Proceedings of the 10th International Conference on Fracture Fatigue and Wear
Proceedings of the 10th International Conference on Fracture Fatigue and Wear

Author: Magd Abdel Wahab

Publisher: Springer Nature

Published: 2022-12-02

Total Pages: 124

ISBN-13: 9811978085

DOWNLOAD EBOOK

This book gathers a selection of peer-reviewed papers presented at the 10th International Conference on Fracture Fatigue and Wear (FFW 2022), held in the city of Ghent, Belgium, on August 2–3, 2022. The contributions, prepared by international scientists and engineers, cover the latest advances in and innovative applications of fracture mechanics, fatigue of materials, tribology, and wear of materials. In addition, they discuss industrial applications and cover theoretical and analytical methods, numerical simulations, and experimental techniques. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of fracture fatigue and wear.

Proceedings of the 8th International Conference on Fracture, Fatigue and Wear
Proceedings of the 8th International Conference on Fracture, Fatigue and Wear

Author: Magd Abdel Wahab

Publisher: Springer Nature

Published: 2021-01-12

Total Pages: 756

ISBN-13: 9811598932

DOWNLOAD EBOOK

This proceedings gather a selection of peer-reviewed papers presented at the 8th International Conference on Fracture Fatigue and Wear (FFW 2020), held as a virtual conference on 26–27 August 2020. The contributions, prepared by international scientists and engineers, cover the latest advances in and innovative applications of fracture mechanics, fatigue of materials, tribology, and wear of materials. In addition, they discuss industrial applications and cover theoretical and analytical methods, numerical simulations and experimental techniques. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of fracture fatigue and wear.

Proceedings of the 7th International Conference on Fracture Fatigue and Wear
Proceedings of the 7th International Conference on Fracture Fatigue and Wear

Author: Magd Abdel Wahab

Publisher: Springer

Published: 2018-07-14

Total Pages: 831

ISBN-13: 9811304114

DOWNLOAD EBOOK

These proceedings gather a selection of peer-reviewed papers presented at the 7th International Conference on Fracture Fatigue and Wear (FFW 2018), held at Ghent University, Belgium on 9–10 July 2018. The contributions, prepared by international scientists and engineers, cover the latest advances in and innovative applications of fracture mechanics, fatigue of materials, tribology and wear of materials. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of fracture fatigue and wear.

Proceedings of the 8th International Conference on Fracture, Fatigue and Wear
Proceedings of the 8th International Conference on Fracture, Fatigue and Wear

Author: Magd Abdel Wahab

Publisher:

Published: 2021

Total Pages: 0

ISBN-13: 9789811598944

DOWNLOAD EBOOK

This proceedings gather a selection of peer-reviewed papers presented at the 8th International Conference on Fracture Fatigue and Wear (FFW 2020), held as a virtual conference on 26-27 August 2020. The contributions, prepared by international scientists and engineers, cover the latest advances in and innovative applications of fracture mechanics, fatigue of materials, tribology, and wear of materials. In addition, they discuss industrial applications and cover theoretical and analytical methods, numerical simulations and experimental techniques. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of fracture fatigue and wear.

Mechanics of Biomaterials
Mechanics of Biomaterials

Author: Lisa A. Pruitt

Publisher: Cambridge University Press

Published: 2011-10-20

Total Pages: 699

ISBN-13: 0521762219

DOWNLOAD EBOOK

Combining materials science, mechanics, implant design and clinical applications, this self-contained text provides a complete grounding to the field.

Advances in Machine Tool Design and Research 1969
Advances in Machine Tool Design and Research 1969

Author: S. A. Tobias

Publisher: Elsevier

Published: 2015-12-04

Total Pages: 744

ISBN-13: 148314593X

DOWNLOAD EBOOK

Advances in Machine Tool Design and Research 1969 focuses on the processes, methodologies, and techniques in the design of machine tools. The book contains the proceedings of the 10th International M.T.D.R. Conference held at the University of Manchester in September 1969. The selection first discusses examples and problems in the implementation of modern design features on large machine tools and development of numerically controlled conventional turning machines. The book reviews the theory and practice of fluid dampers in machine tools, including eccentricity of cylindrical film dampers, border effect, and vapor and gas pressure. The text also discusses tool life vibrations of grinding wheels as a function of vibration amplitude; thermal deformations of gear-cutting machines; thermal behavior of machine tools; and the effects of thermal deformation on the cylindrical accuracy in grinding process. The book also takes a look at the trends in manufacturing systems concepts and technical criteria to be used when purchasing machine tools. The selection is a dependable reference for readers interested in machine tool design.

Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing
Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing

Author: Mustafa Mamduh Mustafa Awd

Publisher: Springer Nature

Published: 2023-01-01

Total Pages: 289

ISBN-13: 3658402377

DOWNLOAD EBOOK

Fatigue 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.