摘要
与传统的示踪法及试验手段研究颗粒混合行为相比,图像颗粒追踪算法具有快速、准确分析任意时刻颗粒的运动行为,并可实现连续全场跟踪测量等优点。应用图像颗粒追踪算法研究了不同工况的颗粒横向混合特性,结果表明,随表观气速的增加颗粒横向的混合效果提高,合适的料层厚度有利于颗粒的横向混合;床层表面颗粒的横向混合效果优于床层内部颗粒,而沿径向上颗粒的横向混合效果则与表观气速有关。在高气速下,床层中心区域颗粒的横向混合效果优于两边区域;在低气速下,床层只能实现局部流化,边区域颗粒的横向混合效果优于床层中心区域。
Compared with traditional tracing method and experimental means for studying the mixing behavior of particles, the picture tracking algorithm has some advantages, such as it can rapidly and accurately analyse the movement behavior of particles at any moment, and realize continuous tracking measurement in the full field etc. The crossmixing behavior of particles under various operating conditions has been studied by using picture of particletracking algorithm. Results show that the effectiveness of particles’ crossmixing was enhanced along with increasing the apparent gas velocity, and suitable thickness of fuel layer is beneficial to particles’ crossmixing; the effectiveness of particles’ crossmixing on surface of the bed layer is better than that of particles inside the bed layer, but the effectiveness of particles’ crossmixing is related to the apparent gas velocity. Under high gas velocity, the effectiveness of particles’ crossmixing in central region of the bed layer is better than that in the two side regions; under low gas velocity, the bed layer can only realize partial fluidization, the effectiveness of particles’ crossmixing in the side regions is better than that in central region of the bed layer.
出处
《热力发电》
CAS
北大核心
2005年第11期34-38,共5页
Thermal Power Generation
基金
国家自然科学基金资助项目(N50106015)
国家重点基础研究专项经费资助项目(12001CBA09600)
关键词
图像追踪算法
流化床
颗粒
横向混合
流化
picture tracking algorithm
fluidized bed
particles
crossmxing
fluidization
