Metal Matrix Composites : Advances in Processing Methods, Machinability Studies and Applications

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Metal Matrix Composites : Advances in Processing Methods, Machinability Studies and Applications

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  • 製本 Hardcover:ハードカバー版/ページ数 198 p.
  • 言語 ENG
  • 商品コード 9781032385235
  • DDC分類 620.16

Full Description

With a focus on advances in metal matrix composite (MMC) fabrications from a theoretical and experimental perspective, this book describes the recent developments in the manufacturing of MMCs, various processing methods and parameters, mechanical properties and synthesis of MMCs. It deals with several multi-criteria decision-making techniques suggested to choose the best materials for application and the effects of reinforcement on chip formation, tool wear and part quality during the machining.

Features:




Discusses modeling of metal matrix composites (MMC) and fabrication of hybrid MMCs



Covers advanced characterization studies of nanocomposites



Reviews high-temperature applications and cobalt-nickel combination materials



Provides inputs regarding optimal selection of percentage of reinforcement materials for MMC's fabrication based on industrial requirements



Focuses on aerospace and automotive industries

This book is aimed at graduate students, researchers and professionals in micro/nanoscience and technology, mechanical engineering, industrial engineering, metallurgy and composites.

Contents

1. Processing and Characterization of Aluminum Metal Matrix Composites by Stir Casting with Carbide Reinforcement 2. Study on Characteristic Evaluation and Industrial Applications of Metal and Nano-Metal Matrix Composites 3. Optimization Studies on Al/LaPO4 Composite Using Grey Relational Analysis 4. Drilling of Hybrid MMCs Using DLC- and HC-Coated Tools 5. Multi-Criteria Decision Making Approach for Selection of a Base Metal for Al-Based Metal Matrix Composite? 6. Study of Machinability, Mechanical, and Tribological Properties of Hybrid Al-MMC 7. Erosion Studies on Al/TiC/RHA Reinforced Hybrid Composites through Response Surface Method 8. Machining Studies on AlSi7+63% SiC Composite Using Machine Learning Technique 9. Experimental Investigation on Interfacial Microstructure and Mechanical Properties of Al7075-White Bubble Alumina Syntactic Form 10. Investigation of the Humping Phenomenon in Wire Arc Additive Manufacturing

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