Parveen Kumar – författare

Advances in Sustainable Materials: Fundamentals, Modelling and Characterization provides a comprehensive review of recent technological developments and research accomplishments in this important field.The chapters cover characterization techniques, modeling of sustainable materials, the role of artificial intelligence, Industry 4.0, nature-inspired algorithms, and optimization possibilities. Various computational and simulation approaches for maintaining the sustainability of materials are also covered in detail. In addition to the above, various case studies are also included on the application of sustainable materials in medical, environmental, production, mechanical, and civil engineering.This collection of state-of-the-art techniques, with an emphasis on using various analytical strategies, and computational and simulation approaches, as well as artificial intelligence will encourage researchers, as well as manufacturers to develop more innovative sustainable materials.

Covers various types of sustainable materials, including polymers, metals, ceramics, composites, biomaterials, biodegradable materials, smart materials, and functionallygraded materialsFocuses on characterization, modeling, and applications of sustainable materialsDescribes the outstanding properties of various classes of materials and their suitability for different types of industrial applications

Emerging Trends in Medical Robotics: Technologies, Innovations and Applications, provides an overview of medical robotics, including fundamentals, a bibliometrics review, and essential elements. Other sections delve into emerging technologies such as the Internet of Medical Robots Things (IoMRT), artificial intelligence-driven medical robots, robotic cyber-physical systems, cybersecurity considerations, and the integration of digital twin technology.This book explore various applications of medical robots in surgery, healthcare management, diagnostics imaging, pharmacy and medication dispensing, hospital logistics, ethical considerations, future prospects, and challenges in the field.Discusses the different types of medical robots utilized in medical and healthcare servicesIncludes clear and illustrative figures, diagrams, and schematics of medical robots and their applicationsAddresses the challenges and limitations faced in medical robotics engineering for different healthcare applicationsPresents analytical, experimental, and computational approaches for medical robots

Micro- and Nano-scale Surface and Interface Engineering: Synthesis, Characterization, and Applications addresses the challenges of micro- and nano-scale surface and interface engineering by providing a comprehensive exploration of surface design, texture, porous structure, surface reaction, degradation, and surface strengthening processes. It offers solutions for understanding interface reactions of materials, particularly in the context of micro-electromechanical systems (MEMS), biomaterials surfaces, self-cleaning structures, and surface modeling and characterization. The content extends to practical applications across diverse sectors, including microelectronics and nanoelectronics, microfluidics and lab-on-a-chip systems, nanomanufacturing, and nanofabrication.The focus lies on the scientific principles underpinning surface and interface engineering at the micro- and nano-scale, incorporating various surface modification techniques utilizing a spectrum of materials, ranging from traditional structural materials to advanced smart materials.Explores a comprehensive array of techniques, from surface and interface modification techniques and interface engineering, to modeling and simulation methods, along with surface characterization techniquesDiscusses numerical, experimental, and computational approaches to micro- and nano-engineering at the surface and interfaceAddresses the challenges and limitations inherent in micro- and nano-engineering at the surface and interface, providing insightful perspectives on overcoming hurdles in this dynamic field

Emerging Trends in Manufacturing Technologies covers various aspects of manufacturing technologies, including methods and strategies such as the Digital Era of Manufacturing Science, eco-mechatronics, and Human-Machine Interaction. Other sections explore advanced tracks like machining, joining, casting, and inspection techniques. Aimed at researchers, academics, students and professionals, the book compiles original research and applications, offering logical and analytical solutions to manufacturing challenges. The book will serve as a comprehensive update on the state-of-the-art in manufacturing, fostering further research and innovation.Advancements in manufacturing significantly shape industrial services and products, influencing societal improvement. The dynamic manufacturing process, involving resources, capital, people, machines, and information, rapidly evolves with technological progress, impacting industries. To meet market demands and enhance global competitiveness, industries focus on integrating resources efficiently. This involves adopting emerging trends and advanced strategies that optimize industrial systems, providing diverse options and improving global green production.Integrates numerical, experimental, and computational methods across various manufacturing processesExplores concepts from mechanical, production, and industrial engineering, providing a holistic view of the manufacturing fieldOffers a detailed guide on modeling and optimizing diverse manufacturing methods, including emerging trends such as Industry 4.0, additive manufacturing, robotics, and moreAddresses key topics like Micro- and Nano-Manufacturing, Cellular Manufacturing, and advancements in machining, joining, forming, powder metallurgy, casting, and moulding science that is backed by theoretical, experimental, and modeling results

