Dr.A.PERUMAL
@sethu.ac.in
ASSOCIATE PROFESSOR
SETHU INSTITUTE OF TECHNOLOGY
I AM PERUMAL WORKING AS A ASSISTANT PROFESSOR. MY TEACHINING EXPERIENCE 10 YEAR.
EDUCATION
B.E (MECHANICAL ENGINEERING)
M.E (MANUFACTURING ENGINEERING)
PH.D (MACHINING)
RESEARCH INTERESTS
Material, MACHINING OF EDM,WEDM,AWJM
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
A. Perumal, C. Kailasanathan, Vincent Herald Wilson, T. Sampath Kumar, B. Stalin, and P.R. Rajkumar
Elsevier BV
A. Perumal, C. Kailasanathan, Balasubramaniam Stalin, S. Suresh Kumar, P. R. Rajkumar, T. Gangadharan, G. Venkatesan, N. Nagaprasad, V. Dhinakaran, and Ramaswamy Krishnaraj
Hindawi Limited
The Ti-6Al-2Sn-4Zr-2Mo alloy was machined using the wire electrical discharge machining (WEDM) method in this research. The consequences of input values like pulse on duration, wire tension, and wire feed on metal removal rate (MRR) and surface roughness (SR) have indeed been observed. After conducting 27 experiments using Taguchi’s L27 type of research technique, empirical designing and analysis of variance (ANOVA) were performed. For process optimization, the Taguchi technique, which is based on the grey relational analysis approach, is used. The results show that a material removal rate of 0.293 mm3/min was obtained with factors of 10 µs pulse on duration, 7 m/min of wire feed, and 12 g of wire tension (the higher the better), and surface roughness of 2.129 µm was obtained with factors of 6 µs pulse on duration, 3 m/min of wire feed, and 8 g of wire tension (the lower the better). The percentage of errors between results obtained and grey relational analysis (GRA) predicted results varies around 6%. Wire electrical discharge machining with Ti-6242 alloy to optimum conditions resulted in better MRR and surface integrity with good surface finish and integrity as evidenced by a substantial reduction in the crack formation, lumps, and accumulated surfaces.
A. Perumal, A. Azhagurajan, S. Suresh Kumar, R. Prithivirajan, S. Baskaran, P. R. Rajkumar, C. Kailasanathan, and G. Venkatesan
Springer Science and Business Media LLC
Nowadays, the Wire Electrical Discharge Machining (WEDM) process was also working to cut the hard titanium alloys. During the WEDM, the generation of high temperatures was used to melt and vaporize and also flushed away the hard titanium alloy. The tough Ti–6Al–2Sn–4Zr–2Mo alloy was machined in the current research by the WEDM method and machining features such as surface roughness (SR) and Material Removal Rate (MRR) were statistically evaluated to achieve optimum performance. The investigations were performed using the Taguchi orthogonal array technique. The optimum process factors were defined from the main effect plot 32 μs, 3 m/min, and 12 g for material removal rate and as 10 μs, 32 μs, 7 m/min, and 12 g for surface roughness. The best essential parameters were established from the Analysis of variance (ANOVA) analysis. The pulse on-time current and pulse off time were identified as important parameters for the material removal rate with a contribution of 23.60%, 5.91%, and 65.02%. The best essential parameters for surface roughness were pulse on time, pulse off time, and a combination of pulse on-time and pulse off time with a percentage contribution of 22.71% and 36.88% respectively.Moreover, the machined surface was examined using the Scanning Electron Microscope (SEM).
A. Perumal, A. Azhagurajan, R. Prithivirajan, and S. Suresh Kumar
Springer Science and Business Media LLC
This investigation exposes electrical discharge machine (EDM) technique in expelling the metal with a conducted copper electrode from the Ti–6Al–2Sn–4Zr–2Mo alloy. The alloy Ti–6Al–2Sn–4Zr–2Mo has the highest resistance, high-temperature detection, high tensile strength, and high yield strength. Ti–6Al–2Sn–4Zr–2Mo alloy is commonly used for applications such as aerospace, medical equipment, automotive parts, and nuclear power plants. EDM provides easy machinability and excellent surface finishes. Machine parameters of primary noteworthiness, such as Discharge Current (I), Spark on time (μs), and Tool Diameter (mm), are considered using the Taguchi L27 orthogonal array. Metal removal rate (MRR), tool wear rate (TWR), and overcut (OC) perpendicularity are investigated with the help of mean effective plots. Multi response optimization to maximize the material removal rate (MRR) and minimize the tool wear rate (TWR) and over cut (OC) on the surface of the workpiece has been analyzed by Grey relational analysis (GRA). The result expresses that spark on time (Ton) contributes (6.22%) more on affecting the machining characteristics followed by electrode diameter (76.97%) and discharge current (16.97%). From the F-test, it is assumed that all the machining parameters have a significant influence on responses. Accordingly an optimum combination of machining parameters is also determined.
Suresh Kumar S., Thirumalai Kumaran S., Velmurugan G., Perumal A., Sekar S., and Uthayakumar M.
Elsevier BV
T. Gangadharan, C. Kailasanathan, P. R. Rajkumar, A. Perumal, and K. R. Chitra Priya Darshini
Springer Science and Business Media LLC
A. John Rajan, C. Kailasanathan, B. Stalin, P.R. Rajkumar, T. Gangadharan, and A. Perumal
Elsevier BV
A. Perumal, C. Kailasanathan, B. Stalin, P.R. Rajkumar, T. Gangadharan, and G. Venkatesan
Elsevier BV
A Perumal, A Azhagurajan, S Baskaran, R Prithivirajan, and P Narayansamy
IOP Publishing
Nowadays, electrical discharge machining process is successfully employed to machining hard titanium alloys compared to other non-conventional machining processes. The generation high temperature is utilized to melt and vaporize the hard titanium alloy during electrical discharge machining. The process parameters are highly influenced on the machining performance and need to be studied for optimum results. In the present research, the hard Ti-6Al-2Sn-4Zr-2Mo alloy was machined by EDM process and machining characteristics such as material removal rate, tool wear rate and surface roughness were analyzed statistically to get the optimum performance. The experiments were carried out based on the Taguchi orthogonal array method. From the statistical analysis of experimental results, the most significant parameters were identified as peak current, pulse on time and voltage. In addition to that SEM analysis was used to characterize the machined surface. The results of SEM analysis indicated that craters, surface cracks, globules and recast layer present on the machined surface.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
Publications
Statistical evaluation and performance analysis of electrical discharge machining (EDM) characteristics of hard Ti-6Al-2Sn-4Zr-2Mo alloy