Nâng cao tính kỵ nước và chống tia uv cho gỗ Bồ đề Styrax tonkinensis bằng công nghệ phủ ZnO

Ký hiệu

Sau khi chiếu UV 0h			Sau khi chiếu UV 6h			Sau khi chiếu UV 24h
L*	a*	b*	L*	a*	b*	L*	a*	b*
W-ZnO-01	80.62	4.97	35.3	80.23	4.29	31.6	78.12	5.65	32.51
W-ZnO-02	80.96	4.81	34.91	80.52	3.96	30.36	78.63	5.29	31.61
W-ZnO-03	80.62	4.48	29.6	79.94	4.29	27.56	77.38	5.36	28.16
W-ZnO-04	80.42	4.56	28.53	79.52	4.29	26.13	77.95	5.22	27.13
W-ZnO-05	80.42	4.56	28.53	79.52	4.29	26.13	77.95	5.22	27.13
ĐC-01	82.78	1.75	16.81	78.53	2.93	27.15	75.50	4.94	33.04
ĐC-02	80.08	2.45	17.14	73.02	3.67	27.56	75.14	4.75	31.14
ĐC-03	81.28	2.23	17.68	77.03	3.58	27.33	74.75	5.41	32.80
ĐC-04	83.88	1.68	16.61	79.16	3.10	27.25	76.90	4.61	32.16
ĐC-05	81.50	2.29	16.46	77.62	3.57	26.63	75.87	4.97	31.72

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Quy Trình Công Nghệ Phủ Zno Cho Gỗ Bồ Đề Bằng Phương Pháp Phun
Nâng cao tính kỵ nước và chống tia uv cho gỗ Bồ đề Styrax tonkinensis bằng công nghệ phủ ZnO - 17
Nâng cao tính kỵ nước và chống tia uv cho gỗ Bồ đề Styrax tonkinensis bằng công nghệ phủ ZnO - 18
Nâng cao tính kỵ nước và chống tia uv cho gỗ Bồ đề Styrax tonkinensis bằng công nghệ phủ ZnO - 20
Nâng cao tính kỵ nước và chống tia uv cho gỗ Bồ đề Styrax tonkinensis bằng công nghệ phủ ZnO - 21

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Ký hiệu

Sau khi chiếu UV 48h			Sau khi chiếu UV 72h			Sau khi chiếu UV 96h
L*	a*	b*	L*	a*	b*	L*	a*	b*
W-ZnO-01	78.47	6.05	31.7	78.54	6.38	31.1	78.72	6.14	30.14
W-ZnO-02	78.75	5.8	31.23	78.92	6.2	30.85	79.04	6.08	29.96
W-ZnO-03	78.25	5.72	27.94	78.37	5.89	27.35	78.57	5.61	26.21
W-ZnO-04	79.09	5.33	26.53	78.45	5.66	25.93	78.75	5.46	25.06
W-ZnO-05	79.09	5.33	26.53	78.45	5.66	25.93	78.75	5.46	25.06
ĐC-01	76.29	5.26	33.87	76.24	5.66	34.46	76.12	5.79	35.02
ĐC-02	74.42	5.39	32.77	74.13	5.97	33.41	73.80	6.05	34.10
ĐC-03	75.36	5.61	33.64	74.53	6.10	34.50	74.49	6.17	34.95
ĐC-04	75.71	5.18	33.97	76.73	5.71	34.63	76.24	5.80	35.29
ĐC-05	75.80	5.36	32.90	76.53	5.66	32.84	75.70	5.81	34.08

