Machining Recent Advances Applications And Challenges

Author : Luis Norberto L´opez de Lacalle,Gorka Urbicain
Publisher : MDPI
Page : 554 pages
File Size : 53,6 Mb
Release : 2019-08-26
Category : Technology & Engineering
ISBN : 9783039213771

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Machining—Recent Advances, Applications and Challenges by Luis Norberto L´opez de Lacalle,Gorka Urbicain Pdf

The Special Issue Machining—Recent Advances, Applications and Challenges is intended as a humble collection of some of the hottest topics in machining. The manufacturing industry is a varying and challenging environment where new advances emerge from one day to another. In recent years, new manufacturing procedures have retained increasing attention from the industrial and scientific community. However, machining still remains the key operation to achieve high productivity and precision for high-added value parts. Continuous research is performed, and new ideas are constantly considered. This Special Issue summarizes selected high-quality papers which were submitted, peer-reviewed, and recommended by experts. It covers some (but not only) of the following topics: High performance operations for difficult-to-cut alloys, wrought and cast materials, light alloys, ceramics, etc.; Cutting tools, grades, substrates and coatings. Wear damage; Advanced cooling in machining: Minimum quantity of lubricant, dry or cryogenics; Modelling, focused on the reduction of risks, the process outcome, and to maintain surface integrity; Vibration problems in machines: Active and passive/predictive methods, sources, diagnosis and avoidance; Influence of machining in new concepts of machine–tool, and machine static and dynamic behaviors; Machinability of new composites, brittle and emerging materials; Assisted machining processes by high-pressure, laser, US, and others; Introduction of new analytics and decision making into machining programming. We wish to thank the reviewers and staff from Materials for their comments, advice, suggestions and invaluable support during the development of this Special Issue.

Author : Francisco J. G. Silva
Publisher : Unknown
Page : 272 pages
File Size : 43,7 Mb
Release : 2021
Category : Electronic
ISBN : 3036524959

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Metal Machining—Recent Advances, Applications and Challenges by Francisco J. G. Silva Pdf

Machining remains one of the most important manufacturing processes in the metalworking industry. Studies on this process have investigated the machinability of different materials, the behaviour of tools, chip formation, surface integrity, forces involved, and its economic and environmental sustainability. New materials are constantly being developed, and machining research needs to closely follow these developments. This book examines recent research in the machining field, covering several aspects and presenting very interesting developments in this area of knowledge.

Author : Luis Norberto López de Lacalle,Gorka Urbicain
Publisher : Unknown
Page : 1 pages
File Size : 53,7 Mb
Release : 2019
Category : Electronic books
ISBN : 3039213784

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Machining-Recent Advances, Applications and Challenges by Luis Norberto López de Lacalle,Gorka Urbicain Pdf

The Special Issue Machining-Recent Advances, Applications and Challenges is intended as a humble collection of some of the hottest topics in machining. The manufacturing industry is a varying and challenging environment where new advances emerge from one day to another. In recent years, new manufacturing procedures have retained increasing attention from the industrial and scientific community. However, machining still remains the key operation to achieve high productivity and precision for high-added value parts. Continuous research is performed, and new ideas are constantly considered. This Special Issue summarizes selected high-quality papers which were submitted, peer-reviewed, and recommended by experts. It covers some (but not only) of the following topics: High performance operations for difficult-to-cut alloys, wrought and cast materials, light alloys, ceramics, etc.; Cutting tools, grades, substrates and coatings. Wear damage; Advanced cooling in machining: Minimum quantity of lubricant, dry or cryogenics; Modelling, focused on the reduction of risks, the process outcome, and to maintain surface integrity; Vibration problems in machines: Active and passive/predictive methods, sources, diagnosis and avoidance; Influence of machining in new concepts of machine-tool, and machine static and dynamic behaviors; Machinability of new composites, brittle and emerging materials; Assisted machining processes by high-pressure, laser, US, and others; Introduction of new analytics and decision making into machining programming. We wish to thank the reviewers and staff from Materials for their comments, advice, suggestions and invaluable support during the development of this Special Issue.

Author : J. Paulo Davim
Publisher : Springer Science & Business Media
Page : 368 pages
File Size : 47,9 Mb
Release : 2008-07-11
Category : Technology & Engineering
ISBN : 9781848002135

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Machining by J. Paulo Davim Pdf

Machining is one of the most important manufacturing processes. Parts manufactured by other processes often require further operations before the product is ready for application. “Machining: Fundamentals and Recent Advances” is divided into two parts. Part I explains the fundamentals of machining, with special emphasis on three important aspects: mechanics of machining, tools, and work-piece integrity. Part II is dedicated to recent advances in machining, including: machining of hard materials, machining of metal matrix composites, drilling polymeric matrix composites, ecological machining (minimal quantity of lubrication), high-speed machining (sculptured surfaces), grinding technology and new grinding wheels, micro- and nano-machining, non-traditional machining processes, and intelligent machining (computational methods and optimization). Advanced students, researchers and professionals interested or involved in modern manufacturing engineering will find the book a useful reference.

