Table 5 Experimental outcomes from diesel engine.

From: Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives

Input conditions

ABD

CBD

Trial

Appl

Mix %

IP

NA

BTE

BSEC

UBHC

CO

NOx

BTE

BSEC

CO

NOx

1

20

15

180

5

16.17

3.7149

7.9099

0.0143

170.3

15.561

4.32

0.018

197

2

40

5

190

0

13.93

3.5014

8.7676

0.0123

172.5

13.406

4.1

0.016

200

3

60

10

200

20

20.89

2.7328

6.0992

0.0185

145.3

20.11

3.2

0.024

168

4

80

0

210

15

18.65

2.5193

7.4334

0.0165

147.6

17.955

2.95

0.021

171

5

100

20

220

10

22.38

3.3306

5.9086

0.0198

204.3

21.546

3.9

0.025

237

6

20

5

180

5

14.18

3.3733

8.6723

0.0125

152.1

13.646

3.95

0.016

176

7

40

15

190

10

18.4

3.416

7.0522

0.0163

168

17.716

4

0.021

195

8

60

10

200

0

15.92

3.5868

8.0052

0.0141

190.7

15.322

4.2

0.018

221

9

80

0

210

15

18.65

2.5193

7.7193

0.0165

147.6

17.955

2.95

0.021

171

10

100

20

220

20

24.87

2.9036

4.9556

0.022

181.6

23.94

3.4

0.028

210

11

20

0

180

0

11.94

3.416

9.53

0.0106

154.4

11.491

4

0.013

179

12

40

5

190

5

15.17

3.2879

8.2911

0.0134

161.2

14.603

3.85

0.017

187

13

60

10

200

10

18.4

3.1598

7.0522

0.0163

168

17.716

3.7

0.021

195

14

80

15

210

20

22.88

2.8182

5.8133

0.0202

163.4

22.025

3.3

0.026

189

15

100

20

220

15

23.63

3.1171

8.1005

0.0209

193

22.743

3.65

0.027

224

16

20

0

180

0

11.94

3.416

9.53

0.0106

154.4

11.491

4

0.013

179

17

40

10

190

5

16.17

3.4587

7.9099

0.0143

170.3

15.561

4.05

0.018

197

18

60

5

210

10

17.66

3.0317

7.5287

0.0156

161.2

16.997

3.55

0.02

187

19

80

15

220

15

21.89

3.0744

6.3851

0.0194

177.1

21.067

3.6

0.025

205

20

100

20

200

20

24.37

2.8182

4.765

0.0216

177.1

23.461

3.3

0.027

205

21

20

0

190

0

12.19

3.4587

9.4347

0.0108

156.6

11.731

4.05

0.014

181

22

40

5

200

5

15.42

3.3306

8.1958

0.0136

163.4

14.843

3.9

0.017

189

23

60

10

180

10

17.91

3.0744

7.2428

0.0158

163.4

17.237

3.6

0.02

189

24

80

15

210

15

21.64

3.0317

6.2898

0.0191

174.8

20.828

3.55

0.024

203

25

100

20

220

20

24.87

2.9036

4.9556

0.022

181.6

23.94

3.4

0.028

210

26

20

0

180

0

11.94

3.416

9.1488

0.0106

154.4

11.491

4

0.013

179

27

40

15

200

5

17.41

3.6722

7.4334

0.0154

181.6

16.758

4.3

0.02

210

28

60

10

190

10

18.16

3.1171

7.1475

0.0161

165.7

17.476

3.65

0.02

192

29

80

20

210

15

22.63

3.2025

5.9086

0.02

183.9

21.785

3.75

0.025

213

30

20

5

220

20

18.9

2.9036

7.2428

0.0167

127.1

18.194

3.4

0.021

147

31

100

0

190

0

15.17

2.9463

8.2911

0.0134

183.9

14.603

3.45

0.017

213

32

40

5

180

5

14.92

3.2452

7.624

0.0132

158.9

14.364

3.8

0.017

184

33

60

10

200

10

18.4

3.1598

7.0522

0.0163

168

17.716

3.7

0.021

195

34

80

15

210

15

21.64

3.0317

6.2898

0.0191

174.8

20.828

3.55

0.024

203

35

100

20

220

20

24.87

2.9036

6.0992

0.022

181.6

23.94

3.4

0.028

210

36

20

0

180

20

16.91

2.562

7.624

0.015

109

16.279

3

0.019

126

37

40

5

190

5

15.17

3.2879

8.2911

0.0134

161.2

14.603

3.85

0.017

187

38

100

10

220

5

21.64

3.2025

7.1475

0.0191

197.5

20.828

3.75

0.024

229

39

80

15

210

10

20.39

3.2452

6.7663

0.018

186.1

19.631

3.8

0.023

216

40

60

20

200

0

17.91

3.9284

7.2428

0.0158

208.8

17.237

4.6

0.02

242

41

20

0

200

0

12.44

3.5014

9.3394

0.011

158.9

11.97

4.1

0.014

184

42

40

5

190

5

15.17

3.2879

8.2911

0.0134

161.2

14.603

3.85

0.017

187

43

100

10

180

10

19.4

2.8182

6.671

0.0172

177.1

18.673

3.3

0.022

205

44

60

15

210

15

20.89

3.1598

6.2898

0.0185

168

20.11

3.7

0.024

195

45

80

20

220

20

24.12

3.0317

7.4334

0.0213

174.8

23.222

3.55

0.027

203

46

20

0

180

0

11.94

3.416

9.53

0.0106

154.4

11.491

4

0.013

179

47

40

5

200

5

15.42

3.3306

7.2428

0.0136

163.4

14.843

3.9

0.017

189

48

60

10

190

15

19.4

2.9036

6.671

0.0172

154.4

18.673

3.4

0.022

179

49

80

15

210

10

20.39

3.2452

6.7663

0.018

186.1

19.631

3.8

0.023

216

50

100

20

220

20

24.87

2.9036

4.9556

0.022

181.6

23.94

3.4

0.028

210

51

20

0

190

0

12.19

3.4587

9.4347

0.0108

156.6

11.731

4.05

0.014

181

52

40

5

180

5

14.92

3.2452

8.3864

0.0132

158.9

14.364

3.8

0.017

184

53

80

10

200

10

19.15

3.0317

7.0522

0.0169

174.8

18.434

3.55

0.022

203

54

60

15

220

15

21.14

3.2025

6.3851

0.0187

170.3

20.349

3.75

0.024

197

55

100

20

210

20

24.62

2.8609

4.8603

0.0218

179.3

23.701

3.35

0.028

208

56

20

5

180

0

12.93

3.5868

9.1488

0.0114

163.4

12.449

4.2

0.015

189

57

40

0

190

5

14.18

3.1171

8.6723

0.0125

152.1

13.646

3.65

0.016

176

58

60

10

200

10

18.4

3.1598

7.0522

0.0163

168

17.716

3.7

0.021

195

59

80

15

210

20

22.88

2.8182

5.8133

0.0202

163.4

22.025

3.3

0.026

189

60

100

20

220

15

23.63

3.1171

5.4321

0.0209

193

22.743

3.65

0.027

224

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