Sentence examples for results of surface roughness from inspiring English sources

The results of surface roughness, obtained by AFM analysis are given in Table 3.

The results of surface roughness for the SiO2 film were 0.3, 0.968, 1.56 and 1.986 nm for the control, CDT 60, CDT 65, and CDT 70 s, respectively, as shown in Figure 3.

Table 7 Experimental results of surface roughness for the optimized machining parameters Machining characteristic V (opt) (m/min) f z (opt) (mm/(rev × tooth)) a p (opt) (mm) Predicated value Experimental value Error SR 280 0.06 1 1.18 1.280280.

Analysis of the experimental results of surface roughness through Taguchi's OA experimental design are carried out with analysis of variance (ANOVA), where employed for determining the factor significantly influencing surface roughness (Ra) is presented in Table 4.

The results of surface roughness shown in Table 1 and results of hydrophobicity test on our silver chiral nano-flower sculptured thin films with 3-, 4-, and 5-fold symmetries and a silver film of 300 nm thickness deposited under conventional condition of normal incidence angle shown in Fig. 4 are compared.

Ra showed a comparable result of surface roughness to Ra-value measured by the profilometer.

In particular, the surroundings appear to contain a significant number of blocks in its ejecta blanket, suggesting that its radar properties are a result of surface roughness, and not ice deposits, as was previously suggested from a radar experiment involving the Clementine mission.

Meade's study [ 15] on keratinocytes grown on MirrIR with different types of added coating showed that the Ag/SnO2 coating on the reflective surface of the MirrIR plays a role in the cellular attachment, and this could be a result of surface roughness on the nanometer scale.

The results show that the surface roughness of raceways can make great effects on the motion state of balls and lubrication performance in an angular contact ball bearing; and together with the effect of surface roughness on the stress in the substrate, the roughness of ball and race surfaces can be optimally determined.

This paper presents the theoretical background of this approach as well as the experimental results in terms of surface roughness and profile, microstructures, mechanical properties, and dimensional stability.

The developed multiple criteria model in the response surface method (RSM), suggests the optimised parameter set and results when weightings of surface roughness and material removal rate are given.