Predicting the amount of coke deposition on catalyst pellets through image analysis and soft computing-Reference-Cited by-同舟云学术

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Predicting the amount of coke deposition on catalyst pellets through image analysis and soft computing

Published:2016-09-20 Issue:11 Volume:27 Page:114006
ISSN:0957-0233
Container-title:Measurement Science and Technology
language:
Short-container-title:Meas. Sci. Technol.

Author:

Zhang Jingqiong,Zhang Wenbiao,He Yuting,Yan Yong

Funder

National Natural Science Foundation of China

Chinese Ministry of Science and Technology

Chinese Ministry of Education

Fundamental Research Funds for the Central Universities

Beijing Natural Science Foundation

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Link

http://stacks.iop.org/0957-0233/27/i=11/a=114006/pdf

Reference27 articles.

1. Control of selectivity in heterogeneous catalysis by tuning nanoparticle properties and reactor residence time

2. Deactivation and regeneration of a naphtha reforming catalyst

3. Effect of coke deposition upon pore structure and self-diffusion in deactivated industrial hydroprocessing catalysts

4. The role of coke deposition in the conversion of methanol to olefins over SAPO-34

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