基于红外光图像的报废汽车非磁金属回收利用技术研究

doi:10.11896/cldb.24110020

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Abstract Traditional physical separation technologies, such as magnetic separation, eddy current separation, and density separation, struggle to effectively separate non-magnetic metals from mixed materials in end-of-life vehicles. Thiswork proposed an efficient non-magnetic metal separation method for end-of-life vehicles based on infrared images. Focused on the thermal imaging images of copper, aluminum, and stainless steel fragments from end-of-life vehicles, systematically discussed the impact of different materials on recognition accuracy under various temperature and emissivity conditions using the response surface method. Through experiments, the optimal process parameters for acquiring thermal imaging images of copper, aluminum, and stainless steel mixtures were determined as fellows: the heating table temperature is 326.89 ℃, the emissivity of the thermal imager is 0.89, the predicted mAP50 and mAP50-95 values are 0.994 2 and 0.904 0, respectively. This findings provide an effective technical approach for identifying copper, aluminum, and stainless steel in mixtures, thereby enhancing material recovery efficiency and economic value.

Key words： end-of-life vehicles non-magnetic metal recovery infrared thermal imaging YOLO algorithm classification recognition

Published: Online: 2025-10-27

CLC number:

TP319

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	Articles by authors
	JIA Youdong
	LIU Jianxiong
	LI Xinzhi
	YAO Sibo
	LI Zhengfang
	ZENG Jiaxing

Cite this article:

JIA Youdong,LIU Jianxiong,LI Xinzhi, et al. Research on Non-magnetic Metal Recycling Technology of End-of-life Vehicles Based on Infrared Image[J]. Materials Reports, 2025, 39(20): 24110020-8.

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https://www.mater-rep.com/EN/10.11896/cldb.24110020 OR https://www.mater-rep.com/EN/Y2025/V39/I20/24110020

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