Open AccessPrediction method of coal slagging property in layer-fired boiler
Author(s) -
Zhao Wang,
Songsong Zhang,
Guo Li,
Guoli Qi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/721/1/012003
Subject(s) - chlorine , boiler (water heating) , coal , char , materials science , gangue , metallurgy , softening point , environmental science , waste management , mineralogy , chemistry , composite material , engineering
In this article, different coal samples are selected and their physicochemical properties are analyzed. Study and comprehensively analyze various factors affecting slagging. Prediction of coal slagging properties using 12 influencing factors, include: softening temperature, the difference between deformation temperature and flow temperature, characteristic of char residue, sodium oxide content, silicon ratio, silica-alumina ratio, iron-calcium ratio, acid-base oxide ratio, sulfur slagging index, contamination index, chlorine content, inorganic mineral content. The fuzzy clustering analysis method was used to classify and quantify all the influencing factors, and the coal slagging prediction method of layer fired boiler was proposed and verified by application.