Elastic Moduli of Electrospun Mats: Importance of Fiber Curvature and Specimen Dimensions
2017 (English)In: Journal of The Mechanical Behavior of Biomedical Materials, ISSN 1751-6161, E-ISSN 1878-0180, Vol. 72, p. 6-13Article in journal (Refereed) In press
Abstract [en]
Success of tissue engineering relies on the architecture and properties of porous scaffolds. Electrospun nonwoven scaffolds in the form of mats are unique materials due to large surface area to volume ratio, high porosity, versatility in surface functionalities and excellent mechanical properties. Maneuvering the mechanical behavior ofthe electrospun mat is a major challenge both from theoretical and experimental perspectives. Herein, we report a two-dimensional (2D) analytical model of normalized elastic moduli of electrospun mats by formulating a relationship with the governing fiber and structural parameters. The analytical model of normalized mat modulush as also accounted for fiber curvature in the form of sinusoidal curve along with the specimen dimensions considered during the uniaxial tensile test. A comparison has been made between the magnitudes of normalized matmodulus obtained through predictive modeling and the experimental results adapted from the literature. In general, a good agreement has been found between the theoretical and experimental results of normalized moduli ofthe electrospun mats. An interplay of some of the governing parameters has been analyzed through parametric analysis. Through theoretical modeling, the normalized amplitude of fiber crimp via fiber diameter along withthe aspect ratio of specimen dimensions are observed to be the dominant factors responsible for modulating thenormalized mat modulus.
Place, publisher, year, edition, pages
2017. Vol. 72, p. 6-13
Keywords [en]
fiber curvature, electrospun, specimen dimension, tissue
National Category
Textile, Rubber and Polymeric Materials
Research subject
Textiles and Fashion (General)
Identifiers
URN: urn:nbn:se:hb:diva-12106DOI: 10.1016/j.jmbbm.2017.04.013ISI: 000403123600002Scopus ID: 2-s2.0-85018504050OAI: oai:DiVA.org:hb-12106DiVA, id: diva2:1088902
2017-04-182017-04-182018-11-29Bibliographically approved