电化学原位产生H2O2的影响因素分析及数学建模

以Pt为阳极,石墨碳棒为阴极,Na2SO4为支持电解质,实验探讨了电化学原位产生H2O2的规律.通过正交试验,确定阴极溶液初始pH值、电流密度CD、通氧流量Q和支持电解质浓度CNa2SO4等主要参数对H2O2产生量的影响,并提出最佳参数组合:pH=2.00,CD=1.02mA·cm-2,Q=0.4L·min-1,CNa2SO4=0.1 mol·L-1,极间距D=6cm.采用二次多项式逐步回归和BP神经元网络2种方法,建立了这些参数对于H2O2产生量的预测模型,并对模型进行检验.结果表明,2种方法在一定参数条件下都可预测阴极区溶液中H2O2浓度,BP神经元网络法预测的准确度好于二次多项式逐步回归方法,且更适合于在线控制.

Influencing factors and mathematic models of H2O2 in-situ generated electro-chemically

In an electrochemical reactor using Pt as anode, graphite as cathode and Na_ 2 SO_ 4 as supporting electrolyte, the in situ generation of H_ 2 O_ 2 electrochemically was investigated. According to the orthogonal test, the main influencing factors on the H_ 2 O_ 2 generation, including pH, current density, oxygen flow and concentration of supporting electrolyte, were quantified, and the optimal combination of these factors was proposed. Then, two methods including regression analysis and BP artificial neural net works, were employed to model the H_ 2 O_ 2 generation that including the influencing factors. Also the models were evaluated, and the results showed that the H_2O_2 concentration of the cathode region could be predicated under certain conditions by both of the mathematic models. Moreover, the prediction accuracy of BP artificial neural net works was higher than that of regression analysis, and the former was more feasible to apply in on-line control system.