Automatic sorting of lightweight metal scrap by sensing apparent density and three-dimensional shape
Automatic sorting of lightweight metal scrap by sensing apparent density and three-dimensional shape
复制标题
通过感测表观密度和三维形状自动分选轻质金属废料
DOI：
10.1016/j.resconrec.2009.10.014
复制
发表时间：
2010
影响因子：
13.2
通讯作者：
Kenichiroh Kobayashi
中科院分区：
文献类型：
--
作者：
S. Koyanaka;Kenichiroh Kobayashi
一种自动分类轻质金属废料的新方法已被开发出来，以帮助废金属的回收利用。该分选系统能够根据相对较大的金属件的表观密度和三维 (3D) 形状的差异进行分离。沿着传送带移动的不规则形状金属件的宽度、高度、体积和投影面积等形状参数通过 3D 成像相机系统进行测量，该系统由线性激光器和具有相关光学器件的相机组成。重量和形状参数的测量值被传输到我们自己的使用多变量分析的数据处理软件。根据数据处理软件的输出对来自报废车辆粉碎机设施的铸铝、锻铝和镁的混合碎片进行分类。结果表明，所开发的自动分选系统是一种高度可行的方法，可以取代传统的重介质分离和手动分选。
A new method for the automatic sorting of lightweight metal scrap has been developed to aid the recycling of scrap metal. The sorting system enables separation of relatively large metal pieces according to the differences in their apparent density and three-dimensional (3D) shape. Shape parameters such as width, height, volume, and projected area of irregular-shaped metal pieces moving along a conveyer are measured by means of a 3D imaging camera system consisting of a linear laser and camera with associated optics. The measured values of the weight and shape parameters are transferred to our own data-processing software that uses multivariate analysis. Mixed fragments of cast aluminum, wrought aluminum, and magnesium from an end-of-life vehicles shredder facility were sorted based on the output of the data-processing software. The results show that the developed automatic sorting system is a highly viable method that could replace conventional dense medium separation and manual sorting.