L increases, the becomes much more uneven. Itof the machined surfacefeed price increases, the material removal price of the machined surface increases, but the all round height deviation of height deviation of your machined surface progressively elevated.the machined surface progressively elevated.Micromachines 2021, 12, x13 ofFigure ten. Impact of feed price around the three-dimensional surface roughness. (Grinding depths: six , Figure ten. Effect of feed price around the three-dimensional surface roughness. (Grinding depths: six m, Grinding wheel linear speeds: 600 mm/min).Grinding wheel linear speeds: 600 mm/min).(a)(b)Figure 11. Comparison of three-dimensional surface Aztreonam Epigenetic Reader Domain microstructure under different feedresults.(Grinding depths: six m, Grinding wheel linear speeds: 600 mm/min). (a) White light interferometer observation prices. (b) Scanning electron Grinding wheel linear speeds: 600 mm/min). (a) White light interferometer observation outcomes. (b) Scanning electron mimicroscope observation final results. croscope observation outcomes.Figure 11. Comparison of three-dimensional surface microstructure beneath unique feed rates. (Grinding depths: 6 ,The comparison of predicted and actual values in the three-dimensional surface The comparison of predicted of TUAG below unique grinding wheel linear surface roughness with the Nano-ZrO2 -Irofulven Autophagy ceramic and actual values from the three-dimensionalspeed roughnessin FigureNano-ZrO2 ceramic of TUAG that because the grinding wheel linear speed is shown of your 12. It could be observed from Figure 12 below distinct grinding wheel linear vs increases, S and Sq gradually decreases, the Figure 12 that as the grinding wheel linear speed is shownain Figure 12. It can be seen fromcalculated outcomes of your prediction model established within this study are constant with all the actual values calculated resultsexperiment, speed v s increases, Sa and S q progressively decreases, the obtained in the of the predicwhich reflects the reliability from the calculation technique and related model proposed within this tion model established within this study are constant using the actual values obtainedthe study. Figure 13 shows the comparison of the three-dimensional microstructure of from the experiment, which reflects the reliability in the calculation method and related model machined surface of Nano-ZrO2 ceramics below diverse 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 from the machined surface of study, the observationunder different grinding can residual material established within this Nano-ZrO2 ceramics outcomes have been analyzed, it wheel linear speeds. Combined with thelinear speed increases, the micro-crush harm from 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 your machined machined surface is weakened, plus the peak in this study, the observation benefits were surface it can be and that as the height deviation in the machined surface micro-crush analyzed,lower, seen the all round grinding wheel linear speed increases, the decreases steadily. Furthermore, the accumulation of residual components on the surface throughout of harm on the machined surface is weakened, along with the peak height and valley depth thethe grinding surface decrease, and the general height deviation on the machined surface machined procedure is weake.
