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Abrasion Resistance of Paints Made with Curcumin Pigment and PVA Resin

Fernanda Cardoso de FARIA

Fernanda Cardoso de FARIA

Msc; Universidade Federal do Paraná (UFPR)Curitiba, Brazil
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FARIA, Fernanda Cardoso de
, 
Aloísio Leoni SCHMID

Aloísio Leoni SCHMID

PhD; Universidade Federal do Paraná (UFPR)Curitiba, Brazil
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SCHMID, Aloísio Leoni
 e 
Isabela Pagani Heringer de MIRANDA

Isabela Pagani Heringer de MIRANDA

Msc; Tribunal de Justiça do Estado do Pará (TJPA)Belém, Brazil
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MIRANDA, Isabela Pagani Heringer de
  
09 gen 2025
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Pubblicato online: 09 gen 2025
Pagine: 43 - 50
Ricevuto: 07 ago 2023
Accettato: 20 ott 2023
DOI: https://doi.org/10.2478/acee-2024-0003
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© 2024 Fernanda Cardoso de FARIA et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

The squares with the images of the specimens painted with the paint mixtures are identified with the corresponding mixture number (1 to 36)
The squares with the images of the specimens painted with the paint mixtures are identified with the corresponding mixture number (1 to 36)

Density, temperature and response variables

Mixture pH Temperature (°C) Density (g/cm3) Viscosity v (mm2/s) Viscosity μ (cp) RAU (cicles)
1 12.2 24.4 0.82 162.5 133.2 137
2 4.6 25 0.82 193.7 158.83 217
3 4.4 25.4 0.78 74.42 58.04 54
4 4.3 24.1 0.82 103.8 85.11 66
5 4.2 25.3 0.81 64.71 52.42 56
6 12 25.4 0.88 90.32 79.48 220
7 12 25 0.88 96.48 84.9 128
8 4.2 24.5 0.77 77.5 59.67 59
9 12 25 0.92 79.15 72.82 123
10 4.4 24.7 0.76 63.95 48.6 48
11 4.5 25.2 0.78 77.8 60.69 60
12 12 24.5 0.86 112.84 97.04 186
13 4.5 25.5 0.86 78.96 67.9 114
14 4.5 25.3 0.84 95.32 80.07 102
15 4.7 24.5 0.81 75.19 60.9 104
16 11.9 25 0.81 86.08 69.73 120
17 12 24 0.81 80.58 65.27 113
18 12 25 0.82 76.73 62.92 124
19 4.3 24 0.84 72.11 60.57 51
20 11.7 25.2 0.88 76.92 67.7 138
21 11.9 25 0.85 99.83 84.85 163
22 4.4 24.3 0.85 77.23 65.64 77
23 11.7 24.5 0.84 82.9 69.63 121
24 4.6 24 0.84 75.69 63.58 101
25 4.7 24 0.83 89.74 74.49 69
26 11.8 24 0.8 72.8 58.24 107
27 11.8 24 0.83 86.08 71.45 118
28 11.7 25.3 0.81 77.69 62.93 145
29 11.7 25 0.81 80.77 65.42 270
30 4.4 24.5 0.8 74.53 59.62 180
31 11.4 25.5 0.85 76.27 64.82 152
32 12.1 25.5 0.84 82.23 69.08 196
33 8.7 25.9 0.85 80.89 68.75 136
34 10.7 24.3 0.82 69.8 57.23 140
35 11.3 24.3 0.86 82.04 70.55 88
36 11.1 24.5 0.82 69.61 57.08 110

Minimum and maximum limits of each component in the mixture

Proportion (%)
Component Inferior Superior
X 0.03 0.2
Y 0.20 0.37
Z 0.30 0.47
W 0.30 0.47
S 0 0.17

Regression equations for the response variables viscosity, pH, and RAU

Response variable Regression equation R2
Viscosity ŷ = 152.57X + 57.56Y + 84.86Z + 52.58W + 130.57S - 147.2XY - 127.7XZ - 132.3XW - 181.9XS - 93.4YS-94.1ZS 93.28%
pH ŷ = 4.14X +4.35Y +4.36Z +4.24W + 10.63S + 22.16XS + 23.06YS + 23.69ZS + 23.71WS 87.34%
RAU ŷ = 197.6X + 47.9Y + 49.3Z + 59.3W + 141.0S + 338.0WS 60.40%

Mixtures generated by Minitab 20_4 software

Mixture X Y Z W S
1 0.03 0.2 0.3 0.3 0.17
2 0.2 0.2 0.3 0.3 0
3 0.03 0.37 0.3 0.3 0
4 0.03 0.2 0.47 0.3 0
5 0.03 0.2 0.3 0.47 0
6 0.03 0.2 0.3 0.39 0.09
7 0.03 0.2 0.39 0.3 0.09
8 0.03 0.2 0.39 0.39 0
9 0.03 0.29 0.3 0.3 0.09
10 0.03 0.29 0.3 0.39 0
11 0.03 0.29 0.39 0.3 0
12 0.12 0.2 0.3 0.3 0.09
13 0.12 0.2 0.3 0.39 0
14 0.12 0.2 0.39 0.3 0
15 0.12 0.29 0.3 0.3 0
16 0.03 0.2 0.36 0.36 0.06
17 0.03 0.26 0.3 0.36 0.06
18 0.03 0.26 0.36 0.3 0.06
19 0.03 0,26 0.36 0.36 0
20 0.09 0.2 0.3 0.36 0.06
21 0.09 0.2 0.36 0.3 0.06
22 0.09 0.2 0.36 0.36 0
23 0.09 0.26 0.3 0.3 0.06
24 0.09 0.26 0.3 0.36 0
25 0.09 0.26 0.36 0.3 0
26 0.03 0.24 0.34 0.34 0.04
27 0.07 0.2 0.34 0.34 0.04
28 0.07 0.24 0.3 0.34 0.04
29 0.07 0.24 0.34 0.3 0.04
30 0.07 0.24 0.34 0.34 0
31 0.06 0.23 0.33 0.33 0.03
32 0.05 0.22 0.32 0.32 0.1
33 0.13 0.22 0.32 0.32 0.02
34 0.05 0.3 0.32 0.32 0.02
35 0.05 0.22 0.4 0.32 0.02
36 0.05 0.22 0.32 0.4 0.02
Lingua:
Inglese
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