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基于粒子群算法的微纳米铁粉燃烧实验研究
引用本文:丁宋毅,孙波,卓长飞. 基于粒子群算法的微纳米铁粉燃烧实验研究[J]. 科学技术与工程, 2022, 22(7): 2709-2716
作者姓名:丁宋毅  孙波  卓长飞
作者单位:南京理工大学机械工程学院
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:为减少化石燃料的使用,开发清洁、低碳、可再生的新型能源,对微纳米铁粉燃料开展燃烧实验研究。通过微纳米铁粉的比表面积实验、热重分析实验、X射线衍射实验,得到不同粒径铁粉的比表面积、热重曲线以及X射线衍射图谱。分析粒径对比表面积、热重曲线的影响,研究不同粒径铁粉在40 K/min升温速率下的燃烧特性参数和燃烧动力学参数。并用粒子群算法拟合出微纳米铁粉的燃烧速率微分方程,建立微纳米铁粉的燃烧模型。结果表明:除了50 nm铁粉以外,随着粒径增大,铁粉的着火点温度、最高燃烧速率温度、燃尽温度、活化能、指前因子均增大。50 nm铁粉会在高温下发生熔化并凝结,使得燃尽温度上升,燃尽时间延长,不利于反应正常进行。对于粒径在50 nm~2μm范围内的铁粉,可以通过本文建立的铁粉燃烧速率微分方程近似计算不同粒径微纳米铁粉的燃烧特性参数和燃烧动力学参数,误差在允许的范围内。

关 键 词:微纳米铁粉  比表面积  热重分析  粒子群算法  燃烧特性  燃烧模型
收稿时间:2021-04-22
修稿时间:2021-11-24

Experimental research on combustion of micro/nano iron powder based on particle swarm algorithm
Ding Songyi,Sun Bo,Zhuo Changfei. Experimental research on combustion of micro/nano iron powder based on particle swarm algorithm[J]. Science Technology and Engineering, 2022, 22(7): 2709-2716
Authors:Ding Songyi  Sun Bo  Zhuo Changfei
Affiliation:Machinery Engneering College,Nanjing University of Science and Technology
Abstract:In order to reduce the use of fossil fuels, and develop clean, low-carbon, and renewable new energy sources. In this paper, the combustion experiment of micro-nano iron powder fuel is carried out. The surface area, thermogravimetric curve and X-ray diffraction pattern of iron powder with different particle sizes were obtained by the specific surface area experiment, thermogravimetric analysis experiment and X-ray diffraction experiment of micro-nano iron powder. The effects of particle size on surface area and thermogravimetric curve were analyzed. The combustion characteristic parameters and combustion kinetic parameters of iron powders with different particle sizes were studied at the heating rate of 40K/min. The particle swarm algorithm was used to fit the combustion rate differential equation to establish a combustion model of micro/nano iron powder. The results show that except for 50nm iron powder, with the increase of particle size, the ignition point temperature, maximum combustion rate temperature, burnout temperature, activation energy and pre exponential factor of iron powder increase. The 50nm iron powder will melt and condense at high temperatures, which will increase the burnout temperature and prolong the burnout time, which is not conducive to the normal reaction. For iron powder of any particle size, the combustion characteristic parameters and combustion kinetic parameters of micro/nano iron powder with different particle sizes can be approximated by the iron powder combustion rate differential equation established in this paper. The error is within the allowable range.
Keywords:micro nano iron powder   specific surface area   thermogravimetric analysis   particle swarm algorithm   combustion characteris-tics   combustion model
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