{"title":"封闭核燃料循环过程建模","authors":"O.V. Shmidt , I.R. Makeeva , S.N. Liventsov","doi":"10.1016/j.proche.2016.10.070","DOIUrl":null,"url":null,"abstract":"<div><p>Determination of optimal operating conditions for closed nuclear fuel cycle processes requires computer models that are used to evaluate and modify the design solution at earlier stages of technology development and the engineering and project documentation as more data from experimental research are obtained. The computational models being developed will significantly accelerate the design process, project commissioning as well as improve quality, performance and safety characteristics of the product.</p></div>","PeriodicalId":20431,"journal":{"name":"Procedia Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.proche.2016.10.070","citationCount":"4","resultStr":"{\"title\":\"Modeling Closed Nuclear Fuel Cycle Processes\",\"authors\":\"O.V. Shmidt , I.R. Makeeva , S.N. Liventsov\",\"doi\":\"10.1016/j.proche.2016.10.070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Determination of optimal operating conditions for closed nuclear fuel cycle processes requires computer models that are used to evaluate and modify the design solution at earlier stages of technology development and the engineering and project documentation as more data from experimental research are obtained. The computational models being developed will significantly accelerate the design process, project commissioning as well as improve quality, performance and safety characteristics of the product.</p></div>\",\"PeriodicalId\":20431,\"journal\":{\"name\":\"Procedia Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.proche.2016.10.070\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Procedia Chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1876619616301127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876619616301127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determination of optimal operating conditions for closed nuclear fuel cycle processes requires computer models that are used to evaluate and modify the design solution at earlier stages of technology development and the engineering and project documentation as more data from experimental research are obtained. The computational models being developed will significantly accelerate the design process, project commissioning as well as improve quality, performance and safety characteristics of the product.
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