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Produktbild: Metal Additive Manufacturing
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Metal Additive Manufacturing Recent Progress on Processing and Advancement

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Beschreibung

Metal Additive Manufacturing: Recent Progress on Processing and Advancement presents an extensive exploration and in-depth analysis of the principles, techniques, advancements, and applications of metal additive manufacturing. It aims to bridge the knowledge gap between fundamental principles and the...

Beschreibung

Metal Additive Manufacturing: Recent Progress on Processing and Advancement presents an extensive exploration and in-depth analysis of the principles, techniques, advancements, and applications of metal additive manufacturing. It aims to bridge the knowledge gap between fundamental principles and the latest advancements in the field.

The book also covers simulation tools and techniques used to predict and optimize the outcomes of metal additive manufacturing processes.

Key features of the book include:

· A comprehensive discussion on optimizing process parameters, including techniques for enhancing production efficiency and product quality

· In-depth case studies showcasing real-world applications of metal additive manufacturing across various industries, such as aerospace, automotive, and healthcare

· Coverage of the integration of artificial intelligence, machine learning, and deep learning for process monitoring, control, and optimization in metal additive manufacturing

· A discussion of data-driven modelling for metal additive manufacturing, including predictive modelling using machine learning algorithms

· An explanation of sustainable manufacturing practices and the environmental benefits of metal additive manufacturing, including waste reduction and energy efficiency

The book is primarily written for senior undergraduates, graduate students, and academic researchers in manufacturing engineering, industrial engineering, production engineering, mechanical engineering, aerospace engineering, and materials science.

Portrait

Jyotsna Dutta Majumdar is presently working as a professor in the Department of Metallurgical and Materials Engineering at the Indian Institute of Technology, Kharagpur, India. She is well known internationally for her research contribution in the field of Metallurgical and Materials Engineering with a focus on surface engineering and laser surface processing. She made fundamental contributions to a profound understanding of the metallurgy of rapid solidification of metals under the specific heat input of a laser source. Her works also concern a detailed structure-property correlation of laser surface modified metallic materials with a specific goal to improve certain engineering properties. She has research papers in journals and conferences of national and international repute.

Sumit Kumar Sharma has been working as an Assistant Professor in the Department of Metallurgical Engineering at BIT Sindri, India. His current research area is in the fabrication of micro components through wire arc additive manufacturing process and their characterization, and he continues to work in the field of welding. He has research articles published in reputed international journals and conferences. His research interests include welding, surface treatment, metal additive manufacturing, wear, micro-manufacturing, microstructural, mechanical, electrochemical properties, and texture evaluation.

Amarish Kumar Shukla is working as an assistant professor in the Department of Mechanical Engineering at Madan Mohan Malaviya University of Technology, Gorakhpur, India. His research has focused on the design and development of lightweight metallic foam, composite foam, additive manufacturing, microstructural characterization, deformation, high-temperature oxidation, and hot corrosion of high-temperature materials. He has authored/co-authored publications in peer-reviewed journals and conferences.
Kashif Hasan Kazmi is currently working as an Assistant Professor in the Department of Production and Industrial Engineering, BIT Sindri, India. He has an impressive background in robotics, CAD/CAM, and additive manufacturing, with an extensive portfolio of published work that includes several peer-reviewed scientific articles and book chapters. Currently, he is engaged in advanced research and teaching at BIT Sindri, exploring the diverse areas of research in the integration of AI in additive manufacturing.

Mukesh Chandra is working as an assistant professor in the Department of Production and Industrial Engineering at BIT Sindri, India. His research focuses on the intersection of machine learning and metal additive manufacturing, specifically in the domain of robotic Wire-arc additive manufacturing. He has extensive experience in implementing machine learning algorithms for predictive modeling and quality control in manufacturing applications. He has authored/co-authored more than 25 impactful publications in reputable journals and conferences. His research interests encompass artificial intelligence and machine learning applications in manufacturing, advanced welding processes including A-TIG, Hot-wire TIG, and robotic MIG welding, metal additive manufacturing with a focus on wire-arc additive manufacturing, and sustainable manufacturing.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.04.2027

Abbildungen

schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber Sumit Kumar Sharma + weitere

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.04.2027

Abbildungen

schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber
Verlag Taylor and Francis
Seitenzahl

384

Maße (L/B)

23,4/15,6 cm

Sprache

Englisch

ISBN

978-1-04-112946-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Metal Additive Manufacturing
  • 1. Introduction. 2. Metal Additive Manufacturing: Processes, Materials, and Applications. 3. Metal Additive Manufacturing Technology: Rapid Prototyping and Digital Manufacturing. 4. Metal Additive Manufacturing: State of the Art, Challenges, and Opportunities. 5. Optimization of Process Parameters of the Robotic Wire Arc Additive Manufacturing Process for Thin Structures. 6. Microstructure and Properties of Metal-Additive Manufactured Components. 7. Microstructure and Mechanical Properties Evaluation of a Bi-metallic or Graded Component Developed by using Wire Arc Additive Manufacturing. 8. Development and Repair of Marine Engineering Components by using Wire Arc Additive Manufacturing. 9. Metal Additive Manufacturing: Process Monitoring and Control. 10. Introduction to Artificial Intelligence for Metal Additive Manufacturing. 11. Predictive Modelling using a Machine Learning Algorithm in Metal Additive Manufacturing. 12. Data-driven Modelling for Metal Additive Manufacturing. 13. Multi-fused Sensors Integration and Implementation of Machine Learning for Digital Twin in Metal Additive Manufacturing.