Essentials of Global Health offers medical students and doctors an insight into the Global Health world. Ahead of its time when first published, Essentials of Global Health anticipated a shift that has now become mainstream. The first edition was originally authored by medical students and junior doctors. It is now updated by leading experts in the field. With global health embedded in medical school curricula worldwide, this new edition offers a timely, accessible introduction to a field that is as wide-ranging as it is essential.This unique text covers the core concepts of global health- from epidemiology, disease burden, and global surgery to social determinants, health systems, and policy-breaking them into succinct, easy-to-understand chapters. This helps you build a clear framework for analysing health inequities, evaluating interventions, and translating evidence into compassionate care. Each chapter ends with references which elaborate further on the topic, making this title a great first introduction to Global Health.

Intelligent industrial production management techniques enhance industrial services, products, and quality, contributing to societal improvements. This complex system involves resources, capital, people, machines, and information, all of which rapidly evolve with technological advancements. To meet market demands and global competitiveness, production management must integrate global resources and achieve resource efficiency, transitioning from traditional to digital methods. Digital transformation utilises technologies such as artificial intelligence (AI), machine learning (ML), digital twins (DT), the Industrial Internet of Things (IIoT), big data analytics, and augmented/virtual reality (AR/VR). These advancements optimise industrial systems and promote green production, reducing carbon emissions and improving quality of life. Digital Transformation in Industrial Production Management Techniques and Systems: Perspectives from Industry 4.0 and Beyond explores how Industry 4.0 facilitates digital transformation in production management, emphasising human-machine collaboration for resource efficiency and resilience. It is organised into three sections: fundamental strategies, Industry 4.0 trends, and applications in new product development and smart manufacturing, addressing challenges and opportunities in data-driven production management.Comprehensive overview of Industry 4.0 approaches in production management, emphasising intelligent tools and algorithms for sustainable practices across various sectorsExplores fundamental concepts, opportunities, challenges, and frameworks in intelligent industrial production management, supported by experimental and numerical dataFocuses on contemporary methodologies for sustainable and green production models applicable to diverse industries

Sustainable biomaterials are used as substitutions for traditional materials in aerospace, automotive, civil, mechanical, environmental engineering, medical, and other industries. This book presents the current knowledge and recent developments on the characterization and application of sustainable biomaterials with biomanufacturing 4.0 techniques. The book also describes the unique properties of various classes of sustainable biomaterials, making them highly suitable for many industrial applications.Advances in Sustainable Biomaterials: Bioprocessing 4.0, Characterizations, and Applications presents key chapters on smart biopolymer composites production and processing methods and provides a wide range of applications in a variety of fields such as medical, food, agriculture, electronics, manufacturing, and chemical engineering. The book features the most recent and detailed information on advancements in biopolymer biomaterials and emphasizes synthesis, characterization, modeling, manufacturing, and testing strategies.Written to be used as a resource guide on biomaterials and innovations, undergraduate and postgraduate students studying manufacturing and materials science will find this book very useful in addition to those working in mechanical engineering, biomedical engineering, manufacturing of pharmaceuticals, biotechnology, and electronics engineering fields. The book can also be used as additional classroom reading for an advanced course on biomaterials modeling and optimization.

Sustainable biomaterials are used as substitutions for traditional materials in aerospace, automotive, civil, mechanical, environmental engineering, medical, and other industries. This book presents the current knowledge and recent developments on the characterization and application of sustainable biomaterials with biomanufacturing 4.0 techniques. The book also describes the unique properties of various classes of sustainable biomaterials, making them highly suitable for many industrial applications.Advances in Sustainable Biomaterials: Bioprocessing 4.0, Characterizations, and Applications presents key chapters on smart biopolymer composites production and processing methods and provides a wide range of applications in a variety of fields such as medical, food, agriculture, electronics, manufacturing, and chemical engineering. The book features the most recent and detailed information on advancements in biopolymer biomaterials and emphasizes synthesis, characterization, modeling, manufacturing, and testing strategies.Written to be used as a resource guide on biomaterials and innovations, undergraduate and postgraduate students studying manufacturing and materials science will find this book very useful in addition to those working in mechanical engineering, biomedical engineering, manufacturing of pharmaceuticals, biotechnology, and electronics engineering fields. The book can also be used as additional classroom reading for an advanced course on biomaterials modeling and optimization.

