Characterization of Burner Stabilized Premixed and Non-Premixed Flame Using Digital Image Processing

Author(s):  
Tarik Hassan ◽  
Sourav Sarkar ◽  
Achintya Mukhopadhyay ◽  
Swarnendu Sen

Abstract The present goal of combustion research is to enhance the burning efficiency resulting in minimal emission which is in fact, paves the way for a sustainable future. Researchers are investigating different parameters and factors associated with combustion to control the combustion process. Image processing is one of the most useful and safe tool for this job as it is nonintrusive and do not interfere with the combustion zone during experiment. Present work focuses on the digital image processing of the premixed and diffusion flame which has been utilized as a tool to characterize burner stabilized premixed and non-premixed Flame. The experiment is performed on a burner stabilized LPG-air flame. For premixed flame, several sets of experiments are done keeping the camera setting and image quality identical which resulted in an almost linearly increasing average RGB value with respect to equivalence ratio. Taking the relation of an experiment as standard, equivalence ratio is calculated for other experiments just by observing the average RGB value(R+G+B/3) of that image. It is found that almost in all cases the error values are lying between −10% to +10% of the actual value calculated from the flow rates of air and fuel. Diffusion flame is examined by passing fuel through the central channel of co-flow burner and air through the outer cylindrical channel. Air is used to stabilize the flame and for giving it a steady shape. Experiment is done keeping air flow constant while the fuel flow is varied and the image is captured. For diffusion flame, as the change in colour of flame is not much differentiable with the change in fuel, analysis is done to find the relation between fuel flow rate and flame area by counting the number of pixels. Finally, a direct relation of fuel amount and the image area is obtained.

2018 ◽  
Vol 73 ◽  
pp. 13023
Author(s):  
Siska Febrina Fauziah ◽  
Suryono Suryono ◽  
Melyana Nurul Widyawati

Most of maternal mortality is directly caused by obstetric hemorrhage and almost three-quarters of it take place in postpartum period. The risk of maternal death due to hemorrhage can be reduced with prompt and proper care that in turn relates to the blood loss measurement method used. Unfortunately, the most commonly practiced method is not yet accurate enough. This research proposes a postpartum blood loss measurement method using digital image processing. Initially, characterization is carried out to find out blood absorbance against digital image area and blood volume in the underpad. Results of this characterization then serve as the basis for blood loss measurement using digital image processing. This measurement basis is validated by measuring blood volume lost during delivery care. Results show that the area and volume of blood absorbed in the underpad has significant linear relation (R = 0.9734). Digital image processing can be used to measure postpartum blood loss with a high accuracy up to 83.7%. The use of this method is therefore an accurate and objective alternative to the other available method. Nonetheless, the use of this new method must also adhere to standard guidelines in delivery care as to ensure the utmost outcomes.


1988 ◽  
Vol 34 (117) ◽  
pp. 249-252 ◽  
Author(s):  
Donald K. Perovich ◽  
Akira Hirai

AbstractInexpensive add-on boards are currently available that enable personal computers to be used as digital image-processing systems. The capabilities of one such system are illustrated by two specific cases examining the surface characterization of a sea-ice cover and the statistical description of sea-ice structure. The unit discussed digitizes video input into a 512 × 512 array of pixels, assigning each a gray shade from 0 to 255. A key feature of the system is that the primitive commands of the board can be accessed through higher-level programming languages. This allows users to customize easily the system for their own needs.


1988 ◽  
Vol 34 (117) ◽  
pp. 249-252 ◽  
Author(s):  
Donald K. Perovich ◽  
Akira Hirai

AbstractInexpensive add-on boards are currently available that enable personal computers to be used as digital image-processing systems. The capabilities of one such system are illustrated by two specific cases examining the surface characterization of a sea-ice cover and the statistical description of sea-ice structure. The unit discussed digitizes video input into a 512 × 512 array of pixels, assigning each a gray shade from 0 to 255. A key feature of the system is that the primitive commands of the board can be accessed through higher-level programming languages. This allows users to customize easily the system for their own needs.


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