STUDY ON THE INFLUENCE OF ZINC-COATED WIRE MATERIAL ON 3D PROFILE MACHINING OF INCONEL 825 ALLOY USING WEDM PROCESS

被引:4
作者
Arulselvan, S. [1 ]
Ravindran, D. [2 ]
Selvakumar, G. [3 ]
Moshi, A. arul marcel [4 ]
机构
[1] Unnamalai Inst Technol, Dept Mech Engn, Kovilpatti 628502, Tamil Nadu, India
[2] Thamirabharani Engn Coll, Dept Mech Engn, Tirunelveli 627358, Tamil Nadu, India
[3] Sri Sivasubramaniya Nadar Coll Engn, Dept Mech Engn, Kalavakkam 603110, Tamil Nadu, India
[4] Natl Engn Coll, Dept Mech Engn, Kovilpatti 628503, Tamil Nadu, India
关键词
WEDM; Inconel; 825; ANOVA; GRA; SEM; DIE CORNER ACCURACY; PROCESS PARAMETERS; SURFACE-ROUGHNESS; OPTIMIZATION; EDM; TAGUCHI;
D O I
10.1142/S0218625X22501517
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The experimental analysis carried out in this paper aimed at the selection of optimal machining conditions for the 3D profile machining of Inconel 825 alloy using Wire Electrical Discharge Machining (WEDM). It was noticed that the 3D profile machining of Inconel 825 alloy using WEDM process has not been performed and reported so far by the researchers in this domain to the best of our knowledge. As the machining of Inconel 825 alloy is difficult using the conventional machining processes, nontraditional machining is generally used. As the material is conductive, the WEDM process is suitable to machine this material. The effects of input factors such as wire material, pulse on-time, pulse off-time, peak current, wire tension and gap voltage on the material removal rate (MRR), surface roughness (SR) and dimensional shift (DS) have been investigated using L-18 mixed-level orthogonal array of experiments. The DS value for every machining condition has been predicted and inputted into the CNC system as the wire offset value to enhance the dimensional accuracy of the product. The parametric analysis has been done by Minitab software. Analysis of variance (ANOVA) has been used to find the significant parameters affecting surface quality. The regression equations have also been formulated to study the adequacy of the model. Multi-response optimization based on the Gray Relational Analysis has been employed and the results that optimize the MRR and SR simultaneously have been suggested. SEM images have been taken on the machined surfaces to compare the surface finish on the specimens.
引用
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页数:11
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