Investigation of the WEDM of Al/B4C/Gr reinforced hybrid composites using the Taguchi method and response surface methodology

Autor: Ergün Ekici, Abdil Kuş, Ali Riza Motorcu
Přispěvatelé: Uludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu/Makine Programı Bölümü., Kuş, Abdil, AAG-9412-2021
Rok vydání: 2016
Předmět:
Optimization
Machinability
0209 industrial biotechnology
Surface roughness (Ra)
Materials science
Metal-matrix composites
Performance
02 engineering and technology
Electric Discharge Machining
Wire
Tool Wear
Taguchi methods
Surface roughness
Analysis of variance (ANOVA)
020901 industrial engineering & automation
Wear
Electric discharge machining
Response surface methodology
Effective parameters
Surface properties
Materials Chemistry
Hybrid composites
Composite material
Wire-edm
Materials of engineering and construction. Mechanics of materials
Machining parameters
Metallurgy
Rsm
Materials science
composites
021001 nanoscience & nanotechnology
Roughness
Wire electrical discharge machining
Correlation coefficient
Al/B4C/Gr hybrid composite
Parameters
TA401-492
Ceramics and Composites
Material removal rate
Taguchi method
Electric discharges
Hybrid materials
0210 nano-technology
Aluminum
Zdroj: Science and Engineering of Composite Materials, Vol 23, Iss 4, Pp 435-445 (2016)
ISSN: 2191-0359
0792-1233
DOI: 10.1515/secm-2014-0063
Popis: 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 (WS), pulse-on time (Ton) and pulse-off time (Toff) were chosen as the control factors. The L27 (33) 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 A3B3C3 and A1B1C2. In addition, second-order predictive models were developed for MRR and Ra; correlation coefficients (R2) were calculated as 0.992 and 0.63.
Databáze: OpenAIRE
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