• DocumentCode
    2132718
  • Title

    Experimental optimization of parameter design for generation of hydrogen/oxygen mixtures by water electrolysis

  • Author

    San-Jen Lee ; Jean, Ming-Der

  • Author_Institution
    Dept. of Sports, Health & Leisure, Yung-Ta Inst. of Technol. & Commerce, Ping-Tung, Taiwan
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    3243
  • Lastpage
    3246
  • Abstract
    In this work, we report the study of the efficient hydrogenoxygen generation on different stainless steel electrodes in the electrolytes (NaOH and HNO3). The eight control factors based on L18 arrays were conducted and the flow rate properties of the hydrogenoxygen generation were evaluated in the experiments. Based on analysis of Taguchi method, the signalnoise ratio is utilized and the optimal settings have been identified. In addition, the flow rate behavior of hydrogenoxygen generation by water electrolysis was studied by Ritter volumetric meters. The experimental results obtained show that Taguchi design is used not only for predicted optimal process parameters for achieving the desired quality but for process optimization.
  • Keywords
    Taguchi methods; carbon compounds; chromium compounds; electrodes; electrolysis; hydrogen; hydrogen compounds; hydrogen production; iron compounds; nitrogen compounds; oxygen; oxygen compounds; sodium compounds; stainless steel; H-O; HNO3; L18 arrays; NaOH; Ritter volumetric meters; Taguchi method; electrolytes; mixtures generation; parameter design optimization; process optimization; stainless steel electrodes; water electrolysis; Decision support systems; Electrochemical processes; Hydrogen; Optimization; Oxygen; Signal to noise ratio; Steel; Hydrogen/Oxygen Generation; Optimization; Water Electrolysis; experimental design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4577-1414-6
  • Type

    conf

  • DOI
    10.1109/CECNet.2012.6202205
  • Filename
    6202205