L increases, the becomes additional uneven. Itof the machined surfacefeed price increases, the material removal price in the machined surface increases, however the all round height deviation of height deviation of the machined surface steadily increased.the machined surface gradually increased.Micromachines 2021, 12, x13 ofFigure 10. Effect of feed price on the three-dimensional surface roughness. (Grinding depths: 6 , Figure 10. Effect of feed rate around the three-dimensional surface roughness. (Grinding depths: 6 m, Grinding wheel linear speeds: 600 mm/min).Grinding wheel linear speeds: 600 mm/min).(a)(b)Figure 11. Comparison of three-dimensional surface microstructure below distinctive feedresults.(Grinding depths: 6 m, Grinding wheel linear speeds: 600 mm/min). (a) White light interferometer observation rates. (b) Scanning electron Grinding wheel linear speeds: 600 mm/min). (a) White light interferometer observation results. (b) Scanning electron mimicroscope observation final results. croscope observation benefits.Figure 11. Comparison of three-dimensional surface microstructure beneath unique feed prices. (Grinding depths: six ,The comparison of predicted and actual values in the three-dimensional surface The comparison of predicted of TUAG below different grinding wheel linear surface roughness in the Nano-ZrO2 ceramic and actual values in the three-dimensionalspeed roughnessin FigureNano-ZrO2 ceramic of TUAG that because the grinding wheel linear speed is shown with the 12. It might be observed from Figure 12 under distinct grinding wheel linear vs increases, S and Sq gradually decreases, the Figure 12 that because the grinding wheel linear speed is shownain Figure 12. It may be observed fromcalculated MNITMT Inhibitor results on the prediction model established within this study are constant with the actual values calculated resultsexperiment, speed v s increases, Sa and S q steadily decreases, the obtained in the on the predicwhich reflects the reliability in the calculation PF-06454589 Inhibitor process and related model proposed in this tion model established within this study are consistent together with the actual values obtainedthe study. Figure 13 shows the comparison on the three-dimensional microstructure of in the experiment, which reflects the reliability of the calculation strategy and connected model machined surface of Nano-ZrO2 ceramics beneath different grinding wheel linear speeds. proposed inwith study. Figure 13 of Nano-ZrO2 ceramic ultra-precision grinding surface Combined this the height model shows the comparison of your three-dimensional microstructure in the machined surface of study, the observationunder distinctive grinding can residual material established in this Nano-ZrO2 ceramics results were analyzed, it wheel linear speeds. Combined with thelinear speed increases, the micro-crush damage on the be observed that as the grinding wheel height model of Nano-ZrO2 ceramic ultra-precision grinding surface residual material establishedheight and valley depth of the machined machined surface is weakened, and also the peak within this study, the observation final results were surface it could be and that because the height deviation from the machined surface micro-crush analyzed,reduce, noticed the overall grinding wheel linear speed increases, the decreases progressively. In addition, the accumulation of residual materials on the surface during of harm with the machined surface is weakened, plus the peak height and valley depth thethe grinding surface reduce, along with the all round height deviation of the machined surface machined process is weake.
