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为提高企业生产的自动化程度和竞争力,提出了利用知识与数学建模相结合的方法来建立炼钢成分设计专家系统。该专家系统由知识库、迭代模型、工艺模型及轧制模型构成。根据用户的输入信息,利用经验和启发性知识,生成符合用户产品质量要求的炼钢目标成分。再利用生成的炼钢目标成分预测成品的力学性能,并通过轧制中钢显微组织演变的数学模型对目标成分进行评估,得到的最终热轧产品的力学性能。该系统具有很好的实用性,能够增加评估结果的准确性,协助工程师快速确定满足客户特殊要求的炼钢目标成分以及优化热轧工艺,从而提高新产品的开发效率。该系统的开发对钢铁企业的新产品开发具有重要意义。
In order to improve the degree of automation and competitiveness of production, a method of combining knowledge and mathematical modeling is proposed to establish a steelmaking ingredient design expert system. The expert system consists of knowledge base, iterative model, process model and rolling model. According to the user’s input information, the use of experience and enlightening knowledge to generate user’s product quality requirements of the steelmaking target components. Then the mechanical properties of the finished product are predicted by using the generated steelmaking target components. The mechanical properties of the finished hot rolled product are obtained through the mathematical model of the rolling steel microstructure evolution. The system is highly functional and can increase the accuracy of assessment results, assist engineers to quickly identify the steelmaking target components that meet specific customer requirements, and optimize the hot rolling process to improve the efficiency of new product development. The development of this system is of great significance to the development of new products in steel enterprises.