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14 August 2019 The method and a stand for measuring aerodynamic forces in every plane on the basis of an image analysis
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Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111793F (2019) https://doi.org/10.1117/12.2539963
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
In order to construct highly productive drilling machines in which sowing material is transported using air, the manner in which a seed behaves in seed pneumatic transportation requires deeper comprehension. Under the LIDER VIII project, the agreement number: LIDER/24/0137/L-8/16NCBR/2017, it is essential to simulate sowing material movement in seed drill tubes so as to identify an optimal position of sensors in a drill coulter. In order to perform simulating tests, the behaviour of caryopses in pneumatic channels needs to be identified first, especially of the drag coefficient Cx which determines the aerodynamic force. The literature presents various methods of aerodynamic characteristics measurements but none of them allow the drag coefficient to be determined in every plane. The aim of the work is to develop the method and a test stand for measuring seed drag force in every plane – helping to determine Cx. According to the accepted methodology, aerodynamic measurements at a tailored-made stand applying the programme called “Displacement” to analyse taken pictures i.e. pendulum inclinations are going to be performed. The work presents possibilities to apply a new method of the aerodynamic force measurement and determination of the coefficient Cx at a special stand in the form of micro aerodynamic channel along with the software.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ł. Gierz "The method and a stand for measuring aerodynamic forces in every plane on the basis of an image analysis", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111793F (14 August 2019); https://doi.org/10.1117/12.2539963
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