3D reconstruction of carbon nanotube networks from neutron scattering experiments. (25th September 2015)
- Record Type:
- Journal Article
- Title:
- 3D reconstruction of carbon nanotube networks from neutron scattering experiments. (25th September 2015)
- Main Title:
- 3D reconstruction of carbon nanotube networks from neutron scattering experiments
- Authors:
- Mahdavi, Mostafa
Baniassadi, Majid
Baghani, Mostafa
Dadmun, Mark
Tehrani, Mehran - Abstract:
- <abstract> <title>Abstract</title> <p>Structure reconstruction from statistical descriptors, such as scattering data obtained using x-rays or neutrons, is essential in understanding various properties of nanocomposites. Scattering based reconstruction can provide a realistic model, over various length scales, that can be used for numerical simulations. In this study, 3D reconstruction of a highly loaded carbon nanotube (CNT)-conducting polymer system based on small and ultra-small angle neutron scattering (SANS and USANS, respectively) data was performed. These light-weight and flexible materials have recently shown great promise for high-performance thermoelectric energy conversion, and their further improvement requires a thorough understanding of their structure-property relationships. The first step in achieving such understanding is to generate models that contain the hierarchy of CNT networks over nano and micron scales. The studied system is a single walled carbon nanotube (SWCNT)/poly (3, 4-ethylenedioxythiophene):poly (styrene sulfonate) (PEDOT:PSS). SANS and USANS patterns of the different samples containing 10, 30, and 50 wt% SWCNTs were measured. These curves were then utilized to calculate statistical two-point correlation functions of the nanostructure. These functions along with the geometrical information extracted from SANS data and scanning electron microscopy images were used to reconstruct a representative volume element (RVE) nanostructure. Generated<abstract> <title>Abstract</title> <p>Structure reconstruction from statistical descriptors, such as scattering data obtained using x-rays or neutrons, is essential in understanding various properties of nanocomposites. Scattering based reconstruction can provide a realistic model, over various length scales, that can be used for numerical simulations. In this study, 3D reconstruction of a highly loaded carbon nanotube (CNT)-conducting polymer system based on small and ultra-small angle neutron scattering (SANS and USANS, respectively) data was performed. These light-weight and flexible materials have recently shown great promise for high-performance thermoelectric energy conversion, and their further improvement requires a thorough understanding of their structure-property relationships. The first step in achieving such understanding is to generate models that contain the hierarchy of CNT networks over nano and micron scales. The studied system is a single walled carbon nanotube (SWCNT)/poly (3, 4-ethylenedioxythiophene):poly (styrene sulfonate) (PEDOT:PSS). SANS and USANS patterns of the different samples containing 10, 30, and 50 wt% SWCNTs were measured. These curves were then utilized to calculate statistical two-point correlation functions of the nanostructure. These functions along with the geometrical information extracted from SANS data and scanning electron microscopy images were used to reconstruct a representative volume element (RVE) nanostructure. Generated RVEs can be used for simulations of various mechanical and physical properties. This work, therefore, introduces a framework for the reconstruction of 3D RVEs of high volume faction nanocomposites containing high aspect ratio fillers from scattering experiments.</p> </abstract> … (more)
- Is Part Of:
- Nanotechnology. Volume 26:Number 38(2015)
- Journal:
- Nanotechnology
- Issue:
- Volume 26:Number 38(2015)
- Issue Display:
- Volume 26, Issue 38 (2015)
- Year:
- 2015
- Volume:
- 26
- Issue:
- 38
- Issue Sort Value:
- 2015-0026-0038-0000
- Page Start:
- 1437
- Page End:
- 1449
- Publication Date:
- 2015-09-25
- Subjects:
- Nanotechnology -- Periodicals
Nanotechnology -- Periodicals
Nanotechnology
Publications périodiques
Nanotechnologies
Periodicals
620.5 - Journal URLs:
- http://www.iop.org/Journals/na ↗
http://iopscience.iop.org/0957-4484/ ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/0957-4484/26/38/385704 ↗
- Languages:
- English
- ISSNs:
- 0957-4484
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3980.xml