Engineering Faculty Internship: Adaptive Weld Penetration Control of Gas Turbine Engine Materials Joining Based on Vision Sensing

小行星9412637 主要研究者将与以下机构的代表合作： 工业上的自适应焊接原型的发展 基于视觉传感的穿透控制器。 该研究为薄板焊缝熔深控制提供了一种新的方法。 该方法与以往的方法不同之处在于：（1）采用了一种改进的方法，利用脉冲激光作为照明光源辅助超高快门速度的摄像机来检测熔池及其周围区域;（2）采用了一种更有效的图像处理算法（焊接熔池边界的提取在小于100毫秒内完成）;（3）焊接熔池几何形状、接头熔深和焊接工艺参数的基于模型的关系;（4）一种新的鲁棒自适应控制器。 控制系统将克服关节的影响 几何形状、不匹配和厚度变化对焊接质量的影响 镍基和钛合金的厚度范围从 一毫米到两毫米。

9412637 Kovacevic The principal investigator will work with representatives of industry on the development of the prototype of an adaptive weld penetration controller based on vision sensing. The research is a novel approach for controlling weld bead penetration, specifically for the thin plates is proposed. The methodology is distinguished from past approaches by the use of (1) an improved method for sensing the weld pool and its surrounding area using an ultra-high shutter speed camera assisted with pulsating laser as an illumination source; (2) a more effective algorithm for image processing (the extraction of the weld pool boundary is done in less that 100 milliseconds); (3) a model-based relation of the weld pool geometry, joint penetration, and welding process parameters; and (4) a newly developed robust adaptive controller. The control system will overcome the influence of joint geometry, mismatching, and thickness variation on the weld quality of nickel-based and titanium alloys with thicknesses ranging from one millimeter to two millimeters.