Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Blockchain Technology for Enhancing Supply Chain Performance and Reducing the Threats Arising from the COVID-19 Pandemic
| Blockchain Technology for Enhancing Supply Chain Performance and Reducing the Threats Arising from the COVID-19 Pandemic |
| Autore | Muduli Kamalakanta |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (138 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
sustainable agricultural supply chain management
web design elements blockchain variable demand cooperative advertisement uncertain environment supply chain digitalization Ethereum blockchain IPFS COVID-19 pandemic visibility transparency smart contracts sustainability supply chain management literature review automotive supply chains simulation case study Industry 4.0 humanitarian activities (HAs) humanitarian organization (HO) pandemic disruption COVID-19 blockchain-enabled digital humanitarian networks (BT-DHN) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566485803321 |
Muduli Kamalakanta
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent manufacturing management systems : operational applications of evolutionary digital technologies in mechanical and industrial engineering / / edited by Kamalakanta Muduli [and four others]
| Intelligent manufacturing management systems : operational applications of evolutionary digital technologies in mechanical and industrial engineering / / edited by Kamalakanta Muduli [and four others] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc. and Scrivener Publishing LLC, , [2023] |
| Descrizione fisica | 1 online resource (402 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Production control |
| ISBN |
1-119-83678-6
1-119-83677-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part I: Smart Technologies in Manufacturing -- Chapter 1 Smart Manufacturing Systems for Industry 4.0 -- Abbreviations -- 1.1 Introduction -- 1.2 Research Methodology -- 1.3 Pillars of Smart Manufacturing -- 1.3.1 Manufacturing Technology and Processes -- 1.3.2 Materials -- 1.3.3 Data -- 1.3.4 Sustainability -- 1.3.5 Resource Sharing and Networking -- 1.3.6 Predictive Engineering -- 1.3.7 Stakeholders -- 1.3.8 Standardization -- 1.4 Enablers and Their Applications -- 1.4.1 Smart Design -- 1.4.2 Smart Machining -- 1.4.3 Smart Monitoring -- 1.4.4 Smart Control -- 1.4.5 Smart Scheduling -- 1.5 Assessment of Smart Manufacturing Systems -- 1.6 Challenges in Implementation of Smart Manufacturing Systems -- 1.6.1 Technological Issue -- 1.6.2 Methodological Issue -- 1.7 Implications of the Study for Academicians and Practitioners -- 1.8 Conclusion -- References -- Chapter 2 Smart Manufacturing Technologies in Industry 4.0: Challenges and Opportunities -- Abbreviations -- 2.1 Introduction to Smart Manufacturing -- 2.1.1 Background of SM -- 2.1.2 Traditional Manufacturing versus Smart Manufacturing -- 2.1.3 Concept and Evolution of Industry 4.0 -- 2.1.4 Motivations for Research in Smart Manufacturing -- 2.1.5 Objectives and Need of Industry 4.0 -- 2.1.6 Research Methodology -- 2.1.7 Principles of I4.0 -- 2.1.8 Benefits/Advantages of Industry 4.0 -- 2.2 Technology Pillars of Industry 4.0 -- 2.2.1 Automation in Industry 4.0 -- 2.2.1.1 Need of Automation -- 2.2.1.2 Components of Automation -- 2.2.1.3 Applications of Automation -- 2.2.2 Robots in Industry 4.0 -- 2.2.2.1 Need of Robots -- 2.2.2.2 Advantages of Robots -- 2.2.2.3 Applications of Robots -- 2.2.2.4 Advances Robotics -- 2.2.3 Additive Manufacturing (AM) -- 2.2.3.1 Additive Manufacturing's Potential Applications.
