Mohit Hemanth Kumar – författare

Hydrogen Technologies: Advanced Materials, AI Applications, and System Integration for Clean Energy addresses the urgent need for a unified, comprehensive resource in hydrogen science and engineering. With the global transition toward a sustainable hydrogen economy, professionals and researchers require up-to-date, practical guidance that bridges theoretical advancements and industrial implementation across materials science, thermal engineering, artificial intelligence, and system integration. This reference offers in-depth coverage of the entire hydrogen technology ecosystem, from production and advanced polymer composites to smart sensors, AI-driven optimization, fuel cell design, industrial utilization, and infrastructure development. Each chapter, authored by experts, systematically explores core topics such as hydrogen storage, thermal management, grid integration, digital twin technology, safety protocols, and life cycle assessment. The content is enriched with real-world case studies, implementation guidelines, and emerging trends, supporting both academic study and practical application. The book empowers materials scientists, energy engineers, and hydrogen specialists to implement advanced solutions, optimize system efficiency, and meet regulatory and market demands. Readers benefit from actionable frameworks, quality control measures, economic analysis tools, and digital transformation strategies, ensuring readiness for current challenges and future innovations in clean energy.Integrates advanced materials science, AI, and system optimization for hydrogen technologiesPresents real-world case studies and practical implementation toolkitsCovers the entire hydrogen value chain from production to utilizationAddresses safety, regulatory compliance, and economic analysisHighlights emerging digital technologies and sustainability assessment

The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.This book:Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysisOffers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysisDiscusses multi-objective optimization for product design and development through data-driven decision-makingExplains information processing and analysis through data visualization and data miningCovers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applicationsIt is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.

The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.

This book:

Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis Discusses multi-objective optimization for product design and development through data-driven decision-making Explains information processing and analysis through data visualization and data mining Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications

It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.

The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.

This book:

Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis Discusses multi-objective optimization for product design and development through data-driven decision-making Explains information processing and analysis through data visualization and data mining Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications

It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.

In recent years, composite materials have garnered attention, as various combinations of reinforcements can be incorporated to create lightweight materials with diverse properties. Composite materials can be tailored for particular applications and made suitable for adverse atmospheric conditions. A new, challenging research area involves the formulation of innovative materials with less weight, higher stiffness, lower costs, and higher biocompatibility. Examples of applications for such materials include electric vehicles, defense vehicles, aircraft parts and industrial machine structures. The incorporation of natural and inorganic filler to Kevlar epoxy composite shows improved behavioral properties compared to either natural or inorganic filler alone. These properties include tensile, flexural and interlaminar shear strength as well as thermal performance. This book aims to describe the advantages of using bi-filler reinforcement over single filler reinforcement to enable the development of innovative composite materials with tunable properties.

This book comprehensively covers the different topics of wood polymer composite materials mainly synthesis methods for the composite materials, various characterization techniques to study the superior properties and insights on potential advanced applications. It also discusses the chemistry, fabrication process, properties, applications, recycling and life cycle assessment of wood polymer composites. This is a useful reference source for both engineers and researchers working in composite materials science as well as the students attending materials science, physics, chemistry and engineering courses.