Rakesh Sehgal - Böcker

Conjugated Polymers for Next-Generation Applications, Volume One: Synthesis, Properties and Optoelectrochemical Devices describes the synthesis and characterization of varied conjugated polymeric materials and their key applications, including active electrode materials for electrochemical capacitors and lithium-ion batteries, along with new ideas of functional materials for next-generation high-energy batteries, a discussion of common design procedures, and the pros and cons of conjugated polymers for certain applications. The book's emphasis lies in the underlying electronic properties of conjugated polymers, their characterization and analysis, and the evaluation of their effectiveness for utilization in energy and electronics applications.

This book is ideal for researchers and practitioners in the area of materials science, chemistry and chemical engineering.

Provides an overview of the synthesis and functionalization of conjugated polymers and their composites Reviews important photovoltaics applications of conjugated polymeric materials, including their use in energy storage, batteries and optoelectronic devices Discusses conjugated polymers and their application in electronics for sensing, bioelectronics, memory, and more

Conjugated Polymers for Next-Generation Applications, Volume Two: Energy Storage Devices describes the synthesis and characterization of varied conjugated polymeric materials and their key applications, including active electrode materials for electrochemical capacitors and lithium-ion batteries, along with new ideas of functional materials for next-generation high-energy batteries, a discussion of common design procedures, and the pros and cons of conjugated polymers for certain applications. The book's emphasis lies in the underlying electronic properties of conjugated polymers, their characterization and analysis, and the evaluation of their effectiveness for utilization in energy and electronics applications.

This book is ideal for researchers and practitioners in the area of materials science, chemistry and chemical engineering.

Provides an overview of the synthesis and functionalization of conjugated polymers and their composites Reviews important photovoltaics applications of conjugated polymeric materials, including their use in energy storage, batteries and optoelectronic devices Discusses conjugated polymers and their application in electronics for sensing, bioelectronics, memory, and more

Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems.

The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples.

Includes significant case studies related to application of Artificial Intelligence and Machine Learning in Energy and Power, Mechanical Design and Manufacturing Contains supporting illustrations and tables, along with a valuable set of references at the end of each chapter Provides original, state-of-the-art research material written by international and national respected contributors

High Temperature Tribology of Ceramics and Ceramic Matrix Composites synthesizes the latest cutting-edge research on various applications of ceramics and ceramic matrix composites in high temperature settings. The book covers the fundamentals of high-temperature tribology, the mechanical behavior of these materials in high temperature settings, and their various tribochemical reactions. Methods for improving friction, wear, and lubrication properties of these materials in high temperature settings are covered at length, as are the fabrication methods of ceramics, CMCs and hard ceramic coatings.Additionally, the book includes insights on the various wear modes of ceramics and CMCs such as adhesion wear, abrasion wear, delamination wear, erosion wear, as well as the formation of oxides and other components at elevated temperatures and their influences on friction and wear performance. Outlines the latest tribological developments, applications and mechanical behaviors of ceramics, ceramic matrix composites, and ceramic coatings in high temperature settings Details fabrication methods of ceramics and ceramic matrix composites as well as deposition methods of hard ceramic coatings Discusses various sintering processes of ceramics and ceramic matrix composites Demonstrates techniques for improving friction, wear and lubrication properties of ceramics, ceramic matrix composites, and ceramic coatings used in high temperature settings Provides guidance on the selection and design of ceramic components for high temperature tribological applications

This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:an exclusive section on essential preprocessing approaches for the data-driven modela detailed overview of data-driven model applications to power system planning and operational activitiesspecific focus on developing forecasting models for renewable generations such as solar PV and wind power, andshowcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworksThis book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

This book provides an overview of the use of various waste materials in pavement construction and their potential impact on sustainable infrastructure development. It explores the use of waste materials as alternatives to traditional pavement materials like asphalt and concrete. It discusses the properties and performance of various waste materials and their applications in pavement construction, highlighting the economic and environmental benefits such as reduced greenhouse gas emissions, lower construction costs, and enhanced durability and longevity of pavements.Features:Explores the use of waste materials such as recycled plastics, rubber, glass, and other industrial by-products as alternatives to traditional pavement materials.Provides detailed guidance on the selection, design, and implementation of waste materials.Focuses on the practical application of waste materials in pavement construction.Reviews bio-oils and focuses on plastics from different sources.Includes case studies on waste materials used in pavement structure.This book is aimed at researchers and graduate students in pavement and civil engineering.

This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:an exclusive section on essential preprocessing approaches for the data-driven modela detailed overview of data-driven model applications to power system planning and operational activitiesspecific focus on developing forecasting models for renewable generations such as solar PV and wind power, andshowcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworksThis book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

This book explores upconversion nanoparticles (UCNPs) at both, the fundamental as well as applied levels, for functional applications.