2.2.4 Big Data Analytics -- 2.2.5 Cloud Computing -- 2.2.6 Cyber Security -- 2.2.6.1 Cyber-Security Challenges in Industry 4.0 -- 2.2.7 Augmented Reality and Virtual Reality -- 2.2.8 Simulation -- 2.2.8.1 Need of Simulation in Smart Manufacturing -- 2.2.8.2 Advantages of Simulation -- 2.2.8.3 Simulation and Digital Twin -- 2.2.9 Digital Twins -- 2.2.9.1 Integration of Horizontal and Vertical Systems -- 2.2.10 IoT and IIoT in Industry 4.0 -- 2.2.11 Artificial Intelligence in Industry 4.0 -- 2.2.12 Implications of the Study for Academicians and Practitioners -- 2.3 Summary and Conclusions -- 2.3.1 Benefits of Industry 4.0 -- 2.3.2 Challenges in Industry 4.0 -- 2.3.3 Future Directions -- Acknowledgement -- References -- Chapter 3 IoT-Based Intelligent Manufacturing System: A Review -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Research Procedure -- 3.3.1 The Beginning and Advancement of SM/IM -- 3.3.2 Beginning of SM/IM -- 3.3.3 Defining SM/IM -- 3.3.4 Potential of SM/IM -- 3.3.5 Statistical Analysis of SM/IM -- 3.3.6 Future Endeavour of SM/IM -- 3.3.7 Necessary Components of IoT Framework -- 3.3.8 Proposed System Based on IoT -- 3.3.9 Development of IoT in Industry 4.0 -- 3.4 Smart Manufacturing -- 3.4.1 Re-Configurability Manufacturing System -- 3.4.2 RMS Framework Based Upon IoT -- 3.4.3 Machine Control -- 3.4.4 Machine Intelligence -- 3.4.5 Innovation and the IIoT -- 3.4.6 Wireless Technology -- 3.4.7 IP Mobility -- 3.4.8 Network Functionality Virtualization (NFV) -- 3.5 Academia Industry Collaboration -- 3.6 Conclusions -- References -- Chapter 4 3D Printing Technology in Smart Manufacturing Systems for Efficient Production Process -- Abbreviations -- 4.1 Introduction and Literature Reviews -- 4.1.1 Motivation Behind the Study -- 4.1.2 Objective of the Chapter -- 4.2 Network in Smart Manufacturing System. 4.2.1 Challenges for Smart Manufacturing Industries -- 4.2.2 Smart Manufacturing Current Market Scenario -- 4.3 Data Drives in Smart Manufacturing -- 4.3.1 Benefits of Data-Driven Manufacturing -- 4.4 Manufacturing of Product Through 3D Printing Process -- 4.4.1 3D Printing Technology -- 4.4.2 3D Printing Technologies Classification -- 4.4.3 3D Printer Parameters -- 4.4.4 Significance of Honeycomb Structure -- 4.4.5 Acrylonitrile Butadiene Styrene (ABS) Thermoplastic Polymer Used for Honeycomb Structures Model -- 4.4.6 3D Printing Parameters and Their Descriptions -- 4.5 Conclusion -- References -- Chapter 5 Smart Inventory Control: Proposed Framework on Basis of IoT, RFID, and Supply Chain Management -- 5.1 Introduction -- 5.2 Objectives -- 5.3 Research Methodology -- 5.4 Literature Review -- 5.5 Components of SIM -- 5.5.1 Supply Chain Management (SCM) -- 5.5.2 Inventory Management System (IMS) -- 5.5.3 Internet of Things (IoT) -- 5.5.4 RFID System -- 5.5.5 Maintenance, Repair, and Operations -- 5.5.6 Deep Reinforcement Learning -- 5.6 Framework -- 5.7 Optimization -- 5.7.1 Inventory Optimization -- 5.8 Results and Discussion -- 5.9 A Mirror to Researchers and Managers -- 5.10 Conclusions -- 5.11 Future Scope -- References -- Chapter 6 Application of Machine Learning in the Machining Processes: Future Perspective Towards Industry 4.0 -- 6.1 Introduction -- 6.2 Machine Learning -- 6.3 Smart Factory -- 6.4 Intelligent Machining -- 6.5 Machine Learning Processes Used in Machining Process -- 6.6 Performance Improvement of Machine Structure Using Machine Learning -- 6.7 Conclusions -- References -- Chapter 7 Intelligent Machine Learning and Deep Learning Techniques for Bearings Fault Detection and Decision-Making Strategies -- Abbreviations -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Methodology -- 7.3.1 Dataset Preparation -- 7.3.2 CWRU Dataset. 