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Algorithms on determining the correlation laws between ultrasonic images and quality of spot welds.

机译：确定超声图像与点焊质量之间相关性规律的算法。

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摘要

Conventional quality control devices for spot welding cannot perform on-line inspection and provide feedback to the welding control system. In this way, the traditional quality control systems are similar to statistical welding parameters monitoring systems. It is imperative to combine the idea of on-line quality inspection with closed-loop feedback control in a robust control system. However, there is no single acoustic method to date capable of manipulating real-time control and on-line quality inspection, concurrently, since specific procedures (e.g. scanning time and adjustment time) need to be adopted by traditional acoustic microscopes to retrieve proper information, and these procedures tend to disable the real-time and on-line capability of acoustic microscopy.; With recent hardware improvements, the novel portable acoustic device is able to reduce the scanning time to real-time fashion without losing any significant data. On the other hand, the adjustment time of the portable acoustic device can be reduced noticeably by employing intelligent control software instead of human operators. This new hardware-software configuration will be an ideal approach to the on-line, real-time nondestructive inspection of spot welds. The primary goal of this research is to develop an intelligent system to accomplish the on-line, real-time nondestructive inspection for spot welds. The following objectives were fulfilled to reach the final goal. (1) Classification of the acoustic images of spot welds. (2) Quantification of acoustic information as parameters. (3) The study of the influence of each parameter on the strength of spot welds. (4) Identification of important and significant parameters. (5) Integration of these parameters into the knowledge base of the software.; The system developed can be an on-line advisor that is capable of providing critical information about the quality of spot welds during the process. Furthermore, this system is able to render warning signals to the process control unit to prevent further mistakes.
机译：传统的用于点焊的质量控制设备无法执行在线检查，也无法向焊接控制系统提供反馈。这样，传统的质量控制系统类似于统计焊接参数监控系统。当务之急是将在线质量检查与闭环反馈控制相结合，形成一个强大的控制系统。但是，迄今为止，还没有一种声学方法能够同时进行实时控制和在线质量检查，因为传统的声学显微镜需要采用特定的程序（例如扫描时间和调整时间）来检索适当的信息，这些程序往往会禁用声学显微镜的实时和在线功能。通过最近的硬件改进，新型便携式声学设备能够将扫描时间减少到实时状态，而不会丢失任何重要数据。另一方面，通过采用智能控制软件代替人工操作，可以明显减少便携式音响设备的调节时间。这种新的硬件-软件配置将是在线，实时，无损检测点焊的理想方法。这项研究的主要目的是开发一种智能系统，以完成点焊的在线实时无损检测。为了达到最终目标，实现了以下目标。 （1）点焊的声像分类。 （2）量化声音信息作为参数。 （3）研究每个参数对点焊强度的影响。 （4）识别重要和重要参数。 （5）将这些参数集成到软件的知识库中。开发的系统可以是在线顾问，该顾问能够提供有关过程中点焊质量的关键信息。此外，该系统能够向过程控制单元提供警告信号，以防止进一步的错误。

著录项

  • 作者

    Lee, Hsu-Tung.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 156 p.
  • 总页数 156
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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