Simple models for tensile modulus of shape memory polymer nanocomposites at ambient temperature

Abstract This article analyzes the tensile modulus of shape memory polymer nanocomposites (SMPNs) at ambient temperature. Several conventional models, such as rule mixtures, Halpin–Tsai and Kerner–Nielsen, cannot practically estimate due to absence some main parameters for nanocomposites. Additionally, in Kerner–Nielsen Sato–Furukawa models are useless ineffective, small concentration high nanofillers SMPNs. Therefore, simplified modified deliver simple calculation Various nanocomposite samples provided prove validity suggested models. The results demonstrate that predictions have a good match with experimental results. also simplicity accuracy SMPNs Generally, calculated disclose model is preferable approximation