PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS

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Tarih

2018

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Yildiz Technical Univ

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

The available work is aimed for comparison and estimation of surface hardness in ball burnishing process of aluminum alloy based upon the Taguchi technique, Fuzzy logic and regression models. The ball burnishing parameters like burnishing speed, force, feed rate and number of passes were designed using Taguchi L-25 orthogonal design matrix. Taguchi's signal to noise ratio was used to optimize the surface hardness. The effect of burnishing parameters on surface hardness was established by analysis of variance. Fuzzy logic was conducted using Matlab Toolbox. Taguchi technique, second order regression model and variance analysis were developed using MINITAB 17. The predicted hardness values of performance parameters were operated to compare the distinct models. The results of predicted models indicated that the consistent predictive model is the fuzzy logic model. With high correlation coefficient (R-2 = 97.52 %), the model was regarded adequately accurate.

Açıklama

Anahtar Kelimeler

Ball burnishing, surface hardness, Taguchi method, fuzzy logic, regression model

Kaynak

Sigma Journal of Engineering and Natural Sciences-Sigma Muhendislik Ve Fen Bilimleri Dergisi

WoS Q Değeri

N/A

Scopus Q Değeri

N/A

Cilt

36

Sayı

4

Künye