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Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: Data driven modelling

Additives; Forecasting; Graphene; Graphene Nanoplatelets; Neural networks; Planning; Plastic products; Support vector machines; Sustainable development; Tensile strength; Toughness; Cable insulation; Data driven modelling; Effect of parameters; Hybrid support vector machines; Maleic anhydride grafte...

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Main Authors: Alsaffar M.A., Ali J.M., Abdel Ghany M.A., Ayodele B.V.
Other Authors: 57210601717
Format: Conference Paper
Published: IOP Publishing Ltd 2023
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spelling my.uniten.dspace-261102023-05-29T17:06:54Z Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: Data driven modelling Alsaffar M.A. Ali J.M. Abdel Ghany M.A. Ayodele B.V. 57210601717 57197302318 57215843327 56862160400 Additives; Forecasting; Graphene; Graphene Nanoplatelets; Neural networks; Planning; Plastic products; Support vector machines; Sustainable development; Tensile strength; Toughness; Cable insulation; Data driven modelling; Effect of parameters; Hybrid support vector machines; Maleic anhydride grafted polypropylene; Nanoparticles additives; Polypropylene composite; Research interests; Polypropylenes Polypropylene is commonly employed in several industrial applications such as packaging, cable insulation and automotive. Research interest has focused on how to improve its mechanical properties to reduce the effect of low impact toughness of polypropylene. One of the sustainable ways to achieve this is by incorporating graphene nanoplatelets to form a composite. This study investigates the application of a hybrid support vector machine (SVM) and artificial neural networks (ANN) model to predict the effect of incorporating graphene on the mechanical properties of polyproline composites. The effect of parameters such as maleic anhydride grafted polypropylene (MAPP), Talc, and exfoliated graphene nanoplatelets on the tensile strength and modulus of the polypropylene composites was modelled by using ANN. Testing various topologies was accomplished. An optimized ANN structure of 3-7-2 indicating 3 input-layer, 7 hidden layer, and 2 output-layer was tested. Both the SVM and the ANN predict well the mechanical properties of polyproline composites. However, the ANN with R2 of 0.999 offers the best predictions. � Published under licence by IOP Publishing Ltd. Final 2023-05-29T09:06:54Z 2023-05-29T09:06:54Z 2021 Conference Paper 10.1088/1755-1315/779/1/012001 2-s2.0-85109719434 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109719434&doi=10.1088%2f1755-1315%2f779%2f1%2f012001&partnerID=40&md5=24a6840cd6a77dd2451af7dc775bce0d https://irepository.uniten.edu.my/handle/123456789/26110 779 1 12001 All Open Access, Gold IOP Publishing Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Additives; Forecasting; Graphene; Graphene Nanoplatelets; Neural networks; Planning; Plastic products; Support vector machines; Sustainable development; Tensile strength; Toughness; Cable insulation; Data driven modelling; Effect of parameters; Hybrid support vector machines; Maleic anhydride grafted polypropylene; Nanoparticles additives; Polypropylene composite; Research interests; Polypropylenes
author2 57210601717
author_facet 57210601717
Alsaffar M.A.
Ali J.M.
Abdel Ghany M.A.
Ayodele B.V.
format Conference Paper
author Alsaffar M.A.
Ali J.M.
Abdel Ghany M.A.
Ayodele B.V.
spellingShingle Alsaffar M.A.
Ali J.M.
Abdel Ghany M.A.
Ayodele B.V.
Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: Data driven modelling
author_sort Alsaffar M.A.
title Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: Data driven modelling
title_short Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: Data driven modelling
title_full Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: Data driven modelling
title_fullStr Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: Data driven modelling
title_full_unstemmed Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: Data driven modelling
title_sort attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: data driven modelling
publisher IOP Publishing Ltd
publishDate 2023
_version_ 1806426279087439872
score 13.214268

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