60
4 Design Optimization of Micromixers
9. Ansari MA, Kim KY (2007) Shape optimization of a micromixer with staggered herringbone
groove. Chem Eng Sci 62:6687–6695. https://doi.org/10.1016/j.ces.2007.07.059
10. Ansari MA, Kim KY (2007b) Application of the radial basis neural network to optimization
of a micromixer. Chem Eng Tech 30:962–966. https://doi.org/10.1002/ceat.200700055
11. Cortes-Quiroz CA, Azarbadegan A, Moeendarbary E (2010) An efficient passive planar
micromixer with fin-shaped baffles in the tee channel for wide Reynolds number flow range.
World Acad Sci Eng Technol 61:170–175. https://doi.org/10.5281/zenodo.1333420
12. Hossain S, Ansari MA, Husain A, Kim KY (2010) Analysis and optimization of a micromixer
with a modified Tesla structure. Chem Eng J 158:305–314. https://doi.org/10.1016/j.cej.2010.
02.002
13. Hossain S, Husain A, Kim KY (2011) Optimization of micromixer with staggered herringbone
grooves on top and bottom walls. Eng Appl Comput Fluid Mech 5:506–516. https://doi.org/
10.1080/19942060.2011.11015390
14. Afzal A, Kim KY (2015) Optimization of pulsatile flow and geometry for a Convergentdivergent micromixer. Chem Eng J 281:134–143. https://doi.org/10.1016/j.cej.2015.06.046
15. Hossain S, Afzal A, Kim KY (2017) Shape optimization of a three-dimensional serpentine
split-and- recombine Micromixer. Chem Eng Commun 204(5):548–556. https://doi.org/10.
1080/00986445.2017.1289185
16. Yang JT, Huang KJ, Lin YC (2005) Geometric effects on fluid mixing in passive grooved
micromixers. Lab Chip 5:1140–1147. https://doi.org/10.1039/B500972C
17. Queipo NV, Haftka RT, Shyy W, Goel T, Vaidyanathan R, Tucker PK (2005) Surrogate-based
analysis and optimization. Prog Aerosp Sci 41:1–28. https://doi.org/10.1016/j.paerosci.2005.
02.001
18. Forrester AI, Keane AJ (2009) Recent advances in surrogate-based optimization. Prog Aerosp
Sci 45:50–79. https://doi.org/10.1016/j.paerosci.2008.11.001
19. Kim HM, Kim KY (2006) Shape optimization of three-dimensional channel roughened by
angled ribs with RANS analysis of turbulent heat transfer. Int J Heat Mass Transf 49:4013–4022.
https://doi.org/10.1016/j.ijheatmasstransfer.2006.03.039
20. Kim KY, Seo SJ (2006) Application of numerical optimization technique to design of forwardcurved blades centrifugal fan. JSME Int J Ser B 49:152–158. https://doi.org/10.1299/jsmeb.
49.152
21. Kulkarni K, Afzal A, Kim KY (2015) Multi-objective optimization of Solar Air heater with
Obstacles on Absorber Plate. Sol Energy 114:364–377. https://doi.org/10.1016/j.solener.2015.
02.008
22. Seo J-W, Afzal A, Kim KY (2016) Efficient multi-objective optimization of a boot-shaped
rib in a cooling channel. Int J Therm Sci 106:122–133. https://doi.org/10.1016/j.ijthermalsci.
2016.03.015
23. Kulkarni K, Afzal A, Kim KY (2016) Multi-objective optimization of a double-layered
microchannel heat sink with temperature-dependent fluid properties. Appl Therm Eng
99:262–272. https://doi.org/10.1016/j.applthermaleng.2016.01.039
24. Kim SM, Afzal A, Kim KY (2016) Optimization of a Staggered Jet-Convex Dimple Array
Cooling System. Int J Therm Sci 99:161–169. https://doi.org/10.1016/j.ijthermalsci.2015.
08.013
25. Stroock AD, Dertinger SK, Ajdari A, Mezi´ c I, Stone HA, Whitesides GM (2002) Chaotic mixer
for microchannels. Science 295:647–651. https://doi.org/10.1126/science.1066238
26. Cortes-Quiroz CA, Zangeneh M, Goto A (2009) On multi-objective optimization of geometry
of staggered hertringbone micromixer. Microfluid Nanofluid 7:29–43. https://doi.org/10.1007/
s10404-008-0355-8
27. Zitzler E, Thiele L (1998) An evolutionary algorithm for multiobjective optimization: The
strength Pareto approach. TIK-report 43. https://doi.org/10.3929/ethz-a-004288833
28. Knowles JD, Corne DW (2000) Approximating the non-dominated front using the Pareto
archived evolution strategy. Evol Comput 8:149–172. https://doi.org/10.1162/106365600
568167
29. Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley
4 Design Optimization of Micromixers
9. Ansari MA, Kim KY (2007) Shape optimization of a micromixer with staggered herringbone
groove. Chem Eng Sci 62:6687–6695. https://doi.org/10.1016/j.ces.2007.07.059
10. Ansari MA, Kim KY (2007b) Application of the radial basis neural network to optimization
of a micromixer. Chem Eng Tech 30:962–966. https://doi.org/10.1002/ceat.200700055
11. Cortes-Quiroz CA, Azarbadegan A, Moeendarbary E (2010) An efficient passive planar
micromixer with fin-shaped baffles in the tee channel for wide Reynolds number flow range.
