SEARCH WITHIN CONTENT
Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 4, Issue 2, Pages 313-324, DOI: https://doi.org/10.21307/ijssis-2017-441
License : (CC BY-NC-ND 4.0)
Received Date : 21-March-2011 / Accepted: 17-May-2011 / Published Online: 01-June-2011
In many industries where flow parameters measurement is essential to control manufacturing process, the use of a reliable, cost effective and high accuracy instrument is an important issue. Appropriate measurement method and design leads to improvement of pneumatic conveyors operation and process efficiency. This paper present an instrumentation design based on passive charge detection using a single electrostatic sensor. Two different sensor electrodes are applied to show the flexibility of electrostatic sensor application. A time domain signal processing algorithm is developed to measurement of mass flow rate and concentration profile from acquired electrical charge signal. The findings is led to a low cost and high accuracy design, the experimental test results of the design shows less than 5%± error between measured parameters and reference reading acquired from the manual weighing.
 Barratt, I. R.; Yan, Y.; Byrne, B.; Bradley, M. S. A., "Mass flow measurement of pneumatically conveyed solids using radiometric sensors," Flow Measurement and Instrumentation, vol. 11, pp. 223-235, 2000.
 Xu, L.; Cater, R, M.; Yan, Y., "Mass flow measurement of fine particles in a pneumatic suspension using electrostatic sensing and neural network technique," IMTC 2005-Instrumentation and Measurement, vol. 1, pp. 17-19, 2005.
 Beck, M.S.; Green, R. G.; Thorn, R., "Non-Intrusive measurement of solids mass flow in pneumatic conveying," J. Phys. E: Sci. Insrtum, vol. 20, pp. 835-840, 1987.
 Green, R. G.; Rahmat, M. F.; Evans, K.; Goude, A.;Henry, M.; Stone, J. A. R., "Concentration profiles of dry powders in a gravity conveyor using an electrodynamic tomography system," Meas. Sci. Technol, vol. 8, pp. 192-197, 1997.
 Isa, M.D.; Rahmat, M. F.; Jusoff, K.; Hussin, T. A. R., "Validation process for electrical charge tomography system using digital image technique," Applied Physics Research, vol. 1, pp. 11-18, 2009.
 Rahmat, M. F.; Sabit, H. A. , "Flow regime identification using neural network based electrodynamic tomography system," Jurnal Teknologi, pp. 109-118, 2004.
 Yan, Y., "Mass flow measurement of bulk solids in pneumatic pipelines," Measurement Science and Technology, vol. 7, pp. 1687-1706, 1996.
 Rahmat, M.F.; Kamaruddin,N.S., "An electrodynamic sensor for electrostatic charge measurement," International Journal on Smart Sensing and Intelligent Systems, vol. 2, pp. 200-212, 2009.
 Rahmat, M. F.; Kamaruddin, N. S.; Isa, M. D., "Flow regime identification in pneumatic conveyor using electrodynamic transducer and fuzzy logic method," International Journal on Smart Sensing and Intelligent Systems, vol. 2, pp. 396-416, 2009.
 Zhang, J. Q.; Yan, Y., "On-line continuous measurement of particle size using electrostatic sensor," Powder Technology, pp. 164-168, 2003.