摘要
综合考虑关联工序间质量传递与来料质量以及机器加工状态的影响,结合时变参数多工序制造系统特点,提出了马尔科夫模型对暂态阶段产品质量进行建模分析。建立了关联两工序时变制造系统的暂态质量模型,提出质量性能指标如产品质量动态运行状况、平稳时间等。将两工序模型拓展为关联多工序暂态质量模型,提出基于聚合的迭代算法进行高效求解,从而全面掌握暂态和稳态下制造系统质量运行规律,提高产品质量。通过对国内某型号火箭航天阀门壳体制造系统的实例分析,验证了所提出模型的实用性和有效性。
This paper aimed to evaluate quality performance in multi-stage manufacturing systems during transients.Considering the quality propagation between coupling successive stages with the effects of coming product quality and machine status, and multi-stage manufacturing systems with time-varying parameters,an analytical method was proposed based on Markov model to analyse quality performance in manufacturing systems with remote quality information feedback during transients. Based on the proposed mathematical model, closed expressions for evaluating transient quality performance including the real-time system quality, settling time, were formulated. An aggregation based iterative procedure was presented to solve the correlated multi-stage mathematical model with high accuracy, which facilitates fully understanding of quality performance during transients and steady state for quality improvement.The proposed approach was verified with case study on the valve shell factory floor, and the results showed the effectiveness and applicability for transient quality evaluation in multi-stage manufacturing systems with time-varying parameters.
作者
刘师宏
杜世昌
奚立峰
LIU Shihong;DU Shichang;XI Lifeng(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《机械设计与研究》
CSCD
北大核心
2020年第5期158-163,共6页
Machine Design And Research
基金
国家自然科学基金资助项目(51775343)。
关键词
多工序制造系统
暂态阶段
产品质量
马尔科夫模型
时变参数
multi-stage manufacturing systems
transients
product quality
Markov model
time-varying parameters
