Machine learning and artificial intelligence in CNC machine tools, A review

Artificial Intelligence (AI) and Machine learning (ML) represents an important evolution in computer science and data processing systems which can be used in order to enhance almost every technology-enabled service, products, and industrial applications. A subfield of artificial intelligence and com...

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Main Authors: Mohsen Soori, Behrooz Arezoo, Roza Dastres
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Sustainable Manufacturing and Service Economics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667344423000014
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author Mohsen Soori
Behrooz Arezoo
Roza Dastres
author_facet Mohsen Soori
Behrooz Arezoo
Roza Dastres
author_sort Mohsen Soori
collection DOAJ
description Artificial Intelligence (AI) and Machine learning (ML) represents an important evolution in computer science and data processing systems which can be used in order to enhance almost every technology-enabled service, products, and industrial applications. A subfield of artificial intelligence and computer science is named machine learning which focuses on using data and algorithms to simulate learning process of machines and enhance the accuracy of the systems. Machine learning systems can be applied to the cutting forces and cutting tool wear prediction in CNC machine tools in order to increase cutting tool life during machining operations. Optimized machining parameters of CNC machining operations can be obtained by using the advanced machine learning systems in order to increase efficiency during part manufacturing processes. Moreover, surface quality of machined components can be predicted and improved using advanced machine learning systems to improve the quality of machined parts. In order to analyze and minimize power usage during CNC machining operations, machine learning is applied to prediction techniques of energy consumption of CNC machine tools. In this paper, applications of machine learning and artificial intelligence systems in CNC machine tools is reviewed and future research works are also recommended to present an overview of current research on machine learning and artificial intelligence approaches in CNC machining processes. As a result, the research filed can be moved forward by reviewing and analysing recent achievements in published papers to offer innovative concepts and approaches in applications of artificial Intelligence and machine learning in CNC machine tools.
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spelling doaj.art-3cec3e63e6c8437984c14a243028b9902024-01-25T05:23:55ZengElsevierSustainable Manufacturing and Service Economics2667-34442023-04-012100009Machine learning and artificial intelligence in CNC machine tools, A reviewMohsen Soori0Behrooz Arezoo1Roza Dastres2Department of Aeronautical Engineering, University of Kyrenia, Via Mersin 10, Kyrenia, North Cyprus, Turkey; Corresponding author.CAD/CAPP/CAM Research Center, Department of Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, IranDepartment of Computer Engineering, Near East University, Via Mersin 10, Lefkosha, North Cyprus, TurkeyArtificial Intelligence (AI) and Machine learning (ML) represents an important evolution in computer science and data processing systems which can be used in order to enhance almost every technology-enabled service, products, and industrial applications. A subfield of artificial intelligence and computer science is named machine learning which focuses on using data and algorithms to simulate learning process of machines and enhance the accuracy of the systems. Machine learning systems can be applied to the cutting forces and cutting tool wear prediction in CNC machine tools in order to increase cutting tool life during machining operations. Optimized machining parameters of CNC machining operations can be obtained by using the advanced machine learning systems in order to increase efficiency during part manufacturing processes. Moreover, surface quality of machined components can be predicted and improved using advanced machine learning systems to improve the quality of machined parts. In order to analyze and minimize power usage during CNC machining operations, machine learning is applied to prediction techniques of energy consumption of CNC machine tools. In this paper, applications of machine learning and artificial intelligence systems in CNC machine tools is reviewed and future research works are also recommended to present an overview of current research on machine learning and artificial intelligence approaches in CNC machining processes. As a result, the research filed can be moved forward by reviewing and analysing recent achievements in published papers to offer innovative concepts and approaches in applications of artificial Intelligence and machine learning in CNC machine tools.http://www.sciencedirect.com/science/article/pii/S2667344423000014Machine learningArtificial intelligenceCNC machine tools
spellingShingle Mohsen Soori
Behrooz Arezoo
Roza Dastres
Machine learning and artificial intelligence in CNC machine tools, A review
Sustainable Manufacturing and Service Economics
Machine learning
Artificial intelligence
CNC machine tools
title Machine learning and artificial intelligence in CNC machine tools, A review
title_full Machine learning and artificial intelligence in CNC machine tools, A review
title_fullStr Machine learning and artificial intelligence in CNC machine tools, A review
title_full_unstemmed Machine learning and artificial intelligence in CNC machine tools, A review
title_short Machine learning and artificial intelligence in CNC machine tools, A review
title_sort machine learning and artificial intelligence in cnc machine tools a review
topic Machine learning
Artificial intelligence
CNC machine tools
url http://www.sciencedirect.com/science/article/pii/S2667344423000014
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