Bimodal impact strength distribution in HDPE composites : formulational effects and bayesian inference

dc.contributor.authorViljoen, David
dc.contributor.authorLabuschagné, Johan
dc.contributor.authorKuehnert, Ines
dc.contributor.emailwd.viljoen@tuks.co.za & johan.labuschagne@up.ac.zaen_US
dc.date.accessioned2024-08-30T13:07:58Z
dc.date.available2024-08-30T13:07:58Z
dc.date.issued2024-04
dc.description.abstractA bimodal impact strength distribution was found in notched impact specimens of HDPE composites with calcium carbonate, carbon black, SEBS and stabilisers. The bimodal distribution was only found at moderate-to-high calcium carbonate loadings, with the likelihood of low impact strength increasing with increasing stabiliser loading and decreasing with increasing SEBS/CB masterbatch loading. Bayesian methods were used first to confirm bimodality and then to investigate the effects of formulation on the performance of the system, based on a hierarchical model with quadratic and interactive terms and switching based on the sampling of a Bernoulli distribution with a logistic regression informing the probability of high or low impact strength. The results are contextualised through micrograph fractography and, briefly, differential scanning calorimetry. Results are also reported for unnotched impact tests, with negative correlations for impact strength with calcium carbonate and stabilisers, a positive correlation with SEBS/CB and interactive effects.en_US
dc.description.departmentChemical Engineeringen_US
dc.description.sdgSDG-09: Industry, innovation and infrastructureen_US
dc.description.urihttps://www.sciencedirect.com/journal/advanced-industrial-and-engineering-polymer-researchen_US
dc.identifier.citationViljoen, D., Labuschagné, J., Kuehnert, I. 2024, 'Bimodal impact strength distribution in HDPE composites : formulational effects and bayesian inference', Advanced Industrial and Engineering Polymer Research, vol. 7, pp. 201-214, doi : 10.1016/j.aiepr.2023.11.001.en_US
dc.identifier.issn2542-5048 (online)
dc.identifier.other10.1016/j.aiepr.2023.11.001
dc.identifier.urihttp://hdl.handle.net/2263/97964
dc.language.isoenen_US
dc.publisherKeAi Communications Co.en_US
dc.rights© 2023 Kingfa Scientific and Technological Co. Ltd. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.en_US
dc.subjectBayesian inferenceen_US
dc.subjectPolymer compositesen_US
dc.subjectBimodalen_US
dc.subjectImpact strengthen_US
dc.subjectFractographyen_US
dc.subjectSDG-09: Industry, innovation and infrastructureen_US
dc.titleBimodal impact strength distribution in HDPE composites : formulational effects and bayesian inferenceen_US
dc.typeArticleen_US

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