Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6656354 | Fuel Processing Technology | 2018 | 12 Pages |
Abstract
The neural network model shows in average a higher accuracy of predicting ash fusion behavior from ash composition covering also temperatures of initial deformation and fluidity and appears as a suitable alternative to the thermodynamic calculation if sufficient data are available (i.e. covering the coal ash composition range of interest).
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Thulasi Sasi, Moein Mighani, Evrim Ãrs, Ruchika Tawani, Martin Gräbner,