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Başlık: Investigation of the WEDM of Al/B4C/Gr reinforced hybrid composites using the Taguchi method and response surface methodology
Yazarlar: Motorcu, Ali Rıza
Ekici, Ergün
Uludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu/Makine Programı Bölümü.
Kuş, Abdil
AAG-9412-2021
57196667786
Anahtar kelimeler: Materials science
Al/B4C/Gr hybrid composite
Material removal rate
Surface roughness
Taguchi method
Wire electrical discharge machining
Metal-matrix composites
Wire-edm
Parameters
Optimization
Machinability
Wear
Rsm
Performance
Roughness
Aluminum
Electric discharge machining
Electric discharges
Hybrid materials
Surface properties
Surface roughness
Taguchi methods
Wire
Correlation coefficient
Effective parameters
Hybrid composites
Machining parameters
Response surface methodology
Surface roughness (Ra)
Wire electrical discharge machining
Analysis of variance (ANOVA)
Yayın Tarihi: 6-Eki-2014
Yayıncı: De Gruyter Poland
Atıf: Motorcu, A. R. vd. (2016). "Investigation of the WEDM of Al/B4C/Gr reinforced hybrid composites using the Taguchi method and response surface methodology". Science and Engineering of Composite Materials, 23(4), 435-445.
Özet: In this study, the effects of machining parameters on the material removal rate (MRR) and surface roughness (Ra) were investigated during the cutting of Al/B4C/Gr hybrid composites by wire electrical discharge machining (WEDM). Wire speed (W-S), pulse-on time (T-on) and pulse-off time (T-off) were chosen as the control factors. The L-27 (3(3)) orthogonal array in the Taguchi method was used in the experimental design and for the determination of optimum control factors. Response surface methodology was also used to determine interactions among the control factors. Variance analysis (ANOVA) was applied in the determination of the effects of control factors on the MRR and Ra. According to the ANOVA results, the most effective parameters on MRR and Ra were wire speed with a 85.94% contribution ratio, and pulse-on-time with a 47.7% contribution ratio. The optimum levels of the control factors for MRR and Ra were determined as A(3)B(3)C(3) and A(1)B(1)C(2). In addition, second-order predictive models were developed for MRR and Ra; correlation coefficients (R-2) were calculated as 0.992 and 0.63.
URI: https://doi.org/10.1515/secm-2014-0063
https://www.degruyter.com/document/doi/10.1515/secm-2014-0063/html
http://hdl.handle.net/11452/29853
ISSN: 0792-1233
2191-0359
Koleksiyonlarda Görünür:Scopus
Web of Science

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