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Sustainable Carbon Dots in Food
Packaging

Sustainable Carbon Dots in Food Packaging

Woodhead Publishing Series in Civil and Structural Engineering

Latent Heat Storage for Energy-Efficient Buildings and Zero-Carbon Communities serves as an up-to-date reference guide on the rapid progress the field is experiencing while keeping up with the much-required transformative initiatives to improve buildings' energy performance worldwide. To lay the foundations, the book opens with coverage of the fundamentals of phase-change materials, including their thermo-physical properties, nanoscale thermal transport mechanisms, encapsulation techniques, and heat transfer enhancement methods. It goes on to explore the integration of latent heat storage solutions in building envelopes or solar photovoltaics and heating/cooling systems, using mathematical models and performance analysis to discuss thermal management aspects for net-zero energy buildings and zero-carbon community concepts. The volume then delves into practical application of the most advanced, artificial intelligence-powered tools for system modeling and simulation, demand-side management control strategies, and metaheuristic optimization approaches. It finally concludes with an overview of technical challenges and emerging research areas which evidence academic and industry communities’ persistent interest in the future directions of topics interconnected with the sustainable development of the built environment.

Latent Heat Storage for Energy-Efficient Buildings and Zero-Carbon Communities

A Biography

Friction

Unleashing the Power of Two-Dimensional Materials for Clean Energy

MXene in Hydrogen Technology

Game Histories

Balls, Walls, and Bodies in Games and Play

Bounce

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

Elsevier Series in Advanced Ceramic Materials

Additive Manufacturing of Advanced Ceramic Materials

Numerical Methods-Based Approaches

Fatigue Damage in Metals

Micro & Nano Technologies

Applications of Nanotechnologies in Biomedicine, Agriculture, and the Environment

Additive Manufacturing of Polymeric Materials for Energy Storage Applications

Handbook of Optical Ceramics

This graduate textbook and professional guide introduces system identification methods of SHM. Both parametric and non-parametric methods are formulated in the time or frequency domain. It also covers state and parameter identification, identifying behavior beyond the elastic region, and non-stationarity. Along with Python code.

This graduate textbook and professional guide introduces system identification methods of SHM. Both parametric and non-parametric methods are formulated in the time or frequency domain. It also covers state and parameter identification, identifying behavior beyond the elastic region, and non-stationarity. Along with Python code.

A Primer

Structural System Identification and Health Monitoring

Green Protocols

Ionic Liquids in Biomass Processing

Sustainable Carbon Dots in Food Packaging

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

Weitere Titel zum Thema