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RATIONALIZING THE TECHNICAL AND TECHNOLOGICAL PARAMETERS OF SEA BUCKTHORN REFINING EQUIPMENT Ganbold Dagvadorj, Tuvshinjargal Dorjsuren, Baatarkhuu Dorjsuren
Ganbold Dagvadorj, Tuvshinjargal Dorjsuren, Baatarkhuu Dorjsuren. (2022) Rationalizing the Technical and Technological Parameters of Sea Buckthorn Refining Equipment. World Science. 4(76). doi: 10.31435/rsglobal_ws/30062022/7838
https://doi.org/10.31435/rsglobal_ws/30062022/7838 02 June 2022 18 June 2022 29 June 2022
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RATIONALIZING THE TECHNICAL AND TECHNOLOGICAL PARAMETERS OF SEA BUCKTHORN REFINING EQUIPMENT
Ganbold Dagvadorj, Lecurer, School of