Article

A simple parametric design model for straight-tube Coriolis flow meters

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Abstract

A 1D numerical model of a straight-tube Coriolis meter has been implemented and used to generate a simple and intuitive parametric relationship to predict sensitivity. This model is intended to aid the design of such meters and avoid the need to run a large number of time-consuming simulations. Three parameters were identified as being instrumental in determining the sensitivity of a meter: dimensionless bending stiffness (Σ̃), proximity to the Euler buckling limit (R̃) and the dimensionless sensor spacing (χ̃). Parametric relationships for sensitivity (dimensionless time-lag) and natural frequency were developed. These equations allow for the complete and rapid design of a straight-tube Coriolis meter with insignificant computational effort. The parametric model was validated against 11 experimental data sets, covering a range of flow conditions, tensions and materials. In all cases, the parametric model performed well, reporting a typical error of 2 to 5%.

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... Таким образом, аналитические модели течения жидкости в кориолисовых расходомерах [1,9,[16][17][18][19][20][21][22] позволяют провести исследования в общем виде, получать соотношения, характеризующие поведение системы «расходомерная трубка -жидкость» при изменении ее параметров, например, установить зависимость влияния температуры на точность измерения массового расхода. Однако они применимы лишь для кориолисовых расходомеров с простой геометрической формой расходомерной трубки (U-образная трубка, прямая). ...
... Анализ возможностей аналитических моделей для решения задачи FSI. Аналитические модели для исследования течения жидкости в кориолисовых расходомерах использовали многие авторы [1,[16][17][18][19][20][21][22]. Cheesewright, Belhadj, Clark [16][17][18] исследовали влияние внешних вибраций работающего оборудования и пульсаций потока на точность измерения массового расхода жидкости и представили аналитические решения, позволяющие их учесть. ...
... Авторы [9,21,22] представили аналитические аппроксимации основных характеристик расходомера, в которых вариации собственной частоты и разности во времени использованы для измерения плотности жидкости и ее массового расхода. Kutin и Bajsic [9] разработали математическую модель, использующую метод Галеркина, на основе линейной суперпозиции нескольких модальных функций. ...
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Resonant vibrations of a fluid-conveying pipe are investigated, with special consideration to axial shifts in vibration phase accompanying fluid flow and various imperfections. This is relevant for understanding elastic wave propagation in general, and for the design and trouble-shooting of phase-shift measuring devices such as Coriolis mass flowmeters in particular. Small imperfections related to elastic and dissipative support conditions are specifically addressed, but the suggested approach is readily applicable to other kinds of imperfection, e.g. non-uniform stiffness or mass, non-proportional damping, weak nonlinearity, and flow pulsation. A multiple time scaling perturbation analysis is employed for a simple model of an imperfect fluid-conveying pipe. This leads to simple analytical expressions for the approximate prediction of phase shift, providing direct insight into which imperfections affect phase shift, and in which manner. The analytical predictions are tested against results obtained by pure numerical analysis using a Galerkin expansion, showing very good agreement. For small imperfections the analytical predictions are thus comparable in accuracy to numerical simulation, but provide much more insight. This may aid in creating practically useful hypotheses that hold more generally for real systems of complex geometry, e.g. that asymmetry or non-proportionality in axial distribution of damping will induce phase shifts in a manner similar to that of fluid flow, while the symmetric part of damping as well as non-uniformity in mass or stiffness do not affect phase shift. The validity of such hypotheses can be tested using detailed fluid-structure interaction computer models or laboratory experiments.