摘要
提出用试验设计与人工神经网络相结合的方法 ,建立了一个激光切割工艺参数的选择优化的智能系统。通过试验设计的方法 ,只需做少数几次切割试验 ,将试验结果输入人工神经网络中进行训练和学习 ,系统便可经过自学得到切割结果与切割参数之间的隐含的定量关系 ,获得切割知识。在实际切割时 ,系统根据学到的切割知识 ,可以对任何给定的切割条件进行推理 ,对切割参数进行结果预测和优化。这种方法既不需要做大量的工艺试验 ,也不是单纯的专家经验 ,而是结合了两者的优点 ,使结果预测建立在既有试验数据又有专家知识的基础上 ,因而更加可靠、准确。该系统在激光方位切割的具体应用表明 ,系统能够准确给出定量的加工参数。
In laser cutting, many factors influence cutting quality. In this paper an intelligent system has been developed in order that the cutting parameters can be created quantitatively. This system is different from database and normal expert system. It combines factor experiment method and artificial neural network (ANN). Only a few tests are required to obtain basic data and then the test results are input into the ANN system. After the ANN is trained and learns from the test results, the system can produce laser cutting knowledge and optimized parameters. Based on test data and knowledge the cutting parameters given by the system will be more accuracy and reliable. Finally the intelligent system is applied to select 3D position laser cutting parameters. It shows the system being very effective and useful.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2004年第6期757-760,共4页
Chinese Journal of Lasers
基金
中国博士后科学基金 (No.15 2 14 )
北京市科技新星计划 (95 3810 70 0 )资助项目
关键词
激光技术
激光切割参数
智能
神经网络
laser technique
laser cutting parameters
intelligent
artificial neural network (ANN)
