五、实验数据与处理1.根据所记录单釜、多釜实验中“结果显示”的数据表，用origin作出c(t)~t响应曲线；a)单釜实验数据表每组时间间隔：1.0S电机转速:200r/min主流体流量：20L/h数学期望:496.305328方差:186540.734375虚拟釜数:1.320457b)多釜实验数据表每组时间间隔：1.0S电机转速:200r/min主流体流量：20L/h釜1数学期望:2046.543701釜1方差:-1604498.375000釜1虚拟釜数:-2.610374釜2数学期望:399.457458釜2方差:113844.148438釜2虚拟釜数:1.401620釜3数学期望:489.181549釜3方差:84503.718750釜3虚拟釜数:2.831811单釜停留时间分布2.采用离散化方法，，间隔取20~30组数据，求出单釜和多釜的以及模型参数N。a)单釜数据序号t/sc(t)/ms·cm-1t·c(t)/s·ms·cm-1t2·c(t)/s2·ms·cm-11600.81849.082944.821200.7488.81065631800.647116.4620962.842400.591141.8434041.653000.523156.94707063600.464167.0460134.474200.454190.6880085.684800.384184.3288473.695400.323174.4294186.8106000.288172.8103680116600.247163.02107593.2127200.235169.2121824137800.218170.04132631.2148400.21176.4148176159000.171153.9138510169600.171164.16157593.61710200.152155.04158140.81810800.142153.36165628.81911400.127144.78165049.22012000.127152.41828802112600.118148.68187336.82213200.06991.08120225.62313800.115158.7219006多釜停留时间分布2414400.088126.72182476.82515000.091136.52047502615600.079123.24192254.42716200.079127.98207327.62816800.096161.28270950.42917400.076132.24230097.63018000.069124.2223560∑7.9124375.34058248b)多釜釜1数据序号t/sc(t)/ms·cm-1t·c(t)/s·ms·cm-1t2·c(t)/s2·ms·cm-11601.49189.465367.621201.052126.2415148.831800.739133.0223943.642400.517124.0829779.253000.356106.83204063600.24688.5631881.674200.18878.9633163.284800.13966.7232025.695400.10556.730618106000.07846.828080116600.06341.5827442.8127200.06647.5234214.4137800.03628.0821902.4148400.03126.0421873.6159000.02926.123490169600.01716.3215667.21710200.03939.7840575.61810800.02425.9227993.61911400.02427.3631190.42012000.01416.8201602112600.01417.6422226.42213200.01418.4824393.62313800.03953.8274271.62414400.01420.1629030.42515000.02436540002615600.03148.3675441.62716200.01727.5444614.82816800.04168.88115718.4∑5.4481503.7966254.4c)多釜釜2数据序号t/sc(t)/ms·cm-1t·c(t)/s·ms·cm-1t2·c(t)/s2·ms·cm-11600.73744.222653.221201.011121.3214558.431801.006181.0832594.442400.928222.7253452.853000.823246.97407063600.689248.0489294.474200.569238.98100371.684800.469225.12108057.695400.376203.04109641.6106000.308184.8110880116600.252166.32109771.2127200.191137.5299014.4137800.186145.08113162.4148400.137115.0896667.2159000.132118.8106920169600.117112.32107827.21710200.09596.9988381810800.093100.44108475.21911400.08192.34105267.62012000.086103.21238402112600.07391.98115894.82213200.07193.72123710.42313800.073100.74139021.22414400.06695.04136857.62515000.066991485002615600.078121.68189820.82716200.078126.36204703.22816800.088147.84248371.2∑8.8793980.583072236.4d)多釜釜3数据序号t/sc(t)/ms·cm-1t·c(t)/s·ms·cm-1t2·c(t)/s2·ms·cm-11600.1428.52511.221200.448576031800.613110.3419861.242400.737176.8842451.253000.811243.37299063600.791284.76102513.674200.737309.54130006.884800.657315.36151372.895400.596321.84173793.6106000.501300.6180360116600.425280.5185130127200.349251.28180921.6137800.273212.94166093.2148400.239200.76168638.4159000.21189170100169600.171164.16157593.61710200.142144.84147736.81810800.105113.41224721911400.098111.72127360.82012000.091081296002112600.06176.8696843.62213200.06889.76118483.22313800.06488.32121881.62414400.04463.3691238.42515000.06191.51372502615600.05687.36136281.62716200.04674.52120722.42816800.05999.12166521.6∑8.5464566.543424489.2
