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To develop and evaluate a condensate removal criterion for fuel cell construction, the pressure drop of each flow field is correlated to the water appearance visualized with neutron radiography.
Hence, the removal criterion is defined as begin{aligned} mathrm{max}(|sigma _1|, |sigma _2|, |sigma _3|)>sigma _mathrm{max}, end{aligned} (17 where (sigma _i) ((i=1,2,3)) is the maximum principal stress of a tetrahedron, which is obtained as the eigenvalue of the stress tensor (mathbf {S}^e), and (sigma _mathrm{max}) is the previously specified stress threshold.
The backward selection procedure with removal criterion P > 0.10 based on likelihood ratio tests was performed.
The procedure stops when there are no variables in the equation that satisfy the removal criterion.
The stepwise Forward method was used with an entry criterion of P < 0.05 and a removal criterion of P < 0.1.
A stepwise regression method, with entry criterion of p ≤ 0.05 and removal criterion of p ≥ 0.10, was used.
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Backward variable elimination enters all of the variables in the block in a single step and then removes them one at a time based on removal criteria.
Therefore, high variation in the obtained weights of the removal criteria bring only little uncertainty in tree selection.
The forces on the particles in different states are analyzed and the particle removal criteria are listed.
This means that, although there is uncertainty about the exact weights of the removal criteria, there is less uncertainty about the removal order of trees.
The results show that its feasibility and performance in bridge deck snow removal is dependent upon the geological and snow conditions of a particular region, as well as the design snow removal criteria.
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