Application Of Data Mining And Machine Learning Methods To Industrial Heat Treatment Processes For Hardness Prediction
DOWNLOAD
Download Application Of Data Mining And Machine Learning Methods To Industrial Heat Treatment Processes For Hardness Prediction PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Application Of Data Mining And Machine Learning Methods To Industrial Heat Treatment Processes For Hardness Prediction book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Application Of Data Mining And Machine Learning Methods To Industrial Heat Treatment Processes For Hardness Prediction
DOWNLOAD
Author : Lingelbach, Yannick
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-07-24
Application Of Data Mining And Machine Learning Methods To Industrial Heat Treatment Processes For Hardness Prediction written by Lingelbach, Yannick and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with categories.
This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework. - This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework.
Understanding Degradation Phenomena In Solid Oxide Fuel Cell Anodes By Phase Field Modeling And Analytics
DOWNLOAD
Author : Hoffrogge, Paul Wilhelm
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-10-09
Understanding Degradation Phenomena In Solid Oxide Fuel Cell Anodes By Phase Field Modeling And Analytics written by Hoffrogge, Paul Wilhelm and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with categories.
The current work analyzes degradation effects in solid-oxide fuel cell anodes with the phase-field method. A model extension for interface diffusion is formulated and calibrated. Large-scale 3D-simulations provide interesting insights into phenomena at the microscale which are responsible for the degradation
Artificial Intelligence And Machine Learning In The Thermal Spray Industry
DOWNLOAD
Author : Lalit Thakur
language : en
Publisher: CRC Press
Release Date : 2023-12-01
Artificial Intelligence And Machine Learning In The Thermal Spray Industry written by Lalit Thakur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Computers categories.
This book details the emerging area of the induction of expert systems in thermal spray technology, replacing traditional parametric optimization methods like numerical modeling and simulation. It promotes, enlightens, and hastens the digital transformation of the surface engineering industry by discussing the contribution of expert systems like Machine Learning (ML) and Artificial Intelligence (AI) toward achieving durable Thermal Spray (TS) coatings. Artificial Intelligence and Machine Learning in the Thermal Spray Industry: Practices, Implementation, and Challenges highlights how AI and ML techniques are used in the TS industry. It sheds light on AI’s versatility, revealing its applicability in solving problems related to conventional simulation and numeric modeling techniques. This book combines automated technologies with expert machines to show several advantages, including decreased error and greater accuracy in judgment, and prediction, enhanced efficiency, reduced time consumption, and lower costs. Specific barriers preventing AI’s successful implementation in the TS industry are also discussed. This book also looks at how training and validating more models with microstructural features of deposited coating will be the center point to grooming this technology in the future. Lastly, this book thoroughly analyzes the digital technologies available for modeling and achieving high-performance coatings, including giving AI-related models like Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) more attention. This reference book is directed toward professors, students, practitioners, and researchers of higher education institutions working in the fields that deal with the application of AI and ML technology.
Intelligent Systems In Production Engineering And Maintenance Iii
DOWNLOAD
Author : Anna Burduk
language : en
Publisher: Springer Nature
Release Date : 2023-09-26
Intelligent Systems In Production Engineering And Maintenance Iii written by Anna Burduk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Technology & Engineering categories.
This book reports on intelligent methods and solutions in engineering production and maintenance. It describes advanced tools for optimizing production processes, increasing their automation, safety and sustainability. Contributions cover different stages of the production process, such as product design, supply chain, and equipment maintenance and safety. This is one of the two volumes based on the 4th International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2023, held on September 13-15, 2023, in Wroclaw, Poland.
Steigerung Der Thermischen Stabilit T Von Warm Und Kaltgewalztem Wolfram Durch Kalium Dotierung F R Die Fusionsenergietechnik
DOWNLOAD
Author : Lied, Philipp
language : de
Publisher: KIT Scientific Publishing
Release Date : 2025-02-11
Steigerung Der Thermischen Stabilit T Von Warm Und Kaltgewalztem Wolfram Durch Kalium Dotierung F R Die Fusionsenergietechnik written by Lied, Philipp and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with categories.
