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primary topic: Modeling of Cutting Forces When End Milling of Ti6Al4V Using Adaptive Neuro-Fuzzy Inference System

Modeling of Cutting Forces When End Milling of Ti6Al4V Using Adaptive Neuro-Fuzzy Inference System
type: AcademicArticle
type: Article
abstract: The forces that are acting on a tool throughout the process of metal cutting are extremely important. An understanding of these forces can help to estimate the power required when cutting, as well as helping to ensure the subsequent structures are free from vibration and are adequately rigid. Several techniques have been utilised to model the responses throughout the metal cutting process. Adopting soft computing approaches has driven the artificial intelligence to solve complex, non-linear problems in different fields, such as modelling and predicting problems in metal cutting. In this study, an adaptive neuro-fuzzy inference system (ANFIS) has been used for predicting the cutting forces during dry end milling with uncoated insert of a Ti6Al4V alloy. The developed ANFIS model has been trained and tested with real experimental case study. Membership function with generalized bell shape was used with numbers 2, 3, 4, and 5. The absolute percentage error (MAPE) was calculated for models to pick up the minimum one. Good matching was obtained between experimental and ANFIS results. © The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024.
date: 2024
volume: 487
is part of: Studies in Systems, Decision and Control
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Springer Science and Business Media Deutschland GmbH
type: Organization

Studies in Systems, Decision and Control
type: Collection
issn: 21984182

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

Adnan N. Jameel Al-Tamimi
type: Person
given name: Adnan N. Jameel
family name: Al-Tamimi

Mohammed N. Abdulrazaq Alshekhly
type: Person
given name: Mohammed N. Abdulrazaq
family name: Alshekhly

Jaharah A. Ghani
type: Person
given name: Jaharah A.
family name: Ghani

Hakim S. Sultan
type: Person
given name: Hakim S.
family name: Sultan

Che Hassan Che Haron
type: Person
given name: Che Hassan Che
family name: Haron

Salah Al-Zubaidi
type: Person
given name: Salah
family name: Al-Zubaidi

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primary topic: Modeling of Cutting Forces When End Milling of Ti6Al4V Using Adaptive Neuro-Fuzzy Inference System