Sina Hassanpour Yosefi
Sina Hassanpour Yosefi has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
B. Pourdeyhimi
The Nonwovens Institute NC State University Raleigh North Carolina 27695‐8301
3 shared publicationsC. Tang
Department of Chemical and Life Sciences Virginia Commonwealth University Richmond Virginia 23284‐3015
2 shared publicationsH. Vahedi Tafreshi
2 shared publications- Hooman Vahedi Tafreshi
Department of Mechanical and Aerospace Engineering, North Carolina State University, 911 Oval Drive, Raleigh, North Carolina 27695, United States
2 shared publications - A. Moghadam1 shared publication
- Abolfazl Khalkhali
Department of Automotive Engineering, Iran University of Science and Technology, Tehran, Iran
1 shared publication
Latest Publications
- 1 March 2020
- Published by Elsevier in Separation and Purification Technology
- Vol. 235
Modeling electrospun fibrous structures with embedded spacer particles: Application to aerosol filtration
- 1 March 2020
- Published by Elsevier in Separation and Purification Technology
- Vol. 235
Modeling electrospun fibrous structures with embedded spacer particles: Application to aerosol filtration
- 13 July 2019
- Published by Wiley in Journal of Applied Polymer Science
- Vol. 136 (46) , 48242
Empirical model to simulate morphology of electrospun polycaprolactone mats
This work is the first to report a study aimed at generating 3D virtual geometries that represent the microstructure of an electrospun fibrous mat comprised curly fibers. Polycaprolactone (PCL) mats are considered in our study as an example of such fibrous structures. We started with simulating the formation of PCL filaments and observed good agreement between the predicted and measured fiber diameters. In the absence of quantitative information about the shape of a curly PCL fiber, we treated these fibers as arrays of beads arranged on epitrochoid profiles. We then used the fiber deposition diameter and velocity in a mass‐spring‐damper (MSD) model to generate 3D fibrous geometries comprised hundreds of such curly fibers. The damping and spring constants in the MSD model were obtained through calibration with experimental data reported for single electrospun PCL nanofibers. The size of the epitrochoid‐like fibers was obtained empirically through matching the average thickness of the resulting mats with those measured experimentally. With the calibrated code, we studied the effects of electrospinning conditions on the porosity of PCL nanofiber mats. It was found that increasing the voltage or decreasing the needle‐to‐collector distance results in PCL mats with thicker fibers, and consequently, lower porosities. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 48242.
- 13 July 2019
- Published by Wiley in Journal of Applied Polymer Science
- Vol. 136 (46) , 48242
Empirical model to simulate morphology of electrospun polycaprolactone mats
This work is the first to report a study aimed at generating 3D virtual geometries that represent the microstructure of an electrospun fibrous mat comprised curly fibers. Polycaprolactone (PCL) mats are considered in our study as an example of such fibrous structures. We started with simulating the formation of PCL filaments and observed good agreement between the predicted and measured fiber diameters. In the absence of quantitative information about the shape of a curly PCL fiber, we treated these fibers as arrays of beads arranged on epitrochoid profiles. We then used the fiber deposition diameter and velocity in a mass‐spring‐damper (MSD) model to generate 3D fibrous geometries comprised hundreds of such curly fibers. The damping and spring constants in the MSD model were obtained through calibration with experimental data reported for single electrospun PCL nanofibers. The size of the epitrochoid‐like fibers was obtained empirically through matching the average thickness of the resulting mats with those measured experimentally. With the calibrated code, we studied the effects of electrospinning conditions on the porosity of PCL nanofiber mats. It was found that increasing the voltage or decreasing the needle‐to‐collector distance results in PCL mats with thicker fibers, and consequently, lower porosities. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 48242.
- 1 March 2019
- Published by Elsevier in Separation and Purification Technology
- Vol. 211, 602-609
Characterizing nonwoven materials via realistic microstructural modeling
- 1 March 2019
- Published by Elsevier in Separation and Purification Technology
- Vol. 211, 602-609
Characterizing nonwoven materials via realistic microstructural modeling
- 20 December 2018
- Published by AIP Publishing in Journal of Applied Physics
- Vol. 124 (23) , 235307
Effects of electrospinning conditions on microstructural properties of polystyrene fibrous materials
The mathematical model developed by Reneker et al. [J. Appl. Phys. 87, 4531 (2000)] and Yarin et al. [J. Appl. Phys. 89(5), 3018–3026 (2001)] for modeling filament formation in electrospinning is combined in this work with the structure generation algorithm of Venkateshan et al. [Mater. Des. 96, 27–35 (2016)] to simulate the effects of electrospinning parameters on microstructural properties (i.e., fiber diameter, thickness, and porosity) of the resulting electrospun materials. The model is calibrated using the experimental data obtained from electrospinning polystyrene (PS) fibers. The computational tool developed in this work allows one to study the effects of electrospinning parameters, such as voltage, needle-to-collector distance (NCD), or PS concentration, on the thickness and porosity of the resulting fibrous materials. For instance, it was shown that increasing the voltage or decreasing the NCD in electrospinning polystyrene results in mats with thicker fibers but smaller dimensionless thickness (or lower porosities), in agreement with experimental observations reported in the literature. In addition to serving as a characterization tool for the electrospun materials, the computational model developed in this work can be used to create accurate representations of the surface morphology or the internal geometry of fibrous materials used in a variety of applications, such as particle filtration or droplet separation.
- 20 December 2018
- Published by AIP Publishing in Journal of Applied Physics
- Vol. 124 (23) , 235307
Effects of electrospinning conditions on microstructural properties of polystyrene fibrous materials
The mathematical model developed by Reneker et al. [J. Appl. Phys. 87, 4531 (2000)] and Yarin et al. [J. Appl. Phys. 89(5), 3018–3026 (2001)] for modeling filament formation in electrospinning is combined in this work with the structure generation algorithm of Venkateshan et al. [Mater. Des. 96, 27–35 (2016)] to simulate the effects of electrospinning parameters on microstructural properties (i.e., fiber diameter, thickness, and porosity) of the resulting electrospun materials. The model is calibrated using the experimental data obtained from electrospinning polystyrene (PS) fibers. The computational tool developed in this work allows one to study the effects of electrospinning parameters, such as voltage, needle-to-collector distance (NCD), or PS concentration, on the thickness and porosity of the resulting fibrous materials. For instance, it was shown that increasing the voltage or decreasing the NCD in electrospinning polystyrene results in mats with thicker fibers but smaller dimensionless thickness (or lower porosities), in agreement with experimental observations reported in the literature. In addition to serving as a characterization tool for the electrospun materials, the computational model developed in this work can be used to create accurate representations of the surface morphology or the internal geometry of fibrous materials used in a variety of applications, such as particle filtration or droplet separation.
- 1 January 2017
- Published by Springer Nature in Journal of Central South University
- Vol. 24 (1) , 104-113
Reliability-based robust multi-objective optimization of a 5-DOF vehicle vibration model subjected to random road profiles
- 1 January 2017
- Published by Springer Nature in Journal of Central South University
- Vol. 24 (1) , 104-113
Reliability-based robust multi-objective optimization of a 5-DOF vehicle vibration model subjected to random road profiles
- 1 October 2014
- Published by Elsevier in Fire Safety Journal
- Vol. 69, 111-116
Modeling flame propagation of micron-sized iron dust particles in media with spatially discrete sources
- 1 October 2014
- Published by Elsevier in Fire Safety Journal
- Vol. 69, 111-116
Modeling flame propagation of micron-sized iron dust particles in media with spatially discrete sources