Detection method and dynamic-static state combined simulation multifunctional experimental system based on conductometric titration dirt property parameters

Abstract

The invention provides a detection method and a dynamic-static state combined simulation multifunctional experimental system based on conductometric titration dirt property parameters. The conductometric titration based dirt property parameter detection method can accurately control the concentration of calcium ions or carbanions in water solution to further control the forming time of calcium carbonate crystallization dirt, is convenient to accurately measure the induction period of the crystallization dirt, continuously compares the alternating impedance of horizontal electrode pairs with vertical electrode pairs on line, can accurately measure the induction period of particle dirt under the same condition, can obtain the dirt thermal resistance which is the most true to the actual operation condition and is measured at the dynamic station and can simultaneously measure the dirt amount, the dirt layer thickness and various parameters while detecting the induction period; and the system can quickly and accurately monitor the real-time change of the thickness of the dirt layer on the heat conduction surface and provide a credible and convenient tool for on-line detection for studying the change rule of measurement parameters caused by the forming process of salt deposit and influence thereof.

Description

technical field

[0001] The invention mainly relates to basic theories in the fields of power engineering, engineering thermophysics, automatic detection technology and applied chemistry. Specifically, it relates to a simulation experiment detection device that can accurately measure calcium carbonate scaling induction period, scale thickness and scale amount on-line, in real time, and especially relates to a measurement method of fouling characteristic parameters based on conductometric titration and a dynamic and static joint simulation multifunctional experimental system . Background technique

[0002] In the past ten years, dirt monitoring technology has made remarkable progress, and new technologies such as optical fiber, infrared, ultrasonic and artificial intelligence have been continuously applied to dirt monitoring research. However, these technologies and devices are only limited to laboratories and some special objects, or their mechanisms and methods need to be f...

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