Literature DB >> 33535749

Magnetically Driven 3D Cellulose Film for Improved Energy Efficiency in Solar Evaporation.

Wentao Gan1, Yaoxing Wang1, Shaoliang Xiao1, Runan Gao1, Ying Shang1, Yanjun Xie2, Jiuqing Liu3, Jian Li2.   

Abstract

The architecture of cellulose nanomaterials is definitized by random deposition and cannot change in response to shifting application requirements. Herein, we present a magnetic field-controlled cellulose film derived from wood that exhibits great magnetic properties and reliable tunability enabled by incorporated Fe3O4 nanoparticles and cellulose nanofibers (CNF) with a large length-diameter ratio. Fe3O4 nanoparticles are dispersed in suspensions of CNF so as to enhance the magnetic response. The plane magnetic CNF can be processed to form a three-dimensional (3D) flower-like structure along the magnetic induction line after applying an external magnet. Inspired by the fluidic transport in natural flowers, a bilayer structure was created using the 3D flower-like film as the solar energy receiver and natural wood as the water pathway in a solar-derived evaporation system. Compared with a planar cellulose film decorated with Fe3O4, the 3D structure design can greatly improve the evaporation rate from 1.19 to 1.39 kg m-2 h-1 and the efficiency from 76.9 to 90.6% under 1 sun. Finite element molding further reveals that the 3D structural top layer is beneficial for the formation of a gradient temperature profile and the improvement of the energy efficiency through the reduction of thermal radiation. The magnetically controlled fabrication represents a promising strategy for designing cellulose nanomaterials with a complicated structure and controllable topography, which has a wide spectrum of applications in energy storage devices and water treatment.

Entities:  

Keywords:  bionics; cellulose nanofibers; magnetic film; solar desalination; stimuli-response

Year:  2021        PMID: 33535749     DOI: 10.1021/acsami.0c21384

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

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Authors:  Muhammad Javed; Sippi Pirah; Yonghe Xiao; Yilan Sun; Yating Ji; Muhammad Zubair Nawaz; Zaisheng Cai; Bi Xu
Journal:  ACS Omega       Date:  2021-12-09

2.  Effect of Multichannel Convolutional Neural Network-Based Model on the Repair and Aesthetic Effect of Eye Plastic Surgery Patients.

Authors: 
Journal:  Comput Math Methods Med       Date:  2022-09-01       Impact factor: 2.809

  2 in total

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