Modeling, Characterization, and Processing of Smart Materials

Modeling, Characterization, and Processing of Smart Materials

Ajay ., Parveen ., Ashish Kumar Srivastava, Vikas Goyat
Projected Release Date: June, 2023|Copyright: © 2023 |Pages: 320
DOI: 10.4018/978-1-6684-9224-6
ISBN13: 9781668492246|ISBN10: 1668492245|EISBN13: 9781668492260
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Aerospace
  • Artificial Intelligence-Based Strategies
  • Automotive
  • Biomedical
  • Construction
  • Durability
  • Food Industry
  • Industry 4.0
  • Multidisciplinary
  • Nature-Inspired Algorithms
  • Pharmaceutical
  • Recyclability
  • Reinforcement
  • Reparability
  • Smart Materials
  • Sustainability
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