摘要
选择船体建造过程中常见的3类焊接构件的火焰矫正工艺进行研究,实现了工艺的自动生成.采用分析工艺规则、建立逻辑推理代码的方法实现火焰矫正方法的自动生成;通过分析矫正变形以及焊接变形的影响因素,建立了影响因素之间的映射关系式,使用人工神经网络拟合映射关系式,从而确定并优化了火焰矫正的关键工艺参数.研究结果经过实验验证获得了令人满意的效果,该方法有效地提高火焰矫正的效率与矫正质量的稳定性,并为实现火焰矫正自动化提供了基础.
Three kinds of typical welding components in the process of hull construction were chosen to analyze their flame rectification process, which, as a result, realizes the process automation. By means of analyzing process rule and establishing logic reasoning codes to generate the flame rectification method automatically; by analyzing the parameters that influence the distortion of flame rectification and welding process to build the mapping formula; and then use artificial neural network algorithm to resolve it so as to determine the critical process parameters of flame rectification. Satisfying results were achieved through the experiment in shipyard. It proves that the proposed method can improve the productivity and quality of flame rectification, and provide with the fundament for the automation of flame rectification.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2005年第7期1155-1158,共4页
Journal of Shanghai Jiaotong University
关键词
造船
火焰矫正
焊接
逻辑推理
人工神经网络
shipbuilding
flame rectification
welding process
logic reasoning
artificial neural network
作者简介
虞成全（1979-），男，安徽安庆人，硕士生，主要研究方向为工作研究、人工智能等．
江志斌（联系人），男，教授，博士生导师，电话（Tel．）：021-62932128；E-mail：zbjiang@mail．sjtu．edu．cn．