7.3.3 Methodology Flow Chart -- 7.3.4 Data Pre-Processing -- 7.3.5 Models Deployed -- 7.3.6 Training and Testing -- 7.4 Analysis -- 7.4.1 Datasets -- 7.4.2 Feature Extraction -- 7.4.3 Splitting of Data into Samples -- 7.4.4 Algorithms Used -- 7.4.4.1 Multinomial Logistic Regression -- 7.4.4.2 K-Nearest Neighbors -- 7.4.4.3 Decision Tree -- 7.4.4.4 Support Vector Machine (SVM) -- 7.4.4.5 Random Forest -- 7.5 Results and Discussion -- 7.5.1 Importance of Classification Reports -- 7.5.2 Importance of Confusion Matrices -- 7.5.3 Decision Tree -- 7.5.4 Random Forest -- 7.5.5 K-Nearest Neighbors -- 7.5.6 Logistic Regression -- 7.5.7 Support Vector Machine -- 7.5.8 Comparison of the Algorithms -- 7.5.8.1 Accuracies -- 7.5.8.2 Precision and Recall -- 7.6 Conclusions -- 7.7 Scope of Future Work -- References -- Chapter 8 Smart Vision-Based Sensing and Monitoring of Power Plants for a Clean Environment -- 8.1 Introduction -- 8.1.1 Color Image Processing -- 8.1.2 Motivation -- 8.1.3 Objectives -- 8.2 Literature Review -- 8.2.1 Gas Turbine Power Plants -- 8.2.2 Artificial Intelligent Methods -- 8.3 Materials and Methods -- 8.3.1 Feature Extraction -- 8.3.2 Classification -- 8.4 Results and Discussion -- 8.4.1 Fisher's Linear Discriminant Function (FLDA) and Curvelet -- 8.5 Conclusion -- 8.5.1 Future Scope of Work -- References -- Chapter 9 Implementation of FEM and Machine Learning Algorithms in the Design and Manufacturing of Laminated Composite Plate -- Abbreviations -- 9.1 Introduction -- 9.2 Numerical Experimentation Program -- 9.3 Discussion of the Results -- 9.4 Conclusion -- Acknowledgements -- References -- Part II: Integration of Digital Technologies to Operations -- Chapter 10 Edge Computing-Based Conditional Monitoring -- 10.1 Introduction -- 10.1.1 Problem Statement -- 10.2 Literature Review -- 10.3 Edge Computing -- 10.4 Methodology. 10.5 Discussion -- 10.5.1 Predictive Maintenance -- 10.5.2 Energy Efficiency Management -- 10.5.3 Smart Manufacturing -- 10.5.4 Conditional Monitoring via Edge Computing Locally -- 10.5.5 Lesson Learned -- 10.6 Conclusion -- References -- Chapter 11 Optimization Methodologies in Intelligent Manufacturing Systems: Application and Challenges -- 11.1 Introduction -- 11.2 Literature Review -- 11.3 Intelligent Manufacturing System Framework -- 11.3.1 Principles of Developing Industry 4.0 Solutions -- 11.3.2 Quantitative Analysis -- 11.3.2.1 Optimization Characteristics and Requirements of Industry 4.0 -- 11.3.3 Optimization Methodologies and Algorithms -- 11.4 Bayesian Networks (BNs) -- 11.4.1 Instance-Based Learning (IBL) -- 11.4.2 The IB1 Algorithm -- 11.4.3 Artificial Neural Networks -- 11.4.4 A Comparison Between Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN) -- 11.5 Problems of Implementing Machine Learning in Manufacturing -- 11.6 Conclusions -- References -- Chapter 12 Challenges of Warehouse Management Towards Smart Manufacturing: A Case of an Indian Consumer Electrical Company -- 12.1 Introduction -- 12.2 Literature Review -- 12.2.1 Shortage of Space -- 12.2.2 Non-Moving Materials -- 12.2.3 Lack of Action on Liquidation -- 12.2.4 Defective Material from Both Ends -- 12.2.5 Gap Between the Demand and the Supply -- 12.2.6 Multiple Price Revision -- 12.2.7 More Manual Timing for Loading and Unloading -- 12.2.8 Operational Challenges for Seasonal Products -- 12.2.9 Lack of Automation -- 12.2.10 Manpower Balancing Between Peak and Off -- 12.3 The Proposed ISM Methodology -- 12.3.1 Establishment of the Structural Self-Interaction Matrix (SSIM) -- 12.3.2 Creation of the Reachability Matrix -- 12.3.3 Implementation of the Level Partitions -- 12.3.4 Classification of the Selected Challenges. 12.3.5 Development of the Final ISM Model. |
| Record Nr. | UNINA-9910830450703321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc. and Scrivener Publishing LLC, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
New Materials, Processing and Manufacturability : Fabrication and Processing of Advanced Materials
| New Materials, Processing and Manufacturability : Fabrication and Processing of Advanced Materials |
| Autore | Thanigaivelan R |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (413 pages) |
| Altri autori (Persone) |
