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![Fig 3 SEM image of treated and untreated Copper electrode [21]](publication/343757060/figure/fig2/AS:926961266339842@1598016196735/SEM-image-of-treated-and-untreated-Copper-electrode-21_Q320.jpg)
![Fig 4 SEM image of treated and untreated brass electrode [21]](publication/343757060/figure/fig3/AS:926961266339843@1598016196772/SEM-image-of-treated-and-untreated-brass-electrode-21_Q320.jpg)
![Fig-5 SEM image of treated and untreated tungsten electrode [21]](publication/343757060/figure/fig4/AS:926961266343937@1598016196810/Fig-5-SEM-image-of-treated-and-untreated-tungsten-electrode-21_Q320.jpg)
Novel techniques are being focused on the enrichment of the performance characteristics under different machining processes. Cryogenic is one of such novel practices that tunes the surface integrity with vast variations with the traditional machining processes. Dimensional accuracy, surface roughness, material removal rate with less reduction in sc...
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Discharge Machining is a non-traditional machining technique and usually applied for hard metals and complex shapes that difficult to machining in the traditional cutting process. This process depends on different parameters that can affect the material removal rate and surface roughness. The electrode material is one of the important parameters in...
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... It was observed that 13.25% of tool wear and 15.75% in surface irregularity have been reduced by the cryogenically treated EDM process [41,42]. Dimensional accuracy, tool wear rate, surface roughness, the material removal rate of cryogenic treated WEDM process have been investigated to find the best parameters [43]. As per the aforementioned literature, the cryogenic treated tools and workpieces were experimented with reducing the TWR, and SR, and increased the MRR by controlling various parameters in the conventional EDM and WEDM processes. ...
In this research, the mixing of compressed air with the minimum quantity of water is used as a dielectric medium and the cryogenically cooled molybdenum wire is used as a tool in wire-cut electrical discharge machining (WEDM) to encourage the eco-friendly production, called cryogenically cooled near-dry WEDM process. The nitrogen gas-cooled wire tool is utilized to cut the Inconel 718 alloy workpiece to prevent wire breakage and maintain enough electrical conductivity. The preliminary experiments were conducted to compare wet, dry, near-dry, and cryogenically cooled near-dry WEDM processes. It was revealed that cryogenic cooled near-dry WEDM is better performance than dry, near-dry WEDM except for the wet process. The systematic experiments of eco-friendly cryogenically cooled near-dry WEDM have been conducted to analyse the effect of input factors like spark current, pulse-width, pulse-interval, and mixing water flow rate on material removal rate (MRR) and surface roughness (SR) using Box–Behnken method. The fitted models and response surface graphs were developed to analyse the influences of input factors on each response parameter. It was concluded that MRR and SR of cryogenically cooled near-dry WEDM are increased by maximizing spark current, pulse-width, and flow rate, conversely, both responses were decreased by increasing pulse-interval. The technique for order of preference by similarity to ideal solution (TOPSIS) technique has been applied to predict the best combination of input factors for satisfying the optimal values of both responses.
Wire electric discharge machining (WEDM) is one amongst the unconventional machining processes which might cut all kinds of shapes with an accuracy of +/−0.001mm. It will cut the materials that conduct electricity and can even cut the exotic metals like tungsten carbide, Hastelloy, Inconel etc. In the present work, machining on Inconel 600 by wire EDM with cryogenically treated brass wire is performed. Brass wire of 0.25mm diameter has been cryogenically treated at −90 ° C, −100 ° C and −110 ° C temperatures separately. An Experimental layout is designed as per Taguchi’s L-9 orthogonal array and experiments were conducted by varying machining parameters viz. Voltage, Pulse ON time and Pulse OFF time. The machining parameters are optimized using Taguchi’s methodology for minimum surface roughness and maximum metal removal rate (MRR). A Mathematical regression model for surface roughness and MRR is generated with the help of regression analysis. Through the Analysis of Variance (ANOVA) It was found that for MRR, pulse on time is the foremost contributing factor with 32.69% and for surface roughness, pulse off time is the foremost contributing factor with 23.59%.
