基于质量流模型的关联多工序制造过程加工质量研究  

Machining Quality Analysis Based on Quality Flow Model in Correlation Multi-process System

作　　者：王菲[1] 陈明 WANG Fei;CHEN Ming(Xi’an Polytechnic University,School of Computer Science,Xi’an 710600,China;Hunan Yunjian Group Co.,Ltd.,Changshan 410000,China)

机构地区：[1]西安工程大学计算机科学学院,陕西西安710600 [2]湖南云箭集团有限公司,湖南长沙410000

出　　处：《机械制造与自动化》2020年第2期22-24,59,共4页Machine Building & Automation

基　　金：国家自然科学基金资助项目(51675108);广东省计算机集成制造重点实验室开放基金项目(CIMSOF2016001)。

摘　　要：为了提升智能车间工件加工质量的合格率,考虑到相邻工序间的加工质量传递的影响,提出一种基于质量流模型的关联多工序制造过程加工质量分析模型。根据工件加工流程建立多工序制造过程质量流模型,识别出影响制造过程质量的瓶颈工序;根据制造过程参数提出了加工质量修改建议;通过某智能车间零部件工作缸的生产过程进行验证,由该模型计算出的工件加工合格率与历史数据相比,相对误差为0.35%。实验表明,该模型可以反映实际生产制造的过程,验证了模型的实用性。To improve the qualified product rate in intelligent workshop,considering the influence of each process on the machining product quality,this paper proposes a quality analysis model based on quality flow model.The quality flow model for multi-process manufacturing process is established according to the parts processing process.The bottleneck process that affects the quality in the manufacturing process is identified.And,according to the parameters of the manufacturing process,suggestions for modification of processing quality are made.Then,the model is verified in the production process of working cylinder for parts in the intelligent workshop.The qualified product rate calculated by this model is compared with the historical data,its error rate is 0.35%.Experiments show that the model can be used to reflect the actual manufacturing process,and its practicability is verified.

关 键 词：智能车间 制造过程 质量分析 质量流模型 

分 类 号：TH161[机械工程—机械制造及自动化]