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Full Description
This book provides a thorough overview of the fundamental principles, design strategies, fabrication techniques, characterization methods, and diverse applications of thin films and advancements therein. With a balance between theoretical concepts, practical applications, and computational techniques, the book offers a holistic understanding of the subject matter, paving the way for students, researchers, and engineers to guide through fabrication and characterization of thin films backed by real-world examples.
• Covers optimization of coatings tailored to specific applications, coupled with their industry-focused approach that incorporates real-world examples
• Discusses thin films in detail, including a thorough examination of deposition and analysis methods
• Explores emerging topics related to the endurance of coatings, highlighting green technologies and life cycle assessment
• Reviews the incorporation of machine learning and evolutionary algorithms for thin film optimization
• Delves into current innovations, recent models, and substantial research, with a focus on practical use cases
This book is aimed at researchers and graduate students in materials science, characterization, and thin films.
Contents
Chapter 1: An Overview of Thin-Film Coating Technologies
Chapter 2: Advanced Deposition Techniques and Industrial Applications of Thin Films
Chapter 3: Advances in Synthesis, Mechanical Properties, and Corrosion Resistance of Metallic Glass Coatings
Chapter 4: Defects in Thin Films- Part I
Chapter 5: Defects in Thin Films- Part II
Chapter 6: Hydrophobicity and Hydrophilicity in thin films: Nature's inspiration to application
Chapter 7: Spray pyrolysis deposition of thin films-A comprehensive review
Chapter 8: Application of Smart Coatings in Aerospace and Oil and Gas Sectors
Chapter 9: Evaluation of the mechanical performance of TiN thin film Cr and CrN interlayer
Chapter 10: Structural and Physiomechanical evaluation of AlCr(Si)N thin films Coatings
Chapter 11: Anti-wear and bacterial adhesion properties of Si doped AlCrN thin films for biomedical application
Chapter 12: Multi-Scale Signal and Machine Learning-Driven Classification of Wear Regimes in Si-DLC/CFR-PEEK Tribosystems under Dry Sliding Conditions
