NDLI: Parametric Optimization of Die Sinking EDM in AISI D2 Steel considering Canola oil as Dielectric using TOPSIS and GRA

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Parametric Optimization of Die Sinking EDM in AISI D2 Steel considering Canola oil as Dielectric using TOPSIS and GRA

Content Provider	Scilit
Author	Jana, Anup Kumar Kumar, R. Ranjith Mohanty, Sarat Chandra Rao, K. Mangapathi Shanker, V. Guru Reddy, A. Yashwanth
Copyright Year	2021
Description	Journal: Iop Conference Series: Materials Science and Engineering A colossal research work is being consummated to propose the optimal machining parameters while necessitating current machining techniques to attain elegant products. This research work foregrounded the optimum process parameters of die sinking EDM with 8mm diameter copper electrode during machining AISI D2 steel. Taguchi’s L9 OA method was adopted to design 9 experiments in total and Pulse on time $(T_{on}$), Servo voltage (SV) and Peak current (IP) are chosen as input parameters. Three levels of each parameter were selected for designing the experimentation. A natural vegetable oil named Canola oil which is an extract from Canola seeds is taken as dielectric and all the values of Material Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) for each experiment were noted as the output responses. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Grey Relational Analysis (GRA) which are two Multi-Criteria Decision Making (MCDM) methods were accompanied for determination of ideal parameters for machining AISI D2 steel. Ultimately it is espied that the coalescence of level 3 of pulse on time, level 2 of Peak Current and level 2 of servo voltage propounds the optimum result by performing TOPSIS and GRA.
Related Links	https://iopscience.iop.org/article/10.1088/1757-899X/1057/1/012061/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/1057/1/012061
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	1
Volume Number	1057
Language	English
Publisher	IOP Publishing
Publisher Date	2021-02-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Manufacturing Engineering Surface Roughness Decision Making Parameters for Machining Aisi D2 Steel
Content Type	Text
Resource Type	Article

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