{"title":"宽波段激光熔覆的熔池建模和热场模拟","authors":"Bin Hu, Jianhai Han, Xiangpan Li, Junhua Wang","doi":"10.1117/1.OE.62.11.116103","DOIUrl":null,"url":null,"abstract":"Abstract. The accuracy of thermal analysis modeling for direct energy deposition is compromised if the Marangoni effect is ignored. The anisotropic enhanced thermal conductivity approach can improve the fidelity of the transient finite element (FE) thermal model, but the determination of the enhanced factors is generally based on empirical knowledge or trial and error. In this study, single track cladding experiments were conducted at different process parameters, the cladding process was recorded by an infrared camera, and the melt pool width and length were extracted from the infrared images. The best match enhanced factors were confirmed according to the comparison between the simulated and experimental melt pool sizes. The findings suggest that the best match enhanced factors are not a constant value, but rather vary with changes of process parameters. With the enhanced factors increasing, the peak melt pool temperature drops sharply at first and then tends to be stable. The melt pool width remains almost unchanged, whereas the melt pool length exhibits a slight increase. Laser specific energy was found to be a suitable metric to characterize the convection features and intensity of the melt pool. An empirical model of laser specific energy and enhanced factors was derived through linear regression analysis, which greatly simplified the determination of the enhanced factors. The experimental results showed that the error of the FE thermal model in predicting the melt pool size was less than 6.3%.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"16 1","pages":"116103 - 116103"},"PeriodicalIF":1.1000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling of melt pool and thermal field simulation for wide-band laser cladding\",\"authors\":\"Bin Hu, Jianhai Han, Xiangpan Li, Junhua Wang\",\"doi\":\"10.1117/1.OE.62.11.116103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. The accuracy of thermal analysis modeling for direct energy deposition is compromised if the Marangoni effect is ignored. The anisotropic enhanced thermal conductivity approach can improve the fidelity of the transient finite element (FE) thermal model, but the determination of the enhanced factors is generally based on empirical knowledge or trial and error. In this study, single track cladding experiments were conducted at different process parameters, the cladding process was recorded by an infrared camera, and the melt pool width and length were extracted from the infrared images. The best match enhanced factors were confirmed according to the comparison between the simulated and experimental melt pool sizes. The findings suggest that the best match enhanced factors are not a constant value, but rather vary with changes of process parameters. With the enhanced factors increasing, the peak melt pool temperature drops sharply at first and then tends to be stable. The melt pool width remains almost unchanged, whereas the melt pool length exhibits a slight increase. Laser specific energy was found to be a suitable metric to characterize the convection features and intensity of the melt pool. An empirical model of laser specific energy and enhanced factors was derived through linear regression analysis, which greatly simplified the determination of the enhanced factors. The experimental results showed that the error of the FE thermal model in predicting the melt pool size was less than 6.3%.\",\"PeriodicalId\":19561,\"journal\":{\"name\":\"Optical Engineering\",\"volume\":\"16 1\",\"pages\":\"116103 - 116103\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1117/1.OE.62.11.116103\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1117/1.OE.62.11.116103","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
Modeling of melt pool and thermal field simulation for wide-band laser cladding
Abstract. The accuracy of thermal analysis modeling for direct energy deposition is compromised if the Marangoni effect is ignored. The anisotropic enhanced thermal conductivity approach can improve the fidelity of the transient finite element (FE) thermal model, but the determination of the enhanced factors is generally based on empirical knowledge or trial and error. In this study, single track cladding experiments were conducted at different process parameters, the cladding process was recorded by an infrared camera, and the melt pool width and length were extracted from the infrared images. The best match enhanced factors were confirmed according to the comparison between the simulated and experimental melt pool sizes. The findings suggest that the best match enhanced factors are not a constant value, but rather vary with changes of process parameters. With the enhanced factors increasing, the peak melt pool temperature drops sharply at first and then tends to be stable. The melt pool width remains almost unchanged, whereas the melt pool length exhibits a slight increase. Laser specific energy was found to be a suitable metric to characterize the convection features and intensity of the melt pool. An empirical model of laser specific energy and enhanced factors was derived through linear regression analysis, which greatly simplified the determination of the enhanced factors. The experimental results showed that the error of the FE thermal model in predicting the melt pool size was less than 6.3%.
期刊介绍:
Optical Engineering publishes peer-reviewed papers reporting on research and development in optical science and engineering and the practical applications of known optical science, engineering, and technology.