Alla Eddine Benchikh Lehocine, Sébastien Poncet, H. Fellouah
{"title":"鼠笼式风扇的优化设计","authors":"Alla Eddine Benchikh Lehocine, Sébastien Poncet, H. Fellouah","doi":"10.32393/csme.2021.237","DOIUrl":null,"url":null,"abstract":"The restrictions related to air quality are increasing making the improvement of the air system important. The squirrel cage fan (SCF), also known as forward-curved multiblade centrifugal fan, is widely used in vacuum systems. Most of researches so far used commercial software to study and optimize the SCF. In the present study, a complete automatic optimization process loop is developed based only on open source libraries: Dakota, Salome and OpenFOAM. Up to seven design parameters are selected. The Latin Hypercube Sampling (LHS) method is preferred to determine the design points and then the Kriging and Efficient Global optimization (EGO) metamodels are built. A 3D incompressible simple FOAM solver is coupled to the Multiple reference frame (MRF) approach to model the flow in the SCF. An efficiency improvement of 8.46% is reached by the EGO approach. A strong vortex is observed in the cutoff region. The optimal design is finally validated against the produced prototype, with an error of 3.4% on the efficiency.","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization Of A Squirrel Cage Fan\",\"authors\":\"Alla Eddine Benchikh Lehocine, Sébastien Poncet, H. Fellouah\",\"doi\":\"10.32393/csme.2021.237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The restrictions related to air quality are increasing making the improvement of the air system important. The squirrel cage fan (SCF), also known as forward-curved multiblade centrifugal fan, is widely used in vacuum systems. Most of researches so far used commercial software to study and optimize the SCF. In the present study, a complete automatic optimization process loop is developed based only on open source libraries: Dakota, Salome and OpenFOAM. Up to seven design parameters are selected. The Latin Hypercube Sampling (LHS) method is preferred to determine the design points and then the Kriging and Efficient Global optimization (EGO) metamodels are built. A 3D incompressible simple FOAM solver is coupled to the Multiple reference frame (MRF) approach to model the flow in the SCF. An efficiency improvement of 8.46% is reached by the EGO approach. A strong vortex is observed in the cutoff region. The optimal design is finally validated against the produced prototype, with an error of 3.4% on the efficiency.\",\"PeriodicalId\":446767,\"journal\":{\"name\":\"Progress in Canadian Mechanical Engineering. Volume 4\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Canadian Mechanical Engineering. Volume 4\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32393/csme.2021.237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Canadian Mechanical Engineering. Volume 4","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32393/csme.2021.237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The restrictions related to air quality are increasing making the improvement of the air system important. The squirrel cage fan (SCF), also known as forward-curved multiblade centrifugal fan, is widely used in vacuum systems. Most of researches so far used commercial software to study and optimize the SCF. In the present study, a complete automatic optimization process loop is developed based only on open source libraries: Dakota, Salome and OpenFOAM. Up to seven design parameters are selected. The Latin Hypercube Sampling (LHS) method is preferred to determine the design points and then the Kriging and Efficient Global optimization (EGO) metamodels are built. A 3D incompressible simple FOAM solver is coupled to the Multiple reference frame (MRF) approach to model the flow in the SCF. An efficiency improvement of 8.46% is reached by the EGO approach. A strong vortex is observed in the cutoff region. The optimal design is finally validated against the produced prototype, with an error of 3.4% on the efficiency.
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