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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Real-time detection of grip length deviation during pull-type fastening: a Mahalanobis–Taguchi System (MTS)-based approach
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Real-time detection of grip length deviation during pull-type fastening: a Mahalanobis–Taguchi System (MTS)-based approach

机译:牵引式紧固过程中抓握长度偏差的实时检测:基于Mahalanobis-Taguchi系统(MTS)的方法

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摘要

In this study, a Mahalanobis–Taguchi system (MTS)-based diagnostic and root cause analysis scheme for monitoring grip length of pull-type fasteners in real-time is presented. The proposed approach is implemented on a fastening tool integrated with a strain gage, a linear variable differential transformer, a pressure sensor, and a mote for wireless communication. Experiments show that the process signature of strain-over-displacement ratio versus displacement has unique features that can be used to determine the grip length related deviations. The proposed approach takes as input various characteristics, such as peak strain, peak displacement, and depth and width of a bowl-shaped dip on the process signature in order to make real-time decisions. The experiments show that the proposed approach is effective in determining grip length deviations and in communicating the decision in real-time via a wireless network to a base station. Overall, the proposed architecture has merits to (1) detect quality problems in real-time during the fastening process and (2) reduce post-process inspection, thereby improving quality while reducing cost. In addition, the approach facilitates 100% data collection on each fastener as opposed to traditional statistical process control (SPC) techniques, which rely on sampling.
机译:在这项研究中,提出了一种基于Mahalanobis-Taguchi系统(MTS)的诊断和根本原因分析方案,用于实时监控拉式紧固件的抓握长度。所提出的方法在与应变计,线性可变差动变压器,压力传感器和用于无线通信的节点集成的紧固工具上实施。实验表明,应变-位移比与位移的过程特征具有独特的功能,可用于确定与夹具长度有关的偏差。所提出的方法将各种特征作为输入,例如峰值应变,峰值位移以及过程签名上碗状凹陷的深度和宽度,以便做出实时决策。实验表明,所提出的方法在确定抓地力长度偏差以及通过无线网络将信息实时传达给基站方面是有效的。总体而言,所提出的体系结构具有以下优点:(1)在紧固过程中实时检测质量问题;(2)减少后处理检查,从而在降低成本的同时提高质量。此外,与依靠采样的传统统计过程控制(SPC)技术相反,该方法有助于在每个紧固件上100%收集数据。

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