In Process Identification and Correction of Weld Perturbations

本课题研究的是焊接过程的动态控制。研究的目的是对焊接过程的两个变量进行同时自适应控制。这将通过使用先进的红外传感技术来监测熔池附近的热场来实现。虽然理论解和实验结果都足以实现对一个焊接变量的动态控制，如焊缝跟踪，但同时识别、分类和校正两个或多个扰动在理论和实践分析中是一个巨大的问题。这项研究将开发理论和实验工具，以识别、分类和理解由于两个或更多缺陷同时相遇而导致的表面温度分布的变化。提出了热传导的理论模型来描述过程中同时扰动时的表面温度分布。将开发分析热场的计算机分层方法和控制响应的实现。这项研究的最终结果将是促进未来机器生产的科学基础的进步，这些机器能够消除有缺陷的焊接并提高焊接过程的生产率。

This project deals with the dynamic control of the welding process. The objective of the research is to investigate simultaneous adaptive control over two variables of the welding process. This will be accomplished by using advanced infrared sensing techniques to monitor the thermal field in the vicinity of the weld pool. While both theoretical solutions and experiment agree sufficiently to enable dynamic control of one weld variable such as seam tracking, the simultaneous identification, sorting and correction of two or more perturbations presents an immense problem in theoretical and practical analysis. This research will develop theoretical and experimental tools to identify, sort and understand changes in surface temperature distributions resulting from the simultaneous encountering of two or more defects. Theoretical models of heat transfer will be advanced to describe the surface temperature distribution for simultaneous perturbations in the process. Computer hierarchial methods of analyzing the thermal fields and the implementation of the control responses will be developed. The ultimate result of this research will be the advancement of the scientific basis upon which future machines may be produced that are capable of eliminating defective welds and increasing the productivity of the welding process.