KrishnanPradeep Kumar
MuduliKamalakanta TamangSantosh Kumar |
| ISBN |
1-394-21273-9
1-394-21272-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Aluminum and Its Different Graded Alloys -- 1.1 Introduction -- 1.1.1 AA1XXX Series -- 1.1.2 AA2XXX Series -- 1.1.3 AA3XXX Series -- 1.1.4 AA4XXX Series -- 1.1.5 AA5XXX Series -- 1.1.6 AA6XXX Series -- 1.1.7 AA7XXX Series -- 1.1.8 AA8XXX Series -- 1.2 Other Aluminum Materials -- 1.3 Applications -- 1.4 Conclusion -- 1.5 Future Scope -- References -- Chapter 2 Cold Spray Additive Manufacturing -- 2.1 Introduction -- 2.2 Phenomena and Factors Behind CSAM -- 2.3 Different CSAM Techniques -- 2.4 Advantages of CSAM -- 2.5 Disadvantages of CSAM -- 2.6 Numerical Simulation of CSAM of Ti6Al4V Pellets on Ti6Al4V Substrate -- 2.7 Conclusion -- 2.8 Future Scope -- References -- Chapter 3 Optimization of Gas Metal Arc Welding (GMAW) Cladding Parameters for Enhanced Weld Integrity in Low-Carbon Steel Plates (EN30) -- 3.1 Introduction -- 3.2 Experimental Work -- 3.2.1 Dilution Calculation Procedure -- 3.3 Parametric Study -- 3.3.1 Influences on PSF -- 3.3.2 Influences on RFF -- 3.3.3 Influence on D -- 3.4 Taguchi Optimization -- 3.4.1 Determination of Optimal Cladding Conditions -- 3.4.2 Maximization of PSF -- 3.4.3 Minimization of RFF -- 3.4.4 Minimization of D -- 3.5 Conclusions -- Acknowledgement -- References -- Chapter 4 Design and Development of Brake Pedal by Topology Optimization Approach -- 4.1 Introduction -- 4.2 Structure Optimization -- 4.3 Topology Optimization -- 4.4 Optimization Results -- 4.5 Conclusion -- References -- Chapter 5 Enhancing Resistance Spot Welding Weld Quality: A Comprehensive Analysis of Influencing Factors and the Role of Modeling and Optimization for Improved Quality -- 5.1 Introduction -- 5.2 Influence of Welding Current and Time -- 5.3 Influence of Resistivity, Surface Preparation, and Cleanliness.
5.4 Effect of Electrode Force and Electrode Tip Geometry -- 5.5 Modeling and Optimization of RSW Parameters -- 5.6 Conclusion -- References -- Chapter 6 Shot-Peening Influence on Corrosion Behavior of SiC Particle Reinforced Aluminum Composite -- 6.1 Introduction -- 6.2 Experimental Procedure -- 6.2.1 Fabrication of Composite -- 6.2.2 Microstructure Analysis -- 6.2.3 Shot-Peening Process -- 6.2.4 Surface Characteristics -- 6.2.5 Residual Stress Measurement -- 6.2.6 Microhardness Measurement -- 6.2.7 Immersion Corrosion Test -- 6.3 Results and Discussion -- 6.3.1 Microstructure of AA6061- SiCP MMC -- 6.3.2 Surface Morphology -- 6.3.3 X-Ray Diffraction -- 6.4 Residual Stress -- 6.5 Hardness Variation -- 6.6 Surface Roughness -- 6.7 Corrosion Behavior -- 6.8 Conclusion -- References -- Chapter 7 3D Printing: Fundamentals, Applications, and Future Prospects -- 7.1 Introduction -- 7.2 Materials for 3D Printing -- 7.2.1 Stages Involved in the Process of 3D Printing -- 7.2.2 3D Printing Technologies -- 7.2.3 Applications of 3D Printing -- 7.2.4 Advantages of 3D Printing -- 7.2.5 Disadvantages of 3D Printing -- 7.3 Future Prospects of 3D Printing Technology -- 7.4 Conclusions -- References -- Chapter 8 Cutting Zone Temperature and Cutting Force in 3D-Milling Operations Using ABAQUS -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Objectives -- 8.4 Methodology -- 8.5 Simulation -- 8.5.1 Geometry -- 8.5.2 Boundary Conditions -- 8.5.3 Meshing Details -- 8.5.4 Step Information -- 8.6 Milling Conditions -- 8.7 Result and Discussion -- 8.7.1 Effect of Cutting Parameters on Force Distribution -- 8.7.2 Effect of Cutting Parameters on Stress Distribution -- 8.8 Conclusion -- References -- Chapter 9 A Rare Ferroelectric Material: Fresnoite (Ba2TiSi2O8) -- 9.1 Introduction -- 9.2 Experimental -- 9.2.1 Materials and Methods -- 9.3 Characterization Details. 