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dc.contributor.authorBatu, Temesgen
dc.contributor.authorLemu, Hirpa G.
dc.contributor.authorShimels, H.G.
dc.contributor.authorZebenay, M.
dc.date.accessioned2024-03-14T11:39:48Z
dc.date.available2024-03-14T11:39:48Z
dc.date.created2024-01-03T08:13:21Z
dc.date.issued2023
dc.identifier.citationBatu, T., Lemu, H. G., Shimels, H. G., & Zebenay, M. (2023, December). Process parameter modelling and optimization techniques applied to fused deposition modelling: A review. In IOP Conference Series: Materials Science and Engineering (Vol. 1294, No. 1, p. 012047). IOP Publishing.en_US
dc.identifier.issn1757-8981
dc.identifier.urihttps://hdl.handle.net/11250/3122405
dc.description.abstractManufacturing is the foundation of any industrialized country and involves making products from raw materials using various processes. Additive manufacturing (AM) was originally created as a method for swift prototyping, allowing the visualization, testing, and validation of a design prior to final production for end-users. FDM is the most commonly used additive manufacturing process for constructing products and prototypes. It encompasses numerous process parameters that impact the quality of manufactured products. Properly selecting these process parameters is crucial for producing products at a lower cost while enhancing mechanical properties, build time, and part quality, among other factors. Therefore, in the past, researchers have optimized the process parameters to achieve the desired product outcomes. In the present study, we provide an overview of FDM process parameters and review various design optimization methods. We present several experimental designs, such as the Taguchi method, response surface methodology, and design of experiments, as well as computational approaches like artificial intelligence, and machine learning.en_US
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleProcess parameter modelling and optimization techniques applied to fused deposition modelling: A reviewen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe authorsen_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.volume1294en_US
dc.source.journalIOP Conference Series: Materials Science and Engineeringen_US
dc.identifier.doi10.1088/1757-899X/1294/1/012047
dc.identifier.cristin2219484
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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