Advanced Computational Methods in Mechanical and Materials Engineering
Techniques and Applications in Engineering and Materials Science
Ashwani Kumar editor Yatika Gori editor Nitesh Dutt editor Yogesh Kumar Singla editor Ambrish Maurya editor
Format:Paperback
Publisher:Taylor & Francis Ltd
Published:8th Oct '24
£45.99
Supplier delay - available to order, but may take longer than usual.
This paperback is available in another edition too:
- Hardback£120.00(9781032052915)
This comprehensive guide explores advanced computational techniques in mechanical and materials engineering, covering key topics and practical applications across various industries.
The book Advanced Computational Methods in Mechanical and Materials Engineering serves as a comprehensive guide to addressing complex engineering challenges through advanced computational techniques. It focuses on mechanical and materials engineering, offering insights into solving geometrical, mathematical, and scientific problems. The content is structured into three main sections: design and fluids, thermal engineering, and materials engineering, ensuring a well-rounded exploration of each area.
Each chapter of Advanced Computational Methods in Mechanical and Materials Engineering includes an extensive literature review, thorough analysis, and discussions on future research directions. Key topics such as computational fluid dynamics, mechanical performance, and design are explored in depth, along with various applications across industries including automotive, aviation, and electronics. This makes the book a valuable resource for both academic and practical applications.
Additionally, the book highlights advanced material applications and innovative manufacturing processes, showcasing the use of novel alloys and their properties. It also delves into specific case studies, such as the fabrication of graphene reinforced magnesium metal matrix for orthopedic applications. The unique problem-solution approach presented in the book includes methodologies, experimental setups, and results validation, making it an essential read for researchers and graduate students in related fields.
ISBN: 9781032064215
Dimensions: unknown
Weight: 630g
328 pages