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primary topic: Recent Trends in Artificial Intelligence and Machine Learning Methods Applied to Water Jet Machining

Recent Trends in Artificial Intelligence and Machine Learning Methods Applied to Water Jet Machining
type: AcademicArticle
type: Article
abstract: Abrasive Water Jet Machining is a revolutionary unconventional cutting technology that has a wide range of applications in the machining of difficult-to-machine materials. Process parameters are critical in determining the efficiency and economics of a high-quality machining process. As a consequence of advancements in sensor technology, machining operations may now be automated, and the massive amounts of data generated can be used to model and monitor the processes using Artificial Intelligence (AI) and Machine Learning (ML) approaches. This paper presents an overview of the current research trends linking the application of AI and ML methods to AWJM processes for enhanced performance metrics, process monitoring and control, and improved variable optimization. Overcoming challenges related to data quality, model interpretability, and system integration will be essential for the successful implementation of AI and ML in the field of water jet machining. The potential future directions in the ever-expanding field of AI and machining processes, particularly AWJM, are also discussed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
date: 2024
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Lecture Notes in Mechanical Engineering
type: Collection

M. Wieczorowski
type: Person
given name: M.
family name: Wieczorowski

M. Ammar
type: Person
given name: M.
family name: Ammar

A. Qureshi
type: Person
given name: A.
family name: Qureshi

R. Khan
type: Person
given name: R.
family name: Khan

U. Khan
type: Person
given name: U.
family name: Khan

T. Ahmed
type: Person
given name: T.
family name: Ahmed

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primary topic: Recent Trends in Artificial Intelligence and Machine Learning Methods Applied to Water Jet Machining