EXPERIMENTAL STUDY OF PROCESS PARAMETERS ON MACHINING PERFORMANCE IN ELECTRO-DISCHARGE MACHINING OF 6061Al/TiC/Gr COMPOSITES
Autor: | S. JEYAPRAKASAM, M. KATHIRSELVAM, C. VELMURUGAN, R. VENKATACHALAM |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Surface Review and Letters. 29 |
ISSN: | 1793-6667 0218-625X |
DOI: | 10.1142/s0218625x22500494 |
Popis: | This study employs Taguchi orthogonal design (L9) to optimize the machining parameters of electro-discharge machining (EDM). The aluminum matrix composite (AMC) with 16[Formula: see text]wt.% titanium carbide (TiC) and 4[Formula: see text]wt.% graphite (Gr) specimen was prepared by stir casting process. This study involves three control parameters with three levels, namely pulse current, voltage and fluid pressure to predict the process response, such as material removal rate (MRR) and surface roughness (SR) of the worn surface. Maximum MRR of 0.1661[Formula: see text]g/min was attained for 10[Formula: see text]A, 500[Formula: see text]V and 15[Formula: see text]kgf/cm2 fluid pressure with corresponding roughness of 11.43[Formula: see text]m and the minimum value of 7.51[Formula: see text][Formula: see text]m was observed for 10[Formula: see text]A, 100[Formula: see text]V and fluid pressure of 5[Formula: see text]kgf/cm2. A regression model was developed and the effect of control parameters on process responses were determined by analysis of variance (ANOVA). According to ANOVA outcome, the machining parameters which control the process response MRR were determined as voltage (47.94%), pulse current (33.19%) and fluid pressure (17.58%). Similarly, the SR was affected by machining parameters voltage (55.17%), pulse current (22.41%) and flushing pressure (21.47%). The optimum machining parameters were predicted and confirmed by conducting experiments with reasonable error of 2.49% and 2.02% for MRR and SR, respectively. Surface characteristics of the machined AMC was analyzed by scanning electron microscope (SEM) to observe the defects like craters, voids, glued debris and recast layers. |
Databáze: | OpenAIRE |
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