Table 4 Design variables and objective function values at LHS design points for different Res.

From: New insights into the micromixer with Cantor fractal obstacles through genetic algorithm

Design points

Design variables

Objective functions

a/b

\({\text{w}}/{\uplambda }\)

\({\text{d}}/{\text{h}}\)

M (Re = 1)

ΔP (Re = 1)

M (Re = 10)

ΔP (Re = 10)

1

0.4039

0.5664

0.7065

0.7973

72.6341

0.8522

782.7840

2

0.7175

0.5140

0.7880

0.7241

26.9210

0.7424

297.0948

3

0.3627

0.5104

0.8490

0.9221

75.7729

0.9747

871.3308

4

0.4484

0.5808

0.7545

0.7795

36.0354

0.8421

408.6352

5

0.4029

0.4953

0.8755

0.9809

180.0933

0.9951

2048.429

6

0.2819

0.6269

0.5925

0.6179

23.6500

0.6121

242.9419

7

0.2307

0.4996

0.9545

0.9864

168.435

0.9953

2015.563

8

0.3059

0.5568

0.6340

0.7202

41.4072

0.7193

433.8979

9

0.3958

0.5961

0.5265

0.6308

23.7748

0.6317

252.1303

10

0.5186

0.5488

0.9220

0.8923

46.1576

0.9307

528.6534

11

0.5142

0.5418

0.7355

0.7987

43.0451

0.8711

483.9600

12

0.3424

0.6487

0.8465

0.9280

73.7338

0.9815

841.1057

13

0.6394

0.6127

0.7195

0.5388

13.5311

0.5136

143.9363

14

0.3261

0.6284

0.6255

0.6382

22.8918

0.6647

250.2992

15

0.2748

0.6086

0.3835

0.5944

20.0948

0.5818

206.3002

16

0.5099

0.4812

0.8960

0.9295

72.8003

0.9608

832.9332

17

0.5645

0.4138

0.6885

0.8270

49.7706

0.8649

541.6068

18

0.3855

0.7199

0.7410

0.6934

29.0481

0.8052

330.6337

19

0.3502

0.6747

0.8225

0.7293

26.2941

0.8046

312.4337

20

0.3723

0.6326

0.5665

0.5227

14.9721

0.4971

159.2088

21

0.5548

0.5150

0.6595

0.7149

31.2719

0.7695

343.7368

22

0.3226

0.4937

0.8500

0.9538

125.5217

0.9878

1433.105

23

0.8347

0.6091

0.8030

0.5509

13.8853

0.5170

146.0607

24

0.4847

0.7829

0.5880

0.5580

21.8651

0.6113

236.7469

25

0.4663

0.5227

0.4965

0.6937

29.2291

0.6917

305.9860

26

0.7093

0.6061

0.6850

0.6742

24.5116

0.7243

271.2799

27

0.1852

0.5810

0.7935

0.9078

93.0807

0.9148

1005.118

28

0.5991

0.4244

0.9245

0.8976

66.2350

0.9315

736.7491

29

0.4049

0.6387

0.7750

0.8301

56.2694

0.9254

626.5036

30

0.2769

0.5572

0.5000

0.6323

35.4253

0.6403

365.3808