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1. |
Record Nr. |
UNINA9911019694803321 |
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Autore |
Weldon Dwight G |
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Titolo |
Failure analysis of paints and coatings / / Dwight G. Weldon |
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Pubbl/distr/stampa |
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Chichester, West Sussex ; ; Hoboken, N.J., : Wiley, 2009 |
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ISBN |
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9786612123559 |
9781282123557 |
1282123556 |
9780470744673 |
0470744677 |
9781615832675 |
161583267X |
9780470744666 |
0470744669 |
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Edizione |
[Rev. ed.] |
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Descrizione fisica |
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1 online resource (382 p.) |
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Classificazione |
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Disciplina |
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Soggetti |
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Paint - Testing |
Coatings - Testing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Failure Analysis of Paints and Coatings, Revised Edition; Contents; Preface to the Revised Edition; Preface to the First Edition; Acknowledgements; 1: General Principles of Coating Formulation; 1.1 INTRODUCTION; 1.2 BINDERS; 1.3 PIGMENTS; 1.4 SOLVENTS; 1.5 ADDITIVES; 1.6 FORMULATION CONCEPTS: PIGMENT-TO-BINDER RATIO; 1.7 FORMULATION CONCEPTS: PIGMENT-VOLUME CONCENTRATION; 1.8 FORMULATION CONCEPTS: DENSITY, WEIGHT SOLIDS AND VOLUME SOLIDS; REFERENCES; 2: Why Coatings Work and Why They Fail; 2.1 WHY COATINGS WORK; 2.1.1 Adhesion; 2.1.2 Wetting; 2.1.3 Surface Preparation; 2.1.4 Cohesive Strength |
2.1.5 Permeability2.2 WHY COATINGS FAIL; 2.2.1 Mechanical Stress; 2.2.2 Internal Stress; 2.2.3 Chemical Attack; 2.2.4 Weathering Stress; 2.2.5 Osmotic Blistering; 2.2.6 Electroendosmotic Blistering; REFERENCES; 3: Pigments; 3.1 INORGANIC PIGMENTS; 3.1.1 Inorganic |
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Colour Pigments - White; 3.1.2 Inorganic Colour Pigments - Yellow; 3.1.3 Inorganic Colour Pigments - Orange; 3.1.4 Inorganic Colour Pigments - Red; 3.1.5 Inorganic Colour Pigments - Blue; 3.1.6 Inorganic Colour Pigments - Green; 3.2 EXTENDER PIGMENTS; 3.2.l Silica/Silicates; 3.2.2 Calcium Carbonate; 3.2.3 Barytes |
3.3 CORROSION-RESISTANT PIGMENTS3.4 ORGANIC PIGMENTS; 3.4.1 Organic Red Pigments; 3.4.2 Organic Yellow Pigments; 3.4.3 Organic Blue Pigments; 3.4.4 Organic Green Pigments; REFERENCES; 4: Additives and Solvents; 4.1 ADDITIVES; 4.1.1 Anti-settling Agents; 4.1.2 Viscosity Modifiers; 4.1.3 Surfactants and Emulsifying Agents; 4.1.4 De-foaming and Anti-foaming Agents; 4.1.5 Driers; 4.1.6 Plasticizers; 4.1.7 Ultraviolet Stabilizers; 4.1.8 Anti-skinning Agents; 4.1.9 Biocides; 4.1.10 Flow-Modifying Agents; 4.2 SOLVENTS; REFERENCES; 5: Coating Types and Common Failure Modes |
5.1 NATURAL RESINS AND OILS5.1.1 Natural Resins; 5.1.2 Oils; 5.2 ALKYDS AND EPOXY ESTERS; 5.2.1 Alkyds; 5.2.2 Epoxy Esters; 5.3 EPOXIES; 5.3.1 Amine and Amide Curing Agents for Epoxy Resins; 5.3.2 Epoxy Failure Modes; 5.4 MODIFIED EPOXIES; 5.4.1 Acrylic Epoxies; 5.4.2 Coal Tar Epoxies; 5.4.3 Epoxy Phenolics; 5.5 PHENOLICS; 5.5.1 Resole Phenolics; 5.5.2 Novolac Phenolics; 5.5.3 Phenolic Failure Modes; 5.6 AMINO RESINS; 5.7 ACRYLICS; 5.7.1 Solution Acrylics; 5.7.2 Acrylic Latex Coatings; 5.7.3 Thermoset Acrylics; 5.8 POLYESTERS; 5.8.1 Saturated Polyesters; 5.8.2 Unsaturated Polyesters |
5.9 POLYURETHANES5.9.1 Two-Component Polyisocyanate/Polyol Coatings; 5.9.2 Urealkyds; 5.9.3 Moisture-Cured Polyurethanes; 5.9.4 Polyurethane Lacquers and Dispersions; 5.9.5 Two-Component Water-Borne Polyurethanes; 5.10 VINYLS; 5.10.1 Solution Vinyls; 5.10.2 Plastisols and Organosols; 5.10.3 Vinyl Fluorides; 5.10.4 Poly(vinyl butyral); 5.10.5 Vinyl Latexes; 5.11 BITUMINOUS COATINGS; 5.12 INORGANIC AND SILICONE-MODIFIED COATINGS; 5.12.1 Silicone Coatings; 5.12.2 Silicate Coatings; 5.12.3 Polysiloxane Coatings; 5.13 POLYUREAS; 5.13.1 Polyaspartic Polyurea Coatings; 5.14 POWDER COATINGS |
