钢管光亮退火炉热过程的仿真与优化  

Simulation and Optimization of Steel Tube Heat Process in Bright Annealing Furnace

作　　者：敖艳丽 

机构地区：[1]郭楞职业技术学院,新疆库尔勒841000

出　　处：《热加工工艺》2015年第20期206-208,211,共4页Hot Working Technology

摘　　要：首先建立了钢管退火炉热过程的数学模型,通过实验确定了辐射系数和对流传热系数,以某钢厂钢管光亮退火炉为对象进行仿真优化。结果表明:钢种、壁厚和炉速是影响退火炉内钢管温度的主要因素,不同钢种在冷却段温度差异比较明显,表面温度随钢管壁厚的增加而升高,壁厚对径向温差的影响主要体现在加热段和冷却段,随炉速的增加,加热段的温升越慢、径向温差越大,冷却段的温升越慢、径向温差越大,径向温差加热段存在多个拐点;正火工艺优化后,炉速降低,管排数增加,产量提高了16.3%;回火工艺优化后,管排数不变,炉速增加,产量提高了59.6%。The mathematical model of the heat process of the steel tube annealing furnace was firstly established.Radiation coefficient and convective heat transfer coefficient were determined by experiment. With a steel pipe bright annealing object simulation and optimization, results show that： steel, wall thickness and furnace speed are the main factors affecting the steel annealing furnace temperature. For different kinds of steel, temperature difference in the cooling zone is more obvious; with increasing the wall thickness of the pipe, the surface temperature increases. The impact of the wall thickness of the radial temperature difference is mainly reflected in the heating and cooling zones; with the increase of the furnace speed, the temperature rises more slowly in the heating section, and the greater the radial temperature difference is,the more slowly the temperature in the cooling section rise. And in the radial temperature difference between the heating section there are several inflection points. After normalizing process optimization, the furnace speed reduces, the number of tube rows increases and production increases 16.3%; after tempering process optimization, the number of tube rows does not change, the furnace speed increases and production increases 59.6%.

关 键 词：钢管 退火炉 数学模型 优化 

分 类 号：TG156.2[金属学及工艺—热处理]