24 催化指數(shù)的定義及其相關(guān)性

2010中國新型煤化工發(fā)展及示范項(xiàng)目進(jìn)展論壇文集2010中國新型煤化工發(fā)展及示范項(xiàng)目進(jìn)展論壇文集催化指數(shù)的定義及其相關(guān)性張康華，梁建華，雷耀輝，彭靖，萬洋，史世莊（武漢科技大學(xué)化學(xué)工程與技術(shù)學(xué)院，湖北武漢430081）摘要：在總結(jié)國內(nèi)外不同方法的煤中灰成分催化指數(shù)定義的基礎(chǔ)上，通過對(duì)15種配合煤進(jìn)行試驗(yàn)，探討了不同方法的催化指數(shù)之間的相關(guān)性。結(jié)論表明，MBI、MCI、MMCI、MCIy四者之間的相關(guān)性良好，如MBI和MCI之間相關(guān)性系數(shù)為0.9894,MCIy和MBI之間相關(guān)性系數(shù)為0.9798,MCIy和MCI之間相關(guān)性系數(shù)為0.9984。在一定程度上，四者可以互換。關(guān)鍵詞：灰成分；催化指數(shù)；相關(guān)性Thedefinitionsofcatalyticindexofashcomponentof

Coking-coalandtheirinterrelationsZhangKanghua,LiangJianhua,LeiYaohui,PengJing,WanYang,ShiShizhuang

（CollegeofChemicalEngineeringandTechnology,WuhanUniversityofScienceandTechnology,Wuhan430081,China）Abstract：Summarizingtheinternationalanddomesticdifferentmethodsofthedefinitionsofcatalyticindexofashcomponentofcokingcoalandthroughtheexperimentwith15coalblends,discussedthecorrelationamongthevariousdefinitionsofcatalyticindex.TheresultsshowthatthereareverygoodcorrelativityamongMBI,MCI,MMCI,MCIY,forexample,thecorrelationcoefficientbetweenMBIandMCIis0.9894,thecorrelationcoefficientbetweenMCIYandMBIis0.9798,thecorrelationcoefficientbetweenMCIYandMCIis0.9984.Toacertainextent,thefourinterchangeable.Keywords：ashcomponent；catalyticindex；interrelation焦炭的灰成分對(duì)焦炭的熱性質(zhì)有著重要的影響［1］，不同煤種的灰成分不盡相同，為了充分地改善焦炭的反應(yīng)性和反應(yīng)后強(qiáng)度，就必須考慮灰成分的影響，而要考慮灰成分的影響就1必須將灰成分的影響量化。因此，不少學(xué)者都提出了灰成分催化指數(shù)的概念?；曳执呋笖?shù)指標(biāo)包括：MCI（礦物質(zhì)催化指數(shù)）、MBI（堿度指數(shù)）、Bash（堿度指數(shù)）、ACI（灰分催化指數(shù)）、AI（堿性指數(shù)）、CI（催化指數(shù)）、MMCI（礦物質(zhì)催化指數(shù)）等［2~5］。由于對(duì)各灰成分的催化作用順序的認(rèn)識(shí)不一，以及考慮的灰成分個(gè)數(shù)的不同，催化指數(shù)的構(gòu)成也不盡相同。本文選擇了15種配合煤進(jìn)行試驗(yàn)，探討了不同方法的煤中灰成分催化指數(shù)之間的相關(guān)性。1作者簡介：史世莊（1956—），男，武漢科技大學(xué)化學(xué)工程與技術(shù)學(xué)院，教授，E-mail:shisz1956@126.com

國內(nèi)外的研究概況1.1日本神戶鋼鐵公司的方法[6]日本神戶鋼鐵公司將焦炭的反應(yīng)性和反應(yīng)后強(qiáng)度歸因于煤化度(R)、粘結(jié)性max(MF)和灰分催化指數(shù)，并定義灰分催化指數(shù)為：NaO+KO+CaO+FeOTOC\o"1-5"\h\zRBS=2223。SiO+AlO2231.2日本鋼管(NKK)的方法日本鋼管將灰成分的催化指數(shù)稱為堿度指數(shù)Bash，并定義為:4FeO+KO

