{"title":"粉末床熔融增材制造和后续激光重新扫描过程中晶粒结构演变的三维模拟","authors":"Kai Kang , Lang Yuan , André B. Phillion","doi":"10.1016/j.jmatprotec.2024.118603","DOIUrl":null,"url":null,"abstract":"<div><p>Laser rescanning is often used as a post-process treatment during Laser Powder Bed Fusion (LPBF) processes to improve product quality. Taking AlSi10Mg material as a case, this study presents a 3D mesoscopic Cellular Automaton (CA) model coupled with Finite Element Analysis (FEA) to simulate grain structure evolution during the Laser Powder Bed Fusion process and its subsequent laser rescanning treatments incorporating non-equilibrium effects under rapid solidification conditions. A key focus of our investigation centers on exploring the potential origins of grain refinement during the laser rescanning process, and the subsequent impact on the resultant grain structure. Our model introduces two key innovations: (i) a diffusion-based grain growth function that tracks composition redistribution during solidification, enhancing the accuracy of grain structure prediction, and (ii) a novel fusion boundary nucleation model that accounts for local composition variations, providing deeper insights into grain refinement mechanisms. By incorporating epitaxial growth, bulk nucleation and fusion boundary nucleation models, we have observed a mixed grain structure in the melt pool, mirroring experimental findings in other studies, delineated into three zones: fine grains at the melt pool boundary (Zone I), long columnar grains (Zone II), and fine equiaxed grains (Zone III). Two factors contributing to grain refinement in our model are presented: (i) Columnar to equiaxed transition (CET) and elevated cooling rate within the rescan melt pool; (ii) Extending volume of fine grains near the rescan melt pool boundary due to fusion boundary nucleation. As a result, laser rescanning treatments, notably, yielded a refined grain structure with approximately 20% reduction in grain dimensions and a pronounced texture under current process parameters. The implications of these findings hold potential for optimized Laser Powder Bed Fusion processes and grain refinement control in future applications.</p></div>","PeriodicalId":367,"journal":{"name":"Journal of Materials Processing Technology","volume":"333 ","pages":"Article 118603"},"PeriodicalIF":6.7000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0924013624003212/pdfft?md5=8857b974fef519cf65409ce7e5994648&pid=1-s2.0-S0924013624003212-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A 3D simulation of grain structure evolution during powder bed fusion additive manufacturing and subsequent laser rescanning process\",\"authors\":\"Kai Kang , Lang Yuan , André B. Phillion\",\"doi\":\"10.1016/j.jmatprotec.2024.118603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Laser rescanning is often used as a post-process treatment during Laser Powder Bed Fusion (LPBF) processes to improve product quality. Taking AlSi10Mg material as a case, this study presents a 3D mesoscopic Cellular Automaton (CA) model coupled with Finite Element Analysis (FEA) to simulate grain structure evolution during the Laser Powder Bed Fusion process and its subsequent laser rescanning treatments incorporating non-equilibrium effects under rapid solidification conditions. A key focus of our investigation centers on exploring the potential origins of grain refinement during the laser rescanning process, and the subsequent impact on the resultant grain structure. Our model introduces two key innovations: (i) a diffusion-based grain growth function that tracks composition redistribution during solidification, enhancing the accuracy of grain structure prediction, and (ii) a novel fusion boundary nucleation model that accounts for local composition variations, providing deeper insights into grain refinement mechanisms. By incorporating epitaxial growth, bulk nucleation and fusion boundary nucleation models, we have observed a mixed grain structure in the melt pool, mirroring experimental findings in other studies, delineated into three zones: fine grains at the melt pool boundary (Zone I), long columnar grains (Zone II), and fine equiaxed grains (Zone III). Two factors contributing to grain refinement in our model are presented: (i) Columnar to equiaxed transition (CET) and elevated cooling rate within the rescan melt pool; (ii) Extending volume of fine grains near the rescan melt pool boundary due to fusion boundary nucleation. As a result, laser rescanning treatments, notably, yielded a refined grain structure with approximately 20% reduction in grain dimensions and a pronounced texture under current process parameters. The implications of these findings hold potential for optimized Laser Powder Bed Fusion processes and grain refinement control in future applications.</p></div>\",\"PeriodicalId\":367,\"journal\":{\"name\":\"Journal of Materials Processing Technology\",\"volume\":\"333 \",\"pages\":\"Article 118603\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0924013624003212/pdfft?md5=8857b974fef519cf65409ce7e5994648&pid=1-s2.0-S0924013624003212-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Materials Processing Technology\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0924013624003212\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Processing Technology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924013624003212","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
A 3D simulation of grain structure evolution during powder bed fusion additive manufacturing and subsequent laser rescanning process
Laser rescanning is often used as a post-process treatment during Laser Powder Bed Fusion (LPBF) processes to improve product quality. Taking AlSi10Mg material as a case, this study presents a 3D mesoscopic Cellular Automaton (CA) model coupled with Finite Element Analysis (FEA) to simulate grain structure evolution during the Laser Powder Bed Fusion process and its subsequent laser rescanning treatments incorporating non-equilibrium effects under rapid solidification conditions. A key focus of our investigation centers on exploring the potential origins of grain refinement during the laser rescanning process, and the subsequent impact on the resultant grain structure. Our model introduces two key innovations: (i) a diffusion-based grain growth function that tracks composition redistribution during solidification, enhancing the accuracy of grain structure prediction, and (ii) a novel fusion boundary nucleation model that accounts for local composition variations, providing deeper insights into grain refinement mechanisms. By incorporating epitaxial growth, bulk nucleation and fusion boundary nucleation models, we have observed a mixed grain structure in the melt pool, mirroring experimental findings in other studies, delineated into three zones: fine grains at the melt pool boundary (Zone I), long columnar grains (Zone II), and fine equiaxed grains (Zone III). Two factors contributing to grain refinement in our model are presented: (i) Columnar to equiaxed transition (CET) and elevated cooling rate within the rescan melt pool; (ii) Extending volume of fine grains near the rescan melt pool boundary due to fusion boundary nucleation. As a result, laser rescanning treatments, notably, yielded a refined grain structure with approximately 20% reduction in grain dimensions and a pronounced texture under current process parameters. The implications of these findings hold potential for optimized Laser Powder Bed Fusion processes and grain refinement control in future applications.
期刊介绍:
The Journal of Materials Processing Technology covers the processing techniques used in manufacturing components from metals and other materials. The journal aims to publish full research papers of original, significant and rigorous work and so to contribute to increased production efficiency and improved component performance.
Areas of interest to the journal include:
• Casting, forming and machining
• Additive processing and joining technologies
• The evolution of material properties under the specific conditions met in manufacturing processes
• Surface engineering when it relates specifically to a manufacturing process
• Design and behavior of equipment and tools.