Parameter optimization for in-situ synthesized TiB2/TiC particle composite coatings by laser cladding based on OOA-RFR and U-NSGA-III

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-09-09 DOI:10.1016/j.optlastec.2024.111755

Qiang Liang , Yonghang Xu , Binyuan Xu , Yanbin Du

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引用次数: 0

Abstract

During laser cladding, the in-situ synthesis of ceramic particles in the coatings can further enhance the performance of the coatings. However, current research lacks a method to predict and optimize the in-situ synthesized composite coatings. Therefore, in this paper, laser power, scanning speed, powder feeding speed, overlap rate, and the content of Ti and B₄C mixed powder were used as experimental factors to optimize the powder utilization, surface flatness, and microhardness of the coatings. The random forest optimized by the osprey optimization algorithm was used as the predictive model and the unified non-dominated sorting genetic algorithm III was used for optimization. The microhardness of the optimized coatings was enhanced due to the in-situ synthesized TiB₂/TiC particles, and the particles were dispersed within the composite coating. The powder utilization of the composite coating under the optimum process parameters was 72.18%, the surface flatness was 81.96% and the microhardness was 712.3 HV_1.0. The relative errors were all lower than 3%, and the hardness was 5.76% higher than that of the substrate. Therefore, this method can provide a reference for the optimization of process parameters for in-situ synthesized composite coatings.

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基于 OOA-RFR 和 U-NSGA-III 的激光熔覆原位合成 TiB2/TiC 粒子复合涂层的参数优化

在激光熔覆过程中，涂层中陶瓷颗粒的原位合成可以进一步提高涂层的性能。然而，目前的研究缺乏对原位合成复合涂层进行预测和优化的方法。因此，本文将激光功率、扫描速度、送粉速度、重叠率以及 Ti 和 B4C 混合粉的含量作为实验因素，以优化涂层的粉末利用率、表面平整度和显微硬度。采用osprey优化算法优化的随机森林作为预测模型，并使用统一非支配排序遗传算法III进行优化。由于原位合成了 TiB2/TiC 颗粒，且颗粒分散在复合涂层中，因此优化涂层的显微硬度得到了提高。在最佳工艺参数下，复合涂层的粉末利用率为 72.18%，表面平整度为 81.96%，显微硬度为 712.3 HV1.0。相对误差均小于 3%，硬度比基体高 5.76%。因此，该方法可为原位合成复合涂层的工艺参数优化提供参考。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.