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Fundamental studies for development of real-time model-based feedback control with model adaptation for small scale resistance spot welding.

机译:开发基于实时模型的基于反馈的控制模型的基础研究,该模型适用于小规模电阻点焊。

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摘要

Small scale resistance spot welding (SSRSW) is extensively used in electronic and biomedical devices manufacturing. The process has its own features that are quite different from normal scale RSW process. These features bring difficulties in the reliable monitoring and control of the process. A real-time model-based feedback control with model adaptation has been proposed for the quality assurance of the process. Several aspects of the model were studies.; Monitoring is the first step for a successful control. An optical sensor was used for workpiece thickness and electrode displacement measurement. A load cell was placed at the bottom of lower electrode seat to record the clamping and change of clamping force in welding. The welding current and voltage were also measured. From these signatures it is an easy task to monitor the occurrence of expulsion in the process. The weld nugget size can also be related to electrode displacement. Specifically, through observing the electrode separation using a high-speed video camera, it is confirmed that the nugget size is more closely related to high-speed part of the electrode displacement curve. The way the optical sensor was implemented introduced measurement noise. However, the true displacement can be recovered by identification of the sensor holder system model followed by feeding of measured displacement to this model. This way a reliable displacement measurement was obtained that is suitable for the utilization of a real-time control.; The interaction between the primary process and the welding machine affects welding quality. Future real-time control must consider this interaction, because this interaction also influences the measured value of the process variables. A more flexible machine will allow the electrodes to separate more under the pushing force of heated materials than a more rigid welding machine. Due to the interaction between different part of welding machine and the primary process, some measurable process variables might not be independent to each other.; Analytical heat transfer model for the process was constructed using a one- and two-dimensional formulation. Temperature field and history were obtained.; Finally, future scope is projected in the development of the proposed control for SSRSW process.
机译:小规模电阻点焊(SSRSW)广泛用于电子和生物医学设备的制造。该过程具有其自身的功能,与正常规模的RSW过程完全不同。这些功能给可靠的过程监控带来了困难。为了保证过程的质量,已经提出了一种基于实时的,具有模型适应性的基于反馈的反馈控制。该模型的几个方面进行了研究。监视是成功控制的第一步。光学传感器用于工件厚度和电极位移测量。在下部电极座的底部放置一个称重传感器,以记录焊接过程中的夹紧力和夹紧力的变化。还测量了焊接电流和电压。通过这些签名,可以轻松地监视过程中驱逐的发生。焊接熔核的大小也可能与电极的位移有关。具体而言,通过使用高速摄像机观察电极分离,确认了熔核大小与电极位移曲线的高速部分更紧密相关。光学传感器的实现方式引入了测量噪声。但是,可以通过识别传感器支架系统模型,然后将测量的位移输入该模型来恢复实际位移。这样,获得了可靠的位移测量值,适合实时控制的利用。初级过程和焊接机之间的相互作用会影响焊接质量。将来的实时控制必须考虑这种相互作用,因为这种相互作用也会影响过程变量的测量值。与更刚性的焊接机相比,更灵活的机器将使电极在加热的材料的推动下分离更多。由于焊接机的不同部分和主要过程之间的相互作用,一些可测量的过程变量可能彼此不独立。使用一维和二维公式构建该过程的分析传热模型。获得温度场和历史。最后,在拟议的SSRSW过程控制的开发中将规划未来的范围。

著录项

  • 作者

    Chen, Jianzhong.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Engineering Materials Science.; Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 170 p.
  • 总页数 170
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 工程材料学;机械、仪表工业;
  • 关键词

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