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds

Till Böttjer*, Georg Ørnskov Rønsch, Cláudio Gomes, Devarajan Ramanujan, Alexandros Iosifidis, Peter Gorm Larsen

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

1 Citationer (Scopus)

Abstract

Throughout their useful life, plastic injection moulds operate in rapidly varying cyclic environments, and are prone to continual degradation. Quantifying the remaining useful life of moulds is a necessary step for minimizing unplanned downtime and part scrap, as well as scheduling preventive mould maintenance tasks such as cleaning and refurbishment. This paper presents a data-driven approach for identifying degradation progression and remaining useful life of moulds, using real-world production data. An industrial data set containing metrology measurements of a solidified plastic part, along with corresponding life-cycle data of 13 high production volume injection moulds, was analyzed. Multivariate Statistical Process Control techniques and XGBoost classification models were used for constructing data-driven models of mould degradation progression, and classifying mould state (early run-in, production, worn-out). Results show the XGBoost model developed using element metrology & relevant mould lifecycle data classifies worn-out moulds with an in-class accuracy of 88%. Lower in-class accuracy of 73% and 61% were achieved for the compared to mould-worn out less critical early run-in and production states respectively.

OriginalsprogEngelsk
TitelTowards Sustainable Customization : Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021
RedaktørerAnn-Louise Andersen, Rasmus Andersen, Thomas Ditlev Brunoe, Maria Stoettrup Schioenning Larsen, Kjeld Nielsen, Alessia Napoleone, Stefan Kjeldgaard
Antal sider9
ForlagSpringer
Publikationsdato2022
Sider431-439
ISBN (Trykt)978-3-030-90699-3
ISBN (Elektronisk)978-3-030-90700-6
DOI
StatusUdgivet - 2022
Begivenhed8th Changeable, Agile, Reconfigurable and Virtual Production Conference, CARV 2021 and 10th World Mass Customization and Personalization Conference, MCPC 2021 - Aalborg, Danmark
Varighed: 1 nov. 20212 nov. 2021

Konference

Konference8th Changeable, Agile, Reconfigurable and Virtual Production Conference, CARV 2021 and 10th World Mass Customization and Personalization Conference, MCPC 2021
Land/OmrådeDanmark
ByAalborg
Periode01/11/202102/11/2021
NavnLecture Notes in Mechanical Engineering
ISSN2195-4356

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