中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
5期
713-717
,共5页
蔡容容%张衍国%蒙晨玮%李清海%蒙爱红
蔡容容%張衍國%矇晨瑋%李清海%矇愛紅
채용용%장연국%몽신위%리청해%몽애홍
流化床%球形大颗粒%停留时间%无量纲化%正态检验
流化床%毬形大顆粒%停留時間%無量綱化%正態檢驗
류화상%구형대과립%정류시간%무량강화%정태검험
fluidized bed%spherical large object%residence time%dimensionless method%normality test
利用电容层析成像示踪大颗粒在床内运动轨迹,通过正交实验法研究非均匀布风流化床内球形重质大颗粒粒径、密度、流化风速对其在床内停留时间分布(residence time distribution,RTD)的影响规律。实验及显著性分析结果表明大颗粒停留时间随密度、粒径增大而增大,随流化风速增大而减小;大颗粒密度是影响其停留时间的主要因素,流化风速次之。由回归分析建立了大颗粒平均停留时间(mean residence time,MRT)和实验变量的无量纲经验关系式,将其用于预测一定工况下大颗粒MRT时误差不超过20%。最后采用Shapiro-Wilk正态性检验方法对RTD曲线进行检验,结果表明大颗粒在床内的停留时间很接近正态分布。
利用電容層析成像示蹤大顆粒在床內運動軌跡,通過正交實驗法研究非均勻佈風流化床內毬形重質大顆粒粒徑、密度、流化風速對其在床內停留時間分佈(residence time distribution,RTD)的影響規律。實驗及顯著性分析結果錶明大顆粒停留時間隨密度、粒徑增大而增大,隨流化風速增大而減小;大顆粒密度是影響其停留時間的主要因素,流化風速次之。由迴歸分析建立瞭大顆粒平均停留時間(mean residence time,MRT)和實驗變量的無量綱經驗關繫式,將其用于預測一定工況下大顆粒MRT時誤差不超過20%。最後採用Shapiro-Wilk正態性檢驗方法對RTD麯線進行檢驗,結果錶明大顆粒在床內的停留時間很接近正態分佈。
이용전용층석성상시종대과립재상내운동궤적,통과정교실험법연구비균균포풍류화상내구형중질대과립립경、밀도、류화풍속대기재상내정류시간분포(residence time distribution,RTD)적영향규률。실험급현저성분석결과표명대과립정류시간수밀도、립경증대이증대,수류화풍속증대이감소;대과립밀도시영향기정류시간적주요인소,류화풍속차지。유회귀분석건립료대과립평균정류시간(mean residence time,MRT)화실험변량적무량강경험관계식,장기용우예측일정공황하대과립MRT시오차불초과20%。최후채용Shapiro-Wilk정태성검험방법대RTD곡선진행검험,결과표명대과립재상내적정류시간흔접근정태분포。
A series of orthogonal experiments were conducted to study the influence of the superficial velocity and the size and density of the sphericallarge objects on their residence time distribution (RTD) in a cold lab-scale fluidized bed with uneven distribution of air. The RTDs were determined by electrical capacitance tomography (ECT) tracing technique.Significance analysis demonstrates that the object density is the dominant factor influencing the residence time, followed by the superficial velocity. Increasing fluidization velocity, object size or decreasing object density reduces the residence time.A dimensionless empirical relationship between the mean residence time (MRT) and the three influencing factors was established through regression analysis, and its prediction error was within 20%. Finally, Shapiro-Wilknormality test method was used to test the RTD and the analysis result shows that all of the RTD curves are near the normal distribution.