Machine Learning Algorithm For Fatigue Fields In Additive Manufacturing

Author : Mustafa Mamduh Mustafa Awd
Publisher : Springer Nature
Page : 289 pages
File Size : 46,9 Mb
Release : 2023-01-01
Category : Computers
ISBN : 9783658402372

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Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing by Mustafa Mamduh Mustafa Awd Pdf

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.

Author : Sharlotte L. B. Kramer
Publisher : Springer Nature
Page : 101 pages
File Size : 46,9 Mb
Release : 2024-06-15
Category : Electronic
ISBN : 9783031504747

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Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 by Sharlotte L. B. Kramer Pdf

Author : Gurminder Singh,Farhad Imani,Asim Tewari,Sushil Mishra
Publisher : Elsevier
Page : 0 pages
File Size : 52,7 Mb
Release : 2024-11-01
Category : Technology & Engineering
ISBN : 9780443221460

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Machine Learning for Powder-Based Metal Additive Manufacturing by Gurminder Singh,Farhad Imani,Asim Tewari,Sushil Mishra Pdf

Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs. The book combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications. The book covers ML for design in AM, ML for materials development and intelligent monitoring in metal AM, both geometrical deviation and physics informed machine learning modeling, as well as data-driven cost estimation by ML. In addition, optimization for slicing and orientation, ML to create models of materials for AM processes, ML prediction for better mechanical and microstructure prediction, and feature extraction by sensing data are all covered, and each chapter includes a case study. Covers machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs Combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications Discusses algorithm development of ML for metal AM, metal AM process modeling and optimization, mathematical and simulation studies of metal AM, and pre- and post-processing smart methods for metal AM

Author : Vinod Kushvaha,M. R. Sanjay,Priyanka Madhushri,Suchart Siengchin
Publisher : Springer Nature
Page : 202 pages
File Size : 49,8 Mb
Release : 2022-11-29
Category : Technology & Engineering
ISBN : 9789811962783

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Machine Learning Applied to Composite Materials by Vinod Kushvaha,M. R. Sanjay,Priyanka Madhushri,Suchart Siengchin Pdf

This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of material composite modelling and design.

Author : Jie Yang,Da Chen,Kang Gao
Publisher : Elsevier
Page : 481 pages
File Size : 45,6 Mb
Release : 2023-10-16
Category : Technology & Engineering
ISBN : 9780443154263

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Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures by Jie Yang,Da Chen,Kang Gao Pdf

Functionally Graded Porous Structures: Applied Methods in Mechanical Performance Evaluation, Machine Learning Aided Analysis, and Additive Manufacturing presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. The book is divided into three key sections. The first section begins with an introduction to functionally graded porous structures and details the effects of graded porosities on bending, buckling, and vibration behaviours within the framework of Timoshenko beam theory, and first-order shear deformable plate theory. The second section is focused on the usage of machine learning techniques for smart structural analysis of porous components as an evolution from traditional engineering, methods. The third section focuses on additive manufacturing of structures with graded porosities for end-user applications. The book follows a clear path from design and analysis to fabrication and applications. Readers will find extensive knowledge and examples of functionally graded porous structures that are suitable for innovative research and market needs, with applications relevant to a diverse range of industrial fields, including mechanical, structural, aerospace, energy, and biomedical engineering. Provides a comprehensive picture of novel porous materials and advanced lightweight structural technologies that are applicable to a diverse range of industrial sectors Updated with the most recent advances in the field of porous structures Goes beyond traditional structural aspects and covers novel evaluation strategies, machine learning aided analysis, and additive manufacturing Covers weight management strategies for structural components to achieve multifunctional purposes Addresses key issues in the design of lightweight structures, offering significant environmental benefits

Author : Filippo Berto,Anton Du Plessis
Publisher : Elsevier
Page : 321 pages
File Size : 48,6 Mb
Release : 2023-10-01
Category : Technology & Engineering
ISBN : 9780323998314

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Fatigue in Additive Manufactured Metals by Filippo Berto,Anton Du Plessis Pdf

