稀相颗粒二维速度场测量PTV法的研究进展  

Research progress of PTV method in two-dimensional dilute phase particle velocity measurement

作　　者：周云龙[1] 宋连壮[2] 周红娟[2] 

机构地区：[1]东北电力大学能源与动力工程学院,吉林吉林132012 [2]东北电力大学自动化工程学院,吉林吉林132012

出　　处：《化工进展》2010年第S2期17-21,共5页Chemical Industry and Engineering Progress

摘　　要：综述了粒子跟踪测速算法的研究进展情况。介绍了PTV法的基本原理,描述了它的主要特点,重点综述了粒子跟踪测速算法(PTV)中粒子匹配的进展情况。并对粒子的匹配中所用的算法进行了分类,然后总结了两大类算法的特点;探讨了目前粒子跟踪算法存在的问题及其今后的发展方向。未来研究趋势应该从粒子识别方法、高效的匹配算法以及伪矢量的处理算法3个方面来提高PTV法的测速精度。This review summarizes the research progress of particle tracking algorithm,and introduces the basic principles and main features of particle tracking velocimetry(PTV)with emphasis on current status and development of particle matching of PTV.The particle matching algorithms are classified,and two algorithms are especially introduced.In addition,the current problems and prospects of particle tracking algorithm are also discussed.It is proposed that the future study trends should be focused on particle recognition method,efficient matching algorithms and pseudo vector algorithms to improve the velocity measurement accuracy of PTV method.

关 键 词：稀疏颗粒 速度场 粒子匹配 人工智能 粒子跟踪测速 

分 类 号：O35[理学—流体力学]