Topology Optimization of Monolithic Catalyst Support in Steam Methane Reformer Using Genetic Algorithm (2020)
View/ Open
Type of Content
Conference Contributions - OtherCollections
Citation
Erfani N, Fee C, Watson M (2020). Topology Optimization of Monolithic Catalyst Support in Steam Methane Reformer Using Genetic Algorithm. Brisbane, Australia: Chemeca 2020. 27/09/2020-30/09/2020.This citation is automatically generated and may be unreliable. Use as a guide only.
ANZSRC Fields of Research
40 - Engineering::4004 - Chemical engineering::400408 - Reaction engineering (excl. nuclear reactions)34 - Chemical sciences::3406 - Physical chemistry::340601 - Catalysis and mechanisms of reactions
34 - Chemical sciences::3407 - Theoretical and computational chemistry::340701 - Computational chemistry
Rights
All rights reserved unless otherwise statedRelated items
Showing items related by title, author, creator and subject.
-
Monolithic substrate support catalyst design considerations for steam methane reforming operation
Baharudin L; Watson MJ (2017)This paper reviews the research undertaken to study the design criteria that address the monolithic support structure requirements in steam reforming operation for the effective mass transfer of process gases to the active ... -
Potential of metal monoliths with grown carbon nanomaterials as catalyst support in intensified steam reformer: a perspective
Baharudin L; Yip ACK; Golovko V; Watson M (2018)A monolithic catalytic support is potentially a thermally effective system for application in an intensified steam reforming (SR) process. In contrast to ceramic analogues, metal monoliths exhibit better mechanical ... -
On validating the hypothetical activity of hexameric copper nanocluster catalysts in a CO conversion reaction (CO oxidation)
Baharudin L; Yip, Alex; Golovko V; Watson M (2018)