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Author: Prafull P Shirpurkar
Publisher: Educreation Publishing
ISBN:
Category : Education
Languages : en
Pages : 130
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Book Description
The book contains Optimization of Multi response of Turning Process Parameters by Using Tool Inserts, now a days mostly used optimization technique which is better than single response optimizing technique because all the output is affected at a time by all the input factors. The objective of this book is to determine the optimal setting of cutting parameters speed (N)m/min, depth of cut(d) mm, feed(f)mm/rev, Nose Radius(r)mm, variation amplitude(mm/sec2), vibration frequency(kHz) in Cutting tool inserts to minimize surface roughness (Ra) and to increase the Tool life. In this book the experiment has been carried out on CNC (SPINNER 15) lathe in dry, Wet and MQL (Minimum Quantity Lubrication) cutting Condition turning of a commercially used EN 24 grade steel as a work material and carbide insert tool (CNMG120408 CNMG120412). This book highlights use of Taguchi experiment design to optimize the multi response parameters on turning operation. For this experiment Taguchi design of experiment was carried out to collect the data for surface roughness and tool vibration. The results indicate the optimum values of the input factors and the results are conformed by a confirmatory test. This book describes use and steps of Taguchi design of experiments and orthogonal array to find a specific range and combinations of turning parameters like cutting speed, feed rate and depth of cut, Nose Radius and Cutting condition to achieve optimal values of response variables like surface roughness, tool life, material removal rate in turning of Split Bush of EN24 Material.
Author: Prafull P Shirpurkar
Publisher: Educreation Publishing
ISBN:
Category : Education
Languages : en
Pages : 130
Get Book Here
Book Description
The book contains Optimization of Multi response of Turning Process Parameters by Using Tool Inserts, now a days mostly used optimization technique which is better than single response optimizing technique because all the output is affected at a time by all the input factors. The objective of this book is to determine the optimal setting of cutting parameters speed (N)m/min, depth of cut(d) mm, feed(f)mm/rev, Nose Radius(r)mm, variation amplitude(mm/sec2), vibration frequency(kHz) in Cutting tool inserts to minimize surface roughness (Ra) and to increase the Tool life. In this book the experiment has been carried out on CNC (SPINNER 15) lathe in dry, Wet and MQL (Minimum Quantity Lubrication) cutting Condition turning of a commercially used EN 24 grade steel as a work material and carbide insert tool (CNMG120408 CNMG120412). This book highlights use of Taguchi experiment design to optimize the multi response parameters on turning operation. For this experiment Taguchi design of experiment was carried out to collect the data for surface roughness and tool vibration. The results indicate the optimum values of the input factors and the results are conformed by a confirmatory test. This book describes use and steps of Taguchi design of experiments and orthogonal array to find a specific range and combinations of turning parameters like cutting speed, feed rate and depth of cut, Nose Radius and Cutting condition to achieve optimal values of response variables like surface roughness, tool life, material removal rate in turning of Split Bush of EN24 Material.
Author: Kaushik Kumar
Publisher: John Wiley & Sons
ISBN: 1119644607
Category : Technology & Engineering
Languages : en
Pages : 194
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Book Description
Optimization is central to any problem involving decision-making in engineering. Optimization theory and methods deal with selecting the best option regarding the given objective function or performance index. New algorithmic and theoretical techniques have been developed for this purpose, and have rapidly diffused into other disciplines. As a result, our knowledge of all aspects of the field has grown even more profound. In Optimization for Engineering Problems, eminent researchers in the field present the latest knowledge and techniques on the subject of optimization in engineering. Whereas the majority of work in this area focuses on other applications, this book applies advanced and algorithm-based optimization techniques specifically to problems in engineering.
Author: Melanie Mitchell
Publisher: MIT Press
ISBN: 9780262631853
Category : Computers
Languages : en
Pages : 226
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Book Description
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
Author: G. S. V. L. Narasimham
Publisher: Springer Nature
ISBN: 9811575576
Category : Technology & Engineering
Languages : en
Pages : 697
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Book Description
This book consists of peer-reviewed proceedings from the International Conference on Innovations in Mechanical Engineering (ICIME 2020). The contents cover latest research in all major areas of mechanical engineering, and are broadly divided into five parts: (i) thermal engineering, (ii) design and optimization, (iii) production and industrial engineering, (iv) materials science and metallurgy, and (v) multidisciplinary topics. Different aspects of designing, modeling, manufacturing, optimizing, and processing are discussed in the context of emerging applications. Given the range of topics covered, this book can be useful for students, researchers as well as professionals.
