微波高温加热的污泥炭化过程测温方法分析OA
Analysis of the temperature measurement method for sludge carbonization process under microwave high temperature heating
提出一种基于牛顿冷却定律和降温曲线的温度计算方法,以提高微波加热的测温准确度.先通过常规电加热使样品达到可知的预定高温,在强制冷却条件下得到其降温曲线;然后拟合样品降温全过程温度与时间数据,并对比初始温度计算值与其实际值的差异.结果表明,该方法具有可行性,高温样品在强制冷却条件下,其温度与时间为单调递减的指数函数关系,初始温度计算值与其实际值的误差小于5%.在此基础上,对微波加热高温样品进行降温曲线测试与温度计算,并校正近300℃温差.通过本文方法计算的微波加热样品温度,符合其物相变化所需温度.
The paper established a novel temperature measurement method based on Newton's cooling law and the cooling curve,which could calculate high temperature and improve its accuracy.Firstly,a sample was heated to a known high temperature by conventional electrical heating,and then its cool-ing curve was obtained under forced cooling conditions.Subsequently,the formula of temperature and time was fitted,and the value difference between the calculated initial temperature and its actual temperature was compared.The results indicated that the method is feasible.Under forced cooling conditions,the high temperature exhibits a monotonically decreasing exponential function relationship with time,and the value error between the calculated initial temperature and its actual temperature is less than 5%.According to above results,cooling curve test and temperature calculation were conduc-ted for high-temperature samples heated by microwave irradiation,and the temperature difference of about 300℃was corrected by the method.Based on the novel method,the calculated temperature of the sample heated by microwave irradiation meets the requirement for its phase change.
王超前;于海龙;张新雁;邹群峰;魏伟;王文龙;孙运兰;朱宝忠
常州大学 石油与天然气工程学院,江苏 常州 213164常州大学 石油与天然气工程学院,江苏 常州 213164山东大学 核科学与能源动力学院,山东 济南 250061常州大学 石油与天然气工程学院,江苏 常州 213164齐鲁工业大学(山东省科学院) 能源与动力工程学院,山东 济南 250353山东大学 核科学与能源动力学院,山东 济南 250061常州大学 石油与天然气工程学院,江苏 常州 213164常州大学 石油与天然气工程学院,江苏 常州 213164
资源环境
固废处置污泥炭微波热解牛顿冷却定律降温曲线测温
solid waste disposalsludge-based biocharmicrowave pyrolysisNewton's cooling lawcooling curvetemperature measurement
《常州大学学报(自然科学版)》 2026 (2)
1-9,9
国家自然科学基金面上资助项目(51976110)国家自然科学基金青年基金资助项目(52306250)常州大学科研启动基金资助项目(ZMF23020199).
评论