钢板水火加工温度场热源参数预报研究  

Investigation of Predicting Heat-Source Parameters of Temperature Field for Line Heating

作　　者：郭培军[1] 刘玉君[2] 孙景民 楚立民 

机构地区：[1]中远船务工程集团有限公司技术中心,辽宁大连116100 [2]大连理工大学船舶工程学院,辽宁大连116024 [3]大连松辽玻璃钢船艇有限公司,辽宁大连116001 [4]大连中远船务工程有限公司,辽宁大连116100

出　　处：《金属热处理》2007年第2期69-71,共3页Heat Treatment of Metals

摘　　要：本文以水火弯板加工过程中的燃气流量、火焰移动速度、加工时间和钢板厚度作为输入参数,热源热效率和热源半径作为输出结果,建立了一种可以预测水火弯板热源模型参数的BP神经网络方法。应用神经网络预测结果设定水火弯板数值模拟时钢板表面的热流载荷参数,基于ANSYS软件得到钢板水火弯板温度场数值计算结果。经应用实例验证,以BP神经网络输出为热源参数的水火弯板数值计算结果与试验测试结果基本一致,说明本文所建立的BP神经网络方法可以用来预测水火弯板温度场热源模型参数。In the paper, assuming the gas flux, moving speed of the flame, processing time and the thickness of plate in line heating processing as input parameters, and heat efficiency and radius of the heat source as output results, a method of BP neural-network to predict the parameters of heat-source model for line heating is proposed. The prediction results of neural-network method are applied to setting the parameters of heat-flow load on the plate surface at the time of numerical simulation of line heating, the numerical results of temperature field for line heating are gained using ANSYS software. It is verified by the numerical example that the numerical calculation results of line heating by using the output of BP neural-network as parameters of heat source are in good agreement with the testing results of experiment ,which shows that the method of BP neural-network built in the paper can be used to predict the heat-source parameters of temperature field for line heating.

关 键 词：BP神经网络 水火弯板 热源模型 数值模拟 

分 类 号：U671.3[交通运输工程—船舶及航道工程]