MODELING OF OXIDATIVE COUPLING OF METHANE OVER MN/NA2WO4/SIO2 CATALYST USING ARTIFICIAL NEURAL NETWORK

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

EHSANI MOHAMMAD REZA; BATENI HAMED; RAZI PARCHIKOLAEI GHAZAL

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Chemistry and Chemical Engineering Year:2013 | Volume:32 | Issue:3 (67) Page(s): 107-114

Download Full-Text

View:

406

Download:

188

Cites:

Information Journal Paper

Title

MODELING OF OXIDATIVE COUPLING OF METHANE OVER MN/NA2WO4/SIO2 CATALYST USING ARTIFICIAL NEURAL NETWORK

Author(s)

EHSANI MOHAMMAD REZA | BATENI HAMED | RAZI PARCHIKOLAEI GHAZAL | Issue Writer Certificate

Keywords

OXIDATIVE COUPLING OF METHANE (OCM)

MN/NA2WO4/SIO2 CATALYST

PRINCIPAL COMPONENTS

ARTIFICIAL NEURAL NETWORK (ANN)

Abstract

In this article, the effect of operating conditions, such as temperature, Gas Hourly Space Velocity (GHSV), CH4 /O2 ratio and diluents gas (mol% N2) on ethylene production by Oxidative Coupling of Methane (OCM) in a fixed bed reactor at atmospheric pressure was studied over Mn/Na2WO4 /SiO2 catalyst. Based on the properties of neural networks, an artificial neural network was used for model development from experimental data. In order to prevent network complexity and effective data input to network, principal component analysis method was used and the numbers of output parameters were reduced from 4 to 2. A feed-forward back-propagation network was used for simulating the relations between process operating conditions and aspects of catalytic performance, which include conversion of methane, C2+ products selectivity, yield of C2+ and C2H4 /C2H6 ratio. Levenberg– Marquardt method is presented to train the network. For first output, optimum network with 4-9-1 topology and for second output, optimum network with 4-6-1 topology was prepared.

Cites

References

Cite

APA: Copy

EHSANI, MOHAMMAD REZA, BATENI, HAMED, & RAZI PARCHIKOLAEI, GHAZAL. (2013). MODELING OF OXIDATIVE COUPLING OF METHANE OVER MN/NA₂WO₄/SIO₂ CATALYST USING ARTIFICIAL NEURAL NETWORK. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), 32(3 (67)), 107-114. SID. https://sid.ir/paper/619740/en

Vancouver: Copy

EHSANI MOHAMMAD REZA, BATENI HAMED, RAZI PARCHIKOLAEI GHAZAL. MODELING OF OXIDATIVE COUPLING OF METHANE OVER MN/NA₂WO₄/SIO₂ CATALYST USING ARTIFICIAL NEURAL NETWORK. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE)[Internet]. 2013;32(3 (67)):107-114. Available from: https://sid.ir/paper/619740/en

IEEE: Copy

MOHAMMAD REZA EHSANI, HAMED BATENI, and GHAZAL RAZI PARCHIKOLAEI, “MODELING OF OXIDATIVE COUPLING OF METHANE OVER MN/NA₂WO₄/SIO₂ CATALYST USING ARTIFICIAL NEURAL NETWORK,” IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), vol. 32, no. 3 (67), pp. 107–114, 2013, [Online]. Available: https://sid.ir/paper/619740/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops