مورد إلكتروني
Modeling of modulus and strength in void-containing clay platelet/cellulose nanocomposites by unit cell approach
العنوان: | Modeling of modulus and strength in void-containing clay platelet/cellulose nanocomposites by unit cell approach |
---|---|
بيانات النشر: | Karlstads universitet, Institutionen för ingenjörs- och kemivetenskaper (from 2013) Royal Institute of Technology (KTH), Sweden 2023 |
تفاصيل مُضافة: | Tavares da Costa, Marcus Vinicius Berglund, Lars A. |
نوع الوثيقة: | Electronic Resource |
مستخلص: | Clay platelets/cellulose nanofibril nanocomposites are recyclable engineering materials of interest for sustainable development. There is substantial experimental data for mechanical properties, but modeling efforts are scarce. Here, a conceptual unit cell with voids was used in finite element modeling. Predictions for the in-plane modulus taking voids into account were more accurate than the classical rule of mixtures. Simulations also reveal that the cellulosic matrix undergoes shear and tensile deformation with inclined fracture located near the end of platelets for low clay content while predicting brittle tensile failure for high clay content. The results from the unit cell approach provide improved understanding of experimental observations, supporting the strive to better understand mechanisms of deformation and fracture. |
مصطلحات الفهرس: | Artificial nacre, biocomposites, brick-and-mortar, FEM, nanocellulose, porosity, Composite Science and Engineering, Kompositmaterial och -teknik, Article in journal, info:eu-repo/semantics/article, text |
DOI: | 10.1080.20550324.2023.2268307 |
URL: | Nanocomposites, 2023, 9:1, s. 138-147 |
الإتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess |
ملاحظة: | application/pdf English |
أرقام أخرى: | UPE oai:DiVA.org:kau-97355 0000-0002-0491-1077 doi:10.1080/20550324.2023.2268307 Scopus 2-s2.0-85175263380 1416071420 |
المصدر المساهم: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
رقم الانضمام: | edsoai.on1416071420 |
قاعدة البيانات: | OAIster |
DOI: | 10.1080.20550324.2023.2268307 |
---|