Performance Improvement of Wire-Cut Electrical Discharge Machining Process Using Cryogenically Treated Super-Conductive State of Monel-K500 Alloy

Yupapin, P.; Trabelsi, Youssef; Nattappan, Anbuchezhian; Boopathi, Sampath

doi:10.1007/s40997-022-00513-0

Cited by 65 publications

(3 citation statements)

References 35 publications

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“…The error deviations of the predicted results from the confirmation experiments of all welding characteristics are calculated as 1.302%, 1.215%, and 0.557%. These error values are less than 5%, which is an acceptable limit [45]. Thus, the forecasted results are very close to the confirmation experiments (table 6).…”

Section: Confirmation Experimentssupporting

confidence: 85%

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Paul,

Thilagham,

K G

et al. 2024

Eng. Res. Express

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The boron carbide (B4C) reinforced AA5052-H32 aluminium composite has been initially fabricated by stir casting method. Friction stir welding (FSW) is used to join two similar AA5052-H32/B4C plates using a titanium nitride (TiN)-coated square tool. The tool wear loss, microhardness, and tensile strength of FSW joints have been investigated by the Taguchi technique. Welding parameters consist of TiN coating thickness, tool rotational speed, welding speed, and axial thrust. Taguchi analysis is used to determine the influences, contributions, and best values of welding parameters to meet optimal welding attributes. The maximum tensile strength (140.134 MPa) has been obtained by increasing the TiN coating thickness, tool's rotational speed, axial thrust, and welding speed. At the highest tool speed and axial trust, the maximum microhardness (158.3 HV) has been attained. The minimum tool wear loss (9.023 %) has been obtained by welding at a moderate speed with maximum rotational speed, axial thrust, and TiN coating thickness. Fractography and SEM analysis have been used to analyze the microstructural behaviour of welded aluminium composite materials and worn-out tool surfaces. The Additive Ratio Assessment (ARAS) multi-criteria optimization technique has been applied to predict the best welding parameters to attain the optimal welding characteristics. The 40 µm TiN coating thickness, 1200 rpm tool rotation, 20 mm/min welding speed, and 6000N axial force are predicted to achieve 108.6 MPa tensile strength, 110 HV microhardness, and 9.37% tool wear loss.

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Section: Confirmation Experimentssupporting

confidence: 85%

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Paul,

Thilagham,

K G

et al. 2024

Eng. Res. Express

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“…Taguchi analysis has been accomplished to determine the significance and percentage of contributions of coating parameters to the responses [19,20]. The percentage contribution of parameters has been calculated by the fraction of the sequential sum of the square to the total sum of the square (tables 5, 6, and 7) [21].…”

Section: Methodsmentioning

confidence: 99%

An experimental investigation of Quench Polish Quench (QPQ) coating on AISI 4150 steel

Boopathi¹

2022

Eng. Res. Express

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In this research, the hardness, layer thickness, and corrosion rate of the nitro-carburizing coating on AISI 4150 steel using the Quench-Polish-Quench (QPQ) process have been investigated. Nitro-carburizing temperature (T), nitro-carburizing time (tc), and oxidation time (to) are considered coating parameters. The experiments were designed and analyzed to investigate the effects of coating parameters on responses by the Taguchi method. A 590 °C temperature of the nitro-carburizing solution and a 145-minute duration of both the nitro-carburizing and oxidizing processes have been predicted to obtain the maximum micro-hardness (504.71 HV) and coating-layer thickness (13.60 µm). A 570 °C temperature of the nitro-carburizing solution with the same process time is predicted to obtain the lowest corrosion rate (1.27 mm/miles). The optimum parameters set are used to perform Scanning electron microscopy (SEM), X-ray diffraction (XRD), and Energy-dispersive X-ray Spectroscopy (EDS) analyses.

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“…GEC is reduced to 0.915 mg/min while increasing air pressure to their middle level (7 bar) because the dielectric uid is properly used. GEC is rapidly increased (1.576 mg/min) when both AR and OR are increased to 8 bars at a high OR due to both unburned oil-mist from the interruption of spark at a high pressure level and the increasing machining rate (Yupapin et al 2022;Boopathi 2022).…”

Section: Gas Emission Concentartion Analysismentioning

confidence: 99%

Sustainable developments in near-dry electrical discharge machining process using sunflower oil-mist dielectric fluid

Boopathi¹,

Alqahtani

Mubarakali

et al. 2023

Environ Sci Pollut Res

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In this study, a near-dry electrical discharge machining (NDEDM) process has been conducted using compressed air mixed with a low quantity of biodegradable re ned sun ower oil (called oil-mist) to investigate the machining characteristics. The in uences of oil ow rate (OR), air pressure (AR), spark current (SC), and pulse width (PW) on gas emission concentration (GEC), machining rate (MR), and surface roughness (SR) by the Box-Behnken method. The TOPSIS (The Technique for Order of Preference by Similarity to the Ideal Solution) technique estimates the parameter optimal set for the best machining characteristics. The optimal machining parameters have been used to examine the microstructure of the machined surfaces using a scanning electron microscope (SEM) and energy-dispersive X-ray spectroscopy (EDS) analysis. The 0.981 mg/min of GEC, 55.145 mg/min of machining rate, and 2.43 µm of surface roughness have been attained by the 14 ml/min ow rate, 7 bar of air pressure, 10 A spark current, and 48 µs pulse duration of the sun-ower oil-mist NDEDM process.

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Performance Improvement of Wire-Cut Electrical Discharge Machining Process Using Cryogenically Treated Super-Conductive State of Monel-K500 Alloy

Cited by 65 publications

References 35 publications

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

An experimental investigation of Quench Polish Quench (QPQ) coating on AISI 4150 steel

Sustainable developments in near-dry electrical discharge machining process using sunflower oil-mist dielectric fluid

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Performance Improvement of Wire-Cut Electrical Discharge Machining Process Using Cryogenically Treated Super-Conductive State of Monel-K500 Alloy

Cited by 65 publications

References 35 publications

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B4C) using titanium nitride coated tool

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B4C) using titanium nitride coated tool

An experimental investigation of Quench Polish Quench (QPQ) coating on AISI 4150 steel

Sustainable developments in near-dry electrical discharge machining process using sunflower oil-mist dielectric fluid

Contact Info

Product

Resources

About

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool