基于混合遗传蚁群优化随机森林算法的激光熔覆Ni60裂纹预测与工艺参数优化

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中图分类号：TG174.4；TP391.7DOI：10.3969/j.issn.1004-132X.2025.06.019 开放科学（资源服务）标识码（OSID）：

Prediction of Cracks and Optimization of Processing Parameters in Laser Cladding of Ni60 Based on HGA-ACO-RFA

LI Tao DENG Linhui*MO Bin SHI Feifan LIU Weiwei School of Mechanical Engineering，Dalian University of Technology，Dalian，Liaoning，116024

Abstract： To explore the complex nonlinear mapping relationship between the cracks in the cladding layer and the processing parameters during laser cladding of Ni6o，the entropy method combined with TOPSIS comprehensive evaluation method was used to comprehensively characterize and evaluate the cracks in the cladding layers. The HGA-ACO was used to optimize the hyperparameters of the RFA，and a prediction model between processing parameters and crack evaluation indicators was constructed. Finally，the genetic algorithm was used for reverse optimization of processing parameters. Results show that compared with the ACO-RFA model， HGA-ACO-RFA significantly improves prediction accuracy and evaluation indicators，and the optimal processng parameters obtained through reverse optimization may prepare almost crack free cladding layers.

Key words： laser cladding; crack;evaluation method; hybrid genetic ant colony algorithm（HGAACO）；random forest algorithm（RFA）

0 引言

激光熔覆技术以高能激光束为热源，以惰性气体为保护气，将粉末、丝材等金属或陶瓷材料与基体表面同时快速熔凝，形成一层牢固的冶金结合涂层。（剩余11019字）