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首页> 外文期刊>Wear: an International Journal on the Science and Technology of Friction, Lubrication and Wear >Development of predictive model for fly-ash erosion phenomena in coal-burning boilers
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Development of predictive model for fly-ash erosion phenomena in coal-burning boilers

机译：燃煤锅炉飞灰侵蚀现象预测模型的建立

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摘要

The effects of ash particle physical properties and transport dynamics on the erosive wear of three different grades of low alloy steel, using three different power-station ash types, were determined in this study through experimental investigation. The study used a Taguchi fractional-factorial L27 DOE. The experimental data were used to derive a model for the prediction of erosion rates. The model incorporates the properties of the ash particles and the target metal surface, as well as the characteristics of ash particle motion in the form of the impingement velocity and the impingement angle. Given the availability of large number of experimental data, it became possible to predict the relationship between erosion loss and the factors influencing the rate of room-temperature erosion. Fly-ash particulate size and concentration, moisture and titania content, impact velocity and angle, duration of impact, and alloy surface roughness were determined to be first-order effects.
机译：在本研究中，通过实验研究，确定了灰分颗粒物性和输运动力学对使用三种不同电站灰分类型的三种不同等级低合金钢的侵蚀磨损的影响。该研究使用了田口分数阶L27 DOE。实验数据用于推导侵蚀速率预测模型。该模型以撞击速度和撞击角度的形式结合了灰烬颗粒和目标金属表面的特性以及灰烬颗粒运动的特征。考虑到大量实验数据的可用性，有可能预测侵蚀损失与影响室温侵蚀速率的因素之间的关系。粉煤灰的颗粒大小和浓度，水分和二氧化钛含量，撞击速度和角度，撞击持续时间以及合金表面粗糙度被确定为一级效应。

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