Dongyang Wang , Xiongjie Zhang , Bin Qiu , Hongze Liu , Wenming Dong , Bao Wang , Ziyan Yu , Qiang Hu , Qi Liu , Renbo Wang , Bin Tang
{"title":"A material identification method for waste metals based on multi-energy X-ray transmission","authors":"Dongyang Wang , Xiongjie Zhang , Bin Qiu , Hongze Liu , Wenming Dong , Bao Wang , Ziyan Yu , Qiang Hu , Qi Liu , Renbo Wang , Bin Tang","doi":"10.1016/j.radphyschem.2025.113297","DOIUrl":null,"url":null,"abstract":"<div><div>Accurate material identification is critical for non-destructive and high-throughput metal recycling systems. Conventional dual-energy X-ray transmission (DE-XRT) techniques often struggle to distinguish metals with similar atomic numbers or variable thicknesses, limiting their effectiveness in automated sorting applications. In this study, a multi-energy X-ray transmission (ME-XRT) method is proposed, which defines three functional energy regions—normalization, material-specific, and thickness-sensitive—to extract spectral features relevant to both classification and thickness estimation. An experimental system based on a CdTe photon-counting detector was developed to acquire full-spectrum transmission data from stepped aluminum, iron, and copper samples. The method achieved accurate material identification across wide thickness ranges and demonstrated strong linear correlations between spectral features and material thickness. Compared to DE-XRT, the ME-XRT approach provided superior performance, particularly in differentiating compositionally similar metals. These results confirm the potential of ME-XRT as a reliable, non-invasive technique for advanced waste metal detection, offering practical value for intelligent recycling systems and sustainable resource recovery.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"239 ","pages":"Article 113297"},"PeriodicalIF":2.8000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation Physics and Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0969806X25007893","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate material identification is critical for non-destructive and high-throughput metal recycling systems. Conventional dual-energy X-ray transmission (DE-XRT) techniques often struggle to distinguish metals with similar atomic numbers or variable thicknesses, limiting their effectiveness in automated sorting applications. In this study, a multi-energy X-ray transmission (ME-XRT) method is proposed, which defines three functional energy regions—normalization, material-specific, and thickness-sensitive—to extract spectral features relevant to both classification and thickness estimation. An experimental system based on a CdTe photon-counting detector was developed to acquire full-spectrum transmission data from stepped aluminum, iron, and copper samples. The method achieved accurate material identification across wide thickness ranges and demonstrated strong linear correlations between spectral features and material thickness. Compared to DE-XRT, the ME-XRT approach provided superior performance, particularly in differentiating compositionally similar metals. These results confirm the potential of ME-XRT as a reliable, non-invasive technique for advanced waste metal detection, offering practical value for intelligent recycling systems and sustainable resource recovery.
期刊介绍:
Radiation Physics and Chemistry is a multidisciplinary journal that provides a medium for publication of substantial and original papers, reviews, and short communications which focus on research and developments involving ionizing radiation in radiation physics, radiation chemistry and radiation processing.
The journal aims to publish papers with significance to an international audience, containing substantial novelty and scientific impact. The Editors reserve the rights to reject, with or without external review, papers that do not meet these criteria. This could include papers that are very similar to previous publications, only with changed target substrates, employed materials, analyzed sites and experimental methods, report results without presenting new insights and/or hypothesis testing, or do not focus on the radiation effects.