Mukesh Kumar Awasthi - Böcker

Composting and vermicomposting are widely used biological processes for the management of the wastes produced by the communities and agricultural activities, which have experienced substantial growth during the last few years. Advances in Composting and Vermicomposting Technology summarizes the most important work conducted during the last few years under one cover. The book includes conventional and recent advancements in composting and vermicompostimg technologies, information regarding mitigation of greenhouse gases emission and resistant genes, and finally recovery of "Value-Added Materials" in the composting sectors. Furthermore it includes models and available upgradation, global case studies, opportunities and challenges (technical constraints, Institutional constraints and social constraints) associated with the composting technology advancement and finally, application of LCA and considerations in economic evaluation of composting technologies and other organic waste treatment strategies. First book on the use of composting technology for process development within organic waste recycling and management Critically discusses development of industrial composting processes and market demand of compost as cleaner products Includes industrial application of cleaner composting technology towards valorization of high value of compost Provides recent knowledge on research and applications by integration of sustainable cleaner composting technologies

Biofuels Production from Lignocellulosic Materials presents the latest scientific and technical advances in the bioprocessing of lignocellulosic materials for disposal, resource recovery, and biofuel and bioenergy production. The book emphasizes the main chemical and biological properties of lignocellulosic materials, its pre-treatment, emerging nutrient recovery technologies, the role of microbial biotechnology in lignocellulosic materials management, and the sustainable use of biofuel for anthropogenic activities to fulfil energy demand. Lignocellulose biorefinery outcomes are examined from multiple perspectives, including applied chemical, mechanical, and enzymatic pre-treatments technologies, and cost-effective and energy-efficient options for developing high value-added products.This is a valuable reference for scientists, researchers, engineers, and industrial practitioners, as well as graduate and postgraduate students working on the utilization of lignocellulosic materials.

Explores sustainable resource recovery and utilization of lignocellulosic materials for technology development within organic waste recycling and disposalCritically discusses the development of industrial sustainable bioprocessing of lignocellulosic materials and market demand of bioenergy and biofuel productionExamines industrial applications of biological and thermochemical lignocellulosic materials recycling towards emerging nutrient recovery technologies

Next Generation Renewable Thermal Energy Harvesting, Conversion and Storage Technologies is an essential guide for those interested in the field of renewable thermal energy. The book covers a wide range of topics, focusing on solar thermal, geothermal, and biomass energy. By presenting the fundamentals, advancements, and practical applications, the book bridges the gap in interdisciplinary knowledge. Readers will find valuable insights into the latest technological advancements and real-world case studies, making it a comprehensive resource for researchers, engineers, students, and policymakers. The book aims to inspire collaboration and innovation, contributing to a cleaner and more sustainable future.The book is divided into three sections, each dedicated to a specific renewable energy source. The first section covers solar thermal energy, including solar collectors, concentrating solar power systems, and thermal energy storage. The second section focuses on geothermal energy, discussing exploration techniques, drilling technologies, and optimizing power generation. The last section explores biomass energy, emphasizing sustainability and the integration of biomass with other energy sources.Delivers a consolidated resource that covers both theoretical foundations and real-world applicationsUnveils the latest innovations in solar thermal energy harvesting, including Photothermal Conversion Technologies and Materials Innovations in Collector TechnologiesReveals the power of Nanomaterials and Coatings for Enhanced Solar Thermal Absorption, as well as the use of Phase Change Materials for Energy Storage and RetrievalDives into Geothermal Energy Harvesting, Enhanced Geothermal Systems (EGS), and their applications in agriculture, aquaculture, communities, buildings, and more

Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess delves into the transformative role of AI and ML in enhancing the efficiency and effectiveness of bioprocess operations. The book covers everything from predictive modeling and bioreactor design to the integration of IoT in Bioprocess 4.0, and synthesizes the latest scientific advancements and practical applications in the field of thermochemical and biochemical bioprocesses. The book explores a wide array of topics, including deep learning applications in gasification, the role of artificial neural networks in process control, and the use of genetic algorithms in thermochemical processing. Each chapter offers invaluable insights into current methodologies and future perspectives. Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess provides a solid foundation for applying AI and ML techniques to tackle pressing challenges in clean fuel production, waste management, and climate change mitigation.Explores cutting-edge applications of AI and ML tools in enhancing clean fuel technologies and energy security, providing readers with innovative strategies to tackle global energy challengesAnalyzes the integration of AI and ML in waste management and valorization processes, highlighting methods to reduce greenhouse gas emissions and promote a circular economy for sustainable developmentEvaluates the role of AI and ML in advancing thermochemical biomass conversion technologies, equipping researchers with insights into chemical kinetics, process intensification, and economic viability for biofuel productionDiscusses the implications of AI and ML on regulatory frameworks and policies, offering a comprehensive guide for academics, industry leaders, and policymakers to drive forward research in alternative fuels and bioenergy utilizationPresents case studies and real-world applications, illustrating the transformative potential of AI and ML in addressing climate change mitigation and fostering a sustainable future

Offering a comprehensive approach, this title covers fundamentals, technologies, and management of biological processing of solid waste. It discusses kinetic modeling and synergistic impact evolution during bioprocessing of solid waste, environmental impacts such as greenhouse gas emission from biological processing of solid waste, energy recovery from solid waste, and biodrying of solid waste. It also presents cases and challenges from different countries, successful business models, and economic analyses of various processing options.Aimed at researchers and industry professionals in solid and hazardous waste management, this title offers a wealth of knowledge to help readers understand this increasingly important area.

This book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering.The book: • Discusses topics related to clean and green energy production and storage • Bridges the gap between core theory and costly industrial experiments • Covers advanced biomechanics and nanodrug delivery topics • Explores diversified applications of mathematical techniques to solve practical engineering problems The text in this book emphasizes mathematical treatment of soft computing, image and signal processing, fluid flows in various geometries, biomechanics, biological modeling, a mathematical description of the solar cell, analytical and numerical treatment of problems in fracture mechanics, and antenna design modeling. It also discusses the numerical computations of biomechanics problems and problems arising in cryptography. The text further covers optimization techniques that are useful for real-world problems. This material is primarily written for graduate students and academic researchers in a number of engineering fields, including electrical, electronics and communication, industrial, manufacturing, mechanical, computer science, and mathematics.

This book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering.The book: • Discusses topics related to clean and green energy production and storage • Bridges the gap between core theory and costly industrial experiments • Covers advanced biomechanics and nanodrug delivery topics • Explores diversified applications of mathematical techniques to solve practical engineering problems The text in this book emphasizes mathematical treatment of soft computing, image and signal processing, fluid flows in various geometries, biomechanics, biological modeling, a mathematical description of the solar cell, analytical and numerical treatment of problems in fracture mechanics, and antenna design modeling. It also discusses the numerical computations of biomechanics problems and problems arising in cryptography. The text further covers optimization techniques that are useful for real-world problems. This material is primarily written for graduate students and academic researchers in a number of engineering fields, including electrical, electronics and communication, industrial, manufacturing, mechanical, computer science, and mathematics.

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results.Key Features:Offers a well-balanced mathematical analysis of modeling physical systemsSummarizes basic principles in differential geometry and convex analysis as neededCovers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modelingFocuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etcThis book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results.Key Features:Offers a well-balanced mathematical analysis of modeling physical systemsSummarizes basic principles in differential geometry and convex analysis as neededCovers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modelingFocuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etcThis book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.

