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Cranfield University

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Ancillary Experiments<br />

model which only marginally decreased the correlation coefficient as can be seen from the<br />

right hand side in Figure 128. The slight disadvantage of the prediction model was that<br />

both times the intercept was statistically significant, which ideally should be zero as at a<br />

measured density increase of zero the predicted one should be zero, too.<br />

Measured Rel. Density Increase<br />

0,00035<br />

0,0003<br />

0,00025<br />

0,0002<br />

0,00015<br />

0,0001<br />

0,00005<br />

y = x - 6E-08<br />

R 2 y = x - 6E-08<br />

R = 0,945<br />

2 = 0,945<br />

0<br />

0 0,00005 0,0001 0,00015 0,0002 0,00025 0,0003 0,00035<br />

Predicted Rel. Density Increase<br />

Measured Rel. Density Increase<br />

0,00035<br />

0,0003<br />

0,00025<br />

0,0002<br />

0,00015<br />

0,0001<br />

0,00005<br />

y = 1,0001x - 2E-08<br />

R 2 y = 1,0001x - 2E-08<br />

R = 0,9326<br />

2 = 0,9326<br />

Ph.D. Thesis Dirk Ansorge (2007)<br />

165<br />

0<br />

0 0,00005 0,0001 0,00015 0,0002 0,00025 0,0003 0,00035<br />

Predicted Rel. Density Increase<br />

Figure 128: Measured vs. predicted relative density increase; full (left) and reduced mo-<br />

del (right)<br />

Therefore a further approach was heuristically taken whereby the relative density increase<br />

was described with the reciprocal of both contact area and perimeter length. Additionally<br />

the reciprocal of the interaction term again allowed an interaction between both. The result<br />

of the regression line is shown in Figure 129 on the left hand side. The correlation coeffi-<br />

cient is highest and the slope virtually equal to one. All three parameters significantly de-<br />

scribe the behavior and more importantly compared to the previous approach, the intercept<br />

is the only parameter not having a significant influence in explaining the data.<br />

Measured Rel. Density Increase<br />

0,00035<br />

0,0003<br />

0,00025<br />

0,0002<br />

0,00015<br />

0,0001<br />

0,00005<br />

y = 0,9996x+ 2E-08<br />

R 2 R = 0,9556<br />

2 = 0,9556<br />

0<br />

0 0,0000 0,0001 0,0001 0,0002 0,0002 0,0003 0,0003<br />

5<br />

5<br />

5<br />

5<br />

Predicted Rel. Density Increase<br />

Measured Measured Rel. Density Increase<br />

0,00035<br />

0,0003<br />

0,00025<br />

0,0002<br />

0,00015<br />

0,0001<br />

0,00005<br />

y = x + 2E-09<br />

R 2 R = 0,8495<br />

2 = 0,8495<br />

0<br />

0 0,0000 0,0001 0,0001 0,0002 0,0002 0,0003 0,0003<br />

5<br />

5<br />

5<br />

5<br />

Predicted Rel. Density Increase<br />

Figure 129: Measured vs. predicted relative density increase using reciprocals of Eq. 10;<br />

full (left) and empirically reduced (right) model<br />

If the interaction term is not taken into consideration (right hand side of Figure 129) the<br />

correlation coefficient drops significantly and moreover the two remaining parameters are<br />

not significant anymore in describing the variation of the data.

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