9.3.1 Powder X-Ray Diffraction -- 9.3.2 Scanning Electron Microscope -- 9.3.3 Raman Spectroscopy -- 9.3.4 DC Conductivity and Dielectric -- 9.3.5 Modulated Differential Scanning Calorimetry -- 9.4 Result and Discussion -- 9.4.1 X-Ray Diffraction Analysis -- 9.4.2 Morphological Analysis -- 9.4.3 Raman Spectroscopic Analysis -- 9.4.4 Electrical Analysis -- 9.4.5 Thermal Analysis -- 9.5 Conclusion -- References -- Chapter 10 Research Progress and Developments in GTAW Process Using Visual Sensing and Weld Penetration Estimation -- 10.1 Introduction -- 10.2 GTAW Process -- 10.2.1 Current -- 10.2.2 Speed -- 10.2.3 Voltage -- 10.2.4 Shielding Gas -- 10.3 Sensing Technologies in Welding -- 10.3.1 Sensor-Based Technology -- 10.3.2 Acoustic Emission Technology -- 10.3.3 Several Sensor Information Fusion Techniques -- 10.4 Online Vision Inspection -- 10.4.1 Inspection Sensors -- 10.4.2 Vision Inspection Contents -- 10.4.3 Camera Calibration Techniques -- 10.5 3 Dimensional Image Processing of Weld Pool Geometry Using Dot Matrix -- 10.5.1 Image Processing -- 10.6 Real-Time Three-Dimensional Measurement of Topside and Backside Width of Weldment -- 10.7 Dynamic Estimation of Weld Pool Geometry -- 10.8 Visual Sensing Based on Supervised Machine Learning Technique -- 10.9 Hybrid Network Model Using Convolutional Neural Network and Long Short-Term Memory -- 10.10 Conclusion -- References -- Chapter 11 Simulation of Sulfur Recovery Unit Using Aspen Plus -- 11.1 Introduction -- 11.2 Process Description -- 11.3 Methodologies -- 11.3.1 Description of Simulation Flow Sheet -- 11.3.2 Validation of Simulation Model -- 11.4 Results and Discussion -- 11.4.1 Effect of Acid Gas/Air Molar Flow Ratio on Sulfur Recovery and Tail Gas Ratio -- 11.4.2 Effect of H2S Concentration in Acid Gas Stream on Sulfur Recovery and Tail Gas Ratio -- 11.5 Conclusion -- Acknowledgments. References -- Chapter 12 Fabrication of Magnesium Metal Matrix Nanocomposites Using Ultrasonic-Assisted Stir-Casting Method -- 12.1 Introduction -- 12.1.1 Ultrasound Equipment -- 12.1.2 Ultrasonication-Assisted Stir-Casting Technique (UASCT) -- 12.1.3 Nanocomposites Processing -- 12.2 Effect of Ultrasound on Magnesium Alloys -- 12.2.1 AlN Reinforcement -- 12.2.2 Al2O3 Reinforcement -- 12.2.3 SiC Reinforcement -- 12.2.4 TiB2 Reinforcement -- 12.3 Conclusion -- References -- Chapter 13 Friction Stir Welding of Dissimilar Magnesium Alloys: Analytical Modeling, Simulation, and Experimental Validation -- 13.1 Introduction -- 13.2 Analytical Modeling -- 13.3 Heat Input Modeling -- 13.3.1 Calculation of Heat Generation -- 13.3.2 Heat Flux Modeling -- 13.4 Experimental Detail -- 13.4.1 Tool Preparation -- 13.4.2 Work Material -- 13.5 Experimental Setup -- 13.5.1 Tensile Test -- 13.5.2 Microhardness Test -- 13.6 Experimental Results -- 13.6.1 Weldments -- 13.6.2 Tensile Test Results -- 13.6.3 Hardness Test Results -- 13.7 Conclusion -- References -- Chapter 14 Advancements in Welding Techniques: Surface and Mechanical Property Insights -- 14.1 Introduction -- 14.1.1 Arc Welding Processes -- 14.1.2 Tungsten Inert Gas Welding -- 14.1.3 Metal Inert Gas Welding -- 14.1.4 Submerged Arc Welding -- 14.1.5 Flux-Cored Arc Welding -- 14.2 Resistance Welding -- 14.2.1 Spot Welding Processes -- 14.2.2 Projection Welding -- 14.2.3 Seam Welding -- 14.2.4 Butt Welding -- 14.3 Hybrid Welding -- 14.4 Rotary Friction Welding -- 14.5 Friction Stir Welding -- 14.6 Properties of Friction Welding -- 14.7 Future Research Opportunities and Conclusions -- References -- Chapter 15 Advanced 3D Printing for Industrial Components: Welded Joint Analysis and Strength Assessment -- 15.1 Introduction -- 15.2 Material Used for SLM Technology -- 15.3 SLM Technology 3D Component. 