The text covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow–fast predator-prey system and spread and control of HIV epidemic. It emphasizes the use of mathematical modeling to investigate the fluid flow problems including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids in a comprehensive manner. This book will be a readily accessible source of information for the students, researchers and policymakers interested in the application of mathematical and computational modeling techniques to investigate various biological and engineering phenomena.Features Focuses on the current modeling and computational trends to investigate various ecological, epidemiological, and engineering systems. Presents the mathematical modeling of a wide range of ecological and environmental issues including crop pest control management, water resources management, the effect of anthropogenic activities on atmospheric carbon dioxide concentrations, and impact of climate changes on melting of glaciers and polar bear population. Covers a wide range of topics including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids. Examines evolutionary models i.e., models of time-varying processes. Highlights the recent developments in the analytical methods to investigate the nonlinear dynamical systems.Showcases diversified applications of computational techniques to solve practical biological and engineering problems.The book focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including ecological engineering, environmental engineering, computer engineering, mechanical engineering, mathematics, and fluid dynamics.

This reference book provides updated information about the technological advancement in sustainable thermochemical bioprocessing of sewage sludge disposal and resource recovery. It discusses the innovative strategies of resource recovery for the formulation of feedstock, clean compost production and safe application. This book traces the main chemical and biological properties of sewage sludge and covers biostabilization, detoxification, the role of microorganisms in sewage sludge management and the sustainable use of sewage sludge from a circular economy perspective.Key Features• Discusses organic waste disposal and recycling• Covers knowledge transfer from waste bioprocessing to commercially important end products• Includes industrial application of biological and thermochemical sewage sludge treatment toward emerging nutrient recovery technologies• Reviews the function and applications of microorganisms in sewage sludge treatment• Describes the application of sewage sludge as fertilizers in agricultureThis book is meant for researchers and industry experts in environmental sciences, biochemical engineering and biotechnology.

The text covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow–fast predator-prey system and spread and control of HIV epidemic. It emphasizes the use of mathematical modeling to investigate the fluid flow problems including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids in a comprehensive manner. This book will be a readily accessible source of information for the students, researchers and policymakers interested in the application of mathematical and computational modeling techniques to investigate various biological and engineering phenomena.Features Focuses on the current modeling and computational trends to investigate various ecological, epidemiological, and engineering systems. Presents the mathematical modeling of a wide range of ecological and environmental issues including crop pest control management, water resources management, the effect of anthropogenic activities on atmospheric carbon dioxide concentrations, and impact of climate changes on melting of glaciers and polar bear population. Covers a wide range of topics including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids. Examines evolutionary models i.e., models of time-varying processes. Highlights the recent developments in the analytical methods to investigate the nonlinear dynamical systems.Showcases diversified applications of computational techniques to solve practical biological and engineering problems.The book focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including ecological engineering, environmental engineering, computer engineering, mechanical engineering, mathematics, and fluid dynamics.

The text provides insight into the different mathematical tools and techniques that can be applied to the analysis and numerical computations of flow models. It further discusses important topics such as the heat transfer effect on boundary layer flow, modeling of flows through porous media, anisotropic polytrophic gas model, and thermal instability in viscoelastic fluids.This book:Discusses modeling of Rayleigh-Taylor instability in nanofluid layer and thermal instability in viscoelastic fluidsCovers open FOAM simulation of free surface problems, and anisotropic polytrophic gas modelHighlights the Sensitivity Analysis in Aerospace Engineering, MHD Flow of a Micropolar Hybrid Nanofluid, and IoT-Enabled Monitoring for Natural ConvectionPresents thermal behavior of nanofluid in complex geometries and heat transfer effect on Boundary layer flowExplains natural convection heat transfer in non-Newtonian fluids and homotropy series solution of the boundary layer flowIllustrates modeling of flows through porous media and investigates Shock-driven Richtmyer-Meshkov instabilityIt is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of Applied Sciences, Mechanical Engineering, Manufacturing Engineering, Production Engineering, Industrial engineering, Automotive engineering, and Aerospace engineering.

