scholarly journals Aerodynamic properties of six organo-mineral fertiliser particles

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Marcello Biocca ◽  
Pietro Gallo ◽  
Paolo Menesatti
Keyword(s):  
Image Analysis ◽  
Wind Tunnel ◽  
Working Conditions ◽  
Slow Release ◽  
Morphological Characteristics ◽  
Aerodynamic Characteristics ◽  
Terminal Velocity ◽  
Analysis Procedure ◽  
Aerodynamic Properties

Agricultural fertilisers are generally applied by means of centrifugal disk spreaders. The machinery, the working conditions and the physical characteristics of fertilizers (including the aerodynamic characteristics of particles) may affect the behaviour of particles after the discarding from the spreader. We investigated the aerodynamic properties of organo-mineral fertilisers (a class of slow release fertilisers that are less investigated since they are relatively new in the market) using a vertical wind tunnel similar to an elutriator. In the same time, the morphological characteristics of individual fertilizer particles were measured by means of an image analysis procedure. In the study we compare six different fertilisers and we discuss the suitability of the employed methods. The results provide the terminal velocity – Vt – (the velocity value that overcome the gravity force of the particles) of the particles, ranging from 8.60 to 9.55 m s-1, and the relationships between Vt and some physical properties (mass, shape, dimensions) of the fertilizers. Moreover, the results of field distribution trials show the behaviour of the tested fertilizers during practical use. Such data can contribute to enhance the quality of application of these products in field.

scholarly journals Effect of moisture content on terminal velocity of lentil grain

2019 ◽  
Vol 65 (No. 1) ◽  
pp. 7-12
Author(s):  
Zahra Basati ◽  
Ezzatollah Askari Asli- Ardeh ◽  
Vali Rasooli-Sharabiani
Keyword(s):  
Wind Tunnel ◽  
Moisture Content ◽  
Aerodynamic Characteristics ◽  
Terminal Velocity ◽  
Mean Value ◽  
Vertical Wind ◽  
Airflow Rate ◽  
Section Area ◽  
The Mean ◽  
Different Parts

One of the aerodynamic characteristics of lentil is its terminal velocity. In order to determinate the terminal velocity, was designed a vertical wind tunnel. It was fabricated based on existing methods and standards. For decreasing the non-uniformity of airflow in the vertical wind column, was used a honey comb test area with 5 mesh screens. So, a wind tunnel nozzle was designed and fabricated using Morel method with the aim of increasing airflow rate and decreasing losses due to mesh screens. The height and section area of tunnel were 1.425 m and 0.1 × 0.1 m2, respectively. The pressure loss values were calculated at different parts of tunnel and then, the required power of tunnel was determined. In this study, lentil grains of Kimia and Gachsaran varieties were separated at three groups based on their size (small, medium and large). Then, the terminal velocity was measured at 5 levels of moisture content (8, 12, 16, 20 and 24% (w.b.)) for each group. The results showed that Kimia and Gachsaran variety had the highest (7.204 m·s–1) and the lowest (6.987 m·s–1) terminal velocity, respectively. The mean value of terminal velocity increased linearly from 6.751 to 7.396 m·s–1 by increasing the moisture content from 8 to 24% (w.b.). Also, by increasing the grains dimension from small to large, the terminal velocity increased from 6.345 to 7.792 m·s–1.

scholarly journals KAJIAN KARAKTERISTIK FISIK, MEKANIK DAN AERODINAMIK DAUN TEH HASIL PETIKAN YANG TELAH DILAYUKAN

2020 ◽  
Vol 9 (3) ◽  
pp. 171
Author(s):  
Agus Sutejo ◽  
Mardjan Suro Sutrisno ◽  
Hermawan Wawan ◽  
Desrial Desrial
Keyword(s):  
Aerodynamic Characteristics ◽  
Terminal Velocity ◽  
Separation System ◽  
Tea Leaves ◽  
Yield Value ◽  
Leaf Yield ◽  
Stems And Leaves ◽  
Tea Leaf ◽  
Range Of Values

