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Considering Electrospun Nanofibers as a Filler Network in Electrospun Nanofiber-Reinforced Composites to Predict the Tensile Strength and Young's Modulus of Nanocomposites: A Modeling Study.
Gavande, Vishal; Nagappan, Saravanan; Lee, Won-Ki.
Afiliação
  • Gavande V; Division of Polymer Engineering, Pukyong National University, Busan 48513, Republic of Korea.
  • Nagappan S; Department of Chemistry, Chemistry Institute for Functional Materials, Pusan National University, 2 Busandaehak-ro 63beon-gil, Busan 46241, Republic of Korea.
  • Lee WK; Division of Polymer Engineering, Pukyong National University, Busan 48513, Republic of Korea.
Polymers (Basel) ; 14(24)2022 Dec 11.
Article em En | MEDLINE | ID: mdl-36559793
In this study, a simple approach was described to investigate the theoretical models for electrospun polymer nanofiber-reinforced nanocomposites. For predicting the tensile strength of the electrospun nylon 6 nanofiber-reinforced polyurethane acrylate composites, conventional Pukanszky, Nicolais-Narkis, Halpin-Tsai, and Neilson models were used, while for Young's modulus, Halpin-Tsai, modified Halpin-Tsai, and Hui-Shia models were used. As per the Pukanszky model, composite films showed better interaction since the values of the interaction parameter, B, were more than 3. Similarly, the value of an interfacial parameter, K, was less than 1.21 (K = -5, for the curve fitting) as per the Nicolais-Narkis model, which indicated better interfacial interaction. For composite films, the modified Halpin-Tsai model was revised again by introducing the orientation factor, α, which was 0.333 for the randomly oriented continuous nanofiber-reinforced composites, and the exponential shape factor, ξ = (2l/d)e-avf-b, which showed the best agreement with the experimental Young's modulus results. Based on mentioned remarks, these models would be applicable for estimating the tensile strength and Young's modulus of electrospun nanofiber-reinforced polymer composite films.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article