Modeling Characterization And Processing Of Smart Materials
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Modeling, Characterization, and Processing of Smart Materials
The development, processing, and applications of smart materials presents many challenges, including performance correlations to the nature of their reinforcement and the sustainability of such materials through their recyclability, durability, and reparability. Experts have identified the challenge of achieving sustainable development and in this book highlight how smart materials can provide a solution to the problem. It emphasizes the multidisciplinary nature of smart materials and their potential for enhancing product functionalities and capabilities in different sectors, including the biomedical, pharmaceutical, aerospace, construction, automotive, and food industries. Modeling, Characterization, and Processing of Smart Materials proposes a comprehensive guide to addressing the challenges associated with smart materials, including the need for optimization and sustainability, and provides various nature-inspired algorithms, computational and simulation approaches, and artificial intelligence-based strategies for developing innovative smart materials. It also presents potential solutions for the limitations of smart materials and emphasizes the role of Industry 4.0 in maintaining their sustainability. Overall, this book offers a valuable problem-solution perspective on the development and applications of smart materials, making it an essential reference guide for academic researchers and industrial engineers in the fields of material science, chemical engineering, and environmental engineering.
Modeling, Analysis, and Control of 3D Printing Processes
Three-dimensional (3D) printing, also known as additive manufacturing, revolutionizes modern manufacturing by enabling rapid, customized, and complex part fabrication across various industries. To ensure consistent product quality there is a need for advanced techniques in modeling, analysis, and control of 3D printing processes. Modeling helps in understanding the intricate physical phenomena involved, like heat transfer, material flow, and phase changes, while analytical methods predict outcomes and identify defects. Control systems minimize errors and ensure process stability. Further exploration into this field may improve reliability, efficiency, and scalability in 3D printing technologies. Modeling, Analysis, and Control of 3D Printing Processes explores the key aspects involved in the modeling, analysis, and control of 3D printing processes. It examines modeling, simulation, analysis, and control mechanisms, including the intricacies of the printing process, and analyzes the associated challenges, implementing effective control strategies for advanced 3D printing. This book covers topics such as circular economy, material recycling, and sensor technologies, and is a useful resource for engineers, business owners, manufacturers, academicians, researchers, and scientists.
Emerging Trends in Industrial Engineering and Management
Emerging trends in Industrial Engineering and Management (IEM) refer to the new and transformative developments, practices, and technologies that are currently gaining prominence in the field of industrial engineering and management. Trends in Industrial Engineering and Management can encompasses a wide range of topics such as utilization of Industry 4.0 strategies like Industrial Internet of Things, artificial Intelligence, theoretical, numerical, computational approaches to model the methods and process of IEM. This book: Provides a comprehensive discussion of industrial engineering and management Includes principles of continuous improvement, encouraging readers to adopt a mind-set of on-going optimization and innovation in industrial engineering and management Presents multi-objective optimization, stochastic optimization, and metaheuristic optimization algorithms for solving complex optimization problems in industrial engineering Aligns with the needs of various industries, addressing specific challenges faced by manufacturing, healthcare, logistics, service, and other sectors Highlights the importance of using digital technological tools like the Internet of Things, Industrial Internet of Things, big data, and artificial intelligence in practices of industrial management to enhance competitiveness, decision-making, and operations efficiency It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, operation management, industrial management, quality engineering, and engineering management.