B=A2―32_。ashdSiO+AlO2231.3加拿大炭化研究協(xié)會(huì)(CCRA)的方法⑺加拿大炭化研究協(xié)會(huì)將灰成分的催化指數(shù)稱為堿度指數(shù)MBI，并定義為:NaO+KO+CaO+MgO+FeOMBI=A2223。d(100-V)(SiO+AlO)dom223美國內(nèi)陸鋼鐵公司的方法[8]美國內(nèi)陸鋼鐵公司先求出灰成分的堿性指數(shù)AL再將催化指數(shù)CI定義為:CI=9.64AL+14.04SNaO+KO+CaO+MgO+FeOTOC\o"1-5"\h\zAL=A2223。dSiO+AlO223我國寶鋼的方法[9]我國的寶山鋼鐵公司把礦物質(zhì)的催化指數(shù)MCI定義為：41.9KO+2.2NaO+1.6CaO+0.93MgO+FeOMCI=Am2223od(100-VM)(SiO+0.41AIO+2.5TiO)d2232鄭明東等人[5]2.85w(NaO)+1.9w(KO)2.85w(NaO)+1.9w(KO)+2.34w(BaC)+1.03w(CaO)+0.43w(MgO)+w(FeO)2223MMCI=100A、dw(SiO)+0.74w(AlO)+2.5w(TiO)該方法以權(quán)重的方式反映了各種礦物質(zhì)對(duì)2焦炭催化作用2的3大小。21.7其它方法[2]確定礦物質(zhì)催化指數(shù)、預(yù)測(cè)焦炭熱性質(zhì)的方法還有很多，但以楊俊和博士的方法最具代表性。在研究礦物質(zhì)對(duì)焦炭反應(yīng)性作用規(guī)律的基礎(chǔ)上，建立了礦物質(zhì)影響焦炭反應(yīng)性的礦物質(zhì)催化指數(shù)(MCI),并提出了煤的Vd和MCI是決定焦炭反應(yīng)性的兩個(gè)獨(dú)立變量，并據(jù)此建立了預(yù)測(cè)焦炭反應(yīng)性和反應(yīng)后強(qiáng)度的數(shù)學(xué)模型。礦物質(zhì)催化指數(shù)定義為：當(dāng)以煤中的灰分表達(dá)時(shí)：4FeO+1.85KO+2.2Na0+1.6CaO+1.91BaO+0.83MgO+0.9MnOMCI=Am―22d(100-V)(SiO+0.41A10+2.5TiO)d2232當(dāng)以焦炭中的灰分表達(dá)時(shí)：Fe0+1.85K0+2.2Na0+1.6CaO+1.91BaO+0.83MgO+0.9MnO/MCI=Aj2—322d(SiO+0.41A10+2.5TiO)2232式中：Am—煤的干基灰分，%；dAj—焦炭的干基灰分，%；dVd一煤的干基揮發(fā)分，％。d試驗(yàn)部分試驗(yàn)選用的15種配合煤煤樣基本參數(shù)和灰分組成見表1。表1配合煤煤樣基本性質(zhì)和灰分組成編煤樣基本參數(shù)/%灰分組成/%AdVdafSt,dSiO2Al2O3Fe?。？CaOMgOK2ONa?。TiO2MnOBaO19.6626.300.6147.4634.205.844.931.020.550.581.630.100.1029.6724.740.6147.7334.305.835.151.010.550.591.630.100.1139.4125.280.5847.6134.345.805.300.990.520.601.630.100.1249.4225.400.6147.9034.175.685.340.950.530.601.610.090.1459.9325.890.5747.6834.295.655.510.920.490.601.620.090.1569.5825.750.5947.8634.195.575.530.900.500.601.600.090.16710.2625.650.6247.9633.975.535.700.880.510.611.580.090.1789.4625.280.6248.0533.715.435.990.870.510.611.550.080.1999.3925.230.6448.2033.355.376.280.840.520.631.520.080.22109.5427.050.6247.4233.326.086.390.860.510.601.530.110.19119.0126.290.6247.3332.756.206.950.810.520.601.510.120.21129.1429.390.6846.7333.276.337.010.820.480.561.500.110.20139.5823.530.5947.6834.296.024.991.050.560.601.620.100.09149.1829.600.6846.6634.046.745.870.860.520.561.520.110.12159.9930.810.6246.7233.027.145.971.050.650.711.500.110.14

