{"title":"利用蜂窝自动机建立快速成型零件的大规模微观结构模型","authors":"O Zinovieva, A Zinoviev, O Gokcekaya, Y Tang","doi":"10.1088/1757-899x/1310/1/012005","DOIUrl":null,"url":null,"abstract":"This study represents the first attempt, to our knowledge, to simulate the grain structure of a laser powder bed fusion printed metal part exceeding 1,000 mm<sup>3</sup> in volume using a workstation. Utilising our in-house cellular automata finite difference code with OpenMP for parallelisation, the model predictions closely align with experimental observations. The implemented model shows promising capabilities for estimating microstructures with reasonable accuracy and could serve as a powerful tool for digital manufacturing.","PeriodicalId":14483,"journal":{"name":"IOP Conference Series: Materials Science and Engineering","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Large-scale microstructure modelling of an additively manufactured part using cellular automata\",\"authors\":\"O Zinovieva, A Zinoviev, O Gokcekaya, Y Tang\",\"doi\":\"10.1088/1757-899x/1310/1/012005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study represents the first attempt, to our knowledge, to simulate the grain structure of a laser powder bed fusion printed metal part exceeding 1,000 mm<sup>3</sup> in volume using a workstation. Utilising our in-house cellular automata finite difference code with OpenMP for parallelisation, the model predictions closely align with experimental observations. The implemented model shows promising capabilities for estimating microstructures with reasonable accuracy and could serve as a powerful tool for digital manufacturing.\",\"PeriodicalId\":14483,\"journal\":{\"name\":\"IOP Conference Series: Materials Science and Engineering\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOP Conference Series: Materials Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/1757-899x/1310/1/012005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOP Conference Series: Materials Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1757-899x/1310/1/012005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Large-scale microstructure modelling of an additively manufactured part using cellular automata
This study represents the first attempt, to our knowledge, to simulate the grain structure of a laser powder bed fusion printed metal part exceeding 1,000 mm3 in volume using a workstation. Utilising our in-house cellular automata finite difference code with OpenMP for parallelisation, the model predictions closely align with experimental observations. The implemented model shows promising capabilities for estimating microstructures with reasonable accuracy and could serve as a powerful tool for digital manufacturing.
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