This set consists of two volumes, which present an analysis of the existing surveys in the literature of batteries, chargers, control systems, battery management systems, plugs, sockets, drives and fuel cell based and plug in smart electric and hybrid vehicles, and discusses the recent developments, future outlook, advanced and analytical modeling techniques of smart electric and hybrid vehicles. Volume 1 provides detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles and depth in knowledge of power electronics tools in smart electric and hybrid vehicles. It also compiles the research work and findings in advancements of smart electric and hybrid vehicles from automobile, mechanical, electronic, electrical, computer science and allied engineering domains and explains how smart electric and hybrid vehicles can be utilized for harmful emissions over the entire life cycle of vehicle and how reliance on fossil fuels can be cut down. Volume 2 discusses the integration of newer developments like digital twin, artificial intelligence, Nature inspired algorithms, Internet of Things, role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical and simulation modeling, and management techniques to strengthen the engineering science and technological developments for future.This volume set:Discusses different types of lightweight and robust materials for the fabrication of smart electric and hybrid vehicles and presents computational models, emerging technologies, numerical techniques, and environmental and economic benefits applicable to electric vehicles. Showcases a detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles explains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehicles.Focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment and discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehicles and presents design and analysis of charging stations and their sustainability roadmap for smart electric vehicles.Highlights the applications of smart and hybrid vehicles in diverse sectors including aerospace, agriculture, defence, and medical and the cyber and functional security of intelligent and hybrid vehicles.Covers electromechanical drives, storage systems, wireless charging, and component design for smart electric and hybrid vehicles, internet of things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehicles.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.

This book presents an analysis of the existing surveys in the literature of batteries, chargers, control systems, battery management systems, plugs, sockets, drives, and fuel-cell-based and plug-in smart electric and hybrid vehicles. It provides detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles and in-depth knowledge of power electronics tools in smart electric and hybrid vehicles. This book compiles the research work and findings in advancements of smart electric and hybrid vehicles from automobile, mechanical, electronic, electrical, computer science, and allied engineering domains and explains how smart electric and hybrid vehicles can be utilized without harmful emissions over the entire lifecycle of a vehicle and how reliance on fossil fuels can be reduced.Features:Discusses different types of lightweight and robust materials for the fabrication of smart electric and hybrid vehiclesPresents computational models, emerging technologies, numerical techniques, and environmental and economic benefits applicable to electric vehiclesHighlights the applications of smart and hybrid vehicles in diverse sectors including aerospace, agriculture, defense, and medicalCovers electromechanical drives, storage systems, wireless charging, and component design for smart electric and hybrid vehiclesShowcases a detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehiclesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and electronics engineering, computer engineering, and automotive engineering.

Advancements in manufacturing strategies and systems have sparked a profound transformation, ushering in a new era of efficiency, precision, and sustainability, driven by the integration of automation, artificial intelligence, and advanced materials, reshaping industries, boosting productivity, reducing costs, and improving the overall quality of products. This book focuses on practical applications of manufacturing technologies, providing case studies and real-world examples of how these advancements in manufacturing are being implemented to solve manufacturing challenges and improve efficiency.Manufacturing Strategies and Systems: Technologies, Processes, and Machine Tools presents numerical, experimental, and computational approaches for various methods of manufacturing and offers different concepts from cross-disciplinary fields, including discussions from mechanical engineering, production engineering, and industrial engineering, and acts as a guide on the modeling and optimization of various manufacturing methods. The book explores key emerging trends in manufacturing technologies, such as Industry 4.0, additive manufacturing, robotics and automation, advanced materials, digital twins, augmented reality/virtual reality, edge computing, sustainable manufacturing, and cyber security. Key chapters on micro- and nanomanufacturing and cellular manufacturing are included and details on the advances in machining, joining, forming, powder metallurgy, casting, and molding science are discussed. Included are original theoretical, experimental, and modeling results of advancements in manufacturing techniques along with recent developments, outlook, and advanced and analytical modeling techniques of manufacturing with examples backed by experimental and numerical data.This reference title provides logical, technical, and analytical solutions and ideas to complex problems faced by researchers and professionals in the field of advancements in manufacturing. Academicians and students will get a comprehensive update on the state of the arts in this area and ample ideas for further research and innovation in manufacturing strategies.

