Sentence examples for paint distribution from inspiring English sources

The simulation results and experimental validation on test surfaces revealed that the approach is flexible and efficient to handle variety in part geometry and the paint distribution.

We only consider the paint distribution over half the boundary because the problem is symmetric, and the numerical results corresponding to (varepsilon=0.4), (varepsilon=0.5), (varepsilon=0.55), and (varepsilon=0.7) are presented in Figures 5-8, respectively.

The paint distribution maps were used to virtually reconstruct the artist process and document the sequence and manner in which Pollock applied the different paints, using deliberate and specific gestures.

The use of the latter is demonstrated in the study of another work by J. Pollock, 'Number 1948(1948) at the Museum of Modern Art in New York (USA) based on the use of macro-XRF elemental mapping for delineating the paint distribution across selected areas of the painting as shown in the paper by Martins et al. [10].

"They make bold lines, the paint distribution is thick and even, and the colors complement each other super well.

Figure 6 Paint distributions for (pmb{varepsilon=0.5}).

It can be observed that our results are in good agreement with the corresponding results in [2, 16, 20]. Figure 5 Paint distributions for (pmb{varepsilon=0.4}).

Paint distributions for various ε are depicted in Figure 8. Figure 7(a) and Figure 8(a) indicate that the workpiece is completely painted with the vertex ((0.5,1)) receiving the least amount of paint for a small ε.

Additionally, we can see that the results of our method match those given in [10, 11]. Figure 8 Paint distributions of the electropainting problem for (a) (pmb{varepsilon=0.4}), (b) (pmb{varepsilon=0.5}), (c) (pmb{varepsilon=0.55}), (d)  (pmb{varepsilon=0.7}).

Microanalysis of paint samples provided detailed information about pigment mixtures and paint stratigraphy while the complementary data sets provided by RIS and SR-XRF yielded important information about pigment distribution in both pictures and clarified details of the underlying painting.

In the portrait, paint mixtures appear heterogeneous in photomicrographs as well as the SEM-EDX elemental maps, which show pigment distribution.