In the rapidly advancing modern world, scientific and technological understanding and innovation are reaching new heights. Computational fluid dynamics and heat transfer have emerged as powerful tools, playing a pivotal role in the analysis and design of complex engineering problems and processes. With the ability to mathematically model various engineering phenomena, these computational tools offer a deeper understanding of intricate dynamics before the physical prototype is created. Widely employed as simulation tools, computational fluid dynamics and heat transfer codes enable the virtual or digital prototype development of products and devices involving complex transport and multiphasic phenomena. They have become an indispensable element of the agile product development environment across diverse sectors of manufacturing, facilitating accelerated product development cycles.Key features of this book:Covers the analysis of advanced thermal engineering systemsExplores the simulation of various fluids with slip effectApplies entropy and optimization techniques to thermal engineering systemsDiscusses heat and mass transfer phenomenaExplores fluid flow and heat transfer in porous mediaCaptures recent developments in analytical and computational methods used to investigate the complex mathematical models of fluid dynamicsCovers the application of mathematical and computational modeling techniques to fluid flow problems in various geometriesModeling and Simulation of Fluid Flow and Heat Transfer delves into the fascinating world of fluid dynamics and heat transfer modeling, presenting an extensive exploration of these subjects. This book is a valuable resource for researchers, engineers, and students seeking to comprehend and apply numerical methods and computational tools in fluid dynamics and heat transfer problems.

In the rapidly advancing modern world, scientific and technological understanding and innovation are reaching new heights. Computational fluid dynamics and heat transfer have emerged as powerful tools, playing a pivotal role in the analysis and design of complex engineering problems and processes. With the ability to mathematically model various engineering phenomena, these computational tools offer a deeper understanding of intricate dynamics before the physical prototype is created. Widely employed as simulation tools, computational fluid dynamics and heat transfer codes enable the virtual or digital prototype development of products and devices involving complex transport and multiphasic phenomena. They have become an indispensable element of the agile product development environment across diverse sectors of manufacturing, facilitating accelerated product development cycles.Key features of this book:Covers the analysis of advanced thermal engineering systemsExplores the simulation of various fluids with slip effectApplies entropy and optimization techniques to thermal engineering systemsDiscusses heat and mass transfer phenomenaExplores fluid flow and heat transfer in porous mediaCaptures recent developments in analytical and computational methods used to investigate the complex mathematical models of fluid dynamicsCovers the application of mathematical and computational modeling techniques to fluid flow problems in various geometriesModeling and Simulation of Fluid Flow and Heat Transfer delves into the fascinating world of fluid dynamics and heat transfer modeling, presenting an extensive exploration of these subjects. This book is a valuable resource for researchers, engineers, and students seeking to comprehend and apply numerical methods and computational tools in fluid dynamics and heat transfer problems.

The text provides insight into the different mathematical tools and techniques that can be applied to the analysis and numerical computations of flow models. It further discusses important topics such as the heat transfer effect on boundary layer flow, modeling of flows through porous media, anisotropic polytrophic gas model, and thermal instability in viscoelastic fluids.This book:Discusses modeling of Rayleigh-Taylor instability in nanofluid layer and thermal instability in viscoelastic fluidsCovers open FOAM simulation of free surface problems, and anisotropic polytrophic gas modelHighlights the Sensitivity Analysis in Aerospace Engineering, MHD Flow of a Micropolar Hybrid Nanofluid, and IoT-Enabled Monitoring for Natural ConvectionPresents thermal behavior of nanofluid in complex geometries and heat transfer effect on Boundary layer flowExplains natural convection heat transfer in non-Newtonian fluids and homotropy series solution of the boundary layer flowIllustrates modeling of flows through porous media and investigates Shock-driven Richtmyer-Meshkov instabilityIt is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of Applied Sciences, Mechanical Engineering, Manufacturing Engineering, Production Engineering, Industrial engineering, Automotive engineering, and Aerospace engineering.

