SpringerBriefs in Applied Sciences and Technology

Chaki, Sudipto; Ghosal, Sujit

This book presents the basics of the Laser Assisted Oxygen (LASOX) cutting process, its development, advantages and shortcomings, together with detailed information on the research work carried out to date regarding the modelling and optimization of the process. It introduces two integrated soft computing-based models consisting of Artificial Neural Networks (ANN-GA and ANN SA) for the modelling and optimization of LASOX cutting. It also includes an in-depth discussion on the basic working algorithms of soft computing tools such as Artificial Neural Networks, Genetic Algorithms, Simulated Annealing etc. The book not only provides an approach to optimizing LASOX by means of soft computing-based integrated models, but also illustrates the practical implementation of the proposed models.

Details

Published by: Springer

Publication Date: 2019-01-28

Format: Paperback

ISBN-13: 9783030049027

DOI: 10.1007/978-3-030-04903-4

Dimensions: 235cm x155cm

Pages: 56