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The aim of this study was to achieve a high throughput RSM optimization using a short ultra-high performance liquid chromatographic (UHPLC) column to simultaneously optimize flow rate and solvent gradient, and then transfer the optimized method to conventional HPLC for routine analytical purposes.
It is an effort to optimize flow and quality by constantly searching for ways to streamline and enhance performance.
To optimize flow conditions we must keep frictional losses to a minimum and prevent undesirable flow regimes from occurring in the well.
It is essential to know the lateral current density variations in order to optimize flow field design and fuel cell performance.
A mechanically strong catalytic web of micro-fibers has been engineered and shaped utilizing both computational fluid dynamics (CFD) and cold flow experiments to optimize flow characteristics.
Additionally, a sub-area method is developed to enhance convective heat transfer characterized by relatively higher Nu number, which can be applied to optimize flow field in a circular tube and guide the design for tube insert.
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We conducted the mathematical analysis to optimize the optimal flow rate.
The proposed automatic optimizing flow is then applied to the optimized process of a lattice structure under dynamic wind loading.
This paper presents an automatic optimizing flow for the integrated wind-induced response analysis and wind-resistant optimal design of linear and non-linear lattice structures based on the modified Optimality Criterion (OC) algorithm.
After optimizing flow cytometric analysis, these dual-fluorescence cell-based biosensors were capable of accurately and rapidly detecting NP toxicity.
This trend, and the method of optimizing flow architecture to achieve maximal heat transfer density, are essential in the continuing miniaturization of heat transfer devices.
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