Fatigue in Additive Manufactured Metals provides a brief overview of the fundamental mechanics involved in metal fatigue and fracture, assesses the unique properties of additive manufactured metals, and provides an in-depth exploration of how and why fatigue occurs in additive manufactured metals. Additional sections cover solutions for preventing it, best-practice design methods, and more. The book recommends cutting-edge evidence-based approaches for designing longer lasting additive manufactured metals, discusses the latest trends in the field and the various aspects of low cycle fatigue, and looks at both post-treatment and manufacturing process-based solutions. By providing international standards and testing procedures of additive manufactured metal parts and discussing the environmental impacts of additive manufacturing of metals and outlining simulation and modeling scenarios, this book is an ideal resource for users in industry. Discusses the underlying mechanisms controlling the fatigue behavior of additive manufactured metal components as well as how to improve the fatigue life of these components via both manufacturing processes and post-processing Studies the variability of properties in additive manufactured metals, the effects of different process conditions on mechanical reliability, probabilistic versus deterministic aspects, and more Outlines nondestructive failure analysis techniques and highlights the effects of unique microstructural characteristics on fatigue in additive manufactured metals

Author : Rachael C Tighe,John Considine,Sharlotte L.B. Kramer,Tom Berfield
Publisher : Springer Nature
Page : 96 pages
File Size : 41,5 Mb
Release : 2023-01-01
Category : Technology & Engineering
ISBN : 9783031174759

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Thermomechanics & Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive & Advanced Manufactured Materials, Volume 6 by Rachael C Tighe,John Considine,Sharlotte L.B. Kramer,Tom Berfield Pdf

Thermomechanics & Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive & Advanced Manufactured Materials, Volume 6 of the Proceedings of the 2022 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the sixth volume of six from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Test Design and Inverse Method Algorithms Inverse Problems: Virtual Fields Method Material Characterizations Using Thermography Fatigue, Damage & Fracture Evaluation Using Infrared Thermography Residual Stress Mechanics of Additive & Advanced Manufactured Materials

Author : Mutahar Safdar,Guy Lamouche,Padma Polash Paul,Gentry Wood,Yaoyao Fiona Zhao
Publisher : Springer Nature
Page : 151 pages
File Size : 46,5 Mb
Release : 2023-06-01
Category : Technology & Engineering
ISBN : 9783031321542

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Engineering of Additive Manufacturing Features for Data-Driven Solutions by Mutahar Safdar,Guy Lamouche,Padma Polash Paul,Gentry Wood,Yaoyao Fiona Zhao Pdf

This book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal processing, computer vision, and more, the book covers all the essential techniques for preparing AM data. Readers willl explore the key physical and synthetic sources of AM data throughout the life cycle of the process and learn about feature engineering techniques, pipelines, and resulting features, as well as their applications at each life cycle phase. With a focus on featurization efforts from reviewed literature, this book offers tabular summaries for major data sources and analyzes feature spaces at the design, process, and structure phases of AM to uncover trends and insights specific to feature engineering techniques. Finally, the book discusses current challenges and future directions, including AI/ML/DL readiness of AM data. Whether you're an expert or newcomer to the field, this book provides a broader summary of the status and future of data-driven AM technology.

Author : Raman Kumar,Sita Rani,Sehijpal Singh Khangura
Publisher : CRC Press
Page : 250 pages
File Size : 40,5 Mb
Release : 2023-11-03
Category : Technology & Engineering
ISBN : 9781000986198

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Machine Learning for Sustainable Manufacturing in Industry 4.0 by Raman Kumar,Sita Rani,Sehijpal Singh Khangura Pdf

The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.

Author : Hamid Reza Vanaei,Sofiane Khelladi,Abbas Tcharkhtchi
Publisher : John Wiley & Sons
Page : 325 pages
File Size : 48,9 Mb
Release : 2024-04-30
Category : Science
ISBN : 9781394150304

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Industrial Strategies and Solutions for 3D Printing by Hamid Reza Vanaei,Sofiane Khelladi,Abbas Tcharkhtchi Pdf

Multidisciplinary, up-to-date reference on 3D printing from A to Z, including material selection, in-process monitoring, process optimization, and machine learning Industrial Strategies and Solutions for 3D Printing: Applications and Optimization offers a comprehensive overview of the 3D printing process, covering relevant materials, control factors, cutting-edge concepts, and applications across various industries such as jewelry, footwear, industrial design, architecture, engineering, dental, medical, and others. While many published books and review papers have explored various aspects of 3D printing, they often approach the topic from a specific perspective. This book instead views 3D printing as a multidisciplinary field, extending beyond its rapid growth into emerging areas like data science and artificial intelligence. Written by three highly qualified academics with significant research experience in related fields, Industrial Strategies and Solutions for 3D Printing: Applications and Optimization includes information on: Role of various 3D printing features in optimization and how machine learning can be used to further enhance optimization processes Specific optimization techniques including physico-chemical, mechanical, thermal, and rheological characteristics Steps for 3D printing when going from the lab to industry in fields such as biology, turbomachinery, automotive, and aerospace Challenges related to the controlling factors in the optimization purpose, along with in-process monitoring of 3D printing for best results and output Industrial Strategies and Solutions for 3D Printing: Applications and Optimization is a valuable and up-to-date reference on the subject for researchers, scholars, and professionals in biomedical, chemical, and mechanical engineering seeking to understand foundational concepts related to the free-form fabrication approach and how to achieve optimal results.

