1. Besagni G, Mereu R, Chiesa P, Inzoli F. An Integrated Lumped Parameter-CFD approach for off-design ejector performance evaluation. Energy Conversion and Management. 2015;105:697-715. [
Link] [
DOI:10.1016/j.enconman.2015.08.029]
2. Chen X, Omer S, Worall M, Riffat S. Recent developments in ejector refrigeration technologies. Renewable and Sustainable Energy Reviews. 2013;19:629-651. [
Link] [
DOI:10.1016/j.rser.2012.11.028]
3. Fu W, Li Y, Liu Z, Wu H, Wu T. Numerical study for the influences of primary nozzle on steam ejector performance. Applied Thermal Engineering. 2016;106:1148-1156. [
Link] [
DOI:10.1016/j.applthermaleng.2016.06.111]
4. Lamberts O, Chatelain P, Bartosiewicz Y. Numerical and experimental evidence of the Fabri-choking in a supersonic ejector. International Journal of Heat and Fluid Flow. 2018;69:194-209. [
Link] [
DOI:10.1016/j.ijheatfluidflow.2018.01.002]
5. Sriveerakul T, Aphornratana S, Chunnanond K. Performance prediction of steam ejector using computational fluid dynamics: Part 1. Validation of the CFD results. International Journal of Thermal Sciences. 2007;46(8):812-822.
https://doi.org/10.1016/j.ijthermalsci.2006.10.014 [
Link] [
DOI:10.1016/j.ijthermalsci.2006.10.012]
6. Maghsoodi A, Afshari E, Ahmadikia H. Optimization of geometric parameters for design a high-performance ejector in the proton exchange membrane fuel cell system using artificial neural network and genetic algorithm. Applied Thermal Engineering. 2014;71(1):410-418. [
Link] [
DOI:10.1016/j.applthermaleng.2014.06.067]
7. Wang C, Wang L, Wang X, Zhao H. Design and numerical investigation of an adaptive nozzle exit position ejector in multi-effect distillation desalination system. Energy. 2017;140(Part 1):673-681. [
Link] [
DOI:10.1016/j.energy.2017.08.104]
8. Zhu Y, Cai W, Wen Ch, Li Y. Numerical investigation of geometry parameters for design of high performance ejectors. Applied Thermal Engineering. 2009;29(5-6):898-905. [
Link] [
DOI:10.1016/j.applthermaleng.2008.04.025]
9. Wu H, Liu Z, Han B, Li Y. Numerical investigation of the influences of mixing chamber geometries on steam ejector performance. Desalination. 2014;353:15-20. [
Link] [
DOI:10.1016/j.desal.2014.09.002]
10. Ariafar K, Buttsworth D, Al-Doori Gh, Sharifi N. Mixing layer effects on the entrainment ratio in steam ejectors through ideal gas computational simulations. Energy. 2016;95:380-392. [
Link] [
DOI:10.1016/j.energy.2015.12.027]
11. Thongtip T, Aphornratana S. An experimental analysis of the impact of primary nozzle geometries on the ejector performance used in R141b ejector refrigerator. Applied Thermal Engineering. 2017;110:89-101. [
Link] [
DOI:10.1016/j.applthermaleng.2016.08.100]
12. Hemidi A, Henry F, Leclaire S, Seynhaeve JM, Bartosiewicz Y. CFD analysis of a supersonic air ejector. Part I: Experimental validation of single-phase and two-phase operation. Applied Thermal Engineering. 2009;29(8-9):1523-1531. [
Link] [
DOI:10.1016/j.applthermaleng.2008.07.003]
13. Croquer S, Poncet S, Aidoun Z. Turbulence modeling of a single-phase R134a supersonic ejector. Part 1: Numerical benchmark. International Journal of Refrigeration. 2016;61:140-152.
https://doi.org/10.1016/j.ijrefrig.2015.07.030 [
Link] [
DOI:10.1016/j.ijrefrig.2015.07.029]
14. Goharimanesh M, Akbari A, Akbarzadeh Tootoonchi A. More efficiency in fuel consumption using gearbox optimization based on Taguchi method. Journal of Industrial Engineering International. 2014;10(2):61-68. [
Link] [
DOI:10.1007/s40092-014-0061-y]
15. Goharimanesh M, Javid SM, Bazaz SR, Rostami H. Reducing ice accretion using design of experiments based on Taguchi method. Journal of Applied Science and Engineering. 2017;20(2):165-172. [
Link]