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Initially the analysis was done on a simple block to determine the optimum element size and boundary conditions.
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The real-coded genetic algorithm (RGA) is used to determine an optimal set of current excitation weights of the antenna elements and the optimum inter-element spacing that satisfies the design goal.
An optimum element size was determined first to simulate the appearance of flow-through and the finite element analysis reveals that the formation of flow-through is mainly due to the insufficient material in the neighborhood of the embossment.
From both characteristics the optimum die elements were optimized.
As so, d = λ/2 is the optimum inter-element spacing in the ULA configuration. Figure 1 Uniform linear array (ULA) geometry.
Long fatigue life is the most important objective in the optimum design of rolling element bearing.
This demonstrates the advantages of the new methodology in being able to identify the optimum configurations for different element constraints.
Grain boundary (GB) engineering via alloying opens a pathway to design the interfaces in alloys for tuning their mechanical properties, thus it is quite critical to determine the optimum addition of alloying element.
Thus, the determination of the optimum dimensions of the elements is less dependent on the designer's experience and sensitivity.
And to achieve such a goal, the crucial challenge is to determine the optimum spacing between the elements and their excitations.
The results show that for slender elements the optimum design is reached when the mechanical capacity of the steel is slightly lower than that of the concrete contribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com