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Measurement of cross-sectional velocity distribution of pneumatically conveyed particles in a square-shaped pipe through electrostatic sensing and Gaussian process regression

  • Yongyue Wang
  • , Lijuan Wang
  • , Xiangchen Qian
  • , Yong Yan
  • North China Electric Power University
  • University of Kent

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Online continuous measurement of the cross-sectional velocity distribution of pneumatically conveyed solids in a square-shaped pipe is desirable in monitoring and optimizing circulating fluidized beds, coal-fired power plants and exhaust pipes. Due to the limitation of non-invasive electrostatic sensors in spatial sensitivity, it is difficult to accurately measure the velocity of particles in large diameter pipes. In this paper, a novel approach is presented for the measurement of cross-sectional particle velocity distribution in a square-shaped pipe using sensors and Gaussian process regression (GPR). The electrostatic sensor includes twelve pairs of strip-shaped electrodes. Experimental tests were conducted on a laboratory test rig to measure the cross-sectional particle velocities in a vertical square pipe under various experimental conditions. The GPR model is developed to infer the relationship between the input variables of velocities and the cross-sectional velocity distribution of particles. Results obtained suggest that the electrostatic sensor in conjunction with the GPR model is a feasible approach to obtain the cross-sectional velocity distribution of pneumatically conveyed particles in a square-shaped pipe.

Original languageEnglish
Title of host publicationI2MTC 2022 - IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publicationInstrumentation and Measurement under Pandemic Constraints, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665483605
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022 - Ottawa, Canada
Duration: 16 May 202219 May 2022

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

Conference2022 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022
Country/TerritoryCanada
CityOttawa
Period16/05/2219/05/22

Keywords

  • Gaussian process regression
  • cross-sectional velocity distribution
  • particle velocity
  • square-shaped pipe
  • two-phase flow

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