Author : Eric Ott,Xingbo Liu,Joel Andersson,Zhongnan Bi,Kevin Bockenstedt,Ian Dempster,Jon Groh,Karl Heck,Paul Jablonski,Max Kaplan,Daisuke Nagahama,Chantal Sudbrack
Publisher : Springer
Page : 1118 pages
File Size : 44,9 Mb
Release : 2018-05-12
Category : Technology & Engineering
ISBN : 9783319894805

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Proceedings of the 9th International Symposium on Superalloy 718 & Derivatives: Energy, Aerospace, and Industrial Applications by Eric Ott,Xingbo Liu,Joel Andersson,Zhongnan Bi,Kevin Bockenstedt,Ian Dempster,Jon Groh,Karl Heck,Paul Jablonski,Max Kaplan,Daisuke Nagahama,Chantal Sudbrack Pdf

This technical meeting will focus on Alloy 718 and Superalloys in this class relative to alloy and process development, production, product applications, trends and the development of advanced modeling tools. The symposium provides an opportunity for authors to present technical advancements relative to a broad spectrum of areas while assessing their impact on related fields associated with this critical alloy group. There are continuing innovations relative to these alloys as well as novel processing techniques which continue to extend applications in very challenging environments ranging from corrosion resistance in the deep sea to high-stressed space applications.

Author : Yukitaka Murakami
Publisher : Elsevier
Page : 384 pages
File Size : 50,8 Mb
Release : 2002-04-29
Category : Technology & Engineering
ISBN : 0080496563

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Metal Fatigue: Effects of Small Defects and Nonmetallic Inclusions by Yukitaka Murakami Pdf

Metal fatigue is an essential consideration for engineers and researchers who are looking at factors that cause metals to fail through stress, corrosion, etc. This is an English translation of a book originally published in Japan in 1993, with an additional two chapters on the fatigue failure of steels and the effect of surface roughness on fatigue strength. The methodology is based on important and reliable results and may be usefully applied to other fatigue problems not directly treated in this book.

Author : Amit Bandyopadhyay,Susmita Bose
Publisher : CRC Press
Page : 559 pages
File Size : 45,8 Mb
Release : 2015-09-08
Category : Technology & Engineering
ISBN : 9781498766708

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Additive Manufacturing by Amit Bandyopadhyay,Susmita Bose Pdf

The field of additive manufacturing has seen explosive growth in recent years due largely in part to renewed interest from the manufacturing sector. Conceptually, additive manufacturing, or industrial 3D printing, is a way to build parts without using any part-specific tooling or dies from the computer-aided design (CAD) file of the part. Today, mo

Author : Zay Jeffries,Robert Samuel Archer
Publisher : Unknown
Page : 492 pages
File Size : 42,7 Mb
Release : 1924
Category : Metals
ISBN : UOM:39015067211261

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The Science of Metals by Zay Jeffries,Robert Samuel Archer Pdf

Author : Eliahu Zahavi
Publisher : CRC Press
Page : 254 pages
File Size : 43,7 Mb
Release : 2019-01-22
Category : Technology & Engineering
ISBN : 9781351448819

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Fatigue Design by Eliahu Zahavi Pdf

Modern analytical theories of fatigue coupled with a knowledge of processing effects on metals make up the sound basis for designing machine parts that are free from unexpected failure. Fatigue Design: Life Expectancy of Machine Parts provides the information and the tools needed for optimal design. It highlights practical approaches for effectively solving fatigue problems, including minimizing the risk of hidden perils that may arise during production processes or from exposure to the environment.The material is presented with a dual approach: the excellent coverage of the theoretical aspects is accented by practical illustrations of the behavior of machine parts. The theoretical approach combines the fundamentals of solid mechanics, fatigue analysis, and crack propagation. The chapters covering fatigue theories are given special emphasis, starting with the basics and progressing to complicated multiaxial nonlinear problems.The practical approach concentrates on the effects of surface processing on fatigue life and it illustrates many faceted fatigue problems taken from case studies. The solutions demonstrate the authors' detailed analyses of failure and are intended to be used as preventive guidelines. The cases are a unique feature of the book. The numerical method used is the finite element method, and is presented with clear explanations and illustrations.Fatigue Design: Life Expectancy of Machine Parts is an extremely valuable tool for both practicing design engineers and engineering students.