Issue 85, 2017

Recycling and reuse of waste artificial turf via solid-state shear milling technology

Abstract

Nowadays, the amount of the artificial turf waste is very huge, as it has been applied widely. However, it is a great challenge to recycle and reuse waste artificial turf (WAT) because its components are complex and hard to separate. In this study, solid-state shear milling (S3M) technology was introduced to recycle WAT into composite powder with valuable properties through ultrafine milling of WAT at room temperature. The results showed that the WAT included 46.7 wt% PE, 8.7 wt% PP, 2.4 wt% PET, 16.1 wt% polyacrylate and 26.1 wt% inorganic infill. The results of SEM and ultra-depth three-dimensional (3D) microscopy indicated that the domain size of the recycled material became smaller with the increase of milling cycles. The domain size and the performance of the recycled material could be controlled by the particle size and the size distribution of the composite powder in the solid state. The dynamic mechanical analysis (DMA) and X-ray diffraction (XRD) patterns demonstrated that the S3M technology improved the compatibility between the components and effectively decreased the crystallite size of PE in WAT. The melt flow index and the high capillary rheology test indicated that the thermal processability of the recycling material became better through S3M milling. The tensile strength and the elongation at break of the recycling material reached 12.6 MPa and 96.3%, respectively. What's more, low-price wood–plastic products with good performance and appearance could be manufactured using the recycled materials.

Graphical abstract: Recycling and reuse of waste artificial turf via solid-state shear milling technology

Article information

Article type
Paper
Submitted
11 Oct 2017
Accepted
17 Nov 2017
First published
24 Nov 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 54117-54127

Recycling and reuse of waste artificial turf via solid-state shear milling technology

Q. Liu, P. He, S. Yang, S. Bai and W. Duan, RSC Adv., 2017, 7, 54117 DOI: 10.1039/C7RA11206H

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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