Intelligent Machining

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 enabled researchers to develop cost effective and high throughput modern machining processes.

This book aims to provide recent advances intelligent machining for modern manufacturing engineering. It includes six chapters that provide basic fundamentals, modern machining processes, analytical and mechanistic modeling approaches, finite element modeling and systems based modeling, recent optimization methods and case studies.

Modern machining process / Luis Norberto Lopez de Lacalle, Joaquim de Ciurana and Tugrul Özel

Analytical and mechanistic modeling of machining processes / Wit Grzesik

Finite element modeling of machining processes / Pedro J. Arrazola and Tugrul Özel

Computational modeling of machining systems / Ramón Quiza and J. Paulo Davim

Design of experiments / Vinayak N. Gaitonde, Ramesh S. Karnik and J. Paulo Davim

Single and multi-objective optimization methods / Tugrul Özel

Tugrul Özel is an Assistant 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.