Advancements in manufacturing strategies and systems have sparked a profound transformation, ushering in a new era of efficiency, precision, and sustainability, driven by the integration of automation, artificial intelligence, and advanced materials, reshaping industries, boosting productivity, reducing costs, and improving the overall quality of products. This book focuses on practical applications of manufacturing technologies, providing case studies and real-world examples of how these advancements in manufacturing are being implemented to solve manufacturing challenges and improve efficiency.Manufacturing Strategies and Systems: Technologies, Processes, and Machine Tools presents numerical, experimental, and computational approaches for various methods of manufacturing and offers different concepts from cross-disciplinary fields, including discussions from mechanical engineering, production engineering, and industrial engineering, and acts as a guide on the modeling and optimization of various manufacturing methods. The book explores key emerging trends in manufacturing technologies, such as Industry 4.0, additive manufacturing, robotics and automation, advanced materials, digital twins, augmented reality/virtual reality, edge computing, sustainable manufacturing, and cyber security. Key chapters on micro- and nanomanufacturing and cellular manufacturing are included and details on the advances in machining, joining, forming, powder metallurgy, casting, and molding science are discussed. Included are original theoretical, experimental, and modeling results of advancements in manufacturing techniques along with recent developments, outlook, and advanced and analytical modeling techniques of manufacturing with examples backed by experimental and numerical data.This reference title provides logical, technical, and analytical solutions and ideas to complex problems faced by researchers and professionals in the field of advancements in manufacturing. Academicians and students will get a comprehensive update on the state of the arts in this area and ample ideas for further research and innovation in manufacturing strategies.

This text describes how the design, analyzing capacity, and optimization criteria of mechatronics systems can be improved using numerical, experimental, and computational approaches, and how it helps in data sensing, fault detection, and diagnosis. It further discusses topics such as intelligent mechatronics systems and their applications in manufacturing, robotics, and automation.This book:Discusses the applications of mechatronics systems in manufacturing, automation, robotics, medical, pharmaceuticals, ground, and air transportation sectorsPresents numerical, experimental, and computational approaches for signal sensing, fault detection, and diagnosisHighlights the importance of using smart technologies such as artificial intelligence, the Internet of Things, digital twins, machine learning, and deep learning for mechatronic systemsIllustrates the concept of controlling mechatronics devices using virtual reality (VR), augmented reality, and mixed realityExplains the need for the Internet of Things for mechatronics systems and applications in biomedical and pharmaceutical industriesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of mechanical engineering, industrial and manufacturing engineering, electrical engineering, electrical and electronics engineering, automotive engineering, and computer engineering.

This text describes how the design, analyzing capacity, and optimization criteria of mechatronics systems can be improved using numerical, experimental, and computational approaches, and how it helps in data sensing, fault detection, and diagnosis. It further discusses topics such as intelligent mechatronics systems and their applications in manufacturing, robotics, and automation.This book:Discusses the applications of mechatronics systems in manufacturing, automation, robotics, medical, pharmaceuticals, ground, and air transportation sectorsPresents numerical, experimental, and computational approaches for signal sensing, fault detection, and diagnosisHighlights the importance of using smart technologies such as artificial intelligence, the Internet of Things, digital twins, machine learning, and deep learning for mechatronic systemsIllustrates the concept of controlling mechatronics devices using virtual reality (VR), augmented reality, and mixed realityExplains the need for the Internet of Things for mechatronics systems and applications in biomedical and pharmaceutical industriesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of mechanical engineering, industrial and manufacturing engineering, electrical engineering, electrical and electronics engineering, automotive engineering, and computer engineering.

In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, nature-inspired algorithms, Internet of Things, and the role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical, and simulation modeling, and management techniques to strengthen the engineering science and technological developments for the future.Features:This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environmentDiscusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehiclesPresents design and analysis of charging stations and their sustainability roadmap for smart electric vehiclesHighlights the cyber and functional security of intelligent and hybrid vehiclesExplains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehiclesCovers the Internet of Things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehiclesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.

This book presents an analysis of the existing surveys in the literature of batteries, chargers, control systems, battery management systems, plugs, sockets, drives, and fuel-cell-based and plug-in smart electric and hybrid vehicles. It provides detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles and in-depth knowledge of power electronics tools in smart electric and hybrid vehicles. This book compiles the research work and findings in advancements of smart electric and hybrid vehicles from automobile, mechanical, electronic, electrical, computer science, and allied engineering domains and explains how smart electric and hybrid vehicles can be utilized without harmful emissions over the entire lifecycle of a vehicle and how reliance on fossil fuels can be reduced.Features:Discusses different types of lightweight and robust materials for the fabrication of smart electric and hybrid vehiclesPresents computational models, emerging technologies, numerical techniques, and environmental and economic benefits applicable to electric vehiclesHighlights the applications of smart and hybrid vehicles in diverse sectors including aerospace, agriculture, defense, and medicalCovers electromechanical drives, storage systems, wireless charging, and component design for smart electric and hybrid vehiclesShowcases a detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehiclesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and electronics engineering, computer engineering, and automotive engineering.

In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, nature-inspired algorithms, Internet of Things, and the role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical, and simulation modeling, and management techniques to strengthen the engineering science and technological developments for the future.Features:This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environmentDiscusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehiclesPresents design and analysis of charging stations and their sustainability roadmap for smart electric vehiclesHighlights the cyber and functional security of intelligent and hybrid vehiclesExplains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehiclesCovers the Internet of Things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehiclesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.

Emerging trends in Industrial Engineering and Management (IEM) refer to the new and transformative developments, practices, and technologies that are currently gaining prominence in the field of industrial engineering and management. Trends in Industrial Engineering and Management can encompasses a wide range of topics such as utilization of Industry 4.0 strategies like Industrial Internet of Things, artificial Intelligence, theoretical, numerical, computational approaches to model the methods and process of IEM.This book:Provides a comprehensive discussion of industrial engineering and managementIncludes principles of continuous improvement, encouraging readers to adopt a mind-set of on-going optimization and innovation in industrial engineering and managementPresents multi-objective optimization, stochastic optimization, and metaheuristic optimization algorithms for solving complex optimization problems in industrial engineeringAligns with the needs of various industries, addressing specific challenges faced by manufacturing, healthcare, logistics, service, and other sectorsHighlights the importance of using digital technological tools like the Internet of Things, Industrial Internet of Things, big data, and artificial intelligence in practices of industrial management to enhance competitiveness, decision-making, and operations efficiencyIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, operation management, industrial management, quality engineering, and engineering management.

This book is a comprehensive guide to the latest advancements in manufacturing, adopting an Industry 4.0 approach.

Additive Manufacturing is a method of manufacturing parts and products directly from design data, by adding layers of materials in order to obtain the final shape and size with high accuracy and negligible waste. The book covers the latest developments of hybrid and bio-inspired 3D Printing, the use of Artificial Intelligence and the applications to Industry 4.0, real-time defect detection, hybrid and bio-inspired 3D Printing. .

Smart materials have garnered significant attention in recent years due to their unique properties and promising applications across various industries. Properties are altered in a controlled fashion by external or internal stimuli such as temperature, stress, pressure, pH, electric or magnetic fields and moistures. Smart materials are also called intelligent materials because of their intellectual behavior due to change in environmental conditions. The key features of intellectual behavior include the capabilities to retain original state once stimulus has been removed. Smart properties such as self-sensing, self-healing, memory capabilities, self-adaptivity, self-diagnostics, self-actuating allow new applications in mechanical, electronics, medical, healthcare, aerospace, aviation, automobile and environmental engineering. The book captures the recent innovative breakthroughs in smart materials, experimental and computational analysis, hybrid processing techniques, and the latest developments in the applications of smart materials. It covers fundamentals, artificial intelligence, digital twin, and internet of things for the design and development of novel features and describes processing, testing, optimization, modeling, simulation, and characterization techniques. This book will help readers understand shape-memory alloys, shape-memory polymers, piezoelectric materials, electrochromic materials, thermoelectric materials, and magneto-restrictive materials.

This book consists of eleven chapters that covers all aspects of mechatronics systems from basics to advanced.  This book is an edited compilation of original research and applications  backed with experimental, numerical and theoretical data on mechatronics systems, suitably categorized into sections of closely related topics, contributed by researchers, academics, scientists, industrialists and professionals from the field on various aspects of mechatronics. Therefore, it will provide logical, technical as well as analytical solutions and ideas to complex problems faced by researchers in the field of mechatronics. The academicians and students will get a comprehensive update on the state-of-the-art in this area and ample ideas for further research and innovation in mechatronics.

This book consists of eleven chapters that covers all aspects of mechatronics systems from basics to advanced.  This book is an edited compilation of original research and applications  backed with experimental, numerical and theoretical data on mechatronics systems, suitably categorized into sections of closely related topics, contributed by researchers, academics, scientists, industrialists and professionals from the field on various aspects of mechatronics. Therefore, it will provide logical, technical as well as analytical solutions and ideas to complex problems faced by researchers in the field of mechatronics. The academicians and students will get a comprehensive update on the state-of-the-art in this area and ample ideas for further research and innovation in mechatronics.