分层实体制造快速成形工艺参数的人工神经网络预测

Rapid Prototyping Parameter Prediction for Laminated Object Manufacturing with Artificial Neural Network

针对分层实体制造快速成形中工艺准备繁杂及工艺参数非线性的特点,提出分层实体制造快速成形工艺参数预测的人工神经网络方法,建立相应的人工神经网络模型。

The relationship between working parameters and laminating quality of Laminated Object Manufacturing (LOM) is highly nonlinear. Preparation of LOM working parameters is often a trial-and-error process, which is both time and material consuming and needs experienced operators. In order to make the LOM process more efficient in the parameter preparation, an artificial neural network (ANN) approach for parameter prediction for LOM is proposed and the corresponding ANN model is established. The rationality and feasibility of the model is experimentally verified to be reasonable and acceptable.