МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ТЕМПЕРАТУРНОГО ПОЛЯ ПРЕОБРАЗОВАТЕЛЕЙ ДАВЛЕНИЯ

Abstract

Pressure sensor is one of the most useful gages for control technological processes of extraction, transportation, storage and refining petroleum. There is domination of the temperature error in the errors structure of such transducers. Variety of the measurement problems is associated with the different temperature conditions on pressure transducers. The reason of the additional temperature error is an inequality of temperature field of the pressure transducer’s diaphragm. Design measures of minimizing such error resolve into searching for the new ways of performance electrical measuring circuit on the pressure diaphragm. This ways have to guarantee minimum sensitivity to temperature inequality and maximum sensitivity to pressure. But there are many technical, technological and economic difficulties in testing efficiency those transducers designs. The testing of technical solutions which connected with performance of electrical measuring circuitry is considered in this article. It’s made by using mathematical model of diaphragm’s temperature field, which considers different temperature effects on the pressure transducer. Exponent function was chosen to represent simulate model, because it is the most suitable to received temperature field. This function allows forming temperature fields on the diaphragm virtually. These fields are typical for static, temperature influence, dynamic temperature influence (heatstroke) and directed influence. This model’s using allows estimate additional temperature errors of different pressure sensors without making time-consuming physical experiment. For example, there is an analysis of the additional temperature errors of the simply design electrical measuring circuitry on the pressure diaphragm in this article. Also the connection between simulation model parameters and their influence on the additional errors are shown. The way shown in this article simplifies searching the new constructive ways of minimizing additional temperature errors by reducing the stage of physical modeling.