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Author: The Minerals, Metals & Materials Society
Publisher: Springer Nature
Published: 2020-02-13
Total Pages: 2046
ISBN-13: 3030362965
DOWNLOAD EBOOKThis collection presents papers from the 149th Annual Meeting & Exhibition of The Minerals, Metals & Materials Society.
Author: The Minerals, Metals & Materials Society
Publisher: Springer Nature
Published: 2021-02-23
Total Pages: 1062
ISBN-13: 3030652610
DOWNLOAD EBOOKThis collection presents papers from the 150th Annual Meeting & Exhibition of The Minerals, Metals & Materials Society.
Author: The Minerals, Metals & Materials Society
Publisher: Springer Nature
Published: 2023-02-06
Total Pages: 1349
ISBN-13: 3031225244
DOWNLOAD EBOOKThis collection presents papers from the 152nd Annual Meeting & Exhibition of The Minerals, Metals & Materials Society.
Author: Kun Zhou
Publisher: Springer Nature
Published: 2022-10-31
Total Pages: 334
ISBN-13: 3031047214
DOWNLOAD EBOOKThis book focuses on the advances of additive manufacturing in the applications of wearable electronics, energy storage, biomedical implants and devices, drug delivery, and technologies for 4D printing, large-scale printing, and ceramics printing. It provides timely insights into the materials, functionalities, and applications of additive manufacturing.
Author: Samuel Wagstaff
Publisher: Springer Nature
Published: 2024
Total Pages: 1200
ISBN-13: 3031503082
DOWNLOAD EBOOKZusammenfassung: The Light Metals symposia at the TMS Annual Meeting & Exhibition present the most recent developments, discoveries, and practices in primary aluminum science and technology. The annual Light Metals volume has become the definitive reference in the field of aluminum production and related light metal technologies. The 2024 collection includes contributions from the following symposia: · Alumina & Bauxite · Aluminum Alloys: Development and Manufacturing · Aluminum Reduction Technology · Electrode Technology for Aluminum Production · Melt Processing, Casting and Recycling · Scandium Extraction and Use in Aluminum Alloys
Author: Nirupam Chakraborti
Publisher: CRC Press
Published: 2022-09-15
Total Pages: 319
ISBN-13: 1000635821
DOWNLOAD EBOOKDue to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. Features: Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning. Include details on both algorithms and their applications in materials science and technology. Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies. Thoroughly discusses applications of pertinent strategies in metallurgy and materials. Provides overview of the major single and multi-objective evolutionary algorithms. This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials.
Author: Sushanta K. Sethi
Publisher: Springer Nature
Published:
Total Pages: 408
ISBN-13: 9819708885
DOWNLOAD EBOOKAuthor: Azman Ismail
Publisher: Springer Nature
Published: 2022-01-10
Total Pages: 398
ISBN-13: 3030899926
DOWNLOAD EBOOKThis book presents the outcomes from the 2nd International Conference on Marine and Advanced Technologies 2021 (Icmat2021) which was organized by the Research and Innovation section, University Kuala Lumpur - Malaysian Institute of Marine Engineering Technology. The theme “Propelling to the Innovative Idea” highlights prominence of recent developments in marine and advanced technologies in the field of marine application, maritime operation, energy and reliability, advanced materials and applied science. This online conference provided a platform for presentations and discussions at the local and international level between educationists, researchers, students, and industrialists. Furthermore, it created opportunities to establish networks and meet experts in addition to exchange of up-to-date knowledge in the field. This book is the up-to-date reference, especially to those who want to learn and explore more about the latest developments and technologies of maritime industries.
Author: Alexander McLean
Publisher: Elsevier
Published: 2024-08-30
Total Pages: 858
ISBN-13: 0323854818
DOWNLOAD EBOOKTreatise on Process Metallurgy: Volume Four, Industrial Production provides academics with the fundamentals of the manufacturing of metallic materials, from raw materials into finished parts or products. In these fully updated volumes, coverage is expanded into four volumes, including Process Fundamentals, encompassing process fundamentals, structure and properties of matter; thermodynamic aspects of process metallurgy, and rate phenomena in process metallurgy; Processing Phenomena, encompassing interfacial phenomena in high temperature metallurgy, metallurgical process phenomena, and metallurgical process technology; Metallurgical Processes, encompassing mineral processing, aqueous processing, electrochemical material and energy processes, and iron and steel technology, non-ferrous process principles and production technologies, and more. The work distills the combined academic experience from the principal editor and the multidisciplinary four-member editorial board. Provides the entire breadth of process metallurgy in a single work Includes in-depth knowledge in all key areas of process metallurgy Approaches the topic from an interdisciplinary perspective, providing broad range coverage on topics
Author: Mustafa Mamduh Mustafa Awd
Publisher: Springer Nature
Published: 2023-01-01
Total Pages: 289
ISBN-13: 3658402377
DOWNLOAD EBOOKFatigue failure of structures used in transportation, industry, medical equipment, and electronic components needs to build a link between cutting-edge experimental characterization and probabilistically grounded numerical and artificially intelligent tools. The physics involved in this process chain is computationally prohibitive to comprehend using traditional computation methods. Using machine learning and Bayesian statistics, a defect-correlated estimate of fatigue strength was developed. Fatigue, which is a random variable, is studied in a Bayesian-based machine learning algorithm. The stress-life model was used based on the compatibility condition of life and load distributions. The defect-correlated assessment of fatigue strength was established using the proposed machine learning and Bayesian statistics algorithms. It enabled the mapping of structural and process-induced fatigue characteristics into a geometry-independent load density chart across a wide range of fatigue regimes.
