(1.山東大學 材料液態(tài)結構及其遺傳性教育部重點實驗室，
濟南 250061;
2.山東大學 連接技術研究所，濟南 250061)
摘 要: 提出了建立熔池正面信息與背面熔寬的關系模型的新方法，由神經(jīng)網(wǎng)絡訓練均方根誤差確定模型的輸入節(jié)點及隱層單元個數(shù)，并根據(jù)這種方法建立了正面熔池幾何形狀參數(shù)與背面熔寬的關系模型，非訓練樣本校驗結果表明，該模型具有較高的精度。
關鍵字: 焊接熔透；視覺傳感器；背面熔寬；神經(jīng)網(wǎng)絡
information in TIG welding
（1.MOE Key Lab for Liquid Structure and Heredity of Materials,
Shandong University,Jinan 250061,China;
2.Institute of Material Joining,Shandong University,
Jinan 250061,China）
Abstract:A new methods to establish a model describing the relationship of t he weld pool geometry and the back width of weld pool with sufficient accuracy has been proposed. The unit-number of hidden layer and input layer ca n be decided according to the training error. The relationship of the weld pool geometry parameters and the back width of weld pool is established using this method. The test results show that the model has sufficient accuracy.
Key words: weld penetration; visual sensor; back width of weld pool; neural network
