Experimental and prediction of sintered Cu–W composite by using artificial neural networks

Dry Sliding Wear Behavior of Ti6Al4V and TaN against TiN Deposited Steel Surface

“…parameter. The coating thickness is also measured with the help of AutoCAD 2010 software as explained in [11]. It confirms that the coating thickness was about 4 -6 µm.…”

Characterization, pore size measurement and wear model of a sintered Cu–W nano composite using radial basis functional neural network

“…The pore present in the P/M component is discussed with the help of Auto CAD 2010 software as explained in [14]. In this section, it is clearly represented as to how the pore area, pore diameter and perimeter area were analyzed and differentiated under the two different processes viz., before hot extrusion and after hot extrusion.…”

“…A pin-holder loaded the stationary pins vertically onto a rotating EN 31 steel disc of hardness HRC 64. All the experiments were conducted under atmospheric room conditions, as explained in [14].…”

“…Using the Auto CAD 2010, the pores in the various Cu-W composites at nano level were calculated from their SEM images, as explained in [14]. Many pores form at the Cu grain boundaries and widen the grains, indicating that Cu has been sweated only due to higher temperatures.…”

“…Neural networks have been proven to be highly flexible modelling tools, for learning the mathematical model between input variables and output responses for nonlinear systems [14]. The neural network was extensively used by many researchers to predict the physical, mechanical and the tribological properties of composite materials [15][16].…”