Numerical Optimization in Engineering and Sciences - Select Proceedings of NOIEAS 2019

Numerical Optimization in Engineering and Sciences - Select Proceedings of NOIEAS 2019

von: Debashis Dutta, Biswajit Mahanty

Springer-Verlag, 2020

ISBN: 9789811532153 , 569 Seiten

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Numerical Optimization in Engineering and Sciences - Select Proceedings of NOIEAS 2019


 

Contents

6

About the Editors

11

Hydro-Chemistry for the Analysis of Sub-surface Water Quality in North-Eastern Haryana: A Fast-Urbanizing Region

12

1 Introduction

13

2 Materials and Methods

14

2.1 Region of Study

14

2.2 Methodology

16

3 Results and Discussion

16

3.1 Hydro-Chemical Indices

17

3.2 Hydro-Chemical Process Assessment

18

4 Quality of Water

20

4.1 Quality of Domestic Water

20

4.2 Total Hardness (TH)

21

4.3 Base-Exchange Index (BEI)

22

5 Conclusions

22

References

23

Numerical Optimization of Pile Foundation in Non-liquefiable and Liquefiable Soils

25

1 Introduction

25

1.1 Topology Optimization of Pile Foundation

26

1.2 Cost Optimization of Pile Foundation with a Raft

26

2 Topology Optimization of Pile Foundation

27

2.1 FE Modelling

28

2.2 Results and Discussion

29

3 Cost Optimization of a Pile Foundation with Raft

31

3.1 Objective Function and Constraints of the Optimization Algorithm

31

3.2 Results and Discussion

32

4 Conclusion

32

References

33

Nonlinear Regression for Identifying the Optimal Soil Hydraulic Model Parameters

34

1 Introduction

34

2 Materials and Methods

35

2.1 Analytical Models

35

2.2 Experimental Data

36

2.3 Nonlinear Regression

36

2.4 HYDRUS

37

3 Results and Discussion

37

3.1 Soil Moisture Characteristics

37

3.2 Soil Hydraulic Parameter Estimation

38

3.3 SMC Comparison

40

4 Conclusion

42

Appendix

42

References

43

Assessment of Microphysical Parameterization Schemes on the Track and Intensity of Titli Cyclone Using ARW Model

44

1 Introduction

44

2 Data and Methodology

45

2.1 ARW Model

45

3 Data Used

46

4 Numerical Experiments

46

5 Results and Discussions

47

6 Sensitivity of Microphysics Parameterization Schemes

47

7 Track and Intensity Errors

48

8 Summary and Conclusions

50

References

51

Topology Optimization of Concrete Dapped Beams Under Multiple Constraints

52

1 Introduction

52

2 Modeling of Dapped End Beams

53

3 Formulation of Topology Optimization Problems

54

4 Results and Discussion

55

4.1 Problem 1

56

4.2 Problem 2

57

4.3 Problem 3

58

4.4 Problem4

59

5 Conclusions

59

References

60

Selecting Optimized Mix Proportion of Bagasse Ash Blended Cement Mortar Using Analytic Hierarchy Process (AHP)

61

1 Introduction

61

2 Optimization Methodology

63

3 Methodology for Optimization of Bagasse Ash Blended Cement Mortar

65

4 Results and Discussions

66

4.1 Generating Pair-Wise Comparison Matrix

66

4.2 Sub-criteria Weights

66

4.3 Finding Consistency Ratio

68

4.4 Normalized Weights and Ranking

69

5 Conclusion

69

References

70

Regional Optimization of Global Climate Models for Maximum and Minimum Temperature

71

1 Introduction

71

2 Study Area

72

3 Observed and Climate Data

72

4 Methodology

73

4.1 Statistical Metrics

73

5 Results and Discussion

74

5.1 Analysis of Maximum Temperature

75

5.2 Analysis of Minimum Temperature

75

6 Conclusion

78

References

78

Numerical Optimization of Settlement in Geogrid Reinforced Landfill Clay Cover Barriers

80

1 Introduction

80

2 Materials Used

82

2.1 Soil

82

2.2 Geogrids

83

3 Experimental Testing Procedure

84

4 Results and Discussion

84

4.1 Effect of Number of Layers of Geogrids

84

4.2 Effect of Type of Geogrid

85

5 Regression Analysis

86

6 Conclusion

88

References

88

Optimization of Bias Correction Methods for RCM Precipitation Data and Their Effects on Extremes

90

1 Introduction

91

2 Materials and Methodology

92

2.1 Bias Correction Methods

92

2.2 Evaluation Methodology

94

3 Results

94

4 Conclusion

97

References

97

Regional Optimization of Existing Groundwater Network Using Geostatistical Technique

99

1 Introduction

100

2 Study Area

101

3 Methodology

101

3.1 Geostatistical Method

101

3.2 Cross-Validation

102

3.3 Thematic Maps Preparation

103

3.4 Estimating Optimum Observation Wells

103

4 Results and Discussions

104

4.1 Cross-Validation of GWL Fluctuations

104

4.2 Multi-parameter Impact on GLFs

104

4.3 GLFs with Reference to Geological Features

105

4.4 GLFs with Reference to Lineaments

105

4.5 GLFs with Reference to Groundwater Recharge

109

4.6 Optimization

109

5 Conclusion

111

References

111

Water Quality Analysis Using Artificial Intelligence Conjunction with Wavelet Decomposition

113

1 Introduction

114

2 Data Collection/Assessment

115

3 Mathematical Prototyping

116

3.1 Wavelet Analysis

116

3.2 Least Squares Support Vector Regression (LSSVR)

120

3.3 Wavelet LSSVR Prototype

120

4 Simulation Errors

122

4.1 Root-Mean-Square Error (RMSE)

122

4.2 Coefficient of Determination (R2)

122

4.3 Mean Absolute Error (MAE)

122

5 Results and Discussions

123

6 Conclusion

124

References

129

Performance Evaluation of Line of Sight (LoS) in Mobile Ad hoc Networks

130

1 Introduction

130

2 Literature Survey

131

3 Methodology

133

3.1 Two Host Communicative Wirelessly

133

3.2 Adding More Nodes and Decreasing the Communication Range

134

3.3 Establishment of Static Routing

134

3.4 Power Consumption

135

3.5 Configuring Node Movements

135

3.6 Configuring ad hoc Routing (AODV)

136

3.7 Adding Obstacles to the Environment

136

3.8 Changing to a More Realistic Radio Model

137

3.9 Configuring a More Accurate Path Loss Model

137

3.10 Introducing Antenna Gain

138

4 Result Analysis

138

5 Conclusion

143

References

143

Activeness Based Propagation Probability Initializer for Finding Information Diffusion in Social Network

145

1 Introduction

145

2 Background

146

2.1 Research Problem

146

3 Activeness Based Propagation Probability Initializer (APPI)

147

3.1 Activeness Value Finder

147

3.2 Propagation Probability Initializer

148

4 Experimental Results and Discussion

148

4.1 Implementation

148

4.2 Results for Synthetic Network

149

4.3 Real-World Network

150

5 Conclusion and Future Work

150

References

151

Solving Multi-attribute Decision-Making Problems Using Probabilistic Interval-Valued Intuitionistic Hesitant Fuzzy Set and Particle Swarm Optimization

152

1 Introduction

152

2 Preliminaries

153

3 Proposed Algorithm

156

4 Numerical Example

157

5 Conclusion

160

References

160

Assessment of Stock Prices Variation Using Intelligent Machine Learning Techniques for the Prediction of BSE

162

1 Introduction

162

2 Methodology

163

2.1 Data Collection

163

2.2 M5 Prime Regression Tree (M5’)

164

2.3 Multivariate Adaptive Regression Splines (MARS)

164

3 Results and Discussions

164

4 Classification and Regression Tree (CART)

165

5 Conclusion

168

References

169

Short-Term Electricity Load Forecast Using Hybrid Model Based on Neural Network and Evolutionary Algorithm

170

1 Introduction

170

2 Background Details

171

3 Short-Term Electricity Load Forecast

172

4 Experiments and Result Analysis

174

5 Conclusion

178

References

178

Diagnostics Relevant Modeling of Squirrel-Cage Induction Motor: Electrical Faults

180

1 Introduction

180

2 Extended State-Space Model of SCIM

181

2.1 SCIM Models

182

2.2 Key Parameters for SCIM Models

184

3 Squirrel-Cage Induction Motor State Estimation Using Extended Kalman Filter and Discriminatory Ability Index for Model-Based Fault Diagnosis

185

4 Main Simulation Results and Observations

185

4.1 Stator Inter-Turn Fault and Rotor Inter-Turn Fault

185

4.2 Robustness to Parameter Variations

188

5 Conclusion

189

Appendix

190

References

191

Comparative Study of Perturb & Observe (P&O) and Incremental Conductance (IC) MPPT Technique of PV System

193

1 Introduction

193

2 Solar Power Generation

194

3 Maximum Power Point Tracking (MPPT) Algorithm

195

4 Simulation Result: Comparison and Discussion

197

5 Conclusion

199

References

200

Conceptualization of Finite Capacity Single-Server Queuing Model with Triangular, Trapezoidal and Hexagonal Fuzzy Numbers Using ?-Cuts

202

1 Introduction

202

2 Essential Ideas and Definitions

203

2.1 Fuzzy Number [5]

203

2.2 ?-Cut [5]

203

2.3 Triangular Fuzzy Number [8]

203

2.4 Trapezoidal Fuzzy Number [9]

204

2.5 Hexagonal Fuzzy Number [10]

204

2.6 Arithmetic for Interval Analysis [12]

204

3 The Documentations and Suspicions

205

3.1 Suspicions

205

3.2 Documentations

205

4 Formulation of Proposed Lining Miniature

206

5 Solution Approach

206

6 Numerical Illustrations

207

7 Comparison of Triangular, Trapezoidal and Hexagonal Fuzzy Numbers at Various ? Values

210

8 Results and Discussions

211

9 Limitations of the Proposed Model

212

10 Conclusion

212

References

212

A Deteriorating Inventory Model with Uniformly Distributed Random Demand and Completely Backlogged Shortages

214

1 Introduction

214

2 Documentations and Assumptions

216

2.1 Notations

216

2.2 Assumptions

216

3 Mathematical Model

217

4 Algorithm

219

5 Numerical Examples

220

6 Post-Optimal Analysis

220

7 Observations

220

8 Conclusion

221

References

224

Analysis of M/EK/1 Queue Model in Bulk Service Environment

225

1 Introduction

225

2 M/Ek/1 Model in Bulk Service Environment

226

3 Generating Function of the State Probabilities Based on Ambulance Capacity

229

4 Conclusion

230

References

230

Role of Consistency and Random Index in Analytic Hierarchy Process—A New Measure

232

1 Introduction

232

2 Study of Random Index Values

233

2.1 First Attempt to Estimate Random Index Values Using Cubic Function

233

2.2 Least Squares Cubic Function for ‘x’ and R.I(x)

233

2.3 Second Attempt to Evaluate Random Index Values by a New Measure

235

2.4 Least Squares Straight Line for ‘x’ and  bar?max

235

3 Illustrations

236

3.1 Comparison Matrix of Dimension ‘4’

236

3.2 Comparison Matrix of Dimension ‘5’

237

4 Limitations

237

5 Conclusion

237

References

238

Sensitivity Analysis Through RSAWM—A Case Study

239

1 Introduction

239

2 Methodology

240

2.1 Algorithm of RSAW Method

240

2.2 Sensitivity Analysis

240

3 Illustration

241

4 Ranks of the Alternatives by RSAWM

242

5 Changing the Weight of Criteria

242

5.1 Highest Ranked Criteria

243

5.2 Criteria at Random

243

5.3 Least Ranked Criteria

243

6 Conclusion

243

References

243

RSAWM for the Selection of All Round Excellence Award—An Illustration

245

1 Introduction

245

2 Methodology

246

2.1 Algorithm of RSAW Method

246

2.2 Sensitivity Analysis

246

3 Illustration

247

4 Ranks of the Alternatives by RSAWM

247

5 Changing the Weight of Criteria

247

5.1 Highest Ranked Criteria

252

5.2 Criteria at Random

252

5.3 Least Ranked Criteria

252

6 Conclusion

252

Appendix 1

252

Appendix 2

254

Appendix 3

255

References

262

Solving Bi-Level Linear Fractional Programming Problem with Interval Coefficients

263

1 Introduction

263

2 Preliminaries

264

2.1 Arithmetic Operations on Intervals

264

2.2 Variable Transformation Method

265

3 Problem Formulation

265

4 Proposed Method of Solution

266

5 Numerical Example

268

6 Conclusion

270

References

271

RBF-FD Based Method of Lines with an Optimal Constant Shape Parameter for Unsteady PDEs

272

1 Introduction

272

2 RBF-FD Based MOL for Unsteady PDEs

273

3 Optimal Shape Parameter

274

4 Validation

275

5 Conclusion

277

References

277

Parametric Accelerated Over Relaxation (PAOR) Method

279

1 Introduction

279

2 PAOR Method

280

3 Choice of the Parameters ?,r and ?

282

4 Numerical Examples

283

5 Conclusion

284

References

284

Solving Multi-choice Fractional Stochastic Transportation Problem Involving Newton's Divided Difference Interpolation

285

1 Introduction

285

2 Problem Statement

286

3 Solution Methodology

287

3.1 Newton's Divided Difference Interpolating Polynomial for Multi-choice Parameters

287

3.2 Conversion of Probabilistic Constraints

289

4 Numerical Example

291

5 Results and Discussion

293

6 Conclusion

293

References

293

On Stability of Multi-quadric-Based RBF-FD Method for a Second-Order Linear Diffusion Filter

295

1 Introduction

295

2 An RBF-FD Scheme for Unsteady Problems

296

3 Linear Diffusion Filter

297

3.1 Stability of RBF-FD Scheme

298

4 Conclusion

300

References

301

Portfolio Optimization Using Particle Swarm Optimization and Invasive Weed Optimization

302

1 Introduction

302

2 Preliminaries

303

2.1 Risk–Return Portfolio Analysis

303

2.2 Particle Swarm Optimization

304

2.3 Invasive Weed Optimization

305

3 Results and Discussions

305

4 Concluding Remarks

308

References

308

The Influence of Lewis Number on Natural Convective Nanofluid Flows in an Enclosure: Buongiorno’s Mathematical Model: A Numerical Study

310

1 Introduction

310

2 Mathematical Governing Equations

311

3 Numerical Method and Validation

313

4 Results and Discussion

314

5 Conclusion

320

References

320

Reliability Model for 4-Modular and 5-Modular Redundancy System by Using Markov Technique

323

1 Introduction

324

2 Reliability Modelling of a 4-Modular Redundancy System

325

2.1 At Least Two Modules Must Operate for Functioning of the System

325

2.2 At Least Three Modules Must Operate for Functioning of the System

327

3 Reliability Modelling of a 5-Modular Redundancy System

328

3.1 At Least Two Modules Must Operate for Functioning of the System

328

3.2 At Least Three Modules Must Operate for Functioning of the System

329

4 Numerical Results

330

5 Conclusion

332

References

332

An Improved Secant-Like Method and Its Convergence for Univariate Unconstrained Optimization

333

1 Introduction

333

2 An Improved Secant-Like Method

335

3 Numerical Test

337

4 Conclusion

339

References

339

Integrability Aspects of Deformed Fourth-Order Nonlinear Schrödinger Equation

340

1 Introduction

340

2 Lax Pair and Soliton Solutions of D4oNLS Equation

342

2.1 Lax Pair

342

2.2 Soliton Solutions

342

3 Conclusion

348

References

349

A New Approach for Finding a Better Initial Feasible Solution to Balanced or Unbalanced Transportation Problems

351

1 Introduction

351

2 Proposed Method

353

3 Numerical Illustration

355

4 Conclusion

359

References

360

Heat Transfer to Peristaltic Transport in a Vertical Porous Tube

362

1 Introduction

362

2 Mathematical Formulation

363

3 Analysis

365

4 Results and Discussion

367

5 Conclusion

370

References

370

Geometrical Effects on Natural Convection in 2D Cavity

371

1 Introduction

371

2 Governing Equations

372

3 Results and Discussion

373

4 Conclusion

376

References

377

Convection Dynamics of SiO2 Nanofluid

378

1 Introduction

379

2 Mathematical Modeling

379

2.1 Stability Analysis

382

3 Results and Discussions

383

4 Conclusion

385

References

386

Development of a Simple Gasifier for Utilization of Biomass in Rural Areas for Transportation and Electricity Generation

387

1 Introduction

388

2 Experimental Setup

389

3 Results and Discussions

390

4 Conclusion

391

References

391

Identification of Parameters in Moving Load Dynamics Problem Using Statistical Process Recognition Approach

393

1 Introduction

393

2 The Problem Definition

394

3 Statistical Process Recognition (SPR) Approach

396

4 Results and Discussions

398

5 Conclusion

399

References

399

TIG Welding Process Parameter Optimization for Aluminium Alloy 6061 Using Grey Relational Analysis and Regression Equations

400

1 Introduction

400

2 Experimental Work

402

2.1 Design of Experiments (DOE)

402

2.2 Specimen Preparation

404

2.3 Tensile Test

404

2.4 Hardness Test

405

2.5 Optimization Techniques

406

3 Results and Discussion

406

3.1 Grey Relational Analysis (GRA)

406

3.2 Regression Analysis

408

4 Conclusion

410

References

411

Mathematical Modeling in MATLAB for Convection Through Porous Medium and Optimization Using Artificial Bee Colony (ABC) Algorithm

413

1 Introduction

413

2 Mathematical Modeling

414

2.1 ABC Algorithm

415

3 Result and Discussion

415

3.1 Mathematical Modeling with Optimization Techniques

416

3.2 Iteration-Based Graph for Different Algorithms

417

4 Conclusion

419

References

421

Utility Theory Embedded Taguchi Optimization Method in Machining of Graphite-Reinforced Polymer Composites (GRPC)

422

1 Introduction

423

2 Literature Review

423

3 Experimental Details

424

3.1 Materials Used for Fabrication Work

425

3.2 Specification of CNC Vertical Machining Center

426

3.3 Equipment Used for Measuring Responses (Thrust and Torque) During Machining

427

3.4 Metal Removal Rate (MRR)

427

3.5 Surface Roughness (Ra)

428

4 Parametric Optimization: Utility Theory

428

5 Results and Discussions

430

6 Conclusion

431

References

432

Optimization of Micro-electro Discharge Drilling Parameters of Ti6Al4V Using Response Surface Methodology and Genetic Algorithm

433

1 Introduction

434

2 Exper?mentat?on Deta?ls

434

2.1 Work Piece, Tool Material and Dielectric Materials

434

3 Analysis of Variance

436

3.1 Estimation of Recast Layer Thickness, Change in Micro-Hardness Using ANOVA

436

3.2 Optimization Using Genetic Algorithm

437

4 Results and Discussions

439

5 Conclusion

440

References

440

Multi-response Optimization of 304L Pulse GMA Weld Characteristics with Application of Desirability Function

441

1 Introduction

441

2 Experimental Methodology

443

2.1 Fixing the Range of Independent Process Variables

443

2.2 Measurement of Weld Geometrical, Metallurgical and Mechanical Characteristics

444

2.3 Development of Predictive Model

444

2.4 Analysis of Variance for Developed Predictive Models

447

3 Optimization of Process Parameters/Responses with RSM-Based Desirability Approach

448

4 Effect of Preferred Process Variables on Desirability

450

5 Conclusion

451

References

451

Simulation Study on the Influence of Blank Offset in Deep Drawing of Circular Cups

453

1 Introduction

453

2 Tool Setup Design

454

3 Simulation Tests

455

4 Conclusion

459

References

460

PCA-GRA Coupled Multi-criteria Optimisation Approach in Machining of Polymer Composites

461

1 Introduction

461

1.1 Literature Review

462

2 Experimental Detail

463

3 Concept of GRA and PCA

465

4 Results and Discussions

468

5 Conclusion

470

References

471

FEA-Based Electrothermal Modeling of a Die-Sinker Electro Discharge Machining (EDM) of an Aluminum Alloy AA6061

472

1 Introduction

473

2 Numerical Modeling of EDM Process

474

3 Results and Discussions

476

3.1 Calculation of the Theoretical Material Removal Rate, MRRth (Mm3/Min)

476

3.2 Calculation of the Experimental Material Removal Rate, MRRexp (Mm3/Min)

479

4 Conclusion

481

References

482

Modeling of Material Removal Rate and Hole Circularity on Soda–Lime Glass for Ultrasonic Drilling

484

1 Introduction

484

2 Experimental Details

486

3 Methodology

488

4 Results and Discussions

489

5 Conclusion

493

References

494

Experimental Investigation on Chemical-Assisted AISI 52100 Alloy Steel Using MAF

496

1 Introduction

496

2 Experimental Detail

497

2.1 Work Material

497

2.2 Experimental Set-up

498

2.3 Selection of Process Parameters and Their Range

498

2.4 RSM for Parameter Design

498

2.5 Process Variables

500

3 Results and Discussions

501

3.1 Model Summary

502

3.2 Interactive Effects of Inputs Parameters on Surface Roughness

502

3.3 Single Optimisation Through Response Surface Methodology

504

4 Conclusion

505

References

505

Modeling for Rotary Ultrasonic Drilling of Soda Lime Glass Using Response Surface Methodology

506

1 Introduction

506

2 Experimental Details

507

2.1 Selection of Process Parameters and Their Range

508

2.2 RSM for Parameter Design

509

2.3 Process Variables

509

3 Results and Discussions

511

3.1 Mathematical Model

511

3.2 Effect of Process Parameters on MRR and Hole Circularity

512

4 Conclusion

515

References

515

Process Optimization of Digital Conjugate Surfaces: A Review

517

1 Introduction

517

1.1 Conjugate Surface Concept

518

2 Literature Review

520

3 Conclusion

523

References

523

Optimization of Wear Parameters of AA7150-TiC Nanocomposites by Taguchi Technique

525

1 Introduction

525

2 Materials and Methods

526

3 Results and Discussions

529

4 Conclusion

531

References

532

Influence of Pulse GMA Process Variables on Penetration Shape Factor of AISI 304L Welds

533

1 Introduction

533

2 Experimental Methodology

535

2.1 Fixing the Range of Independent Process Variables

535

2.2 Measurement of Weld Geometrical Features

536

3 Application of Analysis of Variance (ANOVA)

536

4 Validation of Results

539

5 Effect of Process Variables on WPSF

540

5.1 Direct Effect of Shielding Gas Flow Rate on WPSF

540

5.2 Direct Effect of Welding Current on WPSF

541

5.3 Direct Effect of Arc Voltage on WPSF

541

5.4 Interactive Effects Among Welding Current and Voltage on WPSF

541

5.5 Interactive Effects of Shielding Gas Flow Rate and Welding Current on WPSF

542

5.6 Interactive Effects of Arc Voltage and Shielding Gas Flow Rate on WPSF

543

6 Conclusion

543

References

545

Numerical Optimization of Trench Film Cooling Parameters Using Response Surface Approach

546

1 Introduction

546

2 Response Surface Approaches

547

2.1 Numerical and Experimental Details

548

3 Results and Discussions

549

4 Conclusion

551

References

552

Analysis of Low Molecular Proteins Obtained from Human Placental Extract Considered as New Strategic Biomaterial for Pulp-Dentinal Regeneration

553

1 Introduction

554

2 Experimental Procedure

555

3 Results and Discussions

556

3.1 Determination of pH of the Solution

557

3.2 Determination of Protein Concentration by Bradford Assay

557

3.3 Identification of Potential Proteins of Interest (Table 3)

558

4 Conclusion

560

References

561

Predictive Data Optimization of Doppler Collision Events for NavIC System

563

1 Introduction

563

2 DC Predictive Analysis Methods for NavIC

564

2.1 Moving Average Filter Method

564

3 Results and Discussions

566

4 Conclusion

568

References

568