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المؤلفSingh, R. P.
المؤلفSingh, S.
المؤلفGill, R.
المؤلفKumar, R.
المؤلفSharma, P.
المؤلفKumar, G.
المؤلفLuyt, A. S.
تاريخ الإتاحة2022-04-17T09:47:34Z
تاريخ النشر2020
اسم المنشورIndian Journal of Pure and Applied Physics
المصدرScopus
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85092055997&partnerID=40&md5=15a5e254da014bda712313855bcddeeb
معرّف المصادر الموحدhttp://hdl.handle.net/10576/29902
الملخصThe effective electrical conductivity (EEC) of low density polyethylene (LDPE) and linear low density polyethylene (LLDPE) polymer composites filled with copper has been studied. The nonlinear behavior has been observed for effective electrical conductivity versus filler content. Several approaches have been described to predict the electrical conductivities of polymer composites. EEC is described by artificial neural network (ANN) and it demonstrates the accurate match of experimental data for EEC with different training functions (TRAINOSS, TRAINLM, TRAINBR, TRAINSCG, TRAINBFG, and TRAINRP). The ANN approach satisfied the experimental data for EEC of polymer composites reasonably well. The complex structure encountered in LDPE/Cu and LLDPE/Cu, along with the difference in the EEC of the components, make it difficult to estimate the EEC exactly. This is the reason for which artificial neural network has been employed here. By using ANN approach experimental results indicate that EEC of polymer composites increases with increasing filler content at the same concentration.
راعي المشروعOne of the author Sukhmander Singh appreciates the financial support given by the University Grants Commission (UGC), New Delhi, for providing the startup Grant (Project No. F. 30-356/2017/BSR).
اللغةen
الناشرNational Institute of Science Communication and Information Resources
الموضوعArtificial neural network
Effective electrical conductivity
Training functions
Volume fraction
العنوانComputational studies for the effective electrical conductivity of copper powder filled LDPE/LLDPE composites
النوعArticle
الصفحات486-493
رقم العدد6
رقم المجلد58
dc.accessType Abstract Only


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