結(jié)果與討論根據(jù)不同方法的催化指數(shù)定義和表1中的數(shù)據(jù)，計(jì)算15種配和煤的催化指數(shù)計(jì)算結(jié)果見表2所示。表2催化指數(shù)計(jì)算結(jié)果編號(hào)RBSBashMBICIMCIMMCIMCIy10.14570.75590.020723.29790.03401.79620.034320.14780.75210.020623.48530.03381.82320.034230.14910.72570.020322.76570.03351.78970.033940.14800.71280.020223.05930.03341.78530.033850.14940.74380.021523.38280.03581.89480.036360.14870.70870.020623.02830.03431.82350.034970.15070.75640.022324.67610.03731.98210.037980.15340.68730.020823.66220.03491.86150.035590.15700.67820.021024.12580.03551.89790.0362100.16820.77870.023425.15250.03912.03050.0398110.17820.75610.023025.06090.03862.02060.0394120.17980.77800.024626.28800.04132.05420.0420130.14850.76900.020223.17790.03311.81350.0333140.16960.82590.023525.50270.03881.94410.0392150.18150.97590.028127.44860.04622.31080.0467對(duì)表2中的數(shù)據(jù)進(jìn)行分析，可得到以下回歸方程和相關(guān)性系數(shù)（R2）,見表3。表3回歸方程和相關(guān)性系數(shù)（R2）編號(hào)回歸方程相關(guān)性系數(shù)（R2）1B=3.3844RBS+0.2243ash0.39682MBI=0.1458RBS-0.0010.76953CI=95.831RBS+9.09740.84274MCI=0.2481RBS-0.00270.80735MMCI=9.2653RBS+0.45450.73796MCIY=0.2559RBS-0.00340.81917MBI=0.0268B+0.0017ash0.75198CI=15.105B+12.79ash0.60449MCI=0.0417B+0.0049ash0.659710MMCI=1.6033B+0.7028ash0.637911MCI=0.0415B+0.0056Yash0.6226

12CI=607.78MBI+10.8720.936713MCI=1.6524MBI+0.00020.989414MMCI=63.165MBI+0.5290.947815MCIY=1.6835MBI+4E-050.979816MCI=0.0026CI-0.02610.953517MMCI=0.0982CI-0.46080.902518MCIy=0.0026CI-0.0270.953919MMCI=38.319MCI+0.5180.962620MCIy=1.023MCI-0.00030.998421MCI=0.0257MMCI—0.01230.9634從表3中的回歸方程和相關(guān)性系數(shù)（R2）可以看出，MBI、MCI、MMCI、MCIY四者之間的相關(guān)性很好。如圖1~6所示。MBIMBI圖1MCI和MBI之間的關(guān)系Fig.1relationofMCIandMBI0.05000.04800.04600.04400.04200.04000.03800.03600.03400.03200.03000.01900.02100.02300.02500.02700.0290MBI圖2MCIy和MBI之間的關(guān)系Fig.2relationofMCIyandMBIMBI圖3MMCI和MBI之間的關(guān)系Fig.3relationofMMCIandMBIMCI圖4MCIy和MCI之間的關(guān)系Fig.4relationofMCIyandMCI2.40002.30002.20002.10002.00001.90001.80001.70000.03000.03500.04000.04500.0500MCI圖5MMCI和MCI之間的關(guān)系Fig.5relationofMMCIandMCI00000000MMCI圖6MCIy和MMCI之間的關(guān)系Fig.6relationofMCIyandMMCI4結(jié)論綜上所述可知，MBI、MCI、MMCI、MCIY四者之間的相關(guān)性良好，如MBI和MCI之間相關(guān)性系數(shù)為0.9894，MCIY和MBI之間相關(guān)性系數(shù)為0.9798，MCIY和MCI之間相關(guān)性系數(shù)為0.9