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Banach, Fréchet, Hilbert and Neumann Spaces

Analysis for PDEs Set Volume 1

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Semi-Markov Migration Models for Credit Risk

Stochastic Models for Insurance Set Volume 1

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Human Exposure to Electromagnetic Fields

From Extremely Low Frequency (ELF) to Radio Frequency

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Data Treatment in Environmental Sciences

Multivaried Approach

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Exterior Algebras

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Cognitive Approach to Natural Language Processing

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Intelligent Machining

Edited by Tugrul Özel, Rutgers University, USA J. Paulo Davim, University of Aveiro, Portugal

ISBN: 9781848211292

Publication Date: May 2009   Hardback   288 pp.

140.00 USD

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Machining, as a reliable manufacturing process, still offers unmatched capabilities in producing high quality three-dimensional parts from metals, polymers, ceramics, wood and composites. Advances in computational modeling and optimization methods have enabled researchers to develop cost-effective and high-throughput modern machining processes.
This book aims to provide recent advances in intelligent machining for modern manufacturing engineering. It covers the basic fundamentals, modern machining processes, analytical and mechanistic modeling approaches, finite element modeling and systems-based modeling, as well as discussing recent optimization methods and case studies.
Useful for those studying engineering at both an undergraduate and postgraduate level, this book will also serve as a useful reference for academics, manufacturing and materials researchers, manufacturing and mechanical engineers, and professionals in machining and related industries.


1. Modern Machining Process, Luis Norberto Lopez De Lacalle, Joaquim De Ciurana and Tugrul Özel.
2. Analytical and Mechanistic Modeling of Machining Processes, Wit Grzesik.
3. Finite Element Modeling of Machining Processes, Pedro J. Arrazola and Tugrul Özel.
4. Computational Modeling of Machining Systems, Ramón Quiza and J. Paulo Davim.
5. Design of Experiments, Vinayak N. Gaitonde, Ramesh S. Karnik and J. Paulo Davim.
6. Single and Multi-objective Optimization Methods, Tugrul Özel.

About the Authors

Tugrul Özel is Associate Professor of Industrial and Systems Engineering at Rutgers University, USA. His teaching and research interests include the modeling of machining processes, automation and process control, optimization of processes and systems, and micro/nano manufacturing.
J. Paulo Davim is Aggregate Professor in the Department of Mechanical Engineering of the University of Aveiro, Portugal and is Head of MACTRIB (Machining and Tribology Research Group). His main research interests include machining/manufacturing processes and tribology/surface engineering.


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