REFERENCES |
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Sommario/riassunto |
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Entirely devoted to the failure analysis of coatings and paints - an "excellent reference to a select market".Latest edition contains new material on surface preparation, transfer of salt to steel from contaminated abrasive, effect of peak density on coating performance, on galvanizing, silane-modified coatings, polyurea coatings, polyaspartics, and powder coatings and on dry spray.Balances scientific background and practical advice, giving both the theory and applications in a slim, easily readable form.Includes case studies of laboratory tests.Written by |
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2. |
Record Nr. |
UNINA9911019974703321 |
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Autore |
Swathika O. V. Gnana |
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Titolo |
Smart Grids As Cyber Physical Systems, 2 Volume Set |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2024 |
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©2024 |
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ISBN |
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9781394261710 |
1394261713 |
9781394261727 |
1394261721 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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Altri autori (Persone) |
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KarthikeyanK |
SanjeevikumarP |
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Disciplina |
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Soggetti |
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Smart power grids |
Artificial intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Volume 1 -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Grid Independent Dynamic Charging of EV Batteries Using Solar Energy -- 1.1 Introduction -- 1.2 Proposed Methodology -- 1.3 Design of Boost Converter -- 1.4 Perturb and Observe Algorithm for Tracking Maximum Power -- 1.5 Charge Controller -- 1.6 Conclusion -- References -- Chapter 2 RS-11-I Design and Control of Solar-Battery-Based Microgrid System -- 2.1 Introduction -- 2.2 Solar Battery System Modelling -- 2.2.1 Reduced Switch 11-Level Inverter (RS-11-I) -- 2.3 Reduced PLL-Based Control Modelling -- 2.3.1 DC-Link Voltage Regulation -- 2.3.2 RS-11-I Control Application -- 2.4 Result Analysis -- 2.5 Conclusion -- Acknowledgment -- Funding Statement -- References -- Chapter 3 A Novel Concept of Hybrid Storage Integrated Smart Grid System with Integrated SoC Management Scheme -- 3.1 Introduction -- 3.2 Proposed Droop SoC- and State of Power (SOP)-Based Management Method -- 3.2.1 Basic Operation Mode of DESS -- 3.2.2 ESUS Model -- 3.2.3 Basic Model of SoC Management Control System -- 3.2.4 Proposed SoC Management Scheme and the Undertaken System -- 3.3 |
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Result Analysis -- 3.3.1 Charging Case -- 3.3.2 Discharging Case -- 3.4 Conclusion -- References -- Chapter 4 Parameters Sensitivity of Solar Photovoltaic Array Architectures under Incremental Row and Column Shading -- 4.1 Introduction -- 4.2 System Modelling and Description -- 4.3 Electrical Parameters Estimation -- 4.4 Sensitivity Analysis of Electrical Parameters of PV Array Under Incremental Partial Shading -- 4.4.1 Analysis under Incremental Row Shading Scenario -- 4.4.2 Analysis under Incremental Column Shading Scenario -- 4.5 Conclusion -- References -- Chapter 5 Controlled Smart Robotic Arm for Optimized Movement in Pharma Application -- 5.1 Introduction -- 5.2 Description of the Prototype. |
