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Modeling and optimization for fly ash reinforced bronze-based composite materials using multi objective Taguchi technique and regression analysis

Hüsamettin Kus (Automotive Department, Mustafa Kemal University, Iskenderun, Turkey)
Gokhan Basar (Industrial Engineering, Engineering Faculty, Osmaniye Korkut Ata University, Osmaniye, Turkey)
Funda Kahraman (Mechatronics Engineering, Tarsus Technology Faculty, Mersin University, Tarsus, Turkey)

Industrial Lubrication and Tribology

ISSN: 0036-8792

Article publication date: 7 August 2018

Issue publication date: 22 August 2018

Abstract

Purpose

This paper aims to investigate the effect of fly ash reinforcement ratio (Rr) and sintering temperature (T) on the transverse rupture strength (TRS), hardness and density of fly ash reinforced bronze-based composite materials by using multi-objective Taguchi technique, analysis of variance (ANOVA) and regression analysis.

Design/methodology/approach

The bronze-based composite materials containing 5, 10 and 15 Wt.% fly ashes were prepared by using spark plasma sintering carried out under a pressure of 35 MPa, at 750, 800 and 850 °C for 3 min. Sintering temperature and fly ash reinforcement ratio were considered as input parameters; the TRS, hardness and density were considered as output parameters. Experiments were designed according to Taguchi L9 orthogonal array. Multi signal-to-noise ratio (MSNR) was computed to define the optimal process parameters. ANOVA was conducted to detect the importance of the input parameters for the process performance. Moreover, the linear model was developed for predicting the performance parameters by using regression analysis.

Findings

Fly ash can be a good alternative as reinforcement to reduce the cost for composite materials. Optimal process parameters had obtained 850°C sintering temperature and 5 per cent reinforcement ratio by using multi-objective Taguchi technique. The per cent contributions of the control factors on the performance parameters had obtained sintering temperature (95.78 per cent) and fly ash reinforcement ratio (3.00 per cent) with ANOVA. The obtained results indicate that the sintering temperature was found to be the dominant factor among controllable factors. However, the reinforcement ratio showed an insignificant effect.

Originality/value

It has been indicated that multi-objective Taguchi technique and regression analysis are effective and powerful tools in modeling and simultaneous optimization of quality characteristics for composite materials.

Keywords

Citation

Kus, H., Basar, G. and Kahraman, F. (2018), "Modeling and optimization for fly ash reinforced bronze-based composite materials using multi objective Taguchi technique and regression analysis", Industrial Lubrication and Tribology, Vol. 70 No. 7, pp. 1187-1192. https://doi.org/10.1108/ILT-02-2018-0059

Publisher

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Emerald Publishing Limited

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