摘要
针对离散制造系统随机性、多样性以及复杂性的特点,高效、准确地识别系统质量风险因素并进行质量风险量化评估是制定相应质量控制活动、提高产品质量的关键。为此,首先构建模糊着色Petri网的产品质量风险评估模型。然后,确定模糊推理规则,并通过现场获取的置信度经验值进行模糊推理,计算得出中间库所和终止库所的置信度。最后,以汽车顶盖冲压工艺过程为例进行分析,验证了该模型的合理性,并且可推广应用到其他同类离散制造过程。
In view of the characteristics of randomness,diversity and complexity of discrete manufacturing systems,efficiently and accurately identifying system quality risk factors and conducting quantitative assessment of quality risks are crucial to developing corresponding quality control activities and improving product quality.In this research,firstly a product quality risk assessment model for Fuzzy Colored Petri Nets was constructed.Then the fuzzy inference rules were determined,and the confidence of the intermediate library and the terminating library was calculated by fuzzy reasoning through the confidence empirical value obtained at the scene.Finally,the automotive top cover stamping process was analyzed as an example to verify the rationality of the model proposed in this paper,which can be applied to other similar discrete process manufacturing.
作者
赵家黎
吴丹
郜肖盼
代燕霞
Zhao Jiali;Wu Dan;Gao Xiaopan;Dai Yanxia(School of Mechanical and Electronical Engineering,Lanzhou University of Technology,Lanzhou 730050)
出处
《汽车工艺与材料》
2024年第5期49-58,共10页
Automobile Technology & Material
基金
国防科技工业局国防基础科研计划(JCKY2019427D002)。
