定向凝固铸造过程质量控制自学习专家系统

为了提高某航空材料定向凝固铸造过程工艺参数给定准确度和缺陷诊断能力，提出了一种根据生产数据、产品缺陷诊断结果和有限元数值模拟数据进行自学习的铸造过程质量控制专家系统，使得系统在铸造过程中能不断对过去的经验进行学习，并且解决了在规则库规则不完整和信息不完全的情况下进行推理的问题。试验结果表明，该系统能很好的应对生产过程的动态变化，提高了缺陷诊断能力，减少了产品次品率。

Adaptive-learning Expert System for Quality Control in the Process of Directional Solidification

To improve accuracy of technological parameters and defect diagnosis ability for an aeronautical material during the process of directional solodofocation, an adaptive-learning expert system for the quality control is proposed utilizing the production data, diagnostic results of defects and numerical simulation data using finite element technology, The system can not only constantly learn from experience but also skillfully reason when the knowledge and rule information are incomplete, Experimental results show that this system can successfully meet the dynamic condition in production, improve the defect analyzing ability and decrease rejection ratio.