World Acad Sci Eng Technol 61:170–175. https://doi.org/10.5281/zenodo.1333420
12. Hossain S, Ansari MA, Husain A, Kim KY (2010) Analysis and optimization of a micromixer
with a modified Tesla structure. Chem Eng J 158:305–314. https://doi.org/10.1016/j.cej.2010.
02.002
13. Hossain S, Husain A, Kim KY (2011) Optimization of micromixer with staggered herringbone
grooves on top and bottom walls. Eng Appl Comput Fluid Mech 5:506–516. https://doi.org/
10.1080/19942060.2011.11015390
14. Afzal A, Kim KY (2015) Optimization of pulsatile flow and geometry for a Convergentdivergent micromixer. Chem Eng J 281:134–143. https://doi.org/10.1016/j.cej.2015.06.046
15. Hossain S, Afzal A, Kim KY (2017) Shape optimization of a three-dimensional serpentine
split-and- recombine Micromixer. Chem Eng Commun 204(5):548–556. https://doi.org/10.
1080/00986445.2017.1289185
16. Yang JT, Huang KJ, Lin YC (2005) Geometric effects on fluid mixing in passive grooved
micromixers. Lab Chip 5:1140–1147. https://doi.org/10.1039/B500972C
17. Queipo NV, Haftka RT, Shyy W, Goel T, Vaidyanathan R, Tucker PK (2005) Surrogate-based
analysis and optimization. Prog Aerosp Sci 41:1–28. https://doi.org/10.1016/j.paerosci.2005.
02.001
18. Forrester AI, Keane AJ (2009) Recent advances in surrogate-based optimization. Prog Aerosp
Sci 45:50–79. https://doi.org/10.1016/j.paerosci.2008.11.001
19. Kim HM, Kim KY (2006) Shape optimization of three-dimensional channel roughened by
angled ribs with RANS analysis of turbulent heat transfer. Int J Heat Mass Transf 49:4013–4022.
https://doi.org/10.1016/j.ijheatmasstransfer.2006.03.039
20. Kim KY, Seo SJ (2006) Application of numerical optimization technique to design of forwardcurved blades centrifugal fan. JSME Int J Ser B 49:152–158. https://doi.org/10.1299/jsmeb.
49.152
21. Kulkarni K, Afzal A, Kim KY (2015) Multi-objective optimization of Solar Air heater with
Obstacles on Absorber Plate. Sol Energy 114:364–377. https://doi.org/10.1016/j.solener.2015.
02.008
22. Seo J-W, Afzal A, Kim KY (2016) Efficient multi-objective optimization of a boot-shaped
rib in a cooling channel. Int J Therm Sci 106:122–133. https://doi.org/10.1016/j.ijthermalsci.
2016.03.015
23. Kulkarni K, Afzal A, Kim KY (2016) Multi-objective optimization of a double-layered
microchannel heat sink with temperature-dependent fluid properties. Appl Therm Eng
99:262–272. https://doi.org/10.1016/j.applthermaleng.2016.01.039
24. Kim SM, Afzal A, Kim KY (2016) Optimization of a Staggered Jet-Convex Dimple Array
Cooling System. Int J Therm Sci 99:161–169. https://doi.org/10.1016/j.ijthermalsci.2015.
08.013
25. Stroock AD, Dertinger SK, Ajdari A, Mezi´ c I, Stone HA, Whitesides GM (2002) Chaotic mixer
for microchannels. Science 295:647–651. https://doi.org/10.1126/science.1066238
26. Cortes-Quiroz CA, Zangeneh M, Goto A (2009) On multi-objective optimization of geometry
of staggered hertringbone micromixer. Microfluid Nanofluid 7:29–43. https://doi.org/10.1007/
s10404-008-0355-8
27. Zitzler E, Thiele L (1998) An evolutionary algorithm for multiobjective optimization: The
strength Pareto approach. TIK-report 43. https://doi.org/10.3929/ethz-a-004288833
28. Knowles JD, Corne DW (2000) Approximating the non-dominated front using the Pareto
archived evolution strategy. Evol Comput 8:149–172. https://doi.org/10.1162/106365600
568167
29. Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley