Electric Discharge Machining of Ti6Al4V ELI in Biomedical Industry: Parametric Analysis of Surface Functionalization and Tribological Characterization

Abstract

The superior engineering properties and excellent biocompatibility of titanium alloy (Ti6Al4V) stimulate applications in biomedical industries. Electric discharge machining, a widely used process in advanced applications, is an attractive option that simultaneously offers machining and surface modification. In this study, a comprehensive list of roughening levels of process variables such as pulse current, pulse ON time, pulse OFF time, and polarity, along with four tool electrodes of graphite, copper, brass, and aluminum are evaluated (against two experimentation phases) using a SiC powder-mixed dielectric. The process is modeled using the adaptive neural fuzzy inference system (ANFIS) to produce surfaces with relatively low roughness. A thorough parametric, microscopical, and tribological analysis campaign is established to explore the physical science of the process. For the case of the surface generated through aluminum, a minimum friction force of ~25 N is observed compared with the other surfaces. The analysis of variance shows that the electrode material (32.65%) is found to be significant for the material removal rate, and the pulse ON time (32.15%) is found to be significant for arithmetic roughness. The increase in pulse current to 14 A shows that the roughness increased to ~4.6 µm with a 33% rise using the aluminum electrode. The increase in pulse ON time from 50 µs to 125 µs using the graphite tool resulted in a rise in roughness from ~4.5 µm to ~5.3 µm, showing a 17% rise.

Enhanced structural integrity of Laser Powder Bed Fusion based AlSi10Mg parts by attaining defect free melt pool formations

“…Similarly, the data points for porosity (Fig. 3 b) are distributed on-line representing good agreement of the percentile and residual data 32 . The model adequacy as presented before shows the statistical significance and reliability for predicting top roughness (Fig.…”

Non-Destructive In Vitro Evaluation of an Internal Adaptation of Recent Pulp-Capping Materials in Permanent Teeth Using OCT and Micro-CT

“…Dental research often requires extensive empirical studies involving numerous participants, which can be time-consuming, expensive, and ethically challenging. In silico simulation offers a promising alternative, allowing researchers to virtually conduct experiments and investigate the performance of new dental materials, devices, and procedures without physically subjecting patients to invasive interventions [ 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 ]. The current study has the potential to be conducted using an in silico approach.…”

“…By allowing for virtual modeling and testing, in silico simulation enables dentists, researchers, and manufacturers to explore and optimize various dental interventions, techniques, and materials. Simulated computer models can assist in detecting subtle anomalies or irregularities that may otherwise be overlooked [ 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 ]. Furthermore, complex biological processes can be simulated and analyzed in a virtual environment, thus eliminating the necessity for time-consuming and costly laboratory-based experiments [ 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 ].…”

Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining

“…Therefore, researchers have incorporated the involvement of nanopowders like alumina (Al 2 O 3 ), silicon carbide (SiC), graphite, graphene, etc. to uplift the cutting rates [ 9 ]. These nanopowders act as the conductive bridge between the tool and the workpiece and enhance the proficiency of the EDM process.…”