SHORE – A:
The Shore – A Hardness test was performed as per the procedure explained in the chapter 2 and the results were tabulated as shown in table 3.15. From the results, regression analysis had been performed to get the regression equation, which is shown in the table 3.16. Then using the equation contour plots and response surfaces are generated which are shown in fig 3.21 and 3.22. The desired values of
Shore – A Hardness can be obtained at any combination within the optimized region as indicated in the contour plot. The value of X1 varies from 68 – 82 and X2 varies from 10 – 20 in the optimum region.
SHORE – D:
The Shore – A Hardness test was performed as per the procedure explained in the chapter 2 and the results were tabulated as shown in table 3.15. From the results, regression analysis had been performed to get the regression equation, which is shown in the table 3.17. Then using the equation contour plots and response surfaces are generated which are shown in fig 3.23 and 3.24. The desired values of
Shore – D Hardness can be obtained at any combination within the optimized region as indicated in the contour plot. The value of X1 varies from 55 - 67 and X2 17 - 25 varies from in the optimum region.
Table 3.15 Results of Shore – A and Shore – D Hardness tests for CaCO3 – HDPE system:
TRIAL | X1 | X2 | SHORE – A HARDNESS | SHORE – D HARDNESS |
1 | 60 | 5 | 76 | 54.3 |
2 | 60 | 25 | 79.0 | 56.0 |
3 | 80 | 5 | 81.0 | 58.3 |
4 | 80 | 25 | 78.3 | 56.3 |
5 | 56 | 15 | 78.3 | 59.0 |
6 | 84 | 15 | 80.3 | 58.0 |
7 | 70 | 1 | 78.0 | 57.3 |
8 | 70 | 29 | 80.6 | 57.3 |
9 | 70 | 15 | 81.0 | 57.6 |
10 | 70 | 15 | 81.0 | 57.6 |
11 | 70 | 15 | 81.0 | 57.6 |
Table 3.16 Estimated Regression Coefficients for Hardness- Shore A
Term | Coef | SE Coef | T | P |
Constant | 81.0095 | 0.4285 | 189.037 | 0.000 |
X1 | 0.9003 | 0.2638 | 3.413 | 0.019 |
X2 | 0.5119 | 0.2638 | 1.940 | 0.110 |
X1*X1 | -1.0388 | 0.3166 | -3.281 | 0.022 |
X2*X2 | -1.0388 | 0.3166 | -3.281 | 0.022 |
X1*X2 | -1.4175 | 0.3712 | -3.819 | 0.012 |
S = 0.7424 R-Sq = 90.3% R-Sq (adj) = 80.7%
The regression equation is
Y = 81.0095 +0.9003X1 +0.5119X2 -1.0388X12 -1.0388X22 -1.4175X1 X2.
Table 3.17 Estimated Regression Coefficients for
Term | Coef | SE Coef | T | P |
Constant | 57.6223 | 0.8001 | 72.015 | 0.000 |
X1 | 0.3699 | 0.4925 | 0.751 | 0.486 |
X2 | -0.0417 | 0.4925 | -0.085 | 0.936 |
X1*X1 | 0.0210 | 0.5912 | 0.035 | 0.973 |
X2*X2 | -0.5760 | 0.5912 | -0.974 | 0.375 |
X1*X2 | -0.9175 | 0.6930 | -1.324 | 0.243 |
S = 1.386 R-Sq = 40.3% R-Sq (adj) = 0.0%
The regression equation is
Y = 57.6223 +0.3699X1 -0.0417X2 +0.0210X12 -0.576X22 -0.9175X1 X2.
Fig. 3.21 Contour Plot of Hardness – Shore A vs. X1, X2
Fig. 3.22 Response surface of Hardness – Shore A vs. X1, X2
Fig. 3.23 Contour plot of Hardness – Shore D vs. X1, X2
Fig. 3.24 Response surface of Hardness – Shore D vs. X1, X2
OVERLAYING OF CONTOUR PLOTS:
The individual contour plots were generated for each of the property and then simultaneous optimization of properties were carried out by overlaying the individual plots to obtain the overlaid contour plots.
The desired values of all these properties can be obtained at any given combination within the optimized region indicated by the white coloured region in the fig.3.20. The values of both X1 and X2 vary over a wide range in the optimized region.
The desired values of all these properties can be obtained at any given combination within the optimized region indicated by the white coloured region in the fig.3.13. The value of X1 varies from 77 – 80 and X2 varies from 5 – 17 in the optimized region.
Fig. 3.20 Overlaid Contour plot of Tensile Properties
Fig. 3.13 Overlaid contour Plot of Flexural Properties