DETERMINING THE ERRORS OF SIMULTANEOUS MEASUREMENTS OF SPECIFIC ELECTRICAL CONDUCTIVITY Хt, RELATIVE DIELECTRIC CONSTANT εr AND TEMPERATURE t OF BEER WASTE SAMPLES

Authors

DOI:

https://doi.org/10.31891/2219-9365-2022-71-3-5

Keywords:

measurement errors, multiparameter method, wastewater parameters, thermal transformer electromagnetic converter, specific electrical conductivity, relative dielectric constant, density, temperature, range, physicochemical parameters

Abstract

Methods, techniques and algorithms related to estimating the errors of compatible measurements of the function of many variables, namely the transformation function, which is expressed by the dependence of the normalized characteristics of converters (normalized generalized characteristics, EMF, phase shift angles, electromagnetic field frequencies and other characteristics) transformer electromagnetic transducers) from many informative parameters of electrolytic liquids (which include samples of beer effluents). The measurement errors of the components of the signals of the thermal transformer electromagnetic converter (TTEC), as well as wastewater parameters: electrical resistivity ɣλ, relative dielectric constant ɣεr and temperature ɣt  of samples of acidic and alkaline effluents, as well as average beer effluents were studied. Determining the errors of compatible measurements of physicochemical parameters of beer effluent samples allows to establish rational modes of operation of thermal multiparameter electromagnetic transducers, increase the probability of control of physicochemical characteristics of wastewater samples and significantly improve the quality of management of beer wastewater treatment processes. data obtained by informative measuring methods.

Published

2022-09-30

How to Cite

Pyrozhenko Є. ., Sebko В. ., Zdorenko В. ., & Zashchepkina Н. . (2022). DETERMINING THE ERRORS OF SIMULTANEOUS MEASUREMENTS OF SPECIFIC ELECTRICAL CONDUCTIVITY Хt, RELATIVE DIELECTRIC CONSTANT εr AND TEMPERATURE t OF BEER WASTE SAMPLES. MEASURING AND COMPUTING DEVICES IN TECHNOLOGICAL PROCESSES, (3), 36–44. https://doi.org/10.31891/2219-9365-2022-71-3-5