15.4 TIG Welding Method for Joining -- 15.5 ABS and PLA 3D Component Material -- 15.5.1 Fused Deposition Modeling -- 15.6 Welding Method Used for ABS and PLA -- 15.6.1 Solvent Welding -- 15.6.2 Mechanical Fastening -- 15.6.3 Adhesive Bonding -- 15.7 Characterisation Techniques -- 15.7.1 Examining the Base Material's Porosity -- 15.7.2 Analysis of Mechanical Properties -- 15.8 Challenges Faced in the Development Process -- 15.8.1 Due to the Solvent Welding -- 15.8.2 Due to Mechanical Fastening -- 15.8.3 Due to Adhesive Bonding -- 15.8.4 Method to Avoid Issue -- 15.9 Conclusion -- References -- Chapter 16 Advancements in Electrochemical Surface Coatings: Innovations, Applications, and Future Prospects -- 16.1 Introduction -- 16.2 Fundamentals of Electrochemical Process -- 16.2.1 Electrode Kinetics -- 16.2.2 Faraday's Laws of Electrolysis -- 16.3 Types of Electrochemical Surface Coatings -- 16.3.1 Electrodeposition -- 16.3.2 Anodization -- 16.3.3 Electrophoretic Deposition -- 16.3.4 Electroless Plating -- 16.4 Overview of Surface Preparation Methods -- 16.4.1 Cleaning -- 16.4.2 Degreasing -- 16.4.3 Surface Activation -- 16.4.4 Surface Roughening -- 16.5 Characterization of Electrochemically Coated Surface -- 16.6 Applications of Electrochemical Surface Coating in Various Fields -- 16.6.1 Automotive -- 16.6.2 Aerospace -- 16.6.3 Biomedical Application -- 16.6.4 Application in Dental Implants -- 16.6.5 Microelectronics -- 16.7 Challenges and Limitations of Electrochemical Surface Coating Methods -- 16.8 Conclusions -- 16.9 Future Trends -- References -- Chapter 17 Process Variable Impact Analysis in Unconventional Machining: Enhancing MRR, Accuracy, and Surface Quality -- 17.1 Introduction -- 17.2 Nontraditional Machining Processes -- 17.2.1 Electro-Discharge Machining -- 17.2.2 Parameters Affecting the MRR in EDM. 17.2.3 Parameters Affecting the Surface Quality and Accuracy in EDM. |
| Record Nr. | UNINA-9910878995203321 |
|
Thanigaivelan R
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recent advances in thermofluids and manufacturing engineering : select proceedings of ICTMS 2022 / / edited by Shripad Revankar, Kamalakanta Muduli, Debjyoti Sahu
| Recent advances in thermofluids and manufacturing engineering : select proceedings of ICTMS 2022 / / edited by Shripad Revankar, Kamalakanta Muduli, Debjyoti Sahu |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (559 pages) |
| Disciplina | 910.5 |
| Collana | Lecture Notes in Mechanical Engineering |
| Soggetto topico | Fluid mechanics |
| ISBN | 981-19-4388-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Fluid Dynamics -- Numerical Analysis of Gas Entrainment in the Viscous Liquid Pool Developed by a Counter-Rotating Pair of Fully Submerged Rollers -- 1 Introduction -- 2 Numerical Methodology -- 2.1 Computational Domain -- 2.2 Formulation of Problem -- 3 Validation -- 4 Results and Discussion -- 5 Conclusions -- 6 Application -- References -- MHD Flow Measurements of Automatic Control Valve of Gas Turbine Engine Subject to Inclined Magnetic Field -- 1 Introduction -- 2 Numerical Modelling -- 3 Graphical Representation -- 4 Results and Discussion -- 5 Conclusions -- References -- Study of Laminar Flow Stagnation Problem for a Viscous Fluid with Transverse Magnetic Effect in Axial and Radial Directions -- 1 Introduction -- 2 Mathematical Formulation -- 3 Results and Discussion -- 4 Conclusion -- References -- Analysis of Dufour and Soret Effect on Unsteady MHD Prandtl Fluid Flow Past an Expanding/Shrinking Surface -- 1 Introduction -- 2 Problem Formulation -- 2.1 Numerical Treatment -- 3 Result and Discussion -- 4 Conclusion -- References -- A Numerical Method to Analyze the Steady Conjugate Heat Transfer Around a Slab Suspended in Air -- 1 Introduction -- 2 Problem Description -- 3 Numerical Methodology -- 4 Results and Discussion -- 4.1 Pattern of Thermal Plume -- 4.2 Effect of Aspect Ratios and Thermal Conductivity on Nusselt Number -- 4.3 Effect of Aspect Ratios and Thermal Conductivity on Qcon -- 5 Conclusion -- References -- Low Reynolds Number Flow Past Array of Staggered Cylinders -- 1 Introduction -- 2 Governing Equations and Computational Domain -- 3 Grid Independence Study and Code Validation -- 4 Results and Discussion -- 5 Conclusion -- References -- Optimization in Fluid Mixing in Microchannels: A Review -- 1 Introduction -- 1.1 Fluid Mixing -- 1.2 Mixing Factors.
