{"title":"纳米流体黏度模型综述及参数化研究","authors":"P. N. Nwosu, J. Meyer, M. Sharifpur","doi":"10.1115/1.4029079","DOIUrl":null,"url":null,"abstract":"The degree of variability between theoretical and empirical nanofluid viscosity model predictions and relevant experimental data is examined in this work. Results confirm a high degree of variability in the compared data; with some observed inconsistencies in the model formulations and the predicted data, consequently, a range of constitutive factors need to be incorporated into the models in order to accurately predict the rheologi- cal behavior of nanofluids in different use conditions. Notably, conducting broad theoretical studies and empirical investigations into the rheological behavior of nano- fluids incorporating the fundamental parametric variables can plausibly lead to near-generalized models. [DOI: 10.1115/1.4029079]","PeriodicalId":73845,"journal":{"name":"Journal of nanotechnology in engineering and medicine","volume":"5 1","pages":"031008"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1115/1.4029079","citationCount":"30","resultStr":"{\"title\":\"A Review and Parametric Investigation Into Nanofluid Viscosity Models\",\"authors\":\"P. N. Nwosu, J. Meyer, M. Sharifpur\",\"doi\":\"10.1115/1.4029079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The degree of variability between theoretical and empirical nanofluid viscosity model predictions and relevant experimental data is examined in this work. Results confirm a high degree of variability in the compared data; with some observed inconsistencies in the model formulations and the predicted data, consequently, a range of constitutive factors need to be incorporated into the models in order to accurately predict the rheologi- cal behavior of nanofluids in different use conditions. Notably, conducting broad theoretical studies and empirical investigations into the rheological behavior of nano- fluids incorporating the fundamental parametric variables can plausibly lead to near-generalized models. [DOI: 10.1115/1.4029079]\",\"PeriodicalId\":73845,\"journal\":{\"name\":\"Journal of nanotechnology in engineering and medicine\",\"volume\":\"5 1\",\"pages\":\"031008\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1115/1.4029079\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of nanotechnology in engineering and medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4029079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of nanotechnology in engineering and medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4029079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Review and Parametric Investigation Into Nanofluid Viscosity Models
The degree of variability between theoretical and empirical nanofluid viscosity model predictions and relevant experimental data is examined in this work. Results confirm a high degree of variability in the compared data; with some observed inconsistencies in the model formulations and the predicted data, consequently, a range of constitutive factors need to be incorporated into the models in order to accurately predict the rheologi- cal behavior of nanofluids in different use conditions. Notably, conducting broad theoretical studies and empirical investigations into the rheological behavior of nano- fluids incorporating the fundamental parametric variables can plausibly lead to near-generalized models. [DOI: 10.1115/1.4029079]