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Optimization Of Turning Process
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Book Synopsis Optimization of Turning Process by : Prafull P Shirpurkar
Download or read book Optimization of Turning Process written by Prafull P Shirpurkar and published by Educreation Publishing. This book was released on 2019-02-28 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Optimization for Engineering Problems by : Kaushik Kumar
Download or read book Optimization for Engineering Problems written by Kaushik Kumar and published by John Wiley & Sons. This book was released on 2019-07-10 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Optimization of Machining Parameters for Product Quality and Productivity in Turning Process of Aluminum by : Nicolás Mancilla Cubides
Download or read book Optimization of Machining Parameters for Product Quality and Productivity in Turning Process of Aluminum written by Nicolás Mancilla Cubides and published by . This book was released on 2019* with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern production is faced with the challenges in reducing the environmental impacts related to machining processes. Turning process is a manufacturing process widely used with a vast application for creating engineering components. In this context, many studies have been conducted in order to optimize the machining parameters and facilitate the decision-making process. This paper considers the quality of the products (surface finish) and the productivity rate of the turning manufacturing process to be both optimized. Product quality is quantified using surface roughness (R_a) and the productivity rate using material removal rate (MRR). We develop a predictive and optimization model by coupling artificial neural networks (ANN) and the Particle Swarm Optimization (PSO), a multi-function optimization technique, as an alternative to predict the model response (R_a) first and then search for the optimal value of turning parameters to minimize the surface roughness (R_a) and maximize the material removal rate (MRR). To obtain the data, Aluminum is used to perform the turning process experiments, considering the cutting speed, feed rate, depth of cut and nose radius of the cutting tool as our design factors. We used the gathered data to train and develop the ANN model. The results predicted by the proposed models indicate good agreement between the predicted and experimental values, proving that the proposed ANN model is capable of predicting the surface roughness accurately. Then, the optimization model PSO has provided a Pareto Front for the optimal solution, determining the optimum machining parameters for minimum R_a and maximum MRR. This study has application in the real industry where the selection of optimal machining parameters helps to complete and manage conflicting objectives that constitute hurdles in the decision-making of the manufacturing plans.
Book Synopsis An Introduction to Genetic Algorithms by : Melanie Mitchell
Download or read book An Introduction to Genetic Algorithms written by Melanie Mitchell and published by MIT Press. This book was released on 1998-03-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis AI Based Modelling and Optimization of Turning Process by : Ruturaj Jayant Kulkarni
Download or read book AI Based Modelling and Optimization of Turning Process written by Ruturaj Jayant Kulkarni and published by . This book was released on 2012 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, Artificial Neural Network (ANN) technique is used to model and simulate the Turning Process. Significant machining parameters (i.e. spindle speed, feed rate, and, depths of cut) and process parameters (surface roughness and cutting forces) are considered. It is shown that Multi-Layer Back Propagation Neural Network is capable to perform this particular task. Design of Experiments approach is used for efficient selection of values of parameters used during experiments to reduce cost and time for experiments. The Particle Swarm Optimization methodology is used for constrained optimization of machining parameters to minimize surface roughness as well as cutting forces. ANN and Particle Swarm Optimization, two computational intelligence techniques when combined together, provide efficient computational strategy for finding optimum solutions. The proposed method is capable of handling multiple parameter optimization problems for processes that have non-linear relationship between input and output parameters e.g. milling, drilling etc. In addition, this methodology provides reliable, fast and efficient tool that can provide suitable solution to many problems faced by manufacturing industry today.
Book Synopsis Sustainable Machining by : J. Paulo Davim
Download or read book Sustainable Machining written by J. Paulo Davim and published by Springer. This book was released on 2017-03-19 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Recent Advances in Material Sciences by : Satish Pujari
Download or read book Recent Advances in Material Sciences written by Satish Pujari and published by Springer. This book was released on 2019-08-06 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select proceedings of the International Conference on Latest Innovations in Materials Engineering and Technology (ICLIET 2018). The book focuses on diverse engineering materials, their design and applications. The materials in discussion include those related to coatings, polymers, composites, tribology, acoustic insulators, lubricants, and cryogenics. The book also highlights emerging nano and micro materials, bio engineering materials, as well as new energy materials for solar cells and photovoltaic cells. This book will serve as an useful reference for students, researchers, and professionals working in the field of materials science and engineering.
