scholarly journals UJI DISTRIBUSI SEMPROTAN SPRAYER PESTISIDA DENGAN PATTERNATOR BERBASIS WATER LEVEL DETECTOR

2020 ◽  
Vol 9 (2) ◽  
pp. 85
Author(s):  
Agus Dharmawan ◽  
Siswoyo Soekarno
Keyword(s):  
Distribution Pattern ◽  
Water Level ◽  
Sensor Calibration ◽  
Liquid Volume ◽  
Nozzle Height ◽  
Droplet Distribution ◽  
Knapsack Sprayer ◽  
Spray Distribution ◽  
Level Detector ◽  
Traveling Speed

The research aimed to examine droplet distribution using a knapsack sprayer with a water level detector-based patternator. The tests consist of measuring spraying discharge, effective spray wide and height, droplet distribution pattern and area, and traveling speed. The sensor calibration showed that the system read the liquid volume in the container with R2 = 0.99 at a linear curve: y = 2.572 + 2.502x.  The spray discharge was 0.033 L/s. The optimal spray was at 60 cm-nozzle height with effective spray wide and height were 0.64 m and 0.344, respectively. The spray distribution pattern illustrated that nozzle height affected droplet areas. The traveling speed due to nozzle height at 40 to 70 cm was 0.29 to 0.58 m/s, and had a line-up tendency, whereas spraying capacity was declined 1298 to 562 L/Ha.Keywords: Spray distribution, patternator, sprayer, water level detector

scholarly journals Spraying systems and traveling speed in the deposit and spectrum of droplets in cotton plant

2015 ◽  
Vol 35 (6) ◽  
pp. 1042-1052 ◽  
Author(s):  
Jhonatan D. Cavalieri ◽  
Carlos G. Raetano ◽  
Ronaldo P. Madureira ◽  
Lais L. Q. Moreira
Keyword(s):  
Cotton Plant ◽  
Middle Part ◽  
Operating Conditions ◽  
Phenological Stages ◽  
Spray System ◽  
Leaf Surfaces ◽  
Plant Stage ◽  
Spray Distribution ◽  
Traveling Speed

ABSTRACT Tractor traveling speed can influence the quality of spraying depending on the application technology used. This study aimed to evaluate the droplet spectrum, the deposition and uniformity of spray distribution with different spraying systems and traveling speeds of a self-propelled sprayer in two phenological stages of the cotton plant (B9 and F13). The experimental design was randomized blocks and treatments were three spraying techniques: common flat spray tips; tilted flat jet with air induction, at 120 L ha-1; and rotary atomizer disk, 20 L ha-1, combined with four traveling speeds: 12, 15, 18 and 25 km h-1, with four replications. Spraying deposition was evaluated for both leaf surfaces from the cotton plant apex and base (stage B9) and middle part of the plant (stage F13) with a cupric marker. A laser particle analyzer also assessed the droplet spectrum. The centrifugal power spray system produces more homogeneous droplet spectrum and increased penetration of droplets into the canopy in both phenological stages. Variation on the operating conditions necessary for increased traveling speed negatively influences the pattern of spraying deposits.

scholarly journals Effect of Nozzle Angle, Size and Pressure on Spray Distribution based on Laboratory Conditions

2019 ◽  
Vol 9 (1) ◽  
pp. 2522-2525
Keyword(s):  
Peak Height ◽  
Liquid Volume ◽  
Distribution Data ◽  
Spray Parameters ◽  
Spray Pattern ◽  
Angle Size ◽  
Laboratory Conditions ◽  
Nozzle Size ◽  
Spray Distribution ◽  
Pattern Width

The objective of this study is to investigate spray parameters for different 40°– 95° even flat fan nozzle angles for banding spraying application, such as spray pattern width and spray volumetric distribution at pressures of 2 and 3bar using different nozzle sizes (0.15, 0.2, 0.3, 0.4 gpm). Spray distribution data was extracted from spray analyzer system or patternator. The results showed that nozzle angle and pressure significantly affected the spray pattern width. In addition, as the nozzle size increased, the liquid volume and the peak height under the nozzle center increased. These results suggest that the use of bigger nozzle angles improved the spray volumetric distribution.

Experimental Analysis of Spray Distribution Pattern Uniformity for Agricultural Nozzles

1995 ◽  
Vol 11 (1) ◽  
pp. 51-55 ◽  
Author(s):  
L. Wang ◽  
N. Zhang ◽  
J. W. Slocombe ◽  
G. E. Thierstein ◽  
D. K. Kuhlman
Keyword(s):  
Distribution Pattern ◽  
Experimental Analysis ◽  
Spray Distribution

scholarly journals Water level detector for early warning systems using color difference measurement

2018 ◽  
Author(s):  
Fendi Aji Purnomo ◽  
Nanang Maulana Yoeseph ◽  
Berliana Kusuma Riasti ◽  
Ryan Wahyu Anggara
Keyword(s):  
Water Level ◽  
Early Warning ◽  
Color Difference ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Difference Measurement ◽  
Level Detector

scholarly journals Testing of the droplet phase model during the experiment on modeling the formation of acidulous cloud

2021 ◽  
pp. 46-52
Author(s):  
Vladimir Viktorovich Pekunov
Keyword(s):  
Mathematical Model ◽  
Numerical Modeling ◽  
Solar Radiation ◽  
Water Level ◽  
Ecological Model ◽  
Diffuse Solar Radiation ◽  
Droplet Distribution ◽  
Complex Mathematical Model ◽  
Comparison Of The Results ◽  
Droplet Phase

The problem of numerical modeling of the formation (as a result of condensation growth and droplet collisions) and development of primary acidulous cloud considers various factors: the presence of temperature gradients, turbulence, direct solar radiation heating the air and walls of buildings, diffuse solar radiation (which describes radiation cooling), transfer of gaseous pollutants and their absorption by droplets. The author earlier formulated the corresponding complex mathematical model that takes into account the aforementioned factors. This article sets the task of testing the droplet component of this model through numerical modeling of the processes in the emerging cloud, with subsequent comparison of the results with theoretical and empirical correlations. The author obtained the new results of numerical modeling of acidulous cloud in the air over a vast urban area with high-density development  on the basis of the comprehensive mathematical model that takes into account the above listed factors and relies on the interpolation-sectional submodel of droplet phase. The author models the dynamics and kinetics of such cloud that absorbs gaseous sulphur dioxide; and obtains results on the intensity of absorption of this pollutant in the forming cloud. The comparison of these results with the known data (Hrgian-Mazin droplet distribution and interpolation ratio for the water level of the cloud) demonstrated quite a coincidence of droplet distribution and water level of the cloud. The conclusion is made on sufficient adequacy of application of the ecological model that includes a special submodel of droplet phase.  

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