关键词: 汽车用棒材轧制；氧化黑带宽度；图像处理；智能测量

Abstract: Ear defects are a common type of defect in bar rolling and are difficult to eliminate. In order to achieve intelligent prediction and guide the elimination of ear defects, this article observes that during the rolling process, the part of the bar in contact with air will be oxidized by air, forming a black strip like surface. The narrower the width of the black band, the easier it is to produce ears. However, there is currently almost no research on the automatic measurement of the width of the black belt. In actual production, the measurement of the width of the Huff surface mainly relies on manual visual inspection, which has a high degree of subjective randomness. This article proposes a method based on high-speed cameras to quickly capture images. By recognizing the images, the width of the oxidation black belt on the Huff surface can be intelligently measured, which can provide data support for the optimization of related subsequent process parameters and has important engineering significance for further guiding industrial production.

Key words: Rolling of automotive bars; Width of oxidation black belt; Image processing; Intelligent measurement