Enhanced photocatalytic performance of highly dispersed TiO_2 Nanosheets with high percent (001) face in acid solution

摘要

This study has developed several multivariate regression models to forecast pulverized coal ignition temperature based on plenty of pulverized coal ignition experiments by using coal property parameters from proximate analysis and calorific value. Comparing the models a satisfied model with high accuracy has been achieved. It has been found that multivariate regression method is useful and accurate for establishing ignition temperature calculation formula. The optimum model can be used to predict pulverized coal ignition temperature and determine coal ignition characteristics.