The design of the wilted tea stalk and leaf separation system aims to improve the quality of the tea produced especially by separating the tea leaves and stalks at the beginning of the process. Stages that are needed to be done include designing a chopper machine that is capable of chopping tea stems and leaves to a certain size and designing stem and leaf separation system with the pneumatic principle with suction. In this study, physical, mechanical and aerodynamic characteristics of tea leaves were measured. The result showed that force to release a leaf is in the range of values between 12.24-16.17 N smaller than the need for the cutting force of the stem and leaves and the greatest difference in force is achieved at a water content between 55 and 58% bb (leaves) and 66-68% bb (stalk). The leaf terminal velocity is <3 m s-1 while the tea terminal velocity is > 9 m s-1. Tea leaf yield value is very important as a reference in testing the performance of tea and tea leaf separator machines where the average leaf yield is 77.33% and the average stem yield is 22.67%. Keywords: characteristic of tea leaves, engineering, separation of tea leaves, withering of tea leaves

scholarly journals Kinerja Mesin Pemisah Potongan Tangkai dan Daun Teh

2018 ◽  
Vol 7 (3) ◽  
pp. 160
Author(s):  
Agus Sutejo ◽  
Sutrisno Suro Mardjan ◽  
Wawan Hermawan ◽  
Desrial Desrial
Keyword(s):  
Raw Materials ◽  
Physical Property ◽  
Terminal Velocity ◽  
Combined Treatments ◽  
Tea Leaves ◽  
Suction Velocity ◽  
Average Mass ◽  
Aerodynamic Properties ◽  
The Difference

The quality of dried tea depends on the condition of raw materials and processing methods. The problem in the tea processing is the mixture of pieces of stalks and leaves. This research aims to examine the performance of stalks and leaves machine separator based on the difference of suction velocity and the terminal velocity of the material. The separator was designed according to the physical and aerodynamic properties of tea leaves. The performance of the separator was done by calculating the separating efficiency of five combined treatments (P, P1a, P1b, P0a, and P0b) and calculating the separating capacity with three feeding treatments (0.4 kg/sec, 0.5 kg/sec, and 0.6 kg/sec). Physical property observation of the tea leaves obtained an average mass 0.143 kg/m² which means the theoretical suction pressure needed is about 1.4 Pa. The actual terminal velocity measured as 7.5 m/sec for the stalk pieces and 3.0 m/sec for the leaf pieces. The optimum separating efficiency was obtained at P treatment, it was about 97.6 %, with average suction ir velocity 3.15 m/s. Optimum separating capacity was obtained about 354.29 kg/hour.

Characteristic and Affection Analysis on Air into the Cabin Process Based on Wind Tunnel

2014 ◽  
Vol 472 ◽  
pp. 333-337
Author(s):  
He Chang ◽  
Xiu Min Yu ◽  
Sheng Jian Li ◽  
Lu Liu ◽  
Jing Hua Lv
Keyword(s):  
Wind Tunnel ◽  
Working Conditions ◽  
Wind Tunnel Test ◽  
Aerodynamic Characteristics ◽  
Important Application ◽  
Bench Test ◽  
Vehicle Speed ◽  
Pressure Zone ◽  
Cooling Module ◽  
High Pressure Zone

The wind tunnel test dating for the cooling module in the vehicle conditions shows that the actual fan rotation is evidently different from the fan in bench test rotation. There is an intake high pressure zone. It is easy to conduct airflow into the cabin, and under the cabin, there is a negative pressure zone. It is easy to conduct airflow outside the cabin. Both of the different pressure zones affect the fan rotation. Air path of the cabin is divided into three different areas. Base on the parameters of CP BIR and-CP, the aerodynamic characteristics of the cabin build the cooling module under the vehicle working conditions. The model can predict the states of the fan working, when the target vehicle speed conditions are met, and it has important application value for the design of intelligent cooling module control system as well.

An image analysis based expert system for assessing the quality of freeze-dried protein formulations

2012 ◽  
Author(s):  
Jukka Rantanen ◽  
Hjalte Trnka ◽  
Jian Wu ◽  
Marco van de Weert ◽  
Holger Grohganz
Keyword(s):  
Image Analysis ◽  
Expert System ◽  
Protein Formulations ◽  
Freeze Dried

Working Conditions and Special Educators’ Reading Instruction for Students With Emotional and Behavioral Disorders

2021 ◽  
pp. 001440292199982
Author(s):  
Hannah Morris Mathews ◽  
Jennifer L. Lillis ◽  
Elizabeth Bettini ◽  
David J. Peyton ◽  
Daisy Pua ◽  
...  
Keyword(s):  
Reading Instruction ◽  
Behavioral Disorders ◽  
Working Conditions ◽  
Special Educators ◽  
Emotional And Behavioral Disorders ◽  
Collegial Support ◽  
Instruction Time ◽  
Role Conceptions ◽  
Students With Ebd

Working conditions may be an important lever to support special educators’ reading instruction for students with emotional and behavioral disorders (EBD). Thus, we explored how working conditions relate to the quality of special educators’ reading instruction in upper-elementary, self-contained classes for students with EBD. Using mixed methods to examine video observations of reading instruction and varied data sources on working conditions, we found that special educators who provided stronger instruction had a partner coleading their program, and consistent paraprofessionals, with time and support for training. Partners and paraprofessionals, together, protected special educators’ instruction time. Other conditions (i.e., material resources, role differentiation, role conceptions, planning time) emerged as potentially important, but evidence was less robust. Results indicate partners and paraprofessionals may be important forms of collegial support. These findings have important implications for improving the quality of instruction in self-contained settings for students with EBD.

scholarly journals Classification of total carotene and quality of chili pepper (Capsicum frutescens) based on image analysis

2021 ◽  
Vol 733 (1) ◽  
pp. 012005
Author(s):  
Y Hendrawan ◽  
R Utami ◽  
D Y Nurseta ◽  
Daisy ◽  
S Nuryani ◽  
...  
Keyword(s):  
Image Analysis ◽  
Chili Pepper ◽  
Capsicum Frutescens

scholarly journals Assessment of the Content of Dry Matter and Dry Organic Matter in Compost with Neural Modelling Methods

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 307
Author(s):  
Dawid Wojcieszak ◽  
Maciej Zaborowicz ◽  
Jacek Przybył ◽  
Piotr Boniecki ◽  
Aleksander Jędruś
Keyword(s):  
Image Analysis ◽  
Organic Matter ◽  
Dry Matter ◽  
Neural Model ◽  
Original Method ◽  
Neural Models ◽  
Test Error ◽  
Effective Assessment ◽  
Modelling Methods

Neural image analysis is commonly used to solve scientific problems of biosystems and mechanical engineering. The method has been applied, for example, to assess the quality of foodstuffs such as fruit and vegetables, cereal grains, and meat. The method can also be used to analyse composting processes. The scientific problem lets us formulate the research hypothesis: it is possible to identify representative traits of the image of composted material that are necessary to create a neural model supporting the process of assessment of the content of dry matter and dry organic matter in composted material. The effect of the research is the identification of selected features of the composted material and the methods of neural image analysis resulted in a new original method enabling effective assessment of the content of dry matter and dry organic matter. The content of dry matter and dry organic matter can be analysed by means of parameters specifying the colour of compost. The best developed neural models for the assessment of the content of dry matter and dry organic matter in compost are: in visible light RBF 19:19-2-1:1 (test error 0.0922) and MLP 14:14-14-11-1:1 (test error 0.1722), in mixed light RBF 30:30-8-1:1 (test error 0.0764) and MLP 7:7-9-7-1:1 (test error 0.1795). The neural models generated for the compost images taken in mixed light had better qualitative characteristics.

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