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Single and multi-objective real-time optimisation of an industrial injection moulding process via a...

Single and multi-objective real-time optimisation of an industrial injection moulding process via a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b0b8d0d39ef848fe97aac707e8a9d91a

Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach

About this item

Full title

Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-11, Vol.14 (1), p.29799-19, Article 29799

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Minimising cycle time without inducing quality defects is a major challenge in injection moulding (IM). Design of Experiment methods (DoE) have been widely studied for optimisation of injection moulding, however existing methods have limitations, including the need for a large number of experiments within a pre-determined search space. Bayesian ada...

Alternative Titles

Full title

Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b0b8d0d39ef848fe97aac707e8a9d91a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b0b8d0d39ef848fe97aac707e8a9d91a

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-80405-2

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