2013
DOI: 10.1016/j.ijthermalsci.2013.05.015
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Optimization of ejection angles of double-jet film-cooling holes using RBNN model

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Cited by 26 publications
(4 citation statements)
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“…Then, the maximum temperature ( max ) of the cable core and the total cost function (F c ) for the corresponding samples were calculated based on the simulation results, which are also presented in Table 6. Secondly, based on the sample data and calculation results as presented in Table 6, the geometric parameters for the parabolic-type FTB trefoil buried cables ( 1 , 2 , and ) were trained with the radial basis function neural network (RBNN) [19][20][21]. RBNN is a two-layer network with strong ability to approximate objective function and rapid convergence rate, including a hidden layer of radial basis function (RBF) and a linear output layer [19].…”
Section: Laying Parameter Optimization Formentioning
confidence: 99%
“…Then, the maximum temperature ( max ) of the cable core and the total cost function (F c ) for the corresponding samples were calculated based on the simulation results, which are also presented in Table 6. Secondly, based on the sample data and calculation results as presented in Table 6, the geometric parameters for the parabolic-type FTB trefoil buried cables ( 1 , 2 , and ) were trained with the radial basis function neural network (RBNN) [19][20][21]. RBNN is a two-layer network with strong ability to approximate objective function and rapid convergence rate, including a hidden layer of radial basis function (RBF) and a linear output layer [19].…”
Section: Laying Parameter Optimization Formentioning
confidence: 99%
“…It was demonstrated that the anti-CVP structure formed in the DJFC was tightly associated with the double-jet pitch and the compound injection angle, wherein the former affected the interaction and the latter affected the strength of each branch of the antikidney vortexes. Choi et al [29] and Lee et al [30] carried out an optimization of the DJFC configurations by selecting four variables (spanwise and streamwise distances between film-hole centers, and respective spanwise injection angles) as design variables. The cooling performance was optimized with the increase in the spanwise injection angle, attributed to a wider spanwise spreading of coolant coverage.…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, many researchers focus attention on the film cooling technology, and this has played a major role in cooling the vanes and blades of the turbine front stages which are exposed to a higher firing temperature. Research works of film cooling mainly concentrate on changing the geometries of the film holes (Bunker, 2005; Zhang et al , 2017; Kim and Kim, 2018), placing vortex generators upstream or downstream the holes (Abdala et al , 2016; Chen et al , 2011) as well as combining and arranging the positions of the round holes (Lee et al , 2013; Zhang et al , 2018; Zhu et al , 2018a).…”
Section: Introductionmentioning
confidence: 99%