Transactions of Materials and Heat Treatment

Title：Simulation on temperature field for heating furnace based on gas relative injection speed ratio

Authors： Guo Ning He Fei Zhou Yulong

Unit： Nanjing University of Science and Technology Jiangsu Institute China Academy of Machinery Science ＆ Technology Co. Ltd.

KeyWords： temperature field relative injection speed ratio temperature uniformity interval of injection speed ratio high efficiency heating area

ClassificationCode：TG155

year,vol(issue):pagenumber：2019,44(12):122-130

Abstract：

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.

Funds：

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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