针对注射模试模中缺陷的成因分析和解决方法的选取过程过于依赖于工程师的主观经验,因而具有极大的主观性和不确定性。基于贝叶斯网络,建立了注射模修模的经验模型。实验表明,这种模型能够为修模提供有效的解决方案作参考,有利于提高修模的效率和质量。
The existing analysis on the causes of moulding, and the selection of measures to solve defects occurred in the process of trial injection the problems depend much on the experiences of design engineers that may be incorrect or inaccurate. A type of empirical model based on Bayesian network was established for the modification of moulds and it proved efficient in improving the quality of modification process for moulds.