In the present research major focus is on the synthesis of materials that can be easily used in small portable devices and as energy storage devices. Here we focused on a new family of 2D materials Ti3C2 (MXenes). Ti3AlC2 (MAX phase) was intercalated using selective etching of Aluminium present in the MAX phase. The etching was done using HF in combination with HCl followed by delaminated in DMSO medium using ultrasonication. The synthesized samples were physically characterized via XRD, SEM and EDX. The XRD spectra confirms the formation of MXene through its characteristic plane (002) arising at 2θ~9°. The morphological study revealed the stacked layered sheet like structure obtained through SEM. The elemental confirmation of removal of Al was done using EDX spectroscopy.
The present experimental work was carried out on wire electrical discharge machine (WEDM) over NiTi shape memory alloy for biomedical applications. Improving of machineability of intricate profiles in biomaterial applications is a challenging task. The experiments were performed on WEDM by using a brass wire of 0.25 mm diameter, as tool electrode. A range of 4 to 8 ampere of current, range of 60-120 ls of pulse on time, range of 15-45 ls of pulse off time, range of 11-15 cm 2 /gm of wire tension and range of 4-8 m/min wire feed were selected as input parameters. The influence of these parameters was observed on surface roughness and kerf width during fabrication of rectangular slots. The discharge craters, voids, microcracks and white layer have been observed in machined surface by scanning electron microscopy (SEM). It was observed that at higher values of discharge energy, the recast layer thickness increases. The higher recast layer found is 15.88 at Ip = 8, Ton = 120, Toff = 30, WT = 11, Wf = 4. The performance of responses was analysed by the response surface methodology and artificial neural network modelling. The obtained values of 0.993 and 0.995 from ANN model shows strong correlation between selected parameters. The obtained desirability is 0.957 that presents the developed model and is quite significant for both responses.
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