As technology continues to advance, the complexity of technological machines and transportation vehicles increases, presenting new challenges in assessing their dynamic properties. A thorough explanation of new forms of construction of mathematical models that take into account the potential occurrence of new standard links in the initial oscillatory structures is needed for a comprehensive solution to the challenges posed by the dynamics of machines. Structural Mathematical Modeling Applications in Technological Machines and Transportation Vehicles by Andrey Eliseev evaluates solutions on how to accurately assess the dynamic properties of modern machines. Eliseev's in-depth analysis of the interconnectedness of the processes of studying the state of the technical object, evaluating its dynamic properties, and solving specific problems of dynamic interaction of machine elements provides a unique perspective on the challenges posed by machine dynamics. This book is an essential resource for specialists in the field of research, design, and calculations of technical objects exposed to dynamic loads, as well as students and postgraduates of technical specialties related to the application of system analysis and mathematical modeling.

"The monograph is devoted to the development of the basis of modern machine science. A wide class of problems of dynamics of mechanical engineering objects operating under conditions of intense dynamic loading is considered. The basis of the approach is the formation of mathematical models of technical objects that can be displayed using mechanical oscillatory systems with several degrees of freedom and concentrated parameters"--

In the ever-evolving landscape of engineering, a pressing challenge looms large—the need to navigate the complexities of modern problems with precision and efficiency. As industries grapple with an array of intricate issues, from sustainable materials to resilient infrastructure, the demand for optimal solutions has never been more pronounced. Traditional approaches are often inadequate, prompting the search for advanced optimization techniques capable of unraveling the intricacies inherent in engineering systems. The problem at hand is clear: how can engineers, researchers, and practitioners harness cutting-edge methodologies to address the multifaceted challenges shaping our technological future? Advanced Optimization Applications in Engineering, is a definitive guide poised to revolutionize problem-solving in civil engineering. This book offers a comprehensive exploration of state-of-the-art optimization algorithms and their transformative applications. By delving into genetic algorithms, particle swarm optimization, neural networks, and other metaheuristic strategies, this collection provides a roadmap for automating design processes, reducing costs, and unlocking innovative solutions. The chapters not only introduce these advanced techniques but also showcase their practical implementation across diverse engineering domains, making this book an indispensable resource for those seeking to stay at the forefront of technological advancements.

The achievement of high-efficiency and precise grinding of difficult-to-cut metals—like titanium alloys—is essential in the aerospace industry. However, the process often results in thermal damage to the workpiece surface, posing a significant technical challenge. While minimum quantity lubrication (MQL) has been used to aid titanium alloy grinding, its effectiveness is limited by insufficient heat dissipation and lubrication. As an alternative to normal temperature air for carrying micro-lubricants, Cryogenic air has shown promise in improving oil film heat transfer and lubrication performance in the grinding zone, thus reducing workpiece surface thermal damage. The experimental state of the technology demands more comprehensive studies on its effectiveness and on the underlying mechanisms. Thermodynamic Mechanism of Cryogenic Air Minimum Quantity Lubrication Grinding addresses these challenges by providing a theoretical framework for understanding and optimizing cryogenic air minimum quantity lubrication in grinding processes, particularly for titanium alloys. It explores the physical characteristics of lubricants under cryogenic conditions, the influence of low temperatures on atomization effects, droplet formation dynamics, and heat transfer mechanisms within the grinding zone. By establishing quantitative relationships between cryogenic air parameters and lubricant properties, the book lays a foundation for enhancing the cooling lubrication mechanism of cryogenic air MQL in grinding processes. Researchers, scholars, and graduate students in universities and research institutes focusing on machining will find this book invaluable, as it goes beyond the theoretical insights into practical solutions to enhance grinding efficiency and reduce thermal damage.

As more and more communities around the world are turning to electric vehicles (EVs) to help the environment and save energy, we face a big challenge. The systems that deliver power to our homes and businesses are having a tough time keeping up, especially with the increasing use of EVs. This challenge is a major issue for the experts in the energy field who are working hard to figure out how to make sure our power systems stay reliable. The main goal for these experts right now is to create a strong, flexible system that can smoothly handle the integration of EVs, making sure the power flows well, the grid stays stable, and the systems remain eco-friendly. E-Mobility in Electrical Energy Systems for Sustainability is a comprehensive guide to navigating the complexities of e-mobility integration. Delving into crucial aspects such as architectural reconfiguration, restoration strategies, power quality control, and regulatory frameworks, the book provides solutions on how to address the challenges posed by the integration of EVs into distribution systems. Its examination of advanced technologies, including communication-enabled EV charging systems, battery management systems, and power grid cybersecurity measures, equips readers with the knowledge needed to start the transformative journey towards sustainable electric transportation. This book is a great resource for those seeking to understand, engage with, and contribute to the landscape of e-mobility integration.

The aviation industry faces an unprecedented challenge – the digital transformation revolution. While digital technologies promise immense benefits in terms of efficiency, safety, and passenger experience, they also bring forth intricate challenges. Navigating through complex regulatory frameworks and safeguarding against cybersecurity risks has become a paramount concern for aviation professionals and academics alike. The industry's future success hinges on its ability to adapt to this digital revolution while effectively managing the potential pitfalls it presents. Harnessing Digital Innovation for Air Transportation emerges as a timely and comprehensive solution for academic scholars in aviation management. It offers a profound exploration of how digital innovations are shaping various facets of aviation and provides in-depth strategies to address the challenges presented by this digital revolution. From understanding the impact of digital transformation to harnessing data analytics, managing safety, enhancing the passenger experience, and delving into emerging technologies, this book equips readers with the knowledge and tools to thrive in the digital age of aviation.

The field of DC attraction-type levitation systems (DCALS) faces challenges that hinder its optimal performance in various industrial applications, stemming from inherent instability, nonlinearity, and unmodeled dynamics. To address these issues, Studies on Single and Double Actuator Based DC Attraction Type Levitation Systems: Optimization Techniques by Dr. Rupam Bhaduri provides a comprehensive solution. This book offers an in-depth analysis, design, and optimization of DCALS, with a focus on single and double actuator systems. Through advanced optimization techniques and interdisciplinary approaches, Dr. Bhaduri equips academic scholars, researchers, and engineering professionals with the necessary knowledge and tools to overcome system complexities, achieve stability, and ensure precise control in levitation systems. By leveraging the insights presented in this invaluable resource, scholars can contribute to the advancement of DCALS through innovative research and development. The book caters to individuals specializing in electromagnetism, electronics, power electronics, mechanical engineering, and control systems, who seek a deeper understanding of DC attraction-type levitation systems. With its interdisciplinary approaches and emphasis on optimization techniques, this book unlocks the full potential of DCALS, enabling precise control and stability in industrial applications. Embracing the concepts and methodologies outlined in this book will empower scholars to overcome challenges, drive progress, and make significant contributions to the field of DC attraction-type levitation systems.

The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While optimization techniques are pivotal in streamlining aerospace processes, security challenges have recently surfaced. AI and Blockchain Optimization Techniques in Aerospace Engineering delves into the transformative impact of technologies on various facets of the aerospace industry, offering a multidimensional solution to overcome security concerns and enhance the overall efficiency of aerospace systems The book explores how machine learning reshapes aerospace systems by automating complex tasks through self/reinforced learning methods. From air traffic data analysis to flight scheduling, geographical information, and navigation, machine learning has become an indispensable tool, offering valuable insights that enhance aerospace operations. Simultaneously, blockchain technology, with its inherent characteristics of decentralization and tamper-proof ledgers, ensures transparency, accountability, and security in transactions, providing an innovative approach to data integrity and system resilience. Designed for technology development professionals, academicians, data scientists, industrial experts, researchers, and students, the book offers a panoramic view of the latest innovations in the field.

This book develops and substantiates methods for structural mathematical modeling in the context of protecting machines and equipment from vibration effects. It analyzes problems concerning the dynamic interactions of elements in mechanical oscillatory systems, constructing suitable mathematical models, estimating their dynamic properties, and adapting structural mathematical models to the equivalent forms. In turn, it develops a methodological basis for identifying the lever linkages and taking into account the peculiarities of their influence on the dynamic properties of systems. Given its scope, the book offers a valuable resource for specialists in the fields of dynamics and strength of machines, vibration protection systems for equipment, and maintenance of the dynamic quality of vibrating machines, as well as students in related degree programs.