Kaltgewalztes Wolfram mit hohen Umformgraden zeigt eine außergewöhnlich hohe Duktilität. Die dafür nötige ultrafeinkörnige Mikrostruktur ist jedoch thermisch hochgradig instabil. Ein vielversprechender Stabilisierungsansatz bietet sich durch Kalium-Dotierung an, deren Potential im Rahmen dieser Arbeit umfassend analysiert und qualifiziert wurde. K-dotiertes Wolfram könnte die technischen Möglichkeiten thermisch hochbelasteter Komponenten zukünftiger Fusionsreaktoren entscheidend verbessern. - Cold-rolled tungsten with high degrees of deformation exhibits exceptionally high ductility. However, the required ultra-fine-grained microstructure is thermally unstable. A promising stabilization approach is offered by potassium doping, the potential of which was comprehensively analyzed and qualified as part of this work. K-doped tungsten could significantly improve the technical possibilities for components of future fusion reactors under heavy thermal loads.
Herstellung Und Charakterisierung Von Nb Und Ta Al O Verbundwerkstoffen F R Hochtemperaturanwendungen
DOWNLOAD
Author : Kraft, Bastian
language : de
Publisher: KIT Scientific Publishing
Release Date : 2024-11-08
Herstellung Und Charakterisierung Von Nb Und Ta Al O Verbundwerkstoffen F R Hochtemperaturanwendungen written by Kraft, Bastian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-08 with categories.
Grobkörnige refraktäre Nb-/Ta-Al₂O₃-Verbundwerkstoffe mit mehrskaligem Aufbau sind ein neuartiger Lösungsansatz im Bereich der Hochtemperaturanwendungen. Als Grundlage für die Etablierung dieser Werkstoffe werden in dieser Arbeit mittels Field Assisted Sintering (FAST) hergestellte Verbundwerkstoffe untersucht, um den Einfluss der Materialzusammensetzung und der Partikelgrößenverteilung der Ausgangspulver auf die strukturellen, elektrischen und mechanischen Werkstoffeigenschaften zu analysieren. - Newly designed coarse-grained Nb-/Ta-Al₂O₃ refractory composite materials with multi-scale structure are potential candidates for high-temperature applications. As a basis, this work deals with the synthesis of composites using Field Assisted Sintering (FAST) to get a better understanding of both the influence of material composition and the particle size distribution of the starting powders on structural, electrical and mechanical properties.
Using Traditional Design Methods To Enhance Ai Driven Decision Making
DOWNLOAD
Author : Nguyen, Tien V. T.
language : en
Publisher: IGI Global
Release Date : 2024-01-10
Using Traditional Design Methods To Enhance Ai Driven Decision Making written by Nguyen, Tien V. T. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Computers categories.
In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
Efficient Processing Of Deep Neural Networks
DOWNLOAD
Author : Vivienne Sze
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-06-24
Efficient Processing Of Deep Neural Networks written by Vivienne Sze and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-24 with Computers categories.
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of the DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as a formalization and organization of key concepts from contemporary works that provides insights that may spark new ideas.
Titanium Alloys
DOWNLOAD
Author : Jan Sieniawski
language : en
Publisher: BoD – Books on Demand
Release Date : 2013-05-15
Titanium Alloys written by Jan Sieniawski and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-15 with Technology & Engineering categories.
The book contains six chapters and covers topics dealing with biomedical applications of titanium alloys, surface treatment, relationships between microstructure and mechanical and technological properties, and the effect of radiation on the structure of the titanium alloys.
Magnesium Technology
DOWNLOAD
Author : Horst E. Friedrich
language : en
Publisher: Springer Science & Business Media
Release Date : 2006
Magnesium Technology written by Horst E. Friedrich and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Science categories.
In this book the authors present the current state of both research and technological application of magnesium. In particular, casting and wrought alloys are presented in Chapter 5, followed by a large chapter dedicated to fabrication methods. Corrosion and Protection are treated in Chapter 7. Chapter 8 discusses Engineering Requirements, Strategies and Examples for automobiles in Europe, USA, Asia and Pacific and also for Aerospace and Consumer Articles. Chapter 10 is dedicated to recycling. The experience of authors from seven countries has been combined to produce this book. The book addresses materials researchers as well as design engineers. TOC:Introduction.- History.- Production Technologies.- Physical Metallurgy.- Melting, Alloying and Refining.- Alloys of Practical Importance.- Fabrication Methods.- Corrosion and Surface Protection.- Engineering Requirements, Strategies and Examples.- Recycling.- Data Sheet.