锻压技术

基于气体相对射速比的加热炉温度场仿真

英文标题：Simulation on temperature field for heating furnace based on gas relative injection speed ratio

作者：郭宁何非周玉龙

分类号：TG155

出版年,卷(期):页码：2019,44(12):122-130

摘要：

以燃气室式加热炉为研究对象，采用CFD仿真技术对炉膛内燃气燃烧过程建立了实体模型并进行了燃烧模拟。对炉内温度场的变化和均匀性进行模拟，通过设定天然气和空气不同的相对射速比，分析其对炉内温度场分布情况和区域温度均匀性的影响，找出加热炉内温度均匀性较好的空间分布，为钢坯合理装炉提供指导依据。仿真分析结果表明：空气与天然气的相对射速比越小，炉内燃烧的平均温度越高，高温区域覆盖越多，温度分布越均匀，其中，使各项指标均达到最优的射速比区间为1.2~1.4；同时，在最优相对射速比下也存在高温区和低温区，通过对加热炉各部分温度云图及仿真数据的比较分析，确定了高效加热区域，为锻件合理装炉、减少加热时间、节约燃气和降低废气的排放提供了理论基础。

For the gas-fired heating furnace, the solid model of the gas combustion process inside the furnace were established and the combustion simulation was conducted by the simulation technology CFD. The change and uniformity of temperature field inside the furnace was simulated. Then, by setting different relative injection speed ratios of natural gas and air, the influences of them on the distribution of temperature field and regional temperature uniformity inside the furnace were analyzed, and the good spatial distribution of temperature uniformity inside the heating furnace was found to provide guidance for the reasonable installation of steel billet in the furnace. Simulation analysis results show that the smaller the relative injection speed ratio of air and natural gas is, the higher the average combustion temperature inside the furnace is, the more the high-temperature area is covered, and the more even the temperature distribution is. Among them, the range of the injection speed ratio to make each indicator be optimal is 1.2-1.4. At the same time, there are also high temperature zones and low temperature zones under the optimal relative injection speed ratio. Furthermore, through the comparative analysis of the temperature distribution at each part of the heating furnace and the simulation data, the high efficiency heating zone is determined to provide a theoretical basis for the reasonable installation of forgings in the furnace, reducing the heating time, saving the gas and reducing the emission of waste gas.

基金项目：

国家自然科学基金资助项目（51575280）；2017年智能制造综合标准化与新模式项目（工信厅装函［2017］ 468号）

郭宁（1994-），男，硕士研究生 E-mail：1249793525@qq.com 通讯作者：何非（1982-），男，博士，副教授 E-mail：26171809@qq.com

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