Catalytic oxidation of 2-Propanol over (Cr,Mn,Fe)-Pt/γ-Al 2 O 3 bimetallic catalysts and modeling of experimental results by artificial neural networks

Catalytic oxidation of 2-Propanol over (Cr,Mn,Fe)-Pt/γ-Al 2 O 3 bimetallic catalysts and modeling of experimental results by artificial neural networks
复制标题

(Cr,Mn,Fe)-Pt/γ-Al 2 O 3 双金属催化剂催化氧化 2-丙醇及人工神经网络实验结果建模

DOI:
--
复制
发表时间:
2010
期刊:
Journal of Environmental Science and Health. Part A: Toxic/Hazardous Substances and Environmental Engineering
影响因子:
--
通讯作者:
A. Sepehrianazar
A. Sepehrianazar
中科院分区:
--
文献类型:
--
作者:
A. Niaei;D. Salari;F. Aghazadeh;N. Çaylak;A. Sepehrianazar

文献摘要

被引文献

相似文献

研究了负载在Pt/γ-Al2O3工业催化剂上的过渡金属(Cr、Mn、Fe)对2-丙醇完全氧化的催化活性。催化研究是在大气压下在固定床反应器中进行的。采用 X 射线衍射 (XRD)、扫描电子显微镜 (SEM)、透射电子显微镜 (TEM) 和 ICP-AES 技术对一系列催化剂进行了表征。结果表明,300°C 焙烧温度下的 Pt-Mn/γ-Al2O3 (3.88 wt.%Mn) 是最有前景的催化剂,这可能与锰负载量、Pt 和 Mn 之间良好的协同效应以及分散良好的双金属相有关。基于实验数据,建立了人工神经网络(ANN)模型来预测 Pt-Mn/γ-Al2O3 双金属催化剂的催化氧化过程的性能。为此,采用 Levenberg-Marquardt (LM) 学习算法通过实验室实验数据来训练模型。还将设计的 ANN 模型的预测结果与实验数据进行了比较。开发的模型可以描述不同条件下双金属催化剂的催化氧化。
The catalytic activity of transition metals (Cr,Mn,Fe) supported on the Pt/γ -Al2O3 industrial catalyst was investigated to bring about the complete oxidation of 2-Propanol. Catalytic studies were carried out under atmospheric pressure in a fixed bed reactor. X-ray diffraction (XRD), Scanning electron microscopy (SEM), Transmission electron microscopy (TEM) and ICP-AES techniques were used to characterize a series of catalysts. Results showed that the Pt-Mn/γ -Al2O3 (3.88 wt.%Mn) at calcination temperature of 300°C was the most promising catalyst based on activity, which might be contributed to the quantity of manganese loading, the favorable synergetic effects between Pt and Mn and the well-dispersed bimetallic phase. An artificial neural networks (ANN) model was developed to predict the performance of catalytic oxidation process over Pt-Mn/γ -Al2O3 bimetallic catalyst based on experimental data. For this purpose the Levenberg–Marquardt (LM) learning algorithm was employed to train the model by using laboratory experimental data. A comparison between the predicted results of the designed ANN model and experimental data was also conducted. The developed model can describe the catalytic oxidation over bimetallic catalysts under different conditions.