Automation of sedimentation test

2018 ◽  
Vol 77 (7) ◽  
pp. 1960-1966
Author(s):  
T. Turlej
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Processing Method ◽  
Particle Suspension ◽  
Separation Boundary ◽  
Jar Test ◽  
Automated Method ◽  
Different Types ◽  
Ccd Image ◽  
Good Agreement

Abstract This paper reports on the development of an automated method to perform sedimentation tests on a suspension, to study the settling and sedimentation behaviour of particle suspension. The standard method for measuring sedimentation rate is the jar test, but this is burdened with some errors: the possibility of misinterpretation of the interface or subjective readings by technicians. In order to overcome these problems, there are many different methods that exclude subjective mistakes. The proposed solution automatically detects the phase separation boundary and, by use of a moving camera, plots the real-time sedimentation curve. The good agreement of settling curves between the manual method, another CCD image processing method and the current technique demonstrates the reliability of the system. This system can be used for testing different types of suspensions. The article presents a comparison of the commonly used method of image analysis and the proposed solution with a tracking camera, based on the example of a coal suspension.

Measuring Lubricant Film Thickness with Image Analysis

1994 ◽  
Vol 208 (3) ◽  
pp. 199-205 ◽  
Author(s):  
L Gustafsson ◽  
E Höglund ◽  
O Marklund
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Film Thickness ◽  
White Light ◽  
Video Camera ◽  
Processing Method ◽  
Lubricant Film ◽  
Lubricant Film Thickness ◽  
Fringe Order ◽  
Naked Eye

Determining lubricant film thickness between contacting bodies under elastohydrodynamic (EHD) conditions is often simulated by using a ball/cylinder and transparent disc apparatus together with an interferometry technique. The simulated contact will have a point or elliptic shape and the light used can be white or monochromatic. The interference pattern is normally photographed with a regular camera or a video camera and the pictures are then evaluated by the naked eye of the observer. In most cases, only central or minimum thicknesses are evaluated. In this paper an image processing method for the analysis of film thickness is presented. This method makes it possible to extract considerably more information about film thickness fluctuations than is achievable by the naked eye. The method primarily matches hue (but also saturation and intensity values) from digitized colour interferometric images of the unknown film shapes with calibration values obtained with known geometric shapes. The method is shown to work well in the range from 95 up to 700 nm with white light and makes the results unbiased by the observer. Furthermore, absolute film thickness can be evaluated without prior knowledge about the fringe order in the interferogram.

A study on dispersions of CB and CNT in PP/EPDM composites and their mechanical reinforcement

2019 ◽  
Vol 28 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Xiaohang Tuo ◽  
Guizhi Ma ◽  
Qian Tan ◽  
Yumei Gong ◽  
Jing Guo
Keyword(s):  
Mechanical Properties ◽  
Image Processing ◽  
Image Analysis ◽  
Carbon Materials ◽  
Influencing Factor ◽  
Processing Method ◽  
Dominant Factor ◽  
Ethylene Propylene Diene Monomer ◽  
Reinforced Composites ◽  
Mechanical Reinforcement

Carbon material (carbon black (CB) and carbon nanotube (CNT)-reinforced composites are being studied widely. The content of the reinforcing materials is known as the main influencing factor. However, the dispersion of the reinforcing materials is often neglected or, where it is investigated, not thoroughly evaluated. In this article, the dispersion states of carbon materials in the composite materials were quantitatively analyzed using an image processing method. Meanwhile, the reliability of the image analysis was verified through the testing results of the mechanical and rheological properties of the composites. Both CB and CNTs improved the mechanical properties of maleic anhydride-grafted polypropylene (PP)/ethylene propylene diene monomer composites, wherein their dispersion was the dominant factor instead of their content. The dispersion of the easily agglomerated CNT was significantly poorer than that of CB. Therefore, CB was better in inducing the crystallization of PP.

scholarly journals Athletes Tracking using Homography Method: a Preliminary Study

2018 ◽  
Vol 7 (4.27) ◽  
pp. 6
Author(s):  
Khairul Imran Sainan ◽  
Mirwansah Mohamad ◽  
Zulkifli Mohamed3 ◽  
Saiful Bahari Saari ◽  
Muhd Faiz Mat ◽  
...  
Keyword(s):  
Image Processing ◽  
Coordinate System ◽  
Particle Tracking ◽  
Processing Method ◽  
Reference Points ◽  
Wearable Device ◽  
Football Match ◽  
System Use ◽  
Coordinate Data ◽  
Good Agreement

Particle tracking has been used widely to track a single particle motion or trajectory in a medium. One of the applications of the particle tracking is in sports analysis. The tracking method can be divided into, the wearable device based system and the image based system. The wearable device based system utilizing global (GPS) and local (LPM) positioning system to track player movement. The image based system use video image processing to track the player movement and recorded is frames basis. However, the image processing method in a football match requires correction as it is normally recorded from the side of the field. Thus, to solve this problem a set of mathematical solution is needed to convert the image coordinate system (pixels) to the actual coordinate system (meters). The most commonly used is the homography method. The technique requires at least 4 reference points to transform the image coordinate into the actual coordinate system. In this project, a futsal game was recorded. The image coordinate of the player were marked in each frame with respect to the time. The image coordinate data were converted into the actual coordinate using homography matrix. Comparisons were made between the homography technique method and open-source available image warp processing method for validation. Based on the result, the homography coordinate transformation system produce a good agreement with actual player activity on the field.  

