On-Line Defect Detection of Aluminum Coating Using Fiber Optic Sensor

用喷洒的涂层为的铝 metallization 用尽低碳钢(MS ) 拖拉机的管子为避免的一个标准惯例正在生锈。薄金属上衣的补丁对生锈敏感并且因此在表面涂层被看作缺点。这份报纸报导纤维的一种新奇配置为联机检查的眼的传感器铝 metallization 一致性并且因此为缺点察觉。明亮， 440 nm 蓝色带了的最佳地选择的高度(轻射出的二极管) 发射光进在 60 瑮潩 ? 潧晡瀠敲楤瑣潩的角度使倾向的播送纤维吗？

Aluminum metallization using the sprayed coating for exhaust mild steel （MS） pipes of tractors is a standard practice for avoiding rusting. Patches of thin metal coats are prone to rusting and are thus considered as defects in the surface coating. This paper reports a novel configuration of the fiber optic sensor for on-line checking the aluminum metaUization uniformity and hence for defect detection. An optimally chosen high bright 440 nm BLUE LED （light-emitting diode） launches light into a transmitting fiber inclined at the angle of 60° to the surface under inspection placed adequately. The reflected light is transported by a receiving fiber to a blue enhanced photo detector. The metallization thickness on the coated surface results in visually observable variation in the gray shades. The coated pipe is spirally inspected by a combination of linear and rotary motions. The sensor output is the signal conditioned and monitored with RISHUBH DAS. Experimental results show the good repeatability in the defect detection and coating non-uniformity measurement.