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A weighted-coupled network-based quality control method for improving key features in product manufacturing process

机译:基于加权耦合网络的质量控制方法,用于改善产品制造过程中的关键特征

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摘要

There are some complicated coupling relations among quality features (QFs) in manufacturing process. Generally, the machining errors of one key feature may cause some errors of other features which are coupled with the key one. Considering the roles of key QFs, the weighted-coupled network-based quality control method for improving key features is proposed in this paper. Firstly, the W-CN model is established by defining the mapping rules of network elements (i.e. node, edge, weight). Secondly, some performance indices are introduced to evaluate the properties of W-CN. The influence index of node is calculated to identify the key nodes representing key features. Thirdly, three coupling modes of nodes are discussed and coupling degrees of key nodes are calculated to describe the coupling strengthen. Then, the decoupling method based on small world optimization algorithm is discussed to analyze the status changes of key nodes accurately. Finally, a case of engine cylinder body is presented to illustrate and verify the proposed method. The results show that the method is able to provide guidance for improving product quality in manufacturing process
机译:在制造过程中,质量特征(QF)之间存在一些复杂的耦合关系。通常,一个关键特征的加工误差可能会导致与关键特征耦合的其他特征的某些误差。考虑到关键QF的作用,提出了一种基于加权耦合网络的质量控制方法,以改善关键特征。首先,通过定义网络元素(即节点,边缘,权重)的映射规则来建立W-CN模型。其次,引入一些性能指标来评估W-CN的性能。计算节点的影响指数以识别代表关键特征的关键节点。第三,讨论了节点的三种耦合方式,并计算了关键节点的耦合度,以描述耦合强度。然后,讨论了基于小世界优化算法的去耦方法,以准确分析关键节点的状态变化。最后,以发动机缸体为例,说明并验证了所提出的方法。结果表明,该方法能够为提高生产过程中的产品质量提供指导。

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