Book Synopsis Recent Trends in Mechanical Engineering by : G. S. V. L. Narasimham
Download or read book Recent Trends in Mechanical Engineering written by G. S. V. L. Narasimham and published by Springer Nature. This book was released on 2020-10-30 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning Applications in Non-Conventional Machining Processes by : Bose, Goutam Kumar
Download or read book Machine Learning Applications in Non-Conventional Machining Processes written by Bose, Goutam Kumar and published by IGI Global. This book was released on 2021-02-05 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modeling and Optimization in Manufacturing by : Catalin I. Pruncu
Download or read book Modeling and Optimization in Manufacturing written by Catalin I. Pruncu and published by John Wiley & Sons. This book was released on 2021-07-19 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Kernels for Vector-Valued Functions by : Mauricio A. Álvarez
Download or read book Kernels for Vector-Valued Functions written by Mauricio A. Álvarez and published by Foundations & Trends. This book was released on 2012 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) by : Hui Yang
Download or read book Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) written by Hui Yang and published by #N/A. This book was released on 2017-06-28 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016) was held in Shanghai, China, from 15th to 17th July, 2016.AIST2016 aims to bring together researchers, engineers, and students to the areas of Artificial Intelligence Science and Technology. AIST2016 features unique mixed topics of artificial intelligence and application, computer and software, communication and network, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and state-of-art development in AI Technology.
Book Synopsis Cost Minimization of TURNING MACHINING PROCESS Using CS,FF,FP and PSA by : S. Elizabeth Amudhini Stephen
Download or read book Cost Minimization of TURNING MACHINING PROCESS Using CS,FF,FP and PSA written by S. Elizabeth Amudhini Stephen and published by . This book was released on 2020-06-30 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modern Optimization Techniques for Advanced Machining by : Imhade P. Okokpujie
Download or read book Modern Optimization Techniques for Advanced Machining written by Imhade P. Okokpujie and published by Springer Nature. This book was released on 2023-07-21 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced manufacturing via computer numerical machining is the art of producing mechanical components employed in aerospace, automobile, and industrial applications where a high level of accuracy is needed. This book focuses on the nano-machining of aluminum alloy and its optimization. The application of aluminum alloy in the manufacturing industry has increased tremendously due to its lightweight to high strength ratio and high-level resistance to corrosion. However, aluminum alloy has some challenges during the machining and manufacturing stage in order to solve real-life manufacturing challenges in advanced machining operation for sustainable production processes. Therefore, it is a need for the implementation of a general algebraic modeling system (GAMS) and other metaheuristic techniques for problem solving and to effectively develop mathematical models for high accuracy prediction and optimization under nano-lubrication machining conditions. This book discusses majorly on the major three responses in machining such as surface roughness, cutting force, and material removal rate, which will give an excellent guide to undergraduate and postgraduate students, senior research fellows in academia, operational, and strategic staff in manufacturing industries.
Book Synopsis Optimization of Advanced Manufacturing Processes by : Sandip Kunar
Download or read book Optimization of Advanced Manufacturing Processes written by Sandip Kunar and published by CRC Press. This book was released on 2024-11-29 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Proceedings of the 34th International MATADOR Conference by : Srichand Hinduja
Download or read book Proceedings of the 34th International MATADOR Conference written by Srichand Hinduja and published by Springer Science & Business Media. This book was released on 2004-09-23 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented here are 73 refereed papers given at the 34th MATADOR Conference held at UMIST in July 2004. The MATADOR series of conferences covers the topics of Manufacturing Automation and Systems Technology, Applications, Design, Organisation and Management, and Research. The 34th proceedings contains original papers contributed by researchers from many countries on different continents. The papers cover both the technological aspect of manufacturing processes; and the systems, business and management features of manufacturing enterprise. The papers in this volume reflect: - the importance of manufacturing to international wealth creation; - the necessity of responsiveness and agility of manufacturing companies to meet market-led requirements and international chan≥ - the role of information technology and electronic communications in the growth of global manufacturing enterprises; - the impact of new technologies, new materials and processes, on the ability to produce goods of higher quality, more quickly, to meet markets needs at a lower cost. Some of the major generic developments which have taken place in these areas since the 33rd MATADOR conference was held in 2000 are reported in this volume.
Book Synopsis Optimization of Manufacturing Processes by : Kapil Gupta
Download or read book Optimization of Manufacturing Processes written by Kapil Gupta and published by Springer. This book was released on 2019-06-25 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Optimization of Manufacturing Processes is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.