2 Microfluidic Devices -- 2.1 Active Micro-Mixer -- 2.2 Passive Micro-Mixer -- 3 Optimization in Fluid Mixing -- 3.1 Shape Optimization -- 3.2 Flow-Based Optimization -- 3.3 Topology Optimization -- 4 Conclusion -- References -- A Simple Solution of Third Grade Fluid Flow Problem: Cascade-Forward Type ANN Approach -- 1 Introduction -- 2 Formulation -- 2.1 Boundary Conditions -- 2.2 Solution Involving LSM -- 3 Results and Discussions -- 3.1 CFANN Deployment -- 3.2 Performance Curves -- 4 Conclusions -- References -- Computational Fluid Dynamics -- Formation and Development of Cusp-Induced Air Entrainment Caused by Fully Submerged Rotary Solid Roller: A Numerical Investigation -- 1 Introduction -- 2 Numerical Methodology -- 2.1 Model Description -- 2.2 Formulation of Problem -- 3 Validation -- 4 Results and Discussion -- 5 Conclusions -- References -- A Study on Stability Condition for an Inconsistent Formulation in High-Density Ratio Flow -- 1 Introduction -- 2 Numerical Methodology -- 3 Results and Discussion -- 3.1 Water Rising in a Tank -- 3.2 Translating Droplet -- 3.3 Stability Analysis for an Inconsistent Formulation -- 4 Conclusions -- References -- Computational Modelling for Cyclone Separators Performance Evaluation -- 1 Introduction -- 2 Physical Geometry and Computational Modelling -- 3 Results and Discussion -- 4 Conclusion -- References -- Computational Modeling of a Gas-Fired Walking Beam Reheat Furnace for Billet Heating and Scale Formation Prediction -- 1 Introduction -- 2 Physical Model and Computational Modeling -- 3 Result and Discussion -- 4 Conclusion -- References -- Aerodynamics -- Computational Study of Combustion Process in a Gas Turbine Engine -- 1 Introduction -- 1.1 Configuration of Combustion Chamber -- 1.2 Computational Model -- 1.3 Numerical Solution Procedure -- 1.4 Boundary Conditions -- 1.5 Grid Sensitivity Analysis. 2 Results and Discussion -- 3 Flow Field Analysis -- 3.1 Temperature Field Analysis -- 3.2 Flame Stability -- 3.3 Effect of Particle Size of Fuel on Combustion -- 3.4 Effect of Spray Cone Angle on Combustion -- 4 Conclusion -- References -- Effect of Diffuser, Rake, and Slant Angles on the Aerodynamics of a Simple Ahmed Body -- 1 Introduction -- 2 Methodology -- 2.1 Design and Meshing -- 3 Results and Analysis -- 3.1 Effect of Diffuser Angle Variation -- 3.2 Effect of Rake Angle Variation -- 3.3 Effect of Slant Angle Variation -- 4 Conclusions -- References -- Aerodynamic Cooling of Electronic Pin Fins -- 1 Introduction -- 2 Computational Method -- 2.1 Governing Equations -- 2.2 Problem Definition -- 3 Results and Discussion -- 4 Conclusions -- References -- Design Analysis of a Blended Wing Body -- 1 Introduction -- 2 Design Methodology of BWB -- 2.1 Final Mixed Wing Body Geometry Design -- 2.2 Design Geometry of Centre Body of BWB -- 2.3 Outer Wing -- 2.4 Numerical Modelling -- 3 Results and Discussion -- 4 Conclusion -- References -- Development of Rayleigh Taylor Instability at Various Atwood Numbers-A Review -- 1 Introduction -- 1.1 Evolution of Rayleigh Taylor Instability -- 2 Numerical Investigations on Rayleigh Taylor Instability -- 3 Experimental Investigations on Rayleigh Taylor Instability -- 3.1 Investigations at Mach Numbers -- 4 Conclusion -- References -- Unstart Phenomenon in a Scramjet Engine Isolator -- 1 Introduction -- 2 Computational Methodology -- 3 Results and Discussions -- 4 Conclusions -- References -- Heat Transfer -- Efficacy of Pulsating Heat Pipe for Laptop Cooling Applications: An Experimental Investigation -- 1 Introduction -- 2 Experimental Setup and Testing -- 3 Results and Discussions -- 4 Conclusions -- References. Influence of Surface Unevenness on Enhancement of Heat Transfer During Saturated Pool