2015
DOI: 10.1016/j.enconman.2015.08.070
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A computational methodology for ejector design and performance maximisation

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Cited by 53 publications
(17 citation statements)
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“…4 that as the entrained vapor pressure increases, the maximum entrainment ratio also increase. Actually, as the entrained vapor pressure increases from 12kPa to 18kPa, the calculated maximum entrainment ratio increases from 0.393 to 0.569, which means an 9 increase of 45%. It should also be noted that as the entrained vapor pressure increases, the optimum range shifts towards the smaller diameter ratio, as indicated in Fig.…”
Section: Optimization Of Primary Nozzle Outlet Diametermentioning
confidence: 94%
See 1 more Smart Citation
“…4 that as the entrained vapor pressure increases, the maximum entrainment ratio also increase. Actually, as the entrained vapor pressure increases from 12kPa to 18kPa, the calculated maximum entrainment ratio increases from 0.393 to 0.569, which means an 9 increase of 45%. It should also be noted that as the entrained vapor pressure increases, the optimum range shifts towards the smaller diameter ratio, as indicated in Fig.…”
Section: Optimization Of Primary Nozzle Outlet Diametermentioning
confidence: 94%
“…Currently, computational fluid dynamics (CFD) has been applied to the design and optimization of ejectors because of its ability to accurately predict the flow field inside complex geometries with low cost. Many scholars [8][9][10][11][12][13] have focused on CFD simulations which are leading toward a better understanding of internal flow behavior.…”
Section: Introductionmentioning
confidence: 99%
“…where  , U, Γ, and S represent the dependent variable, velocity vector, diffusion coefficient, and source term, respectively [23]. As the concerned fluid is high-speed and compressible (Mach > 0.3), the COUPLED algorithm was applied to obtain velocity and pressure fields.…”
Section: Cfd Methodsmentioning
confidence: 99%
“…Pianthong et al [22] carried out a CFD method to investigate the effect of operating conditions, NXP, and throat length on ejector performance. Hakkaki-Fard et al [23] conducted a computational methodology for ejector design and performance maximization based on CFD. Chong et al [24] studied the performance and flow field inside ejectors numerically and experimentally.…”
Section: Introductionmentioning
confidence: 99%
“…Методика экспериментального исследования эффективности системы эжекционного охлаждения наддувочного воздуха В процессе экспериментального исследования анализируются параметры газового и воздушного потоков в системе при имитации следующих режимов работы двигателя: холостого хода, номинальной мощности и максимального вращающего момента [10][11][12].…”
Section: рис 2 схема экспериментальной установкиunclassified