• 文献标题:   TOPSIS based Taguchi design optimization for CVD growth of graphene using different carbon sources: Graphene thickness, defectiveness and homogeneity
  • 文献类型:   Article
  • 作  者:   SIMSEK B
  • 作者关键词:   graphene quality, chemical vapor deposition cvd, multiresponse optimization, topsis based taguchi method, statistical comparison
  • 出版物名称:   CHINESE JOURNAL OF CHEMICAL ENGINEERING
  • ISSN:   1004-9541 EI 2210-321X
  • 通讯作者地址:   Cankiri Karatekin Univ
  • 被引频次:   6
  • DOI:   10.1016/j.cjche.2018.08.004
  • 出版年:   2019

▎ 摘  要

Chemical inhomogeneity of chemical vapor deposition (CVD) grown graphene compromises its usage in high-performance devices. In this study, TOPSIS based Taguchi optimization was performed to improve thickness uniformity and defect density of CVD grown graphene. 1.56% decrease in themean 2D/G intensity ratio, 87.96% improvement in the mean D/G intensity ratio, 56.07% improvement in the standard deviation D/G intensity ratio, 25.21% improvement in the standard deviation 2D/G intensity ratio, and 69.32% improvement in the surface roughness were achieved with TOPSIS based Taguchi optimization. The statistical differences between the copper and silicon substrates have been found significantly in terms of their impacts on the graphene's properties with the 0.000 p-value for the mean D/G intensity ratio and with the 0.009 p-value for the mean 2D/G intensity ratio, respectively. Graphene having 11% lower mean D/G intensity ratio (low defective graphene products) compared to the values given in the literature using single-response optimization was obtained using multi-response optimization. (C) 2018 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights reserved.