Optimization of surface roughness and Kerf width by wire cut-electrical discharge machining on Inconel 625

Kumar, Anoop; Kumar, U. Ashok; Laxminarayana, P.

doi:10.1016/j.matpr.2020.02.955

Cited by 6 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of research works have been carried out to find the effect of process parameters on the performance of WEDM [7][8][9] and for WEDM process optimization. [10][11][12][13][14] Researchers implemented Taguchi method, Fuzzy based Taguchi technique, FIS coupled TLBO, ANN based GWO, ANN based TLBO, ANN based Jaya algorithm and ANN based PSO to optimize WEDM process during Inconel 625 machining. [10][11][12][13][14] However, a very less work was reported on the use of multi objective optimization algorithm in WEDM operation of Inconel 625.…”

Section: Introductionmentioning

confidence: 99%

“…[10][11][12][13][14] Researchers implemented Taguchi method, Fuzzy based Taguchi technique, FIS coupled TLBO, ANN based GWO, ANN based TLBO, ANN based Jaya algorithm and ANN based PSO to optimize WEDM process during Inconel 625 machining. [10][11][12][13][14] However, a very less work was reported on the use of multi objective optimization algorithm in WEDM operation of Inconel 625. 15 Recently, Multi-objective Grasshopper Optimization Algorithm has emerged as an efficient algorithm used in solving multi objective optimization problems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A RSM based MOGOA for process optimization during WEDM of Inconel 625

Sinha

Majumder

Gupta

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

Inconel 625 is a super alloy that has excellent thermal and mechanical properties but is arduous to machine with conventional machining processes due to high melting point and hardness. Wire Electro Discharge machining, that have been an avowed unconventional process of machining that is mainly applied for the machining of tough and hard materials such as Inconel 625. An attempt, in this article, have been made to optimize the WEDM process parameters like servo voltage, peak current, spark-on time, spark-off time while machining on Inconel 625. The study considers Material Removal Rate (MRR) and Surface Roughness (SR) as performance parameters of machining process. L16 orthogonal array is implemented to design the experiments. Mathematical relations between the response parameters and the input variables are computed using of Response Surface Methodology (RSM). The mathematical models are then employed as a fitness function in the Multi-objective Grasshopper Optimization Algorithm (MOGOA) for determining optimal process parameters. Later, a comparison of MOGOA has been done with Non-dominated Sorting Genetic Algorithm II (NSGA- II) and Multiple Objective Particle Swarm Optimization (MOPSO) and found superior to both. Also, for responses like surface roughness (SR) and material removal rate (MRR), the predicted values in the present study are found to be in good proximity to the experimented values.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A RSM based MOGOA for process optimization during WEDM of Inconel 625

Sinha

Majumder

Gupta

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

show abstract

“…From the forgoing, it can be seen that previous researchers optimized the machining process with respect to various input process parameters. In wire electrical discharge machining, pulse-on time, wire feed rate and gap voltage are the input parameters with the highest influence on surface roughness and material removal rate (Kumar et al, 2020), (Patel & Vaghmare, 2013). Improved machining conditions can be obtained if these parameters are combined for optimization, holding constant all other input process parameters at their optimal levels.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Wire Electrical Discharge Machining of Inconel-625

Nsanzumuhire

Munyazikwiye²,

Niyigaba³

et al. 2022

Preprint

View full text Add to dashboard Cite

Inconel-625 is a nickel-alloy based material with superior properties such as high fatigue strength, high hardness, and oxidation resistance. These properties make it suitable for applications in marine, aerospace, and power generation industries. Due to its high hardness, the material is difficult to machine by conventional machining methods such as turning, milling or grinding. For this reason, an alternative method known as Wire Electrical Discharge Machining (WEDM) can be adopted for such materials. In this paper, WEDM is optimized through Taguchi optimization technique. Inconel-625 plates of 10 mm thickness were used as specimen in experimental work. It was found out that, the minimum surface roughness (SR) can be achieved for pulse-on time ( t on ), wire feed rate ( f w ) and gap voltage ( v g ) of 0.4 µ s, 8 mm/min and 68 V, respectively. It was also observed that for maximum material removal rate (MRR), the pulse-on time, wire feed rate and gap voltage should be 0.6 µ s, 10 mm/min, and 56 V, respectively. Finally, for improved material removal rate and surface roughness, it was observed that the pulse-on time, wire feed rate, and gap voltage should be 0.5 µ s, 8 mm/min, and 62 V, respectively.

show abstract

“…It has a good ability to cut the conductive material without being affected by hardness, toughness, or melting point, and usually does not need subsequent finishing operation [1][2][3]. Currently, EDM has been widely used for manufacturing processes, such as gear [4][5], molding [6], microelectrode, micro hole [7], and cardiovascular stent [8][9]. The EDM utilizes an electric spark between electrode and workpiece that will cause a local melting of the workpiece [10].…”

Section: Introductionmentioning

confidence: 99%

The Effect of EDM Process on the Microstructure of CP-Titanium Grade 2 and AISI 316 L in Cardiovascular Stent Manufacturing

Pujiyulianto

Amalia

Wahyuningsih

et al. 2020

KEM

View full text Add to dashboard Cite

The aim of this research is to investigate the effect of the EDM process on the microstructure of CP-Titanium grade 2 and AISI 316 L in cardiovascular stent manufacturing. The microstructure was observed by an optical light microscope, and the microhardness test is conducted by microhardness vikers to validate the phase that is formed on the material. The pulse currents which were used in the manufacturing of stent by die sinking EDM were 1.5 A and 6.0 A. The experimental results show that the microstructure of CP-Titanium grade 2 is transformed after EDM in cardiovascular stent manufacturing, but it does not occur in the material AISI 316 L. The microstructure of CP titanium grade 2 is transformed from equiaxed α to be TiH for 1.5 A, and equiaxed α to be α’ martensite and TiH for the pulse current 6.0 A. The hardness of equiaxed α, α’ martensite, and TiH are 108 HVN, 113 HVN, and 254 HVN, respectively. The HAZ only occurs in the CP-Ti 2, and its depth for 1.5 A and 6.0 A are 45 μm and 73 μm, respectively.

show abstract

Optimization of surface roughness and Kerf width by wire cut-electrical discharge machining on Inconel 625

Cited by 6 publications

References 2 publications

A RSM based MOGOA for process optimization during WEDM of Inconel 625

A RSM based MOGOA for process optimization during WEDM of Inconel 625

Optimization of Wire Electrical Discharge Machining of Inconel-625

The Effect of EDM Process on the Microstructure of CP-Titanium Grade 2 and AISI 316 L in Cardiovascular Stent Manufacturing

Contact Info

Product

Resources

About