Open AccessMeasure liquid viscosity by tracking falling ball Automatically depending on image processing algorithm
Author(s) -
Sarah Ali,
Ali A. Al-Zuky,
Anwar H. Al-Saleh,
Haidar J. Mohamad
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1294/2/022002
Subject(s) - terminal velocity , ball (mathematics) , viscometer , viscosity , measure (data warehouse) , algorithm , tracking (education) , matching (statistics) , falling (accident) , computer science , mechanics , mathematics , physics , mathematical analysis , thermodynamics , statistics , medicine , psychology , pedagogy , environmental health , database
Abstrac. A fast method presented within this paper to find transparent liquid viscosity. An introduced tracking algorithm in image processing used to find a terminal velocity automatically of a falling ball in a tube that filled with a tested liquid. Terminal velocity considered an important parameter to find a liquid viscosity. Therefore, four iron balls, with different diameters and a smartphone camera are used to measure the falling ball terminal velocity. The estimated velocity from the introduced algorithm is compared with the calculated velocity and shows a good matching. The second algorithm used to estimate the viscosity of the tested liquid. The limitation of the ball diameter around 5mm to measure the terminal velocity. The result shows error matching between the fitting data and the estimated data ranging (0.00-0.1%). This method is a faster and easier experiment to use to find any transparent liquid viscosity comparing with a viscometer.