Author: J. Paulo Davim
Publisher: Springer
ISBN: 3319519611
Category : Technology & Engineering
Languages : en
Pages : 90
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Book Description
This book provides an overview on current sustainable machining. Its chapters cover the concept in economic, social and environmental dimensions. It provides the reader with proper ways to handle several pollutants produced during the machining process. The book is useful on both undergraduate and postgraduate levels and it is of interest to all those working with manufacturing and machining technology.
Author: Catalin I. Pruncu
Publisher: John Wiley & Sons
ISBN: 3527346945
Category : Technology & Engineering
Languages : en
Pages : 338
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Book Description
Discover the state-of-the-art in multiscale modeling and optimization in manufacturing from two leading voices in the field Modeling and Optimization in Manufacturing delivers a comprehensive approach to various manufacturing processes and shows readers how multiscale modeling and optimization processes help improve upon them. The book elaborates on the foundations and applications of computational modeling and optimization processes, as well as recent developments in the field. It offers discussions of manufacturing processes, including forming, machining, casting, joining, coating, and additive manufacturing, and how computer simulations have influenced their development. Examples for each category of manufacturing are provided in the text, and industrial applications are described for the reader. The distinguished authors also provide an insightful perspective on likely future trends and developments in manufacturing modeling and optimization, including the use of large materials databases and machine learning. Readers will also benefit from the inclusion of: A thorough introduction to the origins of manufacturing, the history of traditional and advanced manufacturing, and recent progress in manufacturing An exploration of advanced manufacturing and the environmental impact and significance of manufacturing Practical discussions of the economic importance of advanced manufacturing An examination of the sustainability of advanced manufacturing, and developing and future trends in manufacturing Perfect for materials scientists, mechanical engineers, and process engineers, Modeling and Optimization in Manufacturing will also earn a place in the libraries of engineering scientists in industries seeking a one-stop reference on multiscale modeling and optimization in manufacturing.
Author: Mauricio A. Álvarez
Publisher: Foundations & Trends
ISBN: 9781601985583
Category : Computers
Languages : en
Pages : 86
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Book Description
This monograph reviews different methods to design or learn valid kernel functions for multiple outputs, paying particular attention to the connection between probabilistic and regularization methods.
Author: Ranganath M. Singari
Publisher: Springer Nature
ISBN: 9811585423
Category : Technology & Engineering
Languages : en
Pages : 1180
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Book Description
This book presents selected peer reviewed papers from the International Conference on Advanced Production and Industrial Engineering (ICAPIE 2019). It covers a wide range of topics and latest research in mechanical systems engineering, materials engineering, micro-machining, renewable energy, industrial and production engineering, and additive manufacturing. Given the range of topics discussed, this book will be useful for students and researchers primarily working in mechanical and industrial engineering, and energy technologies.
Author: Sandip Kunar
Publisher: CRC Press
ISBN: 1040040721
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
Optimization for advanced manufacturing processes in fabrication is becoming increasingly important around the world across a range of industries because of its improved productivity, capabilities, efficacy, and sustainability characteristics. This new book explains how to optimize various industrial systems and processes utilizing new significant statistical and evolutionary methodologies. Statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization are covered here, with relevant theoretical details, salient characteristics, implementation processes, effectiveness studies, and results in manufacturing. The chapters present a variety of advanced manufacturing processes and optimization techniques. Processes are described with basic explanations, characteristics, and applications in various technological and biomedical domains. The chapters address the processes prediction of mechanical properties, design and development of tools, impact of power supply, increasing machining precision and efficiency, genetic algorithm optimization, additive manufacturing, and much more. Providing a comprehensive study of advanced manufacturing processes, this volume is a valuable reference for engineers and R&D researchers involved in optimization for advanced manufacturing processes as well as for academics and postgraduate-level students in mechanical engineering, manufacturing engineering, and machining processes.
Author: Prakash Mahadeo Dixit
Publisher: Springer Science & Business Media
ISBN: 1848001894
Category : Technology & Engineering
Languages : en
Pages : 599
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Book Description
Written by authorities in the subject, this book provides a complete treatment of metal forming and machining by using the computational techniques FEM, fuzzy set theory and neural networks as modelling tools. The algorithms and solved examples included make this book of value to postgraduates, senior undergraduates, and lecturers and researchers in these fields. Research and development engineers and consultants for the manufacturing industry will also find it of use.