5.3 Segments of the Prototype -- 5.3.1 Designing the Circuit of the Prototype -- 5.3.2 Designing the Mobile App for User Interface -- 5.4 Design Specifications -- 5.5 Simulation Analysis -- 5.6 Hardware Analysis -- 5.7 Conclusion -- References -- Chapter 6 An Exploration of Internet of Everything in Smart Universe -- 6.1 Introduction -- 6.2 Related Work -- 6.2.1 Smart Infrastructure -- 6.2.2 Smart Building -- 6.2.3 Smart Healthcare -- 6.2.4 IoE in Healthcare Networks -- 6.2.5 IoE Healthcare Services -- 6.2.6 IoE Healthcare Security -- 6.2.7 IoE in Smart Countries -- 6.2.8 Smart Agriculture -- 6.2.9 Smart Grid -- 6.2.10 Industrial IoT -- 6.2.11 IoT in Education -- 6.2.12 Use Cases -- 6.2.12.1 Smart Classrooms -- 6.2.12.2 Smart Books -- 6.2.12.3 Augmented and Virtual Reality in Education -- 6.2.12.4 Smart Campus -- 6.2.12.5 Assisted Learning for the Disabled -- 6.2.12.6 Distance Learning -- 6.2.12.7 Advantages of IoT in Education -- 6.2.12.8 Disadvantages of IoT in Education -- 6.2.13 IoT in Waste Management -- 6.2.14 Route Optimization -- 6.2.15 No Deliveries were Missed -- 6.2.16 Recycling in an Effective and Efficient Way -- 6.2.17 IoT Management Systems that are Automated -- 6.2.18 Analyzing Data Quickly -- 6.2.19 IoT in Water Management -- 6.2.20 Use Cases -- 6.2.20.1 Water Management in Group Residential Areas -- 6.2.20.2 Water Management in Campuses -- 6.2.20.3 Water Management in Industries -- 6.2.20.4 Water Management in Irrigation -- 6.2.20.5 Water Management for Underground Water Source -- 6.2.20.6 Advantages of IoT in Water Management -- 6.2.20.7 Disadvantages of IoT in Water Management -- 6.2.21 IoT in the Food Industry -- 6.2.21.1 Accessibility to Customers -- 6.2.21.2 Quality Food Assurance -- 6.2.21.3 Improving Food Safety -- 6.2.22 Transparent Supply Chain Management -- 6.2.22.1 Recall of Goods -- 6.2.22.2 Energy Conservation. |
6.2.22.3 Effective Inventory Control -- 6.2.22.4 Forged Product Identification -- 6.2.22.5 Logistics that are More Efficient -- 6.2.22.6 Operational Efficiency -- 6.2.23 IoT in the Banking Sector -- 6.2.24 Use Cases -- 6.2.24.1 Debt Collection -- 6.2.24.2 Heist Prevention -- 6.2.24.3 Fraud Detection -- 6.2.24.4 Emergence of FinTech -- 6.2.24.5 Employee Training -- 6.2.24.6 Advantages of IoT in Banking -- 6.2.24.7 Disadvantages of IoT in Banking -- 6.2.25 IoT in Government Sectors -- 6.2.26 Use Cases -- 6.2.26.1 Public Healthcare -- 6.2.26.2 Public Transportation -- 6.2.26.3 Disaster Management -- 6.2.26.4 Public Safety -- 6.2.26.5 Advantages of IoT in Government Sectors -- 6.2.26.6 Disadvantages of IoT in Government Sectors -- 6.2.27 IoT in Underwater Vehicle -- 6.2.28 IoT in Criminology and Emergency Management -- 6.2.28.1 Cyber Crime Attacks -- 6.2.28.2 Crime Harvests and the IoT -- 6.2.28.3 Digital Device Forensics -- 6.2.28.4 The Need for IoT Forensics -- 6.2.28.5 Evidence Identification, Collection,and Preservation -- 6.2.28.6 Evidence Analysis and Correlation -- 6.2.28.7 Opportunities of IoT Forensics -- 6.3 Conclusion -- References -- Chapter 7 An Intelligent Smart Grid |
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Switching System for an Efficient Load Balancing Through Machine Learning Models -- 7.1 Introduction -- 7.2 Backbone of Work -- 7.3 Theory Behind Smart Grids and Integration in the Field -- 7.4 Phases of Data Through the Smart Grids -- 7.4.1 Data Cleaning -- 7.4.2 Data Transformation -- 7.4.3 Data Reduction -- 7.5 Flowchart of the Proposed Smart Grid System -- 7.6 Work Done -- 7.7 Working with Dataset-Dataset Description -- 7.8 Tools Used for Implementing the Proposed Algorithm -- 7.9 Results -- 7.10 Inference of the Solution -- 7.11 Conclusion and Future Work -- References -- Chapter 8 Hybrid Energy Storage System for Battery-Powered Electric Vehicles -- 8.1 Introduction. |
8.2 Need of Electric Vehicle -- 8.2.1 Overview of Single Phase Induction Motor -- 8.2.2 Objectives -- 8.3 Methodology -- 8.4 Simulation Results and Discussion -- 8.5 Conclusion -- References -- Chapter 9 FPGA-Based Smart Building Access Control -- 9.1 Introduction -- 9.2 Methodology -- 9.3 FSM Sequence Detector -- 9.4 UART Transmitter -- 9.5 Results -- 9.6 Conclusion -- References -- Chapter 10 Artificial Hyperintelligence-Enabled Cyber-Physical System Control for Autonomous Vehicles -- 10.1 Introduction -- 10.2 Analytical Framework -- 10.2.1 Literature Review -- 10.3 Layer Architecture of Cyber-Physical Intelligent