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A reliable model must be formulated with estimable parameters in order to closely predict system behavior in the operating domain.
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The purpose of this study was to establish reliability for an observation instrument designed to quantify surgeons' teaching behaviors in the operating room.
In this paper, we focus on the lubricant behavior only, in the operating conditions of foil bearings.
The process studied is an experimental distillation column at Åbo Akademi showing nonlinear behavior in the desired operating range.
However, the model showed some discrepancy in predicting the gas solid flow behavior in the riser operating in dense suspension up-flow and low density fast fluidization regimes.
Improving the model behavior in the saturation operating region by accounting the channel pinch-off displacement, channel length modulation is studied and implemented as well.
The multi-linear modeling philosophy is based on the selection of a set of linear models, complemented with an adaptation mechanism to explain the nonlinear plant behavior in the whole operating range.
The results show that the measured data of a majority of sensors are reliable and reasonable, and can reasonably reflect the structural change behavior in the project operating process, indicating that the availabilities of the safety monitoring sensors of the two projects are high.
The core of the proposed system is based on a Run Time Environment (RTE) designed to maintain consistent behavior across variations in the operating environment.
The capital and operating costs and adsorption behavior of each operation in the operating sequence is approximated by a set of algebraic equations, which due to the level of error in determining the physical properties, has been found to be sufficiently accurate to characterize the system.
The objective of the study was to highlight modifications in the bed behavior with the operating temperature at conditions under which the role of hydrodynamic forces (HDFs) or interparticle forces (IPFs) was dominant.
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