عرض بسيط للتسجيلة

المؤلفKhanam, P. Noorunnisa
المؤلفAlMaadeed, MA
المؤلفAlMaadeed, Sumaaya
المؤلفKunhoth, Suchithra
المؤلفOuederni, M.
المؤلفSun, D.
المؤلفHamilton, A.
المؤلفJones, Eileen Harkin
المؤلفMayoral, Beatriz
تاريخ الإتاحة2021-09-07T06:16:22Z
تاريخ النشر2016
اسم المنشورInternational Journal of Polymer Science
المصدرScopus
الرقم المعياري الدولي للكتاب16879422
معرّف المصادر الموحدhttp://dx.doi.org/10.1155/2016/5340252
معرّف المصادر الموحدhttp://hdl.handle.net/10576/22836
الملخصThe focus of this work is to develop the knowledge of prediction of the physical and chemical properties of processed linear low density polyethylene (LLDPE)/graphene nanoplatelets composites. Composites made from LLDPE reinforced with 1, 2, 4, 6, 8, and 10 wt% grade C graphene nanoplatelets (C-GNP) were processed in a twin screw extruder with three different screw speeds and feeder speeds (50, 100, and 150 rpm). These applied conditions are used to optimize the following properties: thermal conductivity, crystallization temperature, degradation temperature, and tensile strength while prediction of these properties was done through artificial neural network (ANN). The three first properties increased with increase in both screw speed and C-GNP content. The tensile strength reached a maximum value at 4 wt% C-GNP and a speed of 150 rpm as this represented the optimum condition for the stress transfer through the amorphous chains of the matrix to the C-GNP. ANN can be confidently used as a tool to predict the above material properties before investing in development programs and actual manufacturing, thus significantly saving money, time, and effort. 2016 P. Noorunnisa Khanam et al.
اللغةen
الناشرHindawi Publishing Corporation
الموضوعGraphite
Polypropylenes
Gross National Product
العنوانOptimization and Prediction of Mechanical and Thermal Properties of Graphene/LLDPE Nanocomposites by Using Artificial Neural Networks
النوعArticle
رقم المجلد2016
dc.accessType Open Access


الملفات في هذه التسجيلة

Thumbnail

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة