Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES 2023 (Smart Innovation, Systems and Technologies, 372)

✍ Scribed by P. H. V. Sesha Talpa Sai (editor), Srikar Potnuru (editor), Mehmet Avcar (editor), Vishesh Ranjan Kar (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 598
• Category: Library

✦ Synopsis

This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2023) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Hyderabad, India, during June 23–24, 2023. It covers topics in the areas of automation, manufacturing technology, and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy, and energy sustainability.

✦ Table of Contents

ICIMES 2023 Committees
Preface
Contents
About the Editors
1 A Multi-objective Optimization Model for Economic-Environmental Operation of Microgrid
1.1 Introduction
1.2 Proposed Model of Microgrid
1.3 Microgrid Components
1.3.1 Modelling of WT and PV Units
1.3.2 Modelling of Micro Turbine (MT)
1.3.3 Modelling of Diesel Generator
1.4 Problem Formulation
1.4.1 Islanded Mode
1.4.2 Grid Connected Mode
1.4.3 Constraints
1.4.4 Maximum Fuzzy Satisfaction Method
1.5 Results and Discussions
1.6 Conclusion
References
2 A Review of Biodegradable Oil Derived from Biomass for Internal Combustion Engine Lubrication
2.1 Introduction
2.1.1 Sources of Bio-Based Engine Lubricants
2.1.2 Advantages and Limitations of Biomass Derived Engine Biolubricant
2.1.3 Current Status of Biomass Derived Biolubricant as Alternative for IC Engines
2.1.4 Thermal Stability and Low Temperature Performance of Biomass Derived Engine Biolubricant
2.1.5 Literature Gap and Scope for Future Researchers Work.
2.2 Conclusion
References
3 Advancing Scientific Research in Computer Science by ChatGPT and LLaMA—A Review
3.1 Introduction
3.2 Related Works
3.3 AI Modelling Datasets
3.3.1 ChatGPT Software Testing Dataset
3.3.2 Human ChatGPT Comparison Corpus Dataset
3.4 AI Approaches
3.4.1 Generative Adversarial Networks (GANs)
3.4.2 Variational Autoencoders (VAEs)
3.4.3 Autoregressive Models (ARMs)
3.4.4 Flow-Based Generative Models (FBGMs)
3.4.5 Recurrent Neural Networks (RNNs)
3.4.6 Generative Stochastic Networks (GSNs)
3.4.7 Generative Moment Matching Networks (GMMNs)
3.4.8 Deep Convolutional Generative Adversarial Networks (DCGANs)
3.5 Chat GPT-3 and LLaMA-I Examples
3.5.1 Chat GPT-3
3.5.2 LLaMA-I
3.6 Discussion and Conclusion
References
4 An Effective Traffic Guidance and Support for Emergency Vehicles Using RFID Technology
4.1 Introduction
4.2 Background of the Research
4.3 Proposed System
4.4 Conclusion
References
5 Analytical Study of the Propagation of GPS Constellation
5.1 Introduction
5.1.1 Constellation Design
5.1.2 Ephemerides
5.2 Results and Discussion
5.2.1 30-Satellite Orbit
5.2.2 Ground Track
5.2.3 Geometric Dilution of Precision (GDOP)
5.3 Conclusion and Future Scope
References
6 Angular RxJS for E-commerce Development
6.1 Introduction
6.1.1 Angular for E-commerce Development
6.1.2 RxJS for E-commerce Development
6.1.3 Significance of Study
6.2 Angular and Its Features for E-commerce Development
6.2.1 Angular Modules and Components
6.2.2 Angular Routing and Navigation
6.2.3 Angular Forms and Templates
6.2.4 Angular Animations
6.3 RxJS and Its Features for E-commerce Development
6.3.1 Reactive Programming and Observables
6.3.2 RxJS Operators and Functions
6.3.3 Real-Time Data Streams and Updates
6.3.4 Use Cases for RxJS in E-commerce Development
6.4 Filtering and Sorting in E-commerce with RxJS
6.4.1 Challenges in Implementing Filtering and Sorting
6.4.2 Using RxJS for Dynamic Filtering and Sorting
6.4.3 Code Example
6.5 Conclusions
References
7 Application of Artificial Intelligence Method for Predicting of Compressive Strength and Materials Required for Self-Compacting Concrete
7.1 Introduction
7.2 Objectives
7.3 Materials Used
7.4 Artificial Neural Networks (ANN)
7.4.1 Data Employed
7.5 ANN Modeling
7.5.1 Prediction of Material Quantities for Different Mixes Using ANN
7.5.2 Prediction of Compression Strength Using ANN
7.6 Experimental Procedure
7.6.1 Production of SCC and Its Fresh Property Tests
7.6.2 Non-destructive Test
7.7 Results and Discussions
7.7.1 Predicted Output Values of ANN
7.7.2 Fresh Property Test Results of SCC
7.7.3 NDT Test Results
7.7.4 Compression Strength Test Results
7.7.5 Comparison of Compression Strength Results
7.8 Conclusion
References
8 CFD of HVAC System to Simulate the Vertical Farm Facility Using OpenFOAM
8.1 Introduction
8.1.1 K-Epsilon Turbulence Model
8.2 Literature Review
8.3 Methodology
8.3.1 Design
8.3.2 Meshing
8.3.3 Boundary Conditions
8.4 Results and Discussions
8.4.1 Velocity
8.4.2 Temperature
8.4.3 Energy
8.4.4 Dissipation Rate
8.5 Conclusion and Future Work
References
9 Computational Analysis and Comparative Study on Ballistic Impact Properties of Composite Materials
9.1 Introduction
9.2 Methodology
9.3 Results and Discussion
9.4 Conclusion
References
10 Computational Modelling on Lithium-Ion Battery Pack Forced Convection Cooling
10.1 Introduction
10.2 Methodology
10.3 Results and Discussion
10.3.1 Effect of Battery Discharge Rate
10.3.2 Effect of Air Flow Rate
10.4 Conclusion
References
11 Computational Studies on Single-Wall Rotating Vaneless Diffuser of a Centrifugal Compressor Stage
11.1 Introduction
11.2 Computational Methodology
11.3 Results and Discussion
11.4 Conclusion
References
12 Conceptual Design and Structural Analysis of a Multipurpose Agricultural Robot
12.1 Introduction
12.2 Robot Architecture and Conceptual Design
12.2.1 Transplanting Mechanism
12.2.2 Weeding Mechanism
12.3 Working
12.4 Static Structural Analysis
12.5 Conclusion and Scope for Future Work
References
13 Condition Based Assessment and Diagnostics of Transformer in Smart Grid Network Using Adaptive Neuro Fuzzy Inference System Framework
13.1 Introduction
13.2 Adaptive Neuro Fuzzy Inference System
13.2.1 Transformer Insulation Deformation in Smart Grid Network
13.3 Results and Discussion
13.3.1 Transformer Paper Deformation Under Moisture and IFT Examination
13.3.2 Transformer Insulation Deformation Under DER and EV Penetration
13.3.3 Limitations and Future Scopes of the Proposed Research Work
13.4 Conclusion
References
14 Cooling High-Powered LEDs Using an Innovative Fully Automated Heat Pipe System
14.1 Introduction
14.1.1 Efficiency of Hybrid Photovoltaic/Thermoelectric Generator from a Condensate Heat Pipe
14.1.2 Heat Pipe
14.1.3 The Cooling System’s Regulatory Apparatus
14.1.4 Thermoelectric Generators
14.2 Numerical Investigation
14.2.1 Proposed Layout Setup
14.3 Result and Discussion
14.4 Conclusion
References
15 Coupling Code for Real-Time Simulation of a Wave Energy Converter
15.1 Introduction
15.2 Code Overview
15.3 Theoretical Calculations
15.4 Conclusions
References
16 Damage Identification on Aircraft Wing Using Convolutional Neural Network Based Pattern Recognition
16.1 Introduction
16.1.1 Structural Health Monitoring (SHM)
16.1.2 Damage Identification
16.1.3 Machine Learning (Neural Network Pattern Recognition)
16.2 Structural Health Monitoring Using Machine Learning
16.3 Methodology
16.3.1 Numerical Simulation
16.3.2 Image Classification Using Machine Learning
16.3.3 Components Used
16.4 Result and Discussion
16.4.1 Numerical Simulation
16.4.2 Experimental Results
16.5 Conclusion
References
17 Design and Numerical Analysis of Electromagnetic Rail Gun for Defense Applications
17.1 Introduction
17.2 Literature Review
17.3 Working and Principle
17.4 Design of Rail Gun
17.5 Results and Discussions
17.6 Conclusion
References
18 Design of Energy Efficient Reversible Full Adder and Ripple Carry Adder for Digital Computing Applications
18.1 Introduction
18.2 Full Adder
18.3 Ripple Carry Adder
18.4 Reversible Logic Gates
18.4.1 Feynman Gate
18.4.2 Toffoli Gate
18.4.3 New Gate
18.5 Proposed Full Adder
18.6 Proposed Ripple Carry Adder
18.7 Comparision with Normal Gates and Reversible Gates
18.8 Simulation Results and Discussion
18.9 Conclusion
References
19 Design of Low Power 11T SRAM Cell Using CNTFET Technology
19.1 Introduction
19.2 Brief Review of CNTFET Technology
19.3 Related Literature
19.4 Proposed 11T SRAM Cell Using CNTFET
19.5 Results and Discussion
19.6 Conclusion
References
20 Designing of Photovoltaic System Using Matlab
20.1 Introduction
20.1.1 Working
20.1.2 Factors Affecting the Development of the FPV System
20.2 Literature Review
20.3 Designing a Model of 200 W PV Module in MATLAB
20.3.1 Indian FSPV Projects for the 2019–2020 Budget Year
20.4 Comparative Studies
20.5 Conclusions
References
21 Development of a Pellet Rotation System for Automated Visual Inspection
21.1 Introduction
21.2 Development of Pellet Rotation System
21.2.1 Rotating a Body
21.2.2 Electrical Actuation System
21.2.3 Mechanical Actuation System
21.3 Working of Pellet Rotation System
21.4 Automated Visual Inspection
21.5 Conclusion
References
22 Development of Conceptual Model for the Introduction Stage of Lean Intelligent Manufacturing Using Simulation Model Based on the Identification of the Appropriate Technologies of Industry 5.0
22.1 Introduction
22.2 Method
22.3 A Simulation Analysis Based on the VSM
22.4 Conceptual Model for Identifying the Appropriate Technologies of Industry 5.0 Based on the Lean Intelligent Manufacturing
22.5 Conclusion
References
23 DSP Based Inbuilt Active PFC Battery Charger
23.1 Introduction
23.2 Battery Chargers for Electric Vehicles
23.3 Chargers Topologies
23.4 Model Setup of DSP Based Charger
23.5 Result and Analysis
23.6 Conclusion
References
24 Effect of Rotor Tip and Stator Hub Clearance on Aero Performance in Axial Flow Compressors for Aero Gas Turbine Engines
24.1 Introduction
24.2 Methodology
24.2.1 CFD Code Validation Study
24.2.2 Solid Modeling of Blade Geometry in Flow Domain
24.2.3 Grid Generation and Grid Convergence Study
24.2.4 Boundary Condition
24.2.5 Solution Methodology
24.3 Results and Discussion
24.4 Conclusions
References
25 Efficiency Enhancement and Energy Optimization in Alloy Steel Drilling: An Experimental and Statistical Analysis
25.1 Introduction
25.2 Materials and Methods
25.2.1 Description of the Experimental Setting
25.2.2 Experiment Design
25.3 Optimization of ÄECm/c for Drilling of ST 52.3
25.3.1 Analysis of Variance (ANOVA) for ÄECm/c
25.3.2 Response Surface Model (RSM) of ÄECm/c
25.3.3 Confirmatory Experiments and Parameters Used in the Industry
25.4 Conclusions
References
26 Efficient and Cost-Effective Renewable Energy Integration of Photovoltaic and Hydro in Rural India Using HOMER Pro: A Case Study of Chupki, Punjab
26.1 Introduction
26.2 Literature Survey
26.3 Materials and Methods
26.3.1 Study Location
26.3.2 Data Collection and Load Profile
26.3.3 Resource Assessment
26.4 Hybrid System Designing and Simulation
26.5 Implications, Conclusions and Future Scope
26.5.1 Implications
26.5.2 Conclusions
26.5.3 Future Scope
References
27 Emerging Power Quality Challenges due to Integration of Renewable Energy Sources in AC/DC Microgrids
27.1 Introduction
27.2 Integration of Renewable Energy Sources
27.3 PV Systems
27.3.1 PV Cell Model
27.3.2 PV Operating Characteristics
27.3.3 Incremental Conductance MPPT Technique
27.3.4 Fuzzy Logic Controller
27.4 Wind Energy Conversion System
27.4.1 Mechanical Power Measurement-Based Modified MPPT Technique
27.5 Conclusion
References
28 Evaluation of Mechanical Properties in Friction Stir Welding of Aluminium AA6061 with Various Tool Pin Profiles at Different Process Parameters
28.1 Introduction
28.2 Methodology
28.3 Experimentation and Materials
28.3.1 CATIA Design and Manufacturing of Tool Pin Profiles
28.3.2 Process Parameters and Materials
28.4 Testing
28.4.1 UTM Testing
28.4.2 Macro-Hardness Testing
28.4.3 Izod Impact Testing
28.4.4 Liquid Penetrant Testing (LPT)
28.5 Results and Discussions
28.5.1 UTM Test
28.5.2 Macro-Hardness Test
28.5.3 Izod Impact Test
28.6 Conclusions
References
29 Experimental and Numerical Analysis of Flow Acoustics Over Different Co-annular Nozzle Shapes
29.1 Introduction
29.2 Literature Survey
29.3 Methodology
29.3.1 Computational Setup
29.3.2 Experimental Setup
29.4 Results and Discussion
29.5 Conclusion
References
30 Experimental Investigations on Aerodynamics Parameters of Combined Tubercles with Vortex Generator on NACA 0015 Wing Airfoils
30.1 Introduction
30.2 Experimental Investigation
30.3 Results and Discussion
30.4 Conclusion
References
31 Fabrication and Characterization of Carbon Nano Tube Reinforced with Alumina Matrix Material
31.1 Introduction
31.2 Methodology
31.2.1 Sol–Gel Technique for Producing Al2O3/CNT
31.2.2 Nano-Composites with CNT Reinforcement in an Al2O3 Matrix Are Consolidated and Characterized
31.3 Results and Discussion
31.4 Conclusion
References
32 Flow Prediction Models for a Mini Hydroelectric Power Station
32.1 Introduction
32.2 Problem
32.3 Development
32.3.1 Results
32.3.2 Discussion
32.4 Conclusions
References
33 Geothermal Gradient in India—Comparison and Current Status
33.1 Introduction
33.2 Literature Survey
33.3 Geothermal Energy in India
33.4 Methodology
33.5 GHG Emission Analysis Using RETscreen
33.6 Conclusion
References
34 Hardness and Wear Studies of AA 7075-B4C-Gr Composite Produced by Stir Casting Technique
34.1 Introduction
34.2 Materials and Method
34.2.1 Materials
34.2.2 Method of Fabrication of Composite
34.2.3 Hardness
34.2.4 Heat Treatment
34.2.5 Wear Test
34.3 Results and Discussion
34.3.1 Hardness
34.3.2 Wear Test
34.4 Conclusion
References
35 Investigations on the Influence of Stacking Sequence on the Mechanical Properties of Kevlar/Jute Composite Laminates
35.1 Introduction
35.2 Materials and Methods
35.3 Results and Discussion
35.4 Conclusion
References
36 Modelling and Simulation of Electric Vehicle-to-Load (V2L) Configuration Using MATLAB
36.1 Introduction
36.2 Literature Review
36.2.1 Problem Formulation and Novelty of Work
36.3 Methodology
36.3.1 Controller Topology
36.3.2 Proportional Integral
36.4 Proposed Methodology for Inverter Applications
36.5 Simulation Results
36.6 Conclusion
References
37 Modelling, Simulation and Analysis of a High-Speed Wing of the UAV
37.1 Introduction
37.2 Geometric Modelling of the Wing
37.3 Finite Element Modelling of the Wing
37.4 Results and Discussion
37.4.1 Modal Analysis
37.4.2 Linear Static Structural Analysis
37.4.3 Buckling Analysis
37.5 Conclusion
References
38 Net Zero Energy Building: A Case Study of Jaisalmer
38.1 Introduction
38.1.1 Net Plus or Positive Energy Building
38.1.2 Nearly Zero Energy Building (nZEB)
38.1.3 Net Zero Energy Building (NZEB)
38.2 Literature Review
38.3 The Rajkumari Ratnavati Girls School
38.3.1 History and Location
38.3.2 Structure Design and Sustainability
38.4 Passive Design Strategies
38.4.1 Orientation
38.4.2 Building Material
38.4.3 Ventilation
38.4.4 GYAAN Centre: A Unique Trifecta of Architecture
38.5 Conclusion
References
39 Numerical Simulations of the Cutting Forces in an End Milling Process with Process Damping, Tool Runout and Variable Pitch Effects
39.1 Introduction
39.2 Modeling of Cutting Force Simulations
39.2.1 Effects of Process Damping
39.2.2 Tool Run-Out and Cutting Force Modelling
39.2.3 Cutting Force Modelling Considering the Influence of Pitch
39.3 Results and Discussions
39.4 Conclusions
References
40 Optimization of Blade Geometry for Two Bladed Savonius Wind Turbine
40.1 Introduction
40.2 Experimental Setup
40.3 Results and Discussion
40.3.1 Effect of Overlap
40.3.2 Effect of Blade Arc Angle
40.4 Conclusions
References
41 Optimizing Electrical System Performance with Machine Learning: An Analysis of Algorithms
41.1 Introduction
41.2 Machine Learning Algorithms
41.3 Analyzing the Electrical Data Using Machine Learning Algorithms
41.4 Conclusion
References
42 Performance Analysis of a Parabolic Trough Collector
42.1 Introduction
42.2 Types of Solar Collectors
42.3 Literature Review
42.4 Methodology
42.5 Parameters of a Parabolic Trough System
42.6 Site Selection and Load Estimation
42.7 Simulation
42.7.1 TRNSYS® Simulation Model
42.7.2 Pump
42.7.3 Tee Piece Connector and Diverter
42.7.4 PCM Horizontal Storage Tank
42.8 Steady State Analysis
42.9 Results and Discussion
42.10 Conclusion
References
43 PLL Based Photovoltaic System of LCL Three-Phase Grid Connected Inverter with and Without SVPWM Technique
43.1 Introduction
43.2 Solar PV Module
43.3 Isolated DC–DC Converter
43.4 Incremental Conductance Algorithm (INC)
43.5 DC Link
43.6 Three Phase Grid Tied LCL Inverter
43.6.1 Voltage Source Inverter (VSI)
43.6.2 LCL Filter Design
43.6.3 DQ Theory
43.7 SPWM Technique
43.8 SVPWM Technique
43.9 Conclusion
References
44 Predicting Compressive Strength of Self-Repairing Concrete Using Artificial Neural Networks
44.1 Introduction
44.2 Research Significance
44.3 Specimen Fabrication and Test Procedure
44.3.1 Data Set Development for ANN
44.4 Preparation of Concrete Specimens
44.4.1 Input and Output Data Sets
44.5 Results and Discussion
44.5.1 Network Training
44.5.2 ANN Model Development
44.6 Conclusion
References
45 Predicting the Strength Properties of LWC Using Response Surface
45.1 Introduction
45.2 Research Significance
45.3 Specimen Fabrication and Test Procedure
45.4 Experimental Observations
45.5 Response Surface Method
45.5.1 Residual Plots
45.5.2 Effect of Cement, Metakaolin, Silica Fume and Vermiculite on CS, STS and FS
45.6 Performance Evaluation
45.7 Conclusions
References
46 Properties, Applications, Defects, and Failures of Magnetorheological Fluids
46.1 Introduction
46.1.1 Magnetorheological Fluid
46.2 Properties of Magnetorheological Fluid
46.3 Applications of Magnetorheological Fluid
46.3.1 Dampers
46.3.2 Brakes
46.3.3 Clutches
46.3.4 Fixtures
46.3.5 Designing of the Prosthetic Devices
46.3.6 Dental Implants
46.4 Defects and Failures of MR Fluid
46.4.1 Hard Cake
46.4.2 Clumping Effect
46.4.3 Particle Oxidation
46.4.4 Fluid Particle Separation (FPS)
46.5 Conclusion
References
47 Properties, Preparation, Applications and Handling of Aerogels
47.1 Introduction
47.1.1 Aerogels
47.2 Properties of Silica Aero Gels
47.2.1 Thermal Properties
47.2.2 Optical Properties
47.2.3 Acoustic Properties
47.2.4 Mechanical Properties
47.2.5 Dielectric Properties
47.3 Preparation of Aerogels
47.3.1 Preparation of Cell
47.3.2 Ageing of Gel
47.3.3 Drying
47.4 Applications of Aerogels
47.4.1 Flight Vehicle Application
47.4.2 Aerogels Application in Field of Construction
47.4.3 Cherenkov Detectors
47.4.4 Acoustic Applications
47.4.5 Aerogels Used in Catalysis
47.4.6 Aerogels in Microelectronics
47.4.7 Aerogels in Gases and Liquids Purification
47.4.8 Detection of Harmful Microorganisms
47.4.9 Biomedical Applications of Aerogels
47.4.10 Influence of Aerogels on Superfluidity
47.4.11 Aerogels as Cosmic Dust Collectors
47.5 Aerogels in Microelectronics
47.6 Conclusion
References
48 Role of Machine Learning in Sustainable Manufacturing Practices: An Outline
48.1 Introduction
48.2 Application of Machine Learning in Sustainable Manufacturing
48.2.1 Waste Management
48.2.2 Energy Optimization
48.2.3 Renewable Energy
48.2.4 Supply Chain Optimization
48.2.5 Predictive Maintenance
48.2.6 Carbon Footprint Reduction
48.2.7 Water Conservation
48.2.8 Sustainable Product Design
48.3 Future of Machine Learning in SMPs
48.4 Concluding Remarks
References
49 Study of Hydrogen Combustion in a Mini Annular Combustion Chamber Using CFD
49.1 Introduction
49.2 Numerical Methodology
49.3 Results and Discussion
49.4 Conclusion
References
50 Synthesis and Characterization of MWCNT Ink Using Gum Arabic
50.1 Introduction
50.2 Experimental Section
50.2.1 Materials
50.2.2 Synthesis of MWCNT Ink Using Gum Arabic.
50.3 Characterization Techniques
50.4 Results and Discussion
50.4.1 Particle Size Analyser
50.4.2 Zeta Potential Measurement
50.4.3 UV–Visible Spectroscopy
50.4.4 Electrochemical Analysis
50.5 Conclusion
References
51 Technological Reconversion of a Climatic Chamber for the Artificial Rearing of Fruit Flies of the Species (Anastrepha striata)
51.1 Introduction
51.2 Development
51.2.1 Climatic Chamber
51.2.2 Biological Material
51.2.3 Fly Breeding
51.2.4 Adult and Larval Diet Formulations
51.2.5 Generational Analysis
51.2.6 Data Analysis
51.3 Results
51.4 Conclusions
References
52 Unpaired Image-to-Image Translation Based Artwork Restoration Using Generative Adversarial Networks
52.1 Introduction
52.2 Related Work
52.2.1 Image Restoration
52.2.2 Artwork Restoration
52.3 Dataset Description and Workflow
52.4 System Architecture
52.5 Training and Results
52.5.1 Experimental Setup
52.5.2 Evaluation Metrics
52.5.3 Visual Analysis
52.6 Conclusions
References
53 Wear Behaviour and Hardness of CNT Reinforced Alumina Composites
53.1 Introduction
53.2 Methodology
53.2.1 Sol–Gel Technique for Producing Carbon Nanotube-Reinforced Alumina Composite Powders
53.2.2 Characterization of Al2O3/CNT’s
53.3 Results and Discussion
53.3.1 Hardness and Wear Resistance
53.3.2 Effect of Process Parameters on Wear Behaviour
53.4 Conclusion
References