Crosstalk Minimization Method for Eye-tracking-based 3D Display

2020 ◽  
Author(s):  
Seok Lee ◽  
Juyong Park ◽  
Dongkyung Nam
Keyword(s):  
Image Processing ◽  
Eye Tracking ◽  
Three Dimensional ◽  
Processing Method ◽  
Eye Position ◽  
Relative Location ◽  
3D Display ◽  
Minimization Method ◽  
3D Crosstalk ◽  
Pixel Value

In this article, the authors present an image processing method to reduce three-dimensional (3D) crosstalk for eye-tracking-based 3D display. Specifically, they considered 3D pixel crosstalk and offset crosstalk and applied different approaches based on its characteristics. For 3D pixel crosstalk which depends on the viewer’s relative location, they proposed output pixel value weighting scheme based on viewer’s eye position, and for offset crosstalk they subtracted luminance of crosstalk components according to the measured display crosstalk level in advance. By simulations and experiments using the 3D display prototypes, the authors evaluated the effectiveness of proposed method.

An Automated Method for the Determination of Serum Calcium with Glyoxal Bis (2-Hydroxyanil)

1967 ◽  
Vol 13 (6) ◽  
pp. 515-520 ◽  
Author(s):  
Genevieve Farese ◽  
Janice L Schmidt ◽  
Milton Mager
Keyword(s):  
Serum Calcium ◽  
Automated Analysis ◽  
Automated Method ◽  
Good Agreement

Abstract A completely automated analysis is described for the determination of serum calcium with glyoxal bis (2-hydroxyanil) solution (GBHA). The method is simple and precise, and the data obtained are in good agreement with results obtained by the manual GBHA procedure.

scholarly journals Research on Image Processing Method of High Voltage Switchgear Temperature Measurement

2020 ◽  
Vol 440 ◽  
pp. 032111
Author(s):  
Longji Du ◽  
Shi Zhang ◽  
Liming Chen ◽  
Jinglong Ye ◽  
Meiting Ma ◽  
...  
Keyword(s):  
Image Processing ◽  
Temperature Measurement ◽  
High Voltage ◽  
Processing Method ◽  
Image Processing Method

scholarly journals Constitutive Modeling of the Densification Behavior in Open-Porous Cellular Solids

Materials ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 2731
Author(s):  
Ameya Rege
Keyword(s):  
Constitutive Model ◽  
Cell Walls ◽  
Compressive Strain ◽  
Pore Collapse ◽  
Compressive Response ◽  
Linear Elastic ◽  
Nonlinear Springs ◽  
Different Types ◽  
Point Of Intersection ◽  
Good Agreement

The macroscopic mechanical behavior of open-porous cellular materials is dictated by the geometric and material properties of their microscopic cell walls. The overall compressive response of such materials is divided into three regimes, namely, the linear elastic, plateau and densification. In this paper, a constitutive model is presented, which captures not only the linear elastic regime and the subsequent pore-collapse, but is also shown to be capable of capturing the hardening upon the densification of the network. Here, the network is considered to be made up of idealized square-shaped cells, whose cell walls undergo bending and buckling under compression. Depending on the choice of damage criterion, viz. elastic buckling or irreversible bending, the cell walls collapse. These collapsed cells are then assumed to behave as nonlinear springs, acting as a foundation to the elastic network of active open cells. To this end, the network is decomposed into an active network and a collapsed one. The compressive strain at the onset of densification is then shown to be quantified by the point of intersection of the two network stress-strain curves. A parameter sensitivity analysis is presented to demonstrate the range of different material characteristics that the model is capable of capturing. The proposed constitutive model is further validated against two different types of nanoporous materials and shows good agreement.

Defect Measurement in Welded Objects by Radiography Testing and Chambolle’s Image Processing Method

2021 ◽  
Vol 40 (2) ◽  
Author(s):  
Amir Movafeghi ◽  
Effat Yahaghi ◽  
Mahdi Mirzapour ◽  
Pouyan ShayganFar
Keyword(s):  
Image Processing ◽  
Processing Method ◽  
Image Processing Method
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