基于图像处理的生物质颗粒燃烧特性研究  

Investigation of the Combustion Characteristics of Single Biomass Particle Using Image Processing Techniques

作　　者：李源[1] 郭无双 周昊[1] 

机构地区：[1]浙江大学能源清洁利用国家重点实验室热能工程研究所

出　　处：《工程热物理学报》2017年第2期447-451,共5页Journal of Engineering Thermophysics

基　　金：国家重点基础研究发展计划项目(No.2015CB251501);国家自然科学基金项目(No.51476137)

摘　　要：本文通过搭建McKenna型燃烧系统研究生物质颗粒的燃烧特性。基于数字图像处理技术分别研究氧浓度、流量和颗粒尺寸对生物质颗粒燃烧特征和挥发分火焰特征的影响。研究表明,随着氧浓度的增加,生物质颗粒的着火延迟时间、挥发分燃烧时间和碳燃烧时间均呈现下降趋势。挥发分火焰时均面积随着氧浓度的增加而减小,挥发分火焰时均平均亮度随着氧浓度的增加而增加。流量对生物质颗粒燃烧特性的影响与氧浓度的影响相似,而颗粒长度对生物质颗粒燃烧特性的影响与氧浓度和流量的影响相反。This paper presents a McKenna combustion system developed for the investigation of the combustion characteristics of single biomass particle.The effect of oxygen concentration,flow rate,and particle size on the combustion features and volatile flame features of single biomass particle was investigated using image processing techniques.The experimental results demonstrate that the ignition delay time,volatile burnout time and char burnout time of single biomass particle decrease with increasing oxygen concentration.The time-averaged volatile flame area decreases with increasing oxygen concentration,while the time-averaged volatile flame brightness increases with increasing oxygen concentration.The effect of flow rate on the combustion characteristics of single biomass particle is similar to that of oxygen concentration.However,the effect of particle size on the combustion characteristics of single biomass particle is contrary to that of oxygen concentration and flow rate.

关 键 词：生物质颗粒 图像处理 McKenna型燃烧系统 燃烧特性 

分 类 号：TK123[动力工程及工程热物理—工程热物理]