Boiling of Acetone -- 1 Introduction -- 2 Experimentation -- 3 Results and Discussions -- 4 Conclusion -- References -- Flow Characteristics of Electromagnetohydrodynamics of a Third-Grade Fluid Through Large Parallel Plates with Moving Upper Plate -- 1 Introduction -- 2 Problem Formulation -- 3 Governing Equations -- 3.1 Boundary Conditions -- 3.2 Non-dimensionalisation -- 4 Solution -- 5 Results and Discussions -- 6 Conclusion -- References -- Scaled Conjugate Gradient Algorithm Trained ANN for Parameter Retrieval in Combined Heat Transfer in Porous Ceramic Matrix -- 1 Introduction -- 2 Problem Formulation -- 3 Results and Discussion -- 4 Conclusions -- References -- Design Optimization for Heat Transfer Through a Circular Pipe -- 1 Introduction -- 2 Computational Model -- 3 Results -- 4 Conclusion -- References -- Improvement of Heat Transfer by Natural Convection in a Three-Dimensional Square Cavity with a Heated Floor -- 1 Introduction -- 2 Structural System and Numerical Estimation -- 2.1 Configuration Problem -- 2.2 Numerical Method -- 2.3 Boundary Conditions -- 3 Numerical Results and Discussion -- 3.1 Validation of Numerical Code -- 3.2 Results and Discussion -- 4 Conclusions -- References -- Retrieval of Parameter in Combined Mode Conduction-Radiation Problem in Porous Ceramic Matrix by Artificial Neural Network -- 1 Introduction -- 2 Formulation -- 3 Results and Discussion -- 4 Conclusions -- References -- Combustion Analysis -- Effect of Compression Ratio on Performance, Combustion and Emission Characteristics of a Diesel Engine Fueled with Rubber Seed Biodiesel-Diesel Blends -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Performance Analysis -- 3.2 Combustion Analysis -- 3.3 Emission Analysis -- 4 Conclusions. References -- Experimental Analysis on Combustion Characteristics of a DICI Engine Utilizing Argemone Biodiesel with Diesel Blend -- 1 Introduction -- 2 Experimental Methodology -- 2.1 Biodiesel Preparation -- 2.2 Performance Test -- 3 Results and Discussions -- 3.1 Maximum In-Cylinder Pressure -- 3.2 Mass Fraction Burned -- 3.3 Net Heat Release Rate (NHRR) -- 3.4 Ignition Delay -- 3.5 Rate of Pressure Rise (ROPR) -- 4 Conclusions -- References -- Pyrolysis Characterization of Biomass Feedstock Using Thermogravimetric Analysis -- 1 Introduction -- 2 Material and Methods -- 2.1 Thermogravimetric Analysis (TGA) -- 2.2 Kinetic Study of Biomass -- 2.3 Flynn-Wall-Ozawa (FWO) Method -- 3 Results and Discussion -- 3.1 Volatile Content -- 3.2 Effect of Pyrolysis -- 3.3 Thermal Stability -- 4 Conclusions -- References -- The Effect of Varying Compression Ratio's Upon Combustion and Performance Parameters of a TDI Diesel Engine -- 1 Introduction -- 2 Materials and Methods -- 2.1 Experimental Setup and Experimentation -- 2.2 Uncertainty Analysis -- 3 Results and Discussion -- 3.1 Brake Thermal Efficiency -- 3.2 Brake-Specific Fuel Consumption -- 3.3 Exhaust Gas Temperature -- 3.4 Cylinder Pressure (CP) -- 3.5 Peak Cylinder Pressure -- 3.6 Ignition Delay Period (IDP) -- 3.7 Net Heat Release Rate (NHRR) -- 4 Conclusion -- References -- Energy Technology -- Performance of Solar Collector Coupled with Three Fluid Heat Exchanger and Heat Storage System for Simultaneous Water and Space Heating -- 1 Introduction -- 2 Mathematical Modelling -- 2.1 Flat Plate Solar Collector (FPSC) -- 2.2 Three Fluid Heat Exchanger (TFHE) -- 2.3 Sensible Thermal Storage System (STSS) -- 3 Results and Discussion -- 4 Conclusions -- References -- Effect of Water Flow Rate and Temperature on Humidification and Cooling of Air in Air Washer -- 1 Introduction -- 2 Experimental Setup. 3 Results and Discussions. |
| Record Nr. | UNINA-9910627261303321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||