Optimization of zinc sulfide thin film coating process using response surface methodology

被引:20
|
作者
Yucel, Ersin [1 ]
Yucel, Yasin [2 ]
机构
[1] Mustafa Kemal Univ, Fac Arts & Sci, Dept Phys, TR-31034 Antakya, Hatay, Turkey
[2] Mustafa Kemal Univ, Fac Arts & Sci, Dept Chem, TR-31034 Antakya, Hatay, Turkey
关键词
ELECTROLUMINESCENT DEVICE; DEPOSITION; PARAMETERS; LAYER; PH;
D O I
10.1007/s10854-014-2383-3
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Zinc sulfide (ZnS) thin films have been deposited on glass substrates at room temperature using chemical bath deposition method. Application of response surface methodology and central composite design for optimizing the ZnS films deposition parameters and understanding the significance and interaction of the factors affecting the film quality was discussed in this work. pH, stirring speed and deposition time were investigated as variables and band gap was selected as response in this study. The samples were characterized using X-Ray diffraction, scanning electron microscope and ultraviolet-visible spectroscopy measurements. The optimal conditions for the deposition parameters of the ZnS thin films have been found to be: pH of 10.1, stirring speed of 163 rpm and deposition time of 31 h. Under these conditions, the experimental band gap of ZnS was 3.95 eV, which is well in close agreement with value (3.97 eV) predicted by the model.
引用
收藏
页码:196 / 203
页数:8
相关论文
共 50 条
  • [1] Optimization of zinc sulfide thin film coating process using response surface methodology
    Ersin Yücel
    Yasin Yücel
    Journal of Materials Science: Materials in Electronics, 2015, 26 : 196 - 203
  • [2] Optimization of Composite Coating Film for Optimal Color Protection Process of Scraped Ginger by Response Surface Methodology
    Tong M.
    Li P.
    Zhang W.
    Yu H.
    Wu D.
    Science and Technology of Food Industry, 2023, 44 (24) : 175 - 182
  • [3] Leaching zinc from spent catalyst: Process optimization using response surface methodology
    Zhang, Zhengyong
    Peng, Jinhui
    Srinivasakannan, C.
    Zhang, Zebiao
    Zhang, Libo
    Fernandez, Y.
    Menendez, J. A.
    JOURNAL OF HAZARDOUS MATERIALS, 2010, 176 (1-3) : 1113 - 1117
  • [4] Optimization of Flotation Process of Zinc Oxide Ore by Response Surface Methodology
    Li, Mingxiao
    Liu, Fengxiang
    Wang, Xuewu
    Wang, Gang
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND INFORMATION TECHNOLOGY APPLICATIONS, 2015, 28 : 1000 - 1004
  • [5] Optimization of process parameters in mixed sulfide oxidation bacterial culture using response surface methodology as a tool
    Ahmad, Mani Malam
    Azoddein, Abd. Aziz Mohd
    Zahari, Mior Ahmad Khushairi Mohd
    bin Abu Seman, Mazrul Nezam
    Jami, Mohammed Saedi
    Olalere, Olusegun Abayomi
    Alara, Oluwaseun Ruth
    JOURNAL OF KING SAUD UNIVERSITY SCIENCE, 2019, 31 (04) : 836 - 843
  • [6] Process parameters optimization to maximize surface roughness using response surface methodology of TiC thin film grown by radio frequency magnetron sputtering
    Olayinka, Abegunde
    Esther, Akinlabi
    Philip, Oladijo
    MATERIALS TODAY-PROCEEDINGS, 2021, 44 : 1221 - 1226
  • [7] Optimization of Process Variables for Insulation Coating of Conductive Particles by Response Surface Methodology
    Sim, Chol-Ho
    KOREAN CHEMICAL ENGINEERING RESEARCH, 2016, 54 (01): : 44 - 51
  • [8] A study on parametric optimization of Micro-electrical discharge coating process using response surface methodology
    Mohanty, Shalini
    Bhushan, Brij
    Das, Alok Kumar
    Dixit, Amit Rai
    MATERIALS TODAY-PROCEEDINGS, 2021, 38 : 325 - 332
  • [9] Optimization of Zinc and Germanium Recovery Process from Zinc Oxide Dust by Response Surface Methodology
    Xu, Yingjie
    Xia, Hongying
    Zhang, Qi
    Cai, Wuchen
    Jiang, Guiyu
    Zhang, Libo
    CHEMISTRYSELECT, 2022, 7 (44):
  • [10] Process Parameter Optimization Using Response Surface Methodology for Turning
    Sharma, Vishal S.
    Chandrashekar, K.
    Dogra, Manu
    JOURNAL FOR MANUFACTURING SCIENCE AND PRODUCTION, 2006, 7 (3-4) : 229 - 241