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

Gökhan Başar; Funda Kahraman

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

Abstract

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 L25 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 (R2= 97.52 %), the model was regarded adequately accurate.

Keywords

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Gökhan Başar This is me
0000-0002-9696-7579
Türkiye

Funda Kahraman This is me
0000-0002-1661-3376
Türkiye

Publication Date

December 1, 2018

Submission Date

October 3, 2018

Acceptance Date

November 20, 2018

Published in Issue

Year 2018 Volume: 36 Number: 4

IZ

https://izlik.org/JA43WS83YR

Cite

RIS / Bibtex

APA

Başar, G., & Kahraman, F. (2018). PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS. Sigma Journal of Engineering and Natural Sciences, 36(4), 1283-1295. https://izlik.org/JA43WS83YR

AMA

1.Başar G, Kahraman F. PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS. SIGMA. 2018;36(4):1283-1295. https://izlik.org/JA43WS83YR

Chicago

Başar, Gökhan, and Funda Kahraman. 2018. “PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS”. Sigma Journal of Engineering and Natural Sciences 36 (4): 1283-95. https://izlik.org/JA43WS83YR.

EndNote

Başar G, Kahraman F (December 1, 2018) PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS. Sigma Journal of Engineering and Natural Sciences 36 4 1283–1295.

IEEE

[1]G. Başar and F. Kahraman, “PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS”, SIGMA, vol. 36, no. 4, pp. 1283–1295, Dec. 2018, [Online]. Available: https://izlik.org/JA43WS83YR

ISNAD

Başar, Gökhan - Kahraman, Funda. “PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS”. Sigma Journal of Engineering and Natural Sciences 36/4 (December 1, 2018): 1283-1295. https://izlik.org/JA43WS83YR.

JAMA

1.Başar G, Kahraman F. PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS. SIGMA. 2018;36:1283–1295.

MLA

Başar, Gökhan, and Funda Kahraman. “PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS”. Sigma Journal of Engineering and Natural Sciences, vol. 36, no. 4, Dec. 2018, pp. 1283-95, https://izlik.org/JA43WS83YR.

Vancouver

1.Gökhan Başar, Funda Kahraman. PREDICTION OF SURFACE HARDNESS IN A BURNISHING PROCESS USING TAGUCHI METHOD, FUZZY LOGIC MODEL AND REGRESSION ANALYSIS. SIGMA [Internet]. 2018 Dec. 1;36(4):1283-95. Available from: https://izlik.org/JA43WS83YR