Open AccessResearch on Catalyst Selection Based on Simulated Annealing Algorithm
Author(s) -
Xingyu Chen,
Mingdong Dong,
Long Liu
Publication year - 2021
Publication title -
xue xi yu jiao yu
Language(s) - English
Resource type - Journals
ISSN - 2251-2802
DOI - 10.18282/l-e.v10i3.2391
Subject(s) - olefin fiber , annealing (glass) , simulated annealing , catalysis , yield (engineering) , regression analysis , algorithm , materials science , regression , selection (genetic algorithm) , computer science , biological system , mathematics , chemistry , statistics , organic chemistry , artificial intelligence , machine learning , composite material , biology
In this paper,the effect of catalyst selection on C4 olefin yield was studied based on simulated annealing algorithm.Firstly,using the processed data,through the influence model of different components of the catalyst and the combination method of multiple linear regression,the comprehensive influence model of the catalyst on the yield of C4 olefins is obtained.Then,through the simulated annealing algorithm,it is found that when t=405℃,the C4 olefin yield reaches the highest,52.92%.Finally,when the reaction temperature needs to be less than 350℃,it is found that when t=350℃,the C4 olefin yield reaches the highest,20.79%.