电焊机2026，Vol.56Issue(3)：73-81,9.DOI:10.7512/j.issn.1001-2303.2026.03.10
基于谱线比纹理图的激光能量沉积稀释率实时评估
Real-time Evaluation of Laser Energy Deposition Dilution Rate based on Spectral Line Ratio Texture Maps
摘要
Abstract
To address the challenge of real-time and reliable evaluation of the strength of laser-directed energy deposition(LDED)clad layers,this paper proposes a real-time evaluation method for laser energy deposition dilution rate based on the time-scale texture map of the spectral line ratio using a dual-channel photomultiplier tube(PMT).A developed dual-channel narrow-band filter-PMT acquisition system is utilized to achieve synchronous collection of plasma spectral signals from sub-strate alloy elements and cladding powder alloy elements.Furthermore,by employing multi-scale sliding windows,the one-dimensional spectral line ratio signal is converted into a two-dimensional texture map,effectively preserving the dynamic structure and temporal correlation of the spectral signals.Finally,an improved deep learning network for dilution rate classi-fication,named SK-D ResNet,is proposed,which integrates deformable convolution with the SKAttention mechanism.Veri-fication results show that the network achieves a classification accuracy of 98.03%on the test set,representing an improve-ment of more than 4.77%compared to traditional convolutional networks.The proposed method provides an effective solu-tion for reliable and high-precision monitoring of LDED repair and manufacturing processes for critical components of ma-jor equipment in fields such as nuclear energy.关键词
激光定向能量沉积/光电倍增管/等离子体光谱/稀释率Key words
laser directed energy deposition/photomultiplier tube/plasma spectroscopy/dilution rate分类
矿业与冶金引用本文复制引用
张志芬,王杰,白子健,张琦,温广瑞,林益文..基于谱线比纹理图的激光能量沉积稀释率实时评估[J].电焊机,2026,56(3):73-81,9.基金项目
核能增材制造四川省级重点实验室开放课题(K9011027001-05-FWHT-WU-20240433) （K9011027001-05-FWHT-WU-20240433）
