重庆理工大学学报:自然科学
重慶理工大學學報:自然科學
중경리공대학학보:자연과학
Journal of Chongqing Institute of Technology
2012年
3期
68-74
,共7页
王泽璞%刘乾%曹丽平%刘言%刘石
王澤璞%劉乾%曹麗平%劉言%劉石
왕택박%류건%조려평%류언%류석
高密度循环流化床%电容层析成像技术%固相介质%动态重建算法
高密度循環流化床%電容層析成像技術%固相介質%動態重建算法
고밀도순배류화상%전용층석성상기술%고상개질%동태중건산법
high density circulating fluid bed%electrical capacitance tomography%solid particles%dynamic reconstruction algorithm
针对高度循环流化床管道内固相介质的流动具有封闭性和模糊性,一般检测技术不能清晰地反演出HDCFB中固相介质分布特征的问题,选用先进的检测技术——电容层析成像技术——来在线显示HDCFB中固相介质的分布情况。提出了集合ECT测量信息和被测量对象的物理演化信息的广义动态重建算法。该算法同时考虑了被测对象的空间约束、时间约束和被测对象在流动过程的动态变化特性。动态实验研究表明:该算法可成功求解ECT逆问题,确保有一稳定的数值解;ECT可捕获HDCFB内管道截面固相介质的分布情况,成功重建管道内的流动模型。
針對高度循環流化床管道內固相介質的流動具有封閉性和模糊性,一般檢測技術不能清晰地反縯齣HDCFB中固相介質分佈特徵的問題,選用先進的檢測技術——電容層析成像技術——來在線顯示HDCFB中固相介質的分佈情況。提齣瞭集閤ECT測量信息和被測量對象的物理縯化信息的廣義動態重建算法。該算法同時攷慮瞭被測對象的空間約束、時間約束和被測對象在流動過程的動態變化特性。動態實驗研究錶明:該算法可成功求解ECT逆問題,確保有一穩定的數值解;ECT可捕穫HDCFB內管道截麵固相介質的分佈情況,成功重建管道內的流動模型。
침대고도순배류화상관도내고상개질적류동구유봉폐성화모호성,일반검측기술불능청석지반연출HDCFB중고상개질분포특정적문제,선용선진적검측기술——전용층석성상기술——래재선현시HDCFB중고상개질적분포정황。제출료집합ECT측량신식화피측량대상적물리연화신식적엄의동태중건산법。해산법동시고필료피측대상적공간약속、시간약속화피측대상재류동과정적동태변화특성。동태실험연구표명:해산법가성공구해ECT역문제,학보유일은정적수치해;ECT가포획HDCFB내관도절면고상개질적분포정황,성공중건관도내적류동모형。
Investigating the distribution characteristics of the solid particles in a high density circulat-ing fluid bed (HDCFB) is vital to strengthen the heat and mass transfer, reduce the pollutant emis-sion and improve the system efficiency. However, solid particles in the pipe of HDCFB was closedand fuzzy, and the regular detection techniques could not invert the distribution characteristics clear- ly. In this paper, electrical capacitance tomography (ECT) technique was employed to visualize thedistribution characteristics of the solid particles in a HDCFB. A generalized dynamic reconstruction model, which integrates ECT measurement information and physical evolution information of the ob-jects of interest, is presented. A generalized objective function that simuhaneously considers the spa-tial constraints, the temporal constraints and the dynamic evolution information of the objects of inter-est in a dynamic process is proposed. Dynamic experimental studies indicate that the proposed algo-rithm is successful in solving ECT inverse problem, and can ensure a stable numerical solution. Inaddition, experimental results reveal that ECT method can capture the distribution behaviors of thesolid particles in the cross section, and successfully reconstruct the typical flow patterns.