Systems (CPIS) -- 10.3.1 Layer Approach of Autonomous Vehicle Control -- 10.3.2 End-to-End Security Parameters -- 10.4 Cyber-Physical Autonomous Vehicle vs. Machine Learning Systems -- 10.4.1 New Entry Authentication Procedure -- 10.4.2 Autonomous Vehicles Basic Requirements -- 10.4.3 Global Positioning System (GPS) -- 10.4.4 Short-Range Communication Transceiver -- 10.4.5 Cameras -- 10.4.6 Ultrasonic Sensor -- 10.4.7 Light Detection and Ranging (LIDAR) -- 10.4.8 Radar Sensor -- 10.4.9 Server Controller -- 10.4.10 Protocol Specification -- 10.4.11 Imperial Cohort Reply Procedure for Optimal Channel Selection -- 10.5 Results and Discussion -- 10.5.1 Handover Rate of Failure vs. Vehicles Count -- 10.5.2 Packet Delivery Rate (PDR) vs. Vehicle Count -- 10.6 Conclusion -- References -- Chapter 11 FPGA-Based Smart Delivery Bot -- 11.1 Introduction -- 11.2 Methodology -- 11.3 Test Graph -- 11.4 Results and Discussion -- References -- Chapter 12 Cabin Cooling System for Heavy Commercial Load Vehicle -- 12.1 Introduction -- 12.2 Literature Survey -- 12.2.1 Beginning With the Principal Warmer or A/C -- 12.2.2 Additional Protection -- 12.2.3 Utilizing Genuine Profound Cycle Batteries -- 12.2.4 Roof-Mounted Air-Conditioning System RTX 1000. |
12.2.5 Roof-Mounted Air-Conditioning System RTX 2000 -- 12.2.6 Cooltronic G2.5 Auxiliary Air-Conditioning System -- 12.3 Working Principle of Peltier Cooler -- 12.3.1 Elements of Peltier Cooler -- 12.3.2 Heat Absorption -- 12.3.3 Thermal Insulation -- 12.4 Proposed Idea -- 12.5 Design Specifications -- 12.6 Prototyping -- 12.7 Advantages of Proposed Idea -- 12.8 Conclusion -- References -- Chapter 13 Renewable Energy and Its Dynamic Value -- 13.1 Introduction -- 13.2 Is a Wetter Grid a Greener Grid? Estimating Emigration Equipoises for Wind and Solar Power in the Presence of Larger Hydroelectric Power -- 13.2.1 Data -- 13.3 Wind, Solar, and Hydropower Trends in CAISO -- 13.3.1 Power Generation Trends -- 13.4 Identification -- 13.5 Electricity Storehouse, Emissions Levies, and Value of Renewable Energy -- 13.5.1 Introduction -- 13.5.2 Literature Review -- 13.5.3 Emissions Functions -- 13.5.4 Wind Power and Storage Parameters -- 13.5.5 Policy Scenarios and Monte Carlo Simulations -- 13.5.6 Welfare and Allocations -- 13.5.7 Emissions Offsets -- 13.5.8 Accounting for Regulating Reserves Costs -- 13.6 Conclusion -- References -- Chapter 14 Energy Resources and Reliability Assessments -- 14.1 Motivation -- 14.1.1 Objections -- |
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14.2 Photovoltaic (PV) Systems -- 14.2.1 Attributes of PV System -- 14.2.2 Grid Level PV Farm Structure -- 14.2.2.1 Output Power of PV Systems -- 14.2.2.2 Attributes of PV System Components -- 14.2.3 Reliability Modelling of Major Photovoltaic System Components' Reliability -- 14.2.3.1 Power Electronic Circuit Components -- 14.2.3.2 Reliability of PV Panels -- 14.3 Reliability Modelling of PV System -- 14.4 Case Studies -- 14.5 Conclusion -- 14.6 Future Works -- References -- Chapter 15 Electric Vehicle Charging Stations Effect on Battery Storage Technology -- 15.1 Introduction -- 15.1.1 Background -- 15.1.2 Problem Statement. |
15.1.3 Research Objectives. |
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Sommario/riassunto |
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This book explores the integration of artificial intelligence and clean energy technologies within next-generation smart grids, emphasizing their role as cyber-physical systems. It provides comprehensive insights into methods for grid-independent charging of electric vehicle batteries using solar energy, the design and control of microgrid systems, and hybrid storage systems. Additionally, the book examines the Internet of Everything's impact on various sectors, including smart healthcare and agriculture, and discusses the intelligent management of smart grid systems through machine learning models. The intended audience includes researchers, engineers, and professionals in the fields of energy, technology, and smart infrastructure. |
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