炼钢炉火焰喷补工艺参数的试验研究与优化

Experimental study and optimization of flame gunning parameters for steel-making furnaces

模拟转炉及钢包内衬条件 ,利用实验室小型火焰喷补机进行喷补试验 ,测试了喷补料组成、氧气与燃气的流量比、混合气与喷补料的流量比、喷射距离及受补面温度 (炉温 )等因素对喷补附着率及喷补层与残衬粘结强度的影响规律。利用模式识别和人工神经网络技术对影响喷补效果的工艺参数进行了优化与预报。结果表明 ,适宜的喷补工艺参数为 :喷补料中结合剂含量 (包括转炉渣与外加剂 )为 11.4 3%;氧气与燃气的流量比为 4 .87;混合气与喷补料的流量比为 0 .91m3 ·kg- 1;喷射距离约 4 0cm ;炉温 15 6 9K。这为火焰喷补技术的发展与应用奠定了基础。

The flame gunning experiments for steel-making furnaces were simulated in laboratory.The adhesive ratio and binding strength were experimentally measured at different compositions of gunning material,ratio of oxygen to propane,flow ratio of mixed gas to gunning material,gunning distance and furnace temperature.Pattern Recognition and Artificial Neural Network were employed to analyze the experimental results and the optimized region (parameters) was worked out.The obtained appropriate gunning technique parameters are:binder content in gunning mix being 11.43%,flow ratio of oxygen to gas fuel being 4.87,flow ratio of mixed gas to gunning mix being 0.91 m 3 ·kg -1 ,gunning distance being about 40 cm and furnace temperature 1569 K.This work made a basis for development and application of flame gunning technique.