{"title":"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","authors":"Qiang Liang , Yonghang Xu , Binyuan Xu , Yanbin Du","doi":"10.1016/j.optlastec.2024.111755","DOIUrl":null,"url":null,"abstract":"<div><p>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 B<sub>4</sub>C 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 TiB<sub>2</sub>/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<sub>1.0</sub>. 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.</p></div>","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parameter optimization for in-situ synthesized TiB2/TiC particle composite coatings by laser cladding based on OOA-RFR and U-NSGA-III\",\"authors\":\"Qiang Liang , Yonghang Xu , Binyuan Xu , Yanbin Du\",\"doi\":\"10.1016/j.optlastec.2024.111755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 B<sub>4</sub>C 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 TiB<sub>2</sub>/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<sub>1.0</sub>. 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.</p></div>\",\"PeriodicalId\":4,\"journal\":{\"name\":\"ACS Applied Energy Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Energy Materials\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0030399224012131\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0030399224012131","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Parameter optimization for in-situ synthesized TiB2/TiC particle composite coatings by laser cladding based on OOA-RFR and U-NSGA-III
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 HV1.0. 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.
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.
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