化工进展
化工進展
화공진전
CHEMICAL INDUSTRY AND ENGINEERING PROGRESS
2013年
9期
2061-2067
,共7页
选粉机%非稳态%颗粒轨迹%粒径分布
選粉機%非穩態%顆粒軌跡%粒徑分佈
선분궤%비은태%과립궤적%립경분포
classifier%unsteady%particle trajectory%particle diameter distribution
选粉机颗粒轨迹模拟研究是分析选粉机分级效率与分级精度性能技术指标的重要基础之一。根据计算流体动力学(CFD)理论,运用DPM模型的颗粒运动方程对时间积分求解颗粒运动轨迹,阐述了颗粒的分级过程。对二维平面离散颗粒的捕集和采样结果进行分析,考察了细粉和粗粉的质量流率,并研究了不同工况下细粉颗粒粒径分布情况。对数值模拟相关工况点进行模拟结果的实验分析,结果表明:细粉颗粒质量流率模拟结果与实验结果误差为5.66%;细粉颗粒粒径分布曲线两者较吻合,<30μm颗粒含量相对误差为8.26%,30~100μm颗粒含量相对误差为9.37%,>100μm颗粒含量相对误差为6.54%。研究结果为分析和预测选粉机不同工况下的成品产量和粒径分布提供了模拟方法。
選粉機顆粒軌跡模擬研究是分析選粉機分級效率與分級精度性能技術指標的重要基礎之一。根據計算流體動力學(CFD)理論,運用DPM模型的顆粒運動方程對時間積分求解顆粒運動軌跡,闡述瞭顆粒的分級過程。對二維平麵離散顆粒的捕集和採樣結果進行分析,攷察瞭細粉和粗粉的質量流率,併研究瞭不同工況下細粉顆粒粒徑分佈情況。對數值模擬相關工況點進行模擬結果的實驗分析,結果錶明:細粉顆粒質量流率模擬結果與實驗結果誤差為5.66%;細粉顆粒粒徑分佈麯線兩者較吻閤,<30μm顆粒含量相對誤差為8.26%,30~100μm顆粒含量相對誤差為9.37%,>100μm顆粒含量相對誤差為6.54%。研究結果為分析和預測選粉機不同工況下的成品產量和粒徑分佈提供瞭模擬方法。
선분궤과립궤적모의연구시분석선분궤분급효솔여분급정도성능기술지표적중요기출지일。근거계산류체동역학(CFD)이론,운용DPM모형적과립운동방정대시간적분구해과립운동궤적,천술료과립적분급과정。대이유평면리산과립적포집화채양결과진행분석,고찰료세분화조분적질량류솔,병연구료불동공황하세분과립립경분포정황。대수치모의상관공황점진행모의결과적실험분석,결과표명:세분과립질량류솔모의결과여실험결과오차위5.66%;세분과립립경분포곡선량자교문합,<30μm과립함량상대오차위8.26%,30~100μm과립함량상대오차위9.37%,>100μm과립함량상대오차위6.54%。연구결과위분석화예측선분궤불동공황하적성품산량화립경분포제공료모의방법。
This paper investigated the classifier particles trajectory tracking simulation . Based on the computational fluid dynamics (CFD) theory,discrete particle model (DPM) was used to simulate particles trajectory. The process of particles classification was investigated using particle motion equation integral of time. According to the results of 2D plane particles capturing and sampling, time-varying curves of fine and coarse particles mass flow rates under different conditions and the average mass flow rate of stable stage under each condition were obtained. In addition,the diameter distributions of fine particles under different conditions were studied. In order to verify the validity of the simulation results,classifier performance with air volume of 5500 m3/min,rotator speed of 55 r/min,and feeding rate of 60 kg/s was investigated. The results showed that the error of fine particles mass flow rate simulation was 6.12%. The simulation curve of the fine particles diameter distribution results demonstrated a good agreement with the experiment curve. The relative errors for different particle sizes were presented as the following:8.26% for particles smaller than 30 μm;9.37% for particle sizes in the range of 30 to 100μm;and 6.54%for particles bigger than 100μm. This research provided a simulation method for prediction of classifier product output and particle diameter <br> distributions under given conditions.