This text highlights how nanofluids can be used in thermal solutions across multiple industries, including electronics, energy, and manufacturing. It emphasizes the enhanced heat transfer properties of nanofluids and their potential to significantly improve the efficiency of heat exchange processes. This book discusses topics such as nanoparticle synthesis, nanofluid testing, performance enhancement using nanofluids, thermal behavior of hybrid nanofluids, Brinkman equation in nanofluids and safety considerations in nano fluid‑based systems.This book:Discusses the recent innovation, technological development of nanofluids and explores nanoparticle synthesis and characterization for nanofluid developmentOffers a comprehensive understanding of nanofluid technology and nanofluid for aerospace application, covering diverse topics from fundamental properties to advanced research frontiers in nanofluids for thermal engineeringIncludes real‑world case studies and practical techniques that will help the readers to apply nanofluid technology in various thermal engineering scenariosCovers heat exchanger performance improvement with nanofluids, hybrid nanofluids, Flow of Newtonian and Non‑Newtonian hybrid Nanofluid, and oil‑based Tri‑hybrid NanofluidExplains experimental techniques for nanofluid testing and validation and presents safety and environmental considerations in nanofluid‑based systemsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, production engineering, mechanical engineering, automotive engineering, and aerospace engineering.

This text highlights how nanofluids can be used in thermal solutions across multiple industries, including electronics, energy, and manufacturing. It emphasizes the enhanced heat transfer properties of nanofluids and their potential to significantly improve the efficiency of heat exchange processes. This book discusses topics such as nanoparticle synthesis, nanofluid testing, performance enhancement using nanofluids, thermal behavior of hybrid nanofluids, Brinkman equation in nanofluids and safety considerations in nano fluid‑based systems.This book:Discusses the recent innovation, technological development of nanofluids and explores nanoparticle synthesis and characterization for nanofluid developmentOffers a comprehensive understanding of nanofluid technology and nanofluid for aerospace application, covering diverse topics from fundamental properties to advanced research frontiers in nanofluids for thermal engineeringIncludes real‑world case studies and practical techniques that will help the readers to apply nanofluid technology in various thermal engineering scenariosCovers heat exchanger performance improvement with nanofluids, hybrid nanofluids, Flow of Newtonian and Non‑Newtonian hybrid Nanofluid, and oil‑based Tri‑hybrid NanofluidExplains experimental techniques for nanofluid testing and validation and presents safety and environmental considerations in nanofluid‑based systemsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, production engineering, mechanical engineering, automotive engineering, and aerospace engineering.

The text offers a detailed presentation of mathematical, numerical, and experimental techniques for nanofluids. It further covers the synthesis, characterization, stability, and heat transport. The book comprehensively discusses topics such as the comparison of heat transfer models, flow features of ternary hybrid nanofluids, thermodynamics and mass diffusion, and natural convection in triangular cavities.This book: Emphasizes the enhancement of heat transfer processes through nanoparticles, extending beyond heat transfer to applications in renewable energy. Explores the applications of nanofluids in enhancing food processing and agricultural practices. Covers thermal instability of couple-stress on viscous-elastic nanofluid flow and natural convection in a triangular cavity. Explains concepts including nanofluid-based energy storage, mass diffusion, thermodynamics, and nanofluid synthetic techniques. Presents topics such as numerical methods, fluid dynamics simulation, magnetohydrodynamics, heat and mass transfer, and radiation.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of mechanical engineering, aerospace engineering, automotive engineering, industrial and production engineering, energy engineering, fluid dynamics, and tribology.

Heat Exchanger Technologies for Sustainable Renewable Energy Systems serves as a comprehensive resource on the cutting-edge advancements and applications of heat exchanger technologies in the realm of renewable energy. This book delves into the fundamental principles, design methodologies, and operational strategies for optimizing heat exchange processes in various sustainable energy systems.Covering a wide range of topics, the book explores innovative heat exchanger designs, materials, and configurations that enhance thermal performance and efficiency. It examines the integration of heat exchangers in solar thermal systems, geothermal applications, and biomass energy systems, providing insights into their role in promoting energy conservation and sustainability.The content encompasses both theoretical frameworks and practical applications, featuring case studies that illustrate successful implementations of heat exchanger technologies in real-world scenarios. Readers will gain a thorough understanding of performance evaluation metrics, modeling techniques, and experimental methodologies used to assess heat exchanger efficiency.Key features of the book:Discusses the principles of heat transfer and fluid dynamics relevant to heat exchangers.Investigates emerging materials and design innovations for enhanced thermal performance.Explores the application of heat exchangers in various renewable energy systems, including solar, geothermal, and biomass.Provides in-depth analysis of modeling techniques and performance evaluation criteria.Highlights recent developments in heat exchanger technologies and their impact on sustainability.Targeted at researchers, engineers, and students in the fields of renewable energy, mechanical engineering, and environmental science, this book is an essential guide for anyone seeking to advance their understanding of heat exchanger technologies and their vital role in sustainable energy systems.