Ký hiệu

Sau khi chiếu UV 144h			Sau khi chiếu UV 192h			Sau khi chiếu UV 240h
L*	a*	b*	L*	a*	b*	L*	a*	b*
W-ZnO-01	78.76	6.52	27.36	79.16	6.43	28.35	79.42	6.31	27.68
W-ZnO-02	78.95	6.35	29.09	79.19	6.32	28.26	79.75	6.17	27.42
W-ZnO-03	78.72	5.76	25.34	79.03	5.62	24.25	79.04	5.53	23.55
W-ZnO-04	78.94	5.58	24.25	79.32	5.43	23.35	79.51	5.41	22.78
W-ZnO-05	78.94	5.58	24.25	79.32	5.43	23.35	79.51	5.41	22.78
ĐC-01	75.86	6.14	35.61	76.21	6.20	36.02	75.93	6.42	36.17
ĐC-02	74.30	6.18	34.78	74.29	6.40	35.60	74.08	6.62	35.87
ĐC-03	75.89	6.06	34.98	74.95	6.64	35.63	74.85	6.71	36.16
ĐC-04	76.91	5.78	34.92	77.35	5.73	35.08	77.65	5.73	35.44
ĐC-05	75.21	6.23	35.20	76.01	6.08	35.44	75.60	6.60	36.14

Ký hiệu

Sau khi chiếu UV 312h			Sau khi chiếu UV 384h			Sau khi chiếu UV 456h
L*	a*	b*	L*	a*	b*	L*	a*	b*
W-ZnO-01	80.79	6.33	25.9	81.43	6.26	25.47	80.04	6.1	24.8
W-ZnO-02	80.99	6.06	25.62	80.43	6.19	25.53	80.95	6.02	24.87
W-ZnO-03	80.14	5.71	22.28	80.05	5.56	21.45	80.58	5.36	20.92
W-ZnO-04	80.18	5.62	21.78	80.27	5.53	20.99	80.75	5.26	20.4
W-ZnO-05	80.18	5.62	21.78	80.27	5.53	20.99	80.75	5.26	20.4
ĐC-01	75.56	6.81	36.45	75.16	6.85	36.58	75.64	7.01	37.31
ĐC-02	73.90	7.18	36.25	73.97	7.26	36.51	73.48	7.60	37.13
ĐC-03	73.67	7.37	36.34	73.60	7.54	36.18	73.80	7.33	36.73
ĐC-04	76.59	6.67	36.18	74.83	7.12	36.39	74.43	7.13	37.42
ĐC-05	75.02	7.40	36.51	74.89	7.51	36.62	75.18	7.49	37.32

Ký hiệu

Sau khi chiếu UV 528h			Sau khi chiếu UV 600h			Sau khi chiếu UV 672h
L*	a*	b*	L*	a*	b*	L*	a*	b*
W-ZnO-01	81.57	6.04	24.17	81.34	5.94	23.18	81.35	6.22	22.99
W-ZnO-02	81.58	5.78	24.64	81.37	5.79	23.67	81.53	6.13	23.33
W-ZnO-03	81.29	5.21	20.53	80.7	5.3	19.64	81.04	5.58	19.38
W-ZnO-04	81.38	5.19	20.08	80.93	5.16	19.39	81.09	5.44	19.01
W-ZnO-05	81.38	5.19	20.08	80.93	5.16	19.39	81.09	5.44	19.01
ĐC-01	75.61	7.46	37.90	74.43	7.54	38.04	74.49	7.96	37.91
ĐC-02	73.27	7.99	37.49	72.71	7.90	37.50	72.69	8.71	37.93
ĐC-03	75.30	7.35	36.76	72.90	7.66	36.91	73.55	8.17	36.99
ĐC-04	76.23	7.01	37.32	74.24	7.26	37.75	76.14	7.34	36.99
ĐC-05	75.13	7.80	37.94	74.02	8.13	38.46	73.92	8.69	38.51

