Numerical study of curing thermal residual stresses in GF/CNF/epoxy nanocomposite using a random generator model. Issue 24 (17th December 2021)

• Record Type: Journal Article
• Authors: Jafarpour, A.; Safarabadi, M.; Haghighi-Yazdi, M.; Yousefi, A.
• Is Part Of: Mechanics of advanced materials and structures. Volume 28:Issue 24(2021)
• Page Start: 2618
• Page End: 2628
• Publication Date: 2021-12-17
• Subjects: Residual stress -- random generator -- nanocomposite -- RVE -- classical lamination theory; Composite materials -- Mechanical properties -- Periodicals; Composite construction -- Periodicals; 620.118
• DOI: 10.1080/15376494.2020.1748254
• Languages: English
• ISSNs: 1537-6494

Abstract

Abstract: The effect of adding carbon nanofibers (CNFs) on thermal residual stresses in polymer nanocomposites was conducted semi-analytically considering aligned and random distribution of CNFs. The Halpin-Tsai-Schapery (HTS) and Mori-Tanaka-Schapery (MTS) models were applied to detect the thermo-mechanical properties. The results illustrated that the FEM model, in which the nanofillers are randomly distributed, is more reliable. The addition of CNFs with random distribution leads to a reduction in residual stresses in longitudinal and transverse direction equally, whereas adding aligned dispersed CNFs in a specific direction leads to reducing further thermal residual stresses compared to a random distribution of CNFs.