| Authors |
Gugkov Kirill Vladimirovich, candidate of technical sciences, associate professor, sub-department of information technology and systems, Penza State Technological University (1a/11 Baydukova passage /Gagarina street, Penza, Russia), E-mail: gudkovk.pgta@gmail.com
Piskaev Kirill Yur’evich, candidate of technical sciences, associate professor, sub-department of information technology and systems, Penza State Technological University (1a/11 Baydukova passage /Gagarina street, Penza, Russia), E-mail: PiskaevK@gmail.com
Tyurin Mihail Vladimirovich, candidate of technical sciences, senior researcher, Scientific-research Institute of physical measurements (8/10 Volodarskogo street, Penza, Russia), E-mail: info@niifi.ru
Yaroslavtseva Daria Aleksandrovna, postgraduate student, design engineer, Scientific-research Institute of physical measurements (8/10 Volodarskogo street, Penza, Russia), E-mail: levik_92@mail.ru
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| Abstract |
Background. Applicability of simulation modeling when designing a datameasuring system for fluid flow control has been illustrated. The work objective is to visualize the applied techniques of the model-based design including simulation modeling of mechanical, electronic and computing components of the data system for fluid flow control.
Materials and methods. Matlab/Simulink software functions as simulation modeling environment.
Results. Simulation models of straight-tube Coriolis acceleration flowmeter constructed in Matlab/Simulink simulation modeling environment have been presented. Simulation of flowmeter operation under various flow medium conditions has been performed, as well as simulation of external vibration input both on the flowmeter and pipeline components. Relying on experimental findings, parameters of the data processing system have been selected. External inputs and remedies for them have been discussed. Dynamic changes in physical properties of bodies in terms of their molecular architecture have been illustrated; technical and technological processes likely to change accuracy characteristics of a measuring instrument due to parameter spread of assembly components have been also described.
Conclusions. Research and analysis of simulation models have helped to define technical constraints threatening to impair operating accuracy of the data-measuring system for fluid flow control on-site.
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| Key words |
data-measuring system for fluid flow control, data acquisition module, simulation modeling, Coriolis flowmeter, model-based design techniques
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