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傅立叶变换中红外漫反射光谱法定量检测褐煤的六个关键指标
引用本文:武中臣,熊智新,张淑宁,王海东,张鹏彦,贾滨,贺守波,高虎,杨田林.傅立叶变换中红外漫反射光谱法定量检测褐煤的六个关键指标[J].岩矿测试,2008,27(5):346-348.
作者姓名:武中臣  熊智新  张淑宁  王海东  张鹏彦  贾滨  贺守波  高虎  杨田林
作者单位:1. 山东大学威海分校空间科学与应用物理系,山东,威海,264209
2. 南京林业大学化学工程学院,江苏,南京,210037
3. 山东威海新力热电有限公司,山东,威海,264200
摘    要:采用傅立叶变换中红外漫反射光谱法同时对褐煤中的内水分、挥发分、含硫量、高位发热量、低位发热量和折合率6个指标进行了基于最小二乘法(PLS)的定量分析。结果显示,内水分、挥发分、含硫量、高位发热量、低位发热量和折合率的相对误差分别为3.4%、2.0%、4.0%、1.4%、2.5%和2.2%,得到了满意的预测结果。采用中红外光谱分析的方式实现了一种快速分析煤炭品质的新方法,为工业在线分析煤炭品质论证了可行性。

关 键 词:傅立叶变换中红外光谱法  褐煤  水分  挥发分  含硫量  发热量
收稿时间:2/1/2008 12:00:00 AM
修稿时间:2008/3/24 0:00:00

Quantitative Analysis of Six Key Properties of Brown Coal by Diffuse Reflection Fourier Transform Middle-Infrared Spectrometry
WU Zhong-chen,XIONG Zhi-xin,ZHANG Shu-ning,WANG Hai-dong,ZHANG Peng-yan,JIA Bin,HE Shou-bo,GAO Hu and YANG Tian-lin.Quantitative Analysis of Six Key Properties of Brown Coal by Diffuse Reflection Fourier Transform Middle-Infrared Spectrometry[J].Rock and Mineral Analysis,2008,27(5):346-348.
Authors:WU Zhong-chen  XIONG Zhi-xin  ZHANG Shu-ning  WANG Hai-dong  ZHANG Peng-yan  JIA Bin  HE Shou-bo  GAO Hu and YANG Tian-lin
Institution:Deparment of Space Science and Applied Physics, Shandong University at Weihai;College of Chemical Engineering, Nanjing Forest University;Weihai Xinli Heat & Power Co., Ltd.;Weihai Xinli Heat & Power Co., Ltd.;Deparment of Space Science and Applied Physics, Shandong University at Weihai;Deparment of Space Science and Applied Physics, Shandong University at Weihai;Deparment of Space Science and Applied Physics, Shandong University at Weihai;Deparment of Space Science and Applied Physics, Shandong University at Weihai;Deparment of Space Science and Applied Physics, Shandong University at Weihai
Abstract:Diffuse reflection infrared Fourier transform spectrometry(DRIFTS) with middle-infrared range(MIR) has been used for determination of six key properties of brown coal samples including internal moisture,volatile matter,sulfur content,high calorific power,net calorific power and reduction coefficient,with satisfactory results.The relative errors for these six key properties are 3.4%,2.0%,4.0%,1.4%,2.5% and 2.2%,respectively.It provides a new method for rapid analysis and evaluation of coal quality.
Keywords:Fourier transform middle-infrared spectroscopy  brown coal    moisture  volatile matter  sulfur content  calorific power
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