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System optimization was carried out using Conjugate Directions Method.
The system optimization was accomplished by using statistical methods based on experimental design.
A computational system optimization was conducted to explore the potential benefits of diesel reforming in dual-fuel combustion strategies.
The core hydraulic system with pressure exchanger was identified as the most advantageous ERS concept, and the question of appropriate component design and system optimization was discussed.
Due to the various factors, e.g. pH, EtOH/TEOS/H2O ratio, Si/Ni ratio, etc., influencing the gelation time of the solutions, Taguchi robust design method of system optimization was used to determine the percent of contribution of each factor.
Moreover, the system optimization was shown to enhance the performance significantly.
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The objectives of this system optimization were to minimize Kh, μ, θ and maximize βeff.
The system optimization is then expanded to a general heterogeneous beam with a DVA at its tip.
System optimization is one of effective and reasonable tools to exploit the potential of polygeneration systems.
Furthermore, control system optimization is the basis for system improvement and advanced process control (APC) implementation.
Besides these combinations, architecture expansion approaches for system optimization are introduced.
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