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BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI - Universitatea ...

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(6)<br />

⎧<br />

⎪<br />

⎨<br />

⎪<br />

⎩⎪<br />

FR 1<br />

FR 2<br />

FR 3<br />

Bul. Inst. Polit. Iaşi, t. LVI (LX), f. 2, 2010 5<br />

⎧<br />

⎪<br />

⎪<br />

⎪<br />

⎫ ⎡<br />

⎪ ⎢<br />

⎬ = ⎢<br />

⎪ ⎢<br />

⎭⎪<br />

⎣⎢<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

A17 A27 A37 A18 A28 A38 ⎤ ⎪<br />

⎥ ⎪<br />

⎥ ⎨<br />

⎥ ⎪<br />

⎦⎥<br />

⎪<br />

⎪<br />

⎪<br />

⎪<br />

⎩<br />

One can see that DP1, DP2 and DP3 are the only possible contributing<br />

parameters in Eq. (4). As for the design of Eq. (5), just DP4, DP5 and DP6 are<br />

significant. At last, in what concerns to Eq. (6), only DP7 and DP8 contribute. In<br />

other words, each one of the above-defined coexisting designs can fulfil all the<br />

FRs of Eq. (3) using entirely different subsets of the DPs included in the latter<br />

equation, in such a manner that all the DPs are taken into account.<br />

Now, one can figure out that the design of Eq. (3) could be achieved by<br />

merging the designs of Eq. (4), Eq. (5) and Eq. (6).<br />

The design matrices of Eq. (4) and Eq. (5) could be reduced to block<br />

matrices of size m x m by eliminating the zero elements of their design matrices.<br />

Therefore, the surrogate “condensed design equations” could be obtained<br />

from those equations by eliminating the non-relevant DPs, and by using the all<br />

the existing FRs and the non-zero block matrices. For example, Eq. (7) is the<br />

condensed equation that is obtained from Eq. (5).<br />

The same treatment could be done to Eq. (6), but in this case we would<br />

obtain a non-square block matrix of size (n mod m) x m.<br />

⎧ FR ⎫ ⎡<br />

1 A14 A15 A ⎤ ⎧<br />

16 DP ⎫<br />

4<br />

⎪ ⎪ ⎢<br />

⎥ ⎪ ⎪<br />

(7)<br />

⎨ FR2 ⎬ = ⎢ A24 A25 A26 ⎥ ⎨ DP5 ⎬ .<br />

⎪ FR ⎪ ⎢<br />

⎩⎪<br />

3 ⎭⎪<br />

A34 A35 A<br />

⎥ ⎪<br />

⎣⎢<br />

36 ⎦⎥<br />

DP ⎪<br />

⎩⎪<br />

6 ⎭⎪<br />

As a result, the redundant design of Eq. (3) could be considered “suitable<br />

design” if the condensed equations obtained from Eq. (4), Eq. (5) and Eq. (6)<br />

are not coupled. The coupled condition is excluded in Eq. (4) and Eq. (5) if the<br />

relevant DPs are chosen so that their non-zero block matrices are either<br />

triangular or diagonal.<br />

As for Eq. (6), the coupled condition is excluded if its non-zero block<br />

matrix is populated in such a manner that the condensed equations correspond<br />

to uncoupled or decoupled designs. If this is not the case, one can selectively<br />

“freeze” as many DPs as required, so that the condensed design become<br />

uncoupled or decoupled, as exemplified elsewhere [3].<br />

DP 1<br />

DP 2<br />

DP 3<br />

DP 4<br />

DP 5<br />

DP 6<br />

DP 7<br />

DP 8<br />

⎫<br />

⎪<br />

⎪<br />

⎪<br />

⎪<br />

⎪<br />

.<br />

⎬<br />

⎪<br />

⎪<br />

⎪<br />

⎪<br />

⎪<br />

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