关键词: 真空注型, 质量控制, 实例推理, 神经网络, 模糊推理

Abstract: The Vacuum Casting (VC) process is a typical interval process of multi-variable and non-linear,and most of the traditional process parameters setting mainly depend on experience of operators,which is difficult to control the quality of VC products.For this problem,the intelligent quality controlling system for VC was constructed by combining with Case-Based Reasoning (CBR),Neural Network-Based Reasoning (NNR) and Fuzzy-Based Reasoning (FBR).The module structure was adopted by this system,in which the automated retrieval of CBR module's cases process parameters was realized,the relation model between geometry feature and process parameters for NNR module's cases process parameters was established,and the intelligent correction of FBR module's cases process parameters was realized.The system was applied to physical VC machine,and the result showed the feasibility and reliability of the proposed system.

Key words: vacuum casting, quality control, case-based reasoning, neural network-based reasoning, fuzzy-based reasoning