JOURNAL ARTICLE

Controllable Preparation and Mechanism Study of Easy‐Peel High‐Density and Vertically Aligned Carbon Nanotube Forests.

  • Published In: Physica Status Solidi. A: Applications & Materials Science, 2024, v. 221, n. 14. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wan, Sheng; Xu, Lu; Yan, Yongjie; Ni, Qi; Feng, Qingqing; Ni, Qingqing 3 of 3

Abstract

The stripping of carbon nanotube forests (CNTF) is an urgent problem in terms of its application in thermal management and semiconductor devices. The easy‐peel and vertically aligned CNTF is prepared in a two‐step process of high vacuum magnetron sputtering and chemical vapor deposition. Based on the thick alumina buffer layer, CNTF with heights of 100 μm, 300 μm, and 500 μm was prepared by adjusting the magnetron sputtering power. Through SEM observation and calculation, the corresponding densities were 2.5 × 109 cm−2, 6.4 × 109 cm−2, and 1.21 × 1010 cm−2, with an average curvature of 1.64 × 102 m−1, 1.35 × 102 m−1 and 0.53 × 102 m‐−1, respectively. The TEM, XPS, Raman, and TGA were used to investigate the growth mechanism of CNTF. The experimental results show that the catalyst particles annealed under high sputtering power refined with high density can grow a low‐defect, well‐oriented, and high‐density CNTF, and confirm the tip growth route. Further analysis shows that the easy‐peel properties of CNTF depend on the thickness of the alumina layer, the tip growth route, and the tight entanglement between the nanotubes. This paper provides technical guidance and support for the preparation, stripping, and application of monolithic CNTF. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Physica Status Solidi. A: Applications & Materials Science. 2024/07, Vol. 221, Issue 14, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2024
  • ISSN:1862-6300
  • DOI:10.1002/pssa.202400049
  • Accession Number:178532233
  • Copyright Statement:Copyright of Physica Status Solidi. A: Applications & Materials Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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