航空发动机叶片数控加工工时估算方法研究

Research on Numerical Human-Hour Estimation for Aero-Engine Blade

为了快速合理地估算航空发动机叶片数控加工工时,在分析影响零件工时的主要因素(特征参数)的基础上,提出了基于SLFM神经网络模型的计算工时定额的思路。以影响零件工时的特征参数作为网络输入、以匹配的相似零件集作为训练样本,采用C++语言构建了定额计算网络模型。与BP网络对比试验表明,这种方法具有计算速度快,估算准确的优点。

In order to estimate the numerical human-hour of aero-engine blade rapidly and reasonably, an approach for estimating man-hour using a SLFM ANN model is proposed on the basis of analyzing the main in-lfuencing factors of man-hour. By using C＋＋program,the man-hour calculation model is constructed with character-istic parameters of determinant of man-hour as the input and matched similar parts as the train set. It is indicated that the method calculates faster and estimates more accu-rately by comparison with BP neural network.