KAPLAMALI VE KAPLAMASIZ KESİCİ TAKIMLARLA İŞLENEN INCONEL 718 İŞ PARÇASININ YÜZEY PÜRÜZLÜLÜK DEĞERLERİNİN ANFIS İLE MODELLENMESİ

Hüseyin Gürbüz; Şehmus Baday

doi:10.17780/ksujes.1568398

EN TR

ANFIS MODELING OF SURFACE ROUGHNESS VALUES OF INCONEL 718 WORKPIECE MACHINED WITH COATED AND UNCOATED CUTTING TOOLS

Abstract

The aim of this study is to investigate the surface roughness values resulting from milling of Inconel 718 super alloy with coated and uncoated cutting tools using different machining parameters and to develop a model using Adaptive Neuro Fuzzy Inference System (ANFIS) to predict the experimental results. In the ANFIS model, the cutting tool type (coated and uncoated), feed rate f (mm/tooth) and cutting speed V (m/min) were used as input parameters, and the average surface roughness Ra (μm) was used as output parameter. In the created model, 70%, 15% and 15% of the experimental data were entered as training, test data and validation data, respectively. In determining the most suitable ANFIS model, the input membership function and their number were tested one by one and the model with the lowest error rate was selected. For the model with the lowest error rate, the output membership function, membership function and number were determined as linear, Gauss2mf and 333, respectively. When the experimental results were compared with the prediction results of the ANFIS model, the error rate value was calculated as 0.069596 and the coefficient of determination (R2) value was calculated as 0.9902. Depending on the obtained results, it was shown that the ANFIS model can be a successful method in predicting the surface roughness results in the milling process of Inconel 718.

Keywords

Supporting Institution

Batman Üniversitesi Bilimsel Araştırma Projeleri Birimi (BTÜBAP)

Project Number

18.004

Thanks

Bu çalışmada, Batman Üniversitesi Bilimsel Araştırma Projeleri Birimi (BTÜBAP) tarafından “18.004” numaralı projeye sunmuş olduğu finansal destek için BTÜBAP'a teşekkür ederiz.

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Details

Primary Language

Turkish

Subjects

Optimization Techniques in Mechanical Engineering

Journal Section

Research Article

Authors

Hüseyin Gürbüz ^*
0000-0003-1391-172X
Türkiye

Şehmus Baday
0000-0003-4208-8779
Türkiye

Publication Date

March 3, 2025

Submission Date

October 17, 2024

Acceptance Date

February 15, 2025

Published in Issue

Year 1970 Volume: 28 Number: 1

DOI

https://doi.org/10.17780/ksujes.1568398

IZ

https://izlik.org/JA65NJ97AR

Cite

RIS / Bibtex

APA

Gürbüz, H., & Baday, Ş. (2025). KAPLAMALI VE KAPLAMASIZ KESİCİ TAKIMLARLA İŞLENEN INCONEL 718 İŞ PARÇASININ YÜZEY PÜRÜZLÜLÜK DEĞERLERİNİN ANFIS İLE MODELLENMESİ. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(1), 369-379. https://doi.org/10.17780/ksujes.1568398

ANFIS MODELING OF SURFACE ROUGHNESS VALUES OF INCONEL 718 WORKPIECE MACHINED WITH COATED AND UNCOATED CUTTING TOOLS

ANFIS MODELING OF SURFACE ROUGHNESS VALUES OF INCONEL 718 WORKPIECE MACHINED WITH COATED AND UNCOATED CUTTING TOOLS

Abstract

Keywords