Prediction of Coal Ash Fusion Temperature by Least-Squares Support Vector Machine Model
Author:
Affiliation:
1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
Publisher
American Chemical Society (ACS)
Subject
Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Link
https://pubs.acs.org/doi/pdf/10.1021/ef100138f
Reference33 articles.
1. Influence of mineral and chemical composition of coal ashes on their fusibility
2. Prediction of ash deposition on superheater tubes from pulverized coal combustion
3. Correlation of ash behaviour in power stations using the improved ash fusion test
4. Coal ash composition as a function of feedstock composition
5. The prediction of behaviour of ashes from five different solid fuels in fluidised bed combustion
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