The Influence of Synthesis Parameters on Vertically Aligned CNT Sheets: Empirical Modeling and Process Optimization Using Response Surface Methodology

被引:0
|
作者
Seyed Mohsen Hosseini
Vahid Pirouzfar
Hamed Azami
机构
[1] Islamic Azad University,Department of Chemical Engineering, North Tehran Branch
[2] Islamic Azad University,Young Researchers and Elite Club, Central Tehran Branch
[3] University of Bojnord,Department of Chemical Engineering, Faculty of Engineering
来源
关键词
Vertically aligned CNT sheets; Full factorial design; Operating time and temperature; Modeling; Optimization;
D O I
暂无
中图分类号
学科分类号
摘要
In the present work, vertically aligned carbon nanotube (VA-CNT) sheets were synthesized via pyrolysis of polybenzimidazole (PBI)–Kapton inside the pores of anodized aluminum oxide (AAO). The synthesized VA-CNT sheets were then evaluated for the desalination of salty water. The results indicated that the VA-CNT sheets were effective for application as an adsorbent for desalination of salty water due to their high adsorption capacity, with no loss of CNTs in the treated water. This study explored the impact of operating time and temperature on liquid adsorption performance through optimization and modeling methods. An empirical model was developed through the evolution of a full factorial design process which considered two significant factors for enhanced antibacterial efficiency and adsorption uptake. The highest antibacterial efficiency was achieved with carbon precursors synthesized at a higher temperature. However, optimal values were obtained for both antibacterial efficiency and adsorption uptake (NaCl) with a combination of CNT membranes. The best conditions for such a membrane were 800 °C and 18 min. Under these conditions, antibacterial efficiency, contact angle, carbon content, adsorption uptake (NaCl = 10,000) and adsorption uptake (NaCl = 20,000) were 90.079, 1.69256, 75.213, 76.2352 and 0.997, respectively.
引用
收藏
页码:651 / 661
页数:10
相关论文
共 50 条
  • [41] Polyhydroxybutyrate Accumulation in Bacillus megaterium and Optimization of Process Parameters Using Response Surface Methodology
    Bora, Limpon
    JOURNAL OF POLYMERS AND THE ENVIRONMENT, 2013, 21 (02) : 415 - 420
  • [42] Optimization of Process Parameters of Helical Grooved Heat pipe Using Response Surface Methodology
    Nookaraju, B. Ch.
    Kurmarao, P. S. V.
    Nagasarada, S.
    Karthikeyan, R.
    Vinay, A.
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) : 5262 - 5271
  • [43] Optimization on Rubber Seed Oil Epoxidation Process Parameters Using Response Surface Methodology
    Nwosu-Obieogu, Kenechi
    Aguele, Felix Osarumehnsen
    Chiemenem, Linus
    IRANIAN JOURNAL OF CHEMISTRY & CHEMICAL ENGINEERING-INTERNATIONAL ENGLISH EDITION, 2021, 40 (05): : 1575 - 1583
  • [44] Empirical Modeling of Machining Parameters during WEDM of Inconel 690 using Response Surface Methodology
    Aggarwal, Vivek
    Singh, Jujhar
    Sharma, Shubham
    Sharma, Abhinav
    Singh, Gursharan
    Parshad, Jwala
    THIRD INTERNATIONAL CONFERENCE ON INVENTIVE MATERIAL SCIENCE APPLICATIONS (ICIMA 2020), 2020, 2281
  • [45] Optimization of Process Parameters Using Response Surface Methodology for Enrichment of Rice Bran Oil
    Eswaraiah, C.
    SEPARATION SCIENCE AND TECHNOLOGY, 2015, 50 (14) : 2147 - 2154
  • [46] Optimization of process parameters for degradation of HMX with Bacillus toyonensis using response surface methodology
    A. Meda
    P. Sangwan
    K. Bala
    International Journal of Environmental Science and Technology, 2020, 17 : 4601 - 4610
  • [47] Modeling of Process Parameters of Gelcast Fused Silica Ceramics using Response Surface Methodology
    Kandi, Kishore Kumar
    Rao, C. S. P.
    MATERIALS TODAY-PROCEEDINGS, 2017, 4 (02) : 1708 - 1715
  • [48] MODELING AND OPTIMIZATION OF PROCESS PARAMETERS OF THE PISTON ALLOY-BASED COMPOSITE PRODUCED BY FSP USING RESPONSE SURFACE METHODOLOGY
    Akbari, M.
    Asadi, P.
    Aliha, M. R. M.
    Berto, F.
    SURFACE REVIEW AND LETTERS, 2023, 30 (06)
  • [49] Mathematical modeling and FDM process parameters optimization using response surface methodology based on Q-optimal design
    Mohamed, Omar Ahmed
    Masood, Syed Hasan
    Bhowmik, Jahar Lal
    APPLIED MATHEMATICAL MODELLING, 2016, 40 (23-24) : 10052 - 10073
  • [50] Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches
    Pauline Ong
    Desmond Daniel Vui Sheng Chin
    Choon Sin Ho
    Chuan Huat Ng
    Neural Computing and Applications, 2018, 29 : 1077 - 1087