Author : Yen-Wei Chen
Publisher : Springer Nature
Page : 128 pages
File Size : 50,9 Mb
Release : 2024-06-17
Category : Electronic
ISBN : 9783031598111

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Recent Advances in Logo Detection Using Machine Learning Paradigms by Yen-Wei Chen Pdf

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 648 pages
File Size : 51,6 Mb
Release : 2020-12-14
Category : Computers
ISBN : 9783030593384

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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by Aboul Ella Hassanien,Ashraf Darwish Pdf

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Author : Alexey Lastovetsky,Tahar Kechadi,Jack Dongarra
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 50,5 Mb
Release : 2008-08-28
Category : Computers
ISBN : 9783540874744

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Recent Advances in Parallel Virtual Machine and Message Passing Interface by Alexey Lastovetsky,Tahar Kechadi,Jack Dongarra Pdf

This book constitutes the refereed proceedings of the 15th European PVM/MPI Users' Group Meeting held in Dublin, Ireland, in September 2008. The 29 revised full papers presented together with abstracts of 7 invited contributions, 1 tutorial paper and 8 poster papers were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on applications, collective operations, library internals, message passing for multi-core and mutlithreaded architectures, MPI datatypes, MPI I/O, synchronisation issues in point-to-point and one-sided communications, tools, and verification of message passing programs. The volume is rounded off with 4 contributions to the special ParSim session on current trends in numerical simulation for parallel engineering environments.

Author : Kashyap, Ramgopal,Kumar, A.V. Senthil
Publisher : IGI Global
Page : 293 pages
File Size : 45,6 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9781799801849

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Challenges and Applications for Implementing Machine Learning in Computer Vision by Kashyap, Ramgopal,Kumar, A.V. Senthil Pdf

Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Author : Gorka Urbicain,Daniel Olvera Trejo
Publisher : Unknown
Page : 190 pages
File Size : 46,6 Mb
Release : 2021
Category : Electronic
ISBN : 3036502955

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Machining Dynamics and Parameters Process Optimization by Gorka Urbicain,Daniel Olvera Trejo Pdf

As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1516 pages
File Size : 48,5 Mb
Release : 2022-05-13
Category : Computers
ISBN : 9781668462928

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Research Anthology on Machine Learning Techniques, Methods, and Applications by Management Association, Information Resources Pdf

Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.

Author : J. Paulo Davim
Publisher : Springer
Page : 0 pages
File Size : 46,7 Mb
Release : 2008-09-24
Category : Technology & Engineering
ISBN : 1848002122

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Machining by J. Paulo Davim Pdf

Machining is one of the most important manufacturing processes. Parts manufactured by other processes often require further operations before the product is ready for application. “Machining: Fundamentals and Recent Advances” is divided into two parts. Part I explains the fundamentals of machining, with special emphasis on three important aspects: mechanics of machining, tools, and work-piece integrity. Part II is dedicated to recent advances in machining, including: machining of hard materials, machining of metal matrix composites, drilling polymeric matrix composites, ecological machining (minimal quantity of lubrication), high-speed machining (sculptured surfaces), grinding technology and new grinding wheels, micro- and nano-machining, non-traditional machining processes, and intelligent machining (computational methods and optimization). Advanced students, researchers and professionals interested or involved in modern manufacturing engineering will find the book a useful reference.

Author : Bose, Goutam Kumar,Pain, Pritam
Publisher : IGI Global
Page : 313 pages
File Size : 42,8 Mb
Release : 2021-02-05
Category : Computers
ISBN : 9781799836261

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Machine Learning Applications in Non-Conventional Machining Processes by Bose, Goutam Kumar,Pain, Pritam Pdf

Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today’s technology-driven market.

Author : Verónica Bolón-Canedo,Amparo Alonso-Betanzos
Publisher : Springer
Page : 205 pages
File Size : 46,9 Mb
Release : 2018-04-30
Category : Technology & Engineering
ISBN : 9783319900803

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Recent Advances in Ensembles for Feature Selection by Verónica Bolón-Canedo,Amparo Alonso-Betanzos Pdf

This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. With the advent of Big Data, feature selection (FS) has become more necessary than ever to achieve dimensionality reduction. With so many methods available, it is difficult to choose the most appropriate one for a given setting, thus making the ensemble paradigm an interesting alternative. The authors first focus on the foundations of ensemble learning and classical approaches, before diving into the specific aspects of ensembles for FS, such as combining partial results, measuring diversity and evaluating ensemble performance. Lastly, the book shows examples of successful applications of ensembles for FS and introduces the new challenges that researchers now face. As such, the book offers a valuable guide for all practitioners, researchers and graduate students in the areas of machine learning and data mining.

Author : Kamal Kant Hiran,Deepak Khazanchi,Ajay Kumar Vyas,Sanjeevikumar Padmanaban
Publisher : Walter de Gruyter GmbH & Co KG
Page : 214 pages
File Size : 43,8 Mb
Release : 2021-07-19
Category : Computers
ISBN : 9783110702514

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Machine Learning for Sustainable Development by Kamal Kant Hiran,Deepak Khazanchi,Ajay Kumar Vyas,Sanjeevikumar Padmanaban Pdf

The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.

Author : Aboul Ella Hassanien,Rawya Y. Rizk,Václav Snášel,Rehab F. Abdel-Kader
Publisher : Springer Nature
Page : 708 pages
File Size : 49,7 Mb
Release : 2022-04-16
Category : Technology & Engineering
ISBN : 9783031039188

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The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) by Aboul Ella Hassanien,Rawya Y. Rizk,Václav Snášel,Rehab F. Abdel-Kader Pdf

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.