Design Optimization Using Artificial Intelligence serves as an insightful resource for understanding the transformative role of Artificial Intelligence (AI) in optimizing design processes across a variety of fields. This book explores foundational concepts, advanced methodologies, and real-world applications, offering a comprehensive guide to leveraging AI for innovative design solutions.Covering a broad spectrum of topics, the book examines algorithmic advancements, machine learning techniques, and optimization strategies that enhance design efficiency and accuracy. It delves into AI's applications in sustainable energy systems, biomedical innovations, image processing, cyber-security, and other critical domains, showcasing its ability to solve complex challenges with precision and creativity.The content bridges theoretical foundations with practical implementations, incorporating case studies that highlight successful applications of AI-driven design optimization. Readers will gain valuable insights into state-of-the-art tools, programming techniques, and frameworks that drive advancements in intelligent design systems.Features:Explores AI-driven methodologies for enhancing design accuracy and efficiencyDiscusses advanced machine learning techniques and optimization algorithmsHighlights AI's applications in diverse fields such as energy systems, healthcare, image processing, and cyber-securityIncludes in-depth case studies to illustrate real-world implementations of AI in design optimizationInvestigates future trends and the potential of AI to transform traditional design processesTargeted at researchers, engineers, and students in the fields of artificial intelligence, computational science, and engineering, this book is an essential reference for anyone seeking to understand and utilize AI in the realm of design optimization. It provides the tools and knowledge necessary to harness AI's power for innovative, efficient, and intelligent design solutions.

Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This edited volume brings together innovative research exploring how AI-driven methods revolutionize traditional approaches to complex optimization problems, enabling enhanced performance, interpretability, and real-world applicability across diverse domains.Covering foundational and advanced topics, the book introduces readers to machine learning, deep learning, and reinforcement learning as critical tools for modeling high-dimensional, nonlinear, and stochastic systems. Chapters delve into essential aspects like data pre-processing, feature engineering, neural network architectures, swarm intelligence, quantum optimization, and multi-objective decision-making. Emerging techniques such as Fire Hawk Optimization Plus (FHO+), hybrid deep learning-quantum frameworks, and explainable AI (XAI) are discussed in the context of real-world scenarios ranging from energy systems and manufacturing to disaster prediction and healthcare analytics.This volume uniquely bridges theory and application by integrating algorithmic strategies with case studies on predictive maintenance, renewable energy optimization, cyclone detection, heart disease prediction, and postpartum mental health risk assessment. It also investigates the role of circular economy principles in inventory optimization and examines future trends including neuromorphic computing and ethical AI.Key Features:· Systematic exploration of AI-based optimization in mathematical modeling.· In-depth coverage of ML/DL methods, quantum algorithms, and nature-inspired techniques.· Practical applications in industrial manufacturing, healthcare, smart energy, and environmental resilience.· Detailed discussions on model training, generalization, hyperparameter tuning, and overfitting control.· Includes practical tools such as AutoML, PINNs, CNNs, and quantum convolutional networks.· Forward-looking insights into sustainable optimization, interpretability, and autonomous AI systems.This volume is an essential resource for graduate students, researchers, and practitioners in applied mathematics, computer science, engineering, and data-driven optimization, offering the theoretical depth and application-driven clarity needed to tackle modern scientific and engineering challenges through AI-powered modeling and decision systems.

