Modeling and optimization of material removal rate and surface roughness for Al6010 HMMCs on WEDM using Response Surface Methodology
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초록
A Hybrid metal matrix composite (HMMCs) material has gained a lot of interest among industries due to its superiorproperties. Some of these properties are light in weight, high strength & rigidity, and high-temperature resistance. However,due to poor machinability, faster tool wear, machining of such materials exhibits greater challenges. The WEDM of aluminumbasedHMMC Al6010 (10% SiC and 15% Al2O3) is investigated. The input variable viz., pulse on time (Ton), pulse of time (Toff),peak current (I) and servo voltage (V) of the WEDM process was modelled using Response Surface Methodology (RSM). Theinvestigation was carried out through varying their effect on the material removal rate (MRR) and surface roughness (Ra). Using desirability analysis an attempt has been made to optimize the multiple responses simultaneously, the MRR and Ra wereoptimized for desirability and optimum result found as Ra = 1.58 μm and MRR = 18.31 mm3/min corresponding to V = 33.32volt, Ton = 117.45 μs, Toff = 45.041 μs and I = 219.70 A. In addition, the analysis of variance (ANOVA) is performed todetermine the significance of the selected input variable. It has been found that as peak current increases, MRR increases andRa decreases. The RSM model's validity and appropriateness are confirmed by the test results.
Abstract
A Hybrid metal matrix composite (HMMCs) material has gained a lot of interest among industries due to its superiorproperties. Some of these properties are light in weight, high strength & rigidity, and high-temperature resistance. However,due to poor machinability, faster tool wear, machining of such materials exhibits greater challenges. The WEDM of aluminumbasedHMMC Al6010 (10% SiC and 15% Al2O3) is investigated. The input variable viz., pulse on time (Ton), pulse of time (Toff),peak current (I) and servo voltage (V) of the WEDM process was modelled using Response Surface Methodology (RSM). Theinvestigation was carried out through varying their effect on the material removal rate (MRR) and surface roughness (Ra). Using desirability analysis an attempt has been made to optimize the multiple responses simultaneously, the MRR and Ra wereoptimized for desirability and optimum result found as Ra = 1.58 μm and MRR = 18.31 mm3/min corresponding to V = 33.32volt, Ton = 117.45 μs, Toff = 45.041 μs and I = 219.70 A. In addition, the analysis of variance (ANOVA) is performed todetermine the significance of the selected input variable. It has been found that as peak current increases, MRR increases andRa decreases. The RSM model's validity and appropriateness are confirmed by the test results.
참고문헌 (20)
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