Artificial Intelligence approach in CNC machining, Pankaj Gupta (9781636487571) — Readings Books

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Artificial Intelligence approach in CNC machining
Paperback

Artificial Intelligence approach in CNC machining

$113.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

An AI-powered system for monitoring the condition of CNC tools, for early chatter recognition in machine prevents significant losses in the manufacturing industry caused by machine breakdowns. Machine condition monitoring is the practice of observing and tracking specific parameters of a machine in order to detect any major changes that may indicate an impending failure. Continuous machine monitoring enables proactive prevention of failure by detecting and addressing potential issues before they occur. In today's highly competitive environment, manufacturing industries prioritize the production of high-quality products while maximizing productivity. Increasing the Material Removal Rate (MRR) can improve the productivity of various manufacturing industries. This book provides a comprehensive examination of the literature on the phenomena of chatter. Based on this analysis, it has been deduced that researchers have proposed several approaches for identifying and suppressing chatter. However, these strategies have not been widely used in the industry. The primary aim of this book is to offer a methodology for determining the ideal range of process parameters for achieving stable machining with a higher material removal rate. The method encompasses data acquisition, study of sensitive positions to choose appropriate sensor placements, signal pre-processing, feature extraction, feature selection, classification, and optimization techniques. Moreover, in this book both traditional as well as non-traditional (Artificial Intelligence) techniques have been presented. These techniques are being used in industries for achieving better products along with higher productivity.

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Format
Paperback
Publisher
Eliva Press
Date
14 July 2024
Pages
174
ISBN
9781636487571

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

An AI-powered system for monitoring the condition of CNC tools, for early chatter recognition in machine prevents significant losses in the manufacturing industry caused by machine breakdowns. Machine condition monitoring is the practice of observing and tracking specific parameters of a machine in order to detect any major changes that may indicate an impending failure. Continuous machine monitoring enables proactive prevention of failure by detecting and addressing potential issues before they occur. In today's highly competitive environment, manufacturing industries prioritize the production of high-quality products while maximizing productivity. Increasing the Material Removal Rate (MRR) can improve the productivity of various manufacturing industries. This book provides a comprehensive examination of the literature on the phenomena of chatter. Based on this analysis, it has been deduced that researchers have proposed several approaches for identifying and suppressing chatter. However, these strategies have not been widely used in the industry. The primary aim of this book is to offer a methodology for determining the ideal range of process parameters for achieving stable machining with a higher material removal rate. The method encompasses data acquisition, study of sensitive positions to choose appropriate sensor placements, signal pre-processing, feature extraction, feature selection, classification, and optimization techniques. Moreover, in this book both traditional as well as non-traditional (Artificial Intelligence) techniques have been presented. These techniques are being used in industries for achieving better products along with higher productivity.

Read More
Format
Paperback
Publisher
Eliva Press
Date
14 July 2024
Pages
174
ISBN
9781636487571