Kim J Seelan 1 ; Rajesh R 2 ; Liji R. F 3
1 John Cox Memorial CSI Institute of Technology , India .
2 Noorul Islam University, India .
3 John Cox Memorial CSI Institute of Technology , India .

Article Id - IJMET_08_05_106, Pages : 1022-1033

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The main objective of the present study is to find which and all parameters affects the machinability of Al-TiB2 (LM25) using RSM and Grey Relational Analysis for Electric Discharge Machining (EDM). The study done also evaluates which levels of input parameters affect the machinability. For the present study, Al-TiB2 Metal Matrix Composite (MMC) were fabricated/casted by stir casting route. Non-conventional machining process Electric Discharge Machining (EDM) was used for the study. Voltage, Discharge Current, Spark-on-Time and Spark-off-Time were selected as process parameters for the present study. The output parameters considered for this study are Metal Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (Ra). For design of experiment, Response Surface Methodology (RSM) were used and 3 level 30 experimental array was designed. For optimization, Grey relational analysis (GRA) method was implemented.


AlTiB2, LM25, Electric Discharge Machining (EDM), Response Surface Methodology (RSM), Grey relational analysis (GRA).

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Kim J Seelan, Rajesh R and Liji R. F, Optimization of EDM Parameters Using RSM and Grey Relational Analysis For Aluminium Titanium Diboride (Al-Tib2), International Journal of Mechanical Engineering and Technology, 8(5), 2017, pp. 1022- 1033


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