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
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–Nar...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Polymers |
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| Online Access: | https://www.mdpi.com/2073-4360/14/24/5425 |
| _version_ | 1797455617905917952 |
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| author | Vishal Gavande Saravanan Nagappan Won-Ki Lee |
| author_facet | Vishal Gavande Saravanan Nagappan Won-Ki Lee |
| author_sort | Vishal Gavande |
| collection | DOAJ |
| description | 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, <i>B</i>, were more than 3. Similarly, the value of an interfacial parameter, <i>K</i>, was less than 1.21 (<i>K</i> = −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, <i>α</i>, which was 0.333 for the randomly oriented continuous nanofiber-reinforced composites, and the exponential shape factor, <i>ξ</i> = (2<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>l</mi><mo>/</mo><mi>d</mi><mo stretchy="false">)</mo><msup><mi>e</mi><mrow><mo>−</mo><mi>a</mi><msub><mi>v</mi><mi>f</mi></msub><mo>−</mo><mi>b</mi></mrow></msup></mrow></semantics></math></inline-formula>, 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. |
| first_indexed | 2024-03-09T15:56:54Z |
| format | Article |
| id | doaj.art-e7bb1290aa3a4eecbc351f7745f19cb0 |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-09T15:56:54Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-e7bb1290aa3a4eecbc351f7745f19cb02023-11-24T17:31:55ZengMDPI AGPolymers2073-43602022-12-011424542510.3390/polym14245425Considering Electrospun Nanofibers as a Filler Network in Electrospun Nanofiber-Reinforced Composites to Predict the Tensile Strength and Young’s Modulus of Nanocomposites: A Modeling StudyVishal Gavande0Saravanan Nagappan1Won-Ki Lee2Division of Polymer Engineering, Pukyong National University, Busan 48513, Republic of KoreaDepartment of Chemistry, Chemistry Institute for Functional Materials, Pusan National University, 2 Busandaehak-ro 63beon-gil, Busan 46241, Republic of KoreaDivision of Polymer Engineering, Pukyong National University, Busan 48513, Republic of KoreaIn 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, <i>B</i>, were more than 3. Similarly, the value of an interfacial parameter, <i>K</i>, was less than 1.21 (<i>K</i> = −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, <i>α</i>, which was 0.333 for the randomly oriented continuous nanofiber-reinforced composites, and the exponential shape factor, <i>ξ</i> = (2<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>l</mi><mo>/</mo><mi>d</mi><mo stretchy="false">)</mo><msup><mi>e</mi><mrow><mo>−</mo><mi>a</mi><msub><mi>v</mi><mi>f</mi></msub><mo>−</mo><mi>b</mi></mrow></msup></mrow></semantics></math></inline-formula>, 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.https://www.mdpi.com/2073-4360/14/24/5425nanocompositeselectrospinningnanofiber-reinforced compositesmechanical propertiesmodeling |
| spellingShingle | Vishal Gavande Saravanan Nagappan Won-Ki Lee 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 Polymers nanocomposites electrospinning nanofiber-reinforced composites mechanical properties modeling |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | nanocomposites electrospinning nanofiber-reinforced composites mechanical properties modeling |
| url | https://www.mdpi.com/2073-4360/14/24/5425 |
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