Ký hiệu

Sau khi chiếu UV 744h			Sau khi chiếu UV 816h			Sau khi chiếu UV 888h
L*	a*	b*	L*	a*	b*	L*	a*	b*
W-ZnO-01	81.55	6.05	22.31	81.64	6.21	21.39	81.61	6.22	21.02
W-ZnO-02	81.67	5.95	22.56	81.79	6.09	21.8	81.77	6.14	21.3
W-ZnO-03	80.97	5.52	18.97	80.91	5.61	18.11	81.41	5.41	18.25
W-ZnO-04	81.12	5.44	18.69	81.22	5.53	18.05	81.29	5.5	17.98
W-ZnO-05	81.12	5.44	18.69	81.22	5.53	18.05	81.29	5.5	17.98
ĐC-01	73.84	8.28	38.44	73.37	8.52	38.76	73.45	8.60	39.06
ĐC-02	72.25	8.76	37.92	71.32	9.21	38.14	72.11	8.43	37.28
ĐC-03	72.13	8.42	37.40	72.01	8.52	37.23	73.44	7.70	37.98
ĐC-04	74.72	7.50	37.43	73.57	7.83	37.93	71.73	9.20	38.32
ĐC-05	73.25	9.03	39.06	72.39	9.30	39.18	72.75	9.19	39.29

ANOVA for Quadratic model

Response 1: WCA

Source Sum of Squares df Mean Square F-value p-value

Model

625.48	5	125.10	9.98	0.0044	significant
A-C	89.56	1	89.56	7.14	0.0319
B-t	416.63	1	416.63	33.23	0.0007
AB	4.08	1	4.08	0.3255	0.5862
A²	22.60	1	22.60	1.80	0.2213
B²	103.25	1	103.25	8.24	0.0240
Residual	87.76	7	12.54
Lack of Fit	78.93	3	26.31	11.92	0.0183	significant
Pure Error	8.83	4	2.21
Cor Total	713.24	12

Factor coding is Coded. Sum of squares is Type III - Partial

The Model F-value of 9.98 implies the model is significant. There is only a 0.44% chance that an F-value this large could occur due to noise.

P-values less than 0.0500 indicate model terms are significant. In this case A, B, B² are significant model terms. Values greater than 0.1000 indicate the model terms are not significant. If there are many insignificant model terms (not counting those required to support hierarchy), model reduction may improve your model.

The Lack of Fit F-value of 11.92 implies the Lack of Fit is significant. There is only a 1.83% chance that a Lack of Fit F-value this large could occur due to noise. Significant lack of fit is bad -- we want the model to fit.

Fit Statistics


Std. Dev. 3.54	R²	0.8770
Mean 145.56	Adjusted R²	0.7891
C.V. % 2.43	Predicted R²	0.1937

Adeq Precision 9.0660

The Predicted R² of 0.1937 is not as close to the Adjusted R² of 0.7891 as one might normally expect; i.e. the difference is more than 0.2. This may indicate a large block effect or a possible problem with your model and/or data. Things to consider are model reduction, response transformation, outliers, etc. All empirical models should be tested by doing confirmation runs.

Adeq Precision measures the signal to noise ratio. A ratio greater than 4 is desirable. Your ratio of 9.066 indicates an adequate signal. This model can be used to navigate the design space.

Final Equation in Terms of Actual Factors

WCA =

+57.36746

+34.38188 C

+0.556026 t

-0.033667 C * t

-7.21000 C²

-0.001070 t²

The equation in terms of actual factors can be used to make predictions about the response for given levels of each factor. Here, the levels should be specified in the original units for each factor. This equation should not be used to determine the relative impact of each factor because the coefficients are scaled to accommodate the units of each factor and the intercept is not at the center of the design space.

Coefficients in Terms of Coded Factors

Factor Coefficient Estimate df Standard Error 95% CI Low 95% CI High VIF

Intercept

149.04	1	1.58	145.30	152.78
A-C	3.35	1	1.25	0.3857	6.31	1.0000
B-t	7.22	1	1.25	4.26	10.18	1.0000
AB	-1.01	1	1.77	-5.20	3.18	1.0000
A²	-1.80	1	1.34	-4.98	1.37	1.02
B²	-3.85	1	1.34	-7.03	-0.6780	1.02

The coefficient estimate represents the expected change in response per unit change in factor value when all remaining factors are held constant. The intercept in an orthogonal design is the overall average response of all the runs. The coefficients are adjustments around that average based on the factor settings. When the factors are orthogonal the VIFs are 1; VIFs greater than 1 indicate multi-colinearity, the higher the VIF the more severe the correlation of factors. As a rough rule, VIFs less than 10 are tolerable.