Neural network modelling of coal pyrolysis

M.Carsky; D.K.Kuwornoo

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Neural network modelling of coal pyrolysis

机译：煤热解的神经网络建模

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Yields of coal pyrolysis products obtained by four different techniques of pyrolysis were modelled using neural network analysis. Coals from five different sources were considered in this study. The modelling focused on effects as diverse as holding time of particles in bed, residence time of volatiles in frreborard, peak reaction zone temperature, pressure, pre-heating time of coal particles, rate of heating, secondary reactions in freeboard and bed, type of reactor, particle size, concentration of coal particles, bed depth, sample size, coal type, type of inert and type of carrier and its flow rate.

机译：使用神经网络分析对通过四种不同的热解技术获得的煤热解产物的收率进行建模。这项研究考虑了来自五个不同来源的煤炭。该模型着重于各种影响，例如颗粒在床中的停留时间，挥发物在Freborard中的停留时间，峰值反应区温度，压力，煤颗粒的预热时间，加热速率，干舷和床中的二次反应，反应器，粒度，煤颗粒浓度，床层深度，样品尺寸，煤类型，惰性类型和载体类型及其流速。

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来源
《Fuel》 |2001年第7期|p.1021-1027|共7页
作者
M.Carsky; D.K.Kuwornoo;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类燃料化学工业（总论）;热力工程、热机;
关键词
Coal; Pyrolysis; Neural network;

机译：煤;热解;神经网络;

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机译：作者：郝建军，王建华，煤矿安

Neural network modelling of coal pyrolysis

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