The text provides a solid foundation in mathematical, modeling, and optimization techniques ensuring that readers develop a deep understanding of the core concepts before delving into more complex topics. It discusses analytical techniques used to solve structural performance, potential flow analysis, fluid flow control in MEMS, two-fluid nonlinear model, and unsteady blood flow.Features:Discusses fundamental equations and governing principles of heat transfer and fluid dynamics.Covers topics such as analytical methods, numerical techniques, turbulence modeling, multiphase flow dynamics, circular economy, industry 4.0, food security, different inventory models, and transportation problems.Presents detailed exploration of various computational methods including finite difference, finite element, and spectral element methods. Addresses the integrated approach needed for solving complex problems involving heat and fluid flow for a wide range of applications, including industrial, agricultural and environmental systems. Showcases how to use powerful computer tools and mathematical methods to analyze and improve real-world systems, such as building performance, materials property enhancement, wastewater treatment, genetically modified crops, and climate models. It is primarily written for senior undergraduates, graduate students, and academic researchers in manufacturing engineering, industrial engineering, engineering mathematics, mathematics, production engineering, industrial engineering, and environmental engineering.

Computational and Mathematical Techniques for Heat Transfer and Fluid Dynamics offers an in-depth exploration of modern modeling, simulation, and optimization strategies for solving complex problems in thermal and fluid systems. This edited volume presents a diverse collection of chapters that blend classical theories with advanced computational methods and emerging technologies to address a wide spectrum of thermal-fluid phenomena.Covering foundational concepts as well as cutting-edge research, the book introduces readers to the fundamental principles of heat transfer and fluid mechanics, followed by in-depth discussions on non-Newtonian fluid models, nanofluid and hybrid nanofluid behaviors, magnetic and chemical interactions, and micropolar and porous media flows. A distinctive feature of this volume is the integration of advanced numerical techniques—including similarity transformations, finite difference solvers, special functions, and fractional calculus—with optimization strategies and machine learning tools.Special emphasis is placed on biomedical flows, multiphase systems, and the application of artificial intelligence in modeling and prediction. Readers will also find case studies related to energy systems, polymer processing, and chemical reactors, making this book highly relevant to both academic researchers and industry professionals.This book:Introduces essential concepts of heat transfer and fluid dynamics using practical modeling approachesExplores nanofluid, hybrid nanofluid, and non-Newtonian fluid flow problems under multiple physical effectsIntegrates modern computational tools such as MATLAB® solvers, statistical optimization, and machine learning modelsDiscusses the application of fractional calculus and exact analytical techniques for complex flow and thermal scenarios and presents real-world applications in microfluidics, biomedical systems, renewable energy, and advanced cooling technologiesOffers detailed insights into optimization and control strategies for enhancing thermal-fluid system performanceThis book is an essential resource for graduate students, researchers, engineers, and professionals in mechanical, chemical, aerospace, and applied mathematics fields who seek to deepen their understanding of computational heat transfer and fluid dynamics in both traditional and emerging applications.

Offering a comprehensive approach, this title covers fundamentals, technologies, and management of biological processing of solid waste. It discusses kinetic modeling and synergistic impact evolution during bioprocessing of solid waste, environmental impacts such as greenhouse gas emission from biological processing of solid waste, energy recovery from solid waste, and biodrying of solid waste. It also presents cases and challenges from different countries, successful business models, and economic analyses of various processing options.Aimed at researchers and industry professionals in solid and hazardous waste management, this title offers a wealth of knowledge to help readers understand this increasingly important area.

This comprehensive guide explores the latest heat transfer enhancement techniques and provides the knowledge and insights required to tackle present and future challenges associated with heat dissipation, making it an essential resource for researchers, engineers, and professionals in the field. In today’s rapidly evolving world, where technological advancements are driving industries forward, the need for innovative solutions for heat transfer and dissipation challenges is becoming increasingly critical. This book serves as a comprehensive guide that explores the latest heat transfer enhancement techniques and their potential to inspire the development of new devices and technologies. By delving into this subject matter, the book aims to empower researchers, engineers, and professionals in the field with the knowledge and insights required to tackle the present and future challenges associated with heat dissipation. It provides a roadmap for pushing the boundaries of traditional thinking and fostering innovation in the field. Heat Transfer Enhancement Techniques: Thermal Performance, Optimization and Applications will be helpful to readers in presenting the basic and advanced technological developments of heat transfer enhancement techniques. Each chapter will cover a specific problem with future scope to further extend this research. This book contains new methodologies, models, techniques, and applications, as well as fundamental knowledge of heat transfer techniques.

Thermal Battery Management System for Hybrid and Electric Vehicles is essential for anyone seeking to understand the cutting-edge advancements and challenges in battery thermal management, providing valuable insights that drive innovation and improve the performance of electric and hybrid vehicles. Thermal Battery Management System for Hybrid and Electric Vehicles investigates the technological advancements, challenges, and future perspectives of battery thermal management systems (BTMS) for electric vehicles (EV) and hybrid electric vehicles (HEV). By researching BTMS, engineers can develop novel thermal management systems and cooling technologies, leading to advancements in the field of electric and hybrid vehicles. This book explores existing research on thermal management systems for EV and HEV batteries, challenges and issues related to thermal management in EV and HEV battery systems, including battery heat generation, temperature, and thermal hazards, and evaluates the impact of temperature on battery performance and the overall efficiency of EV and HEV systems. In summation, this book is a definitive compendium that delves into the intricate tapestry of BTMS applications across diverse industries. Its holistic approach underscores the pivotal role of BTMS in current industrial landscapes and explores its transformative potential as a catalyst for future advancements and innovation.

Future-proof your thermal system designs with this essential guide, providing a comprehensive, cutting-edge exploration of nanofluids to drive innovation and efficiency in heat transfer. The development and application of nanofluids aligns with the broader trend towards miniaturization and higher efficiency in thermal systems. As industries continue to push the boundaries of performance and efficiency, the integration of nanofluids into thermal management solutions represents a forward-thinking approach that addresses these demands. In the context of disciplinary development, the study of nanofluids is situated at the intersection of nanotechnology, materials science, and thermal engineering. The unique properties of nanofluids have prompted extensive research aimed at understanding their behavior and optimizing their use in practical applications. This book contributes to this growing body of knowledge by providing comprehensive insights into the preparation, stability, and thermophysical properties of nanofluids. It also explores advanced computational models and experimental techniques essential for predicting and analyzing the heat transfer performance of nanofluids. This book, by providing a detailed exploration of the theoretical and practical aspects of nanofluids, serves as a valuable resource for researchers, engineers, and industry professionals aiming to harness the potential of this cutting-edge technology to drive innovation and efficiency in thermal systems.

Gain a decisive competitive edge in the global push for sustainability by mastering the mathematical modeling and computational simulation of non-Newtonian fluids. This book bridges complex rheological theory with high-efficiency industrial applications across oil and gas, food processing, and biomedical engineering, equipping readers to optimize performance, reduce waste, and improve energy efficiency through advanced modeling and simulation. In an industrial landscape increasingly defined by sustainability and energy efficiency, accurately simulating non-Newtonian fluid behavior has become a critical advantage. From biomedical precision to the massive scales of oil, gas, and food manufacturing, fluids that defy traditional Newtonian laws demand specialized approaches. This book focuses on mathematical modeling, computational techniques, and real-world industrial applications of non-Newtonian fluids, with in-depth coverage of flow behavior, heat transfer, and mechanical properties. Emphasis is placed on practical modeling and simulation, particularly in polymer processing, food production, and oil drilling. Bridging foundational rheological theory with advanced computational practice, the volume explores shear-thinning, shear-thickening, and viscoelastic behaviors, offering a comprehensive roadmap for navigating complex non-Newtonian dynamics in industrial settings.