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Eames Ian: A Practical Guide to Large
Scale Computational Fluid Dynamics

A Practical Guide to Large Scale Computational Fluid Dynamics

Gas-Solid Adsorption Thermodynamics tackles the underexplored role of thermodynamics in the energetics of gas-solid physical adsorption, examining and outlining their role in different adsorption-based heat transformation energy applications. The book deals with different adsorbate/adsorbent pairs from the rigor of adsorption thermodynamics and their utilization in various applications, providing a comprehensive overview of adsorption heat transformations from the perspective of adsorption thermodynamics. Chapters introduce diverse sorption applications using various adsorbent/adsorbate combinations and their thermodynamic characterizations. Finally, users will find comprehensive information on how adsorption thermodynamics affects system performances from an energetic standpoint given that thermodynamics are strongly related to the energetics of adsorption systems. Different chapters introduce the brief background of utilizing the gas-solid adsorption phenomenon in multifarious energy applications such as thermal management, desalination, volatile organic compound removal, etc.

Gas-Solid Adsorption Thermodynamics

Human-Machine Interfaces in Medical Robotics presents essential and advanced information on developing intuitive human-machine interfaces (HMI) for robotic surgery and rehabilitation. This book provides extensive coverage of multidisciplinary information needed to develop efficient HMI, discussing core technologies of the field, including hand-free control strategies, sensory feedback, data-driven approaches, human-robot shared control, autonomous control, human motor adaption, training, and learning. Arranged in three parts, including interfaces in medical robotics, intelligent machines, and human users, this book provides potential solutions to open questions like what the optimal interface and efficient interaction mode is to facilitate a surgeon’s operation, a patient’s motor control, or human augmentation.

Human-Machine interfaces in Medical Robotics

Fluctuation Mechanism and Control on System Instantaneous Availability facilitates the development of modeling and identification skills for both theoretical research and applications. Supplying an overall summary of current research results in fluctuation analysis of instantaneous availability, it covers the theory, methodology, and specific engineering implementation required to conduct equipment instantaneous availability analysis. Presenting practical methods and tools, it describes how to control the matching transition of new equipment systems as a result of interactions among sub-systems.

Fluctuation Mechanism and Control on System Instantaneous Availability

The use of acoustic technology is not new. The first acoustic systems for aircraft and submarine detection were built during World War I. Over the last few years and with the advance of computing, memory storage efficiency, and programming, signal processing techniques have advanced significantly. As a result, acoustic capabilities have become more attractive in maritime and border security. They can now be applied to detect targets of interest at longer distances at low false alarm rates, better classification, and tracking. This book describes the principles of acoustic waves, signal processing techniques, and current and future applications of acoustic technology for port and border protection.

Acoustic Technologies for Port and Border Protection

Numerical Methods for Engineering and Data Science guides students in implementing numerical methods in engineering and in assessing their limitations and accuracy, particularly using algorithms from the field of machine learning.

Numerical Methods for Engineering and Data Science

Artificial Intelligence Assisted Structural Optimization explores the use of machine learning and correlation analysis within the forward design and inverse design frameworks to design and optimize lightweight load bearing structures as well as mechanical metamaterials.

Artificial Intelligence Assisted Structural Optimization

Advances in Manufacturing, Design and Computational Intelligence Techniques

The text provides in-depth knowledge about recent advances in solar collector system, photovoltaic system, role of thermal energy systems in buildings, phase change materials, geothermal energy, biofuels, thermal management systems for EV in social and industrial applications.

Design, Computational Techniques, and Applications

Thermal Energy Systems

Handbook of Energy Materials in Supercapacitors and Storage Devices

This book introduces a semi-analytical method, Improved Residual Power Series Method (IRPSM) for solving boundary value problems (BVPs). Unlike traditional numerical and analytical techniques, IRPSM offers quick convergence and minimal computational time.

The Improved Residual Power Series Method for Boundary Value Problems

Data Science

This graduate level textbook and reference takes a theoretical and analytical approach to theoretical surface and wave dynamics over wide ranging lengths and time-scales, from fundamental fluid dynamics, and the dynamics of free-surfaces and interfaces with vortices, to flow theory applications, and breaking wave dynamics.

Dynamics of Water Surface Flows and Waves

Digital twins represent an emerging technology of immense potential across various industries. Their significance is particularly pronounced within Industry 4.0 and smart manufacturing paradigms, which strive to elevate efficiency and quality through seamless digital integration. By amassing and scrutinizing extensive data streams, digital twins empower data-centric decision-making-a pivotal asset in contemporary industry. Digital Twins of Advanced Materials Processing bridges the gap in comprehensive resources concerning advanced materials processing, a domain characterized by rapid evolution. It provides pragmatic remedies and real-world case studies, catering to tangible implementation needs. Moreover, digital twins hold the capacity to amplify efficiency and innovation within materials processing-a perspective deeply explored within this book, rendering it invaluable for professionals, researchers, and students alike. The prospects of employing digital twins in materials processing span diverse horizons: refining materials innovation, streamlining processes, enabling data-driven maintenance, enhancing product quality, and unearthing insights rooted in data. The book also undertakes the challenge of addressing key issues encompassing data amalgamation and integrity, model validation and calibration, software and data safeguarding, scalability, and cost considerations.

Digital Twins of Advanced Materials Processing

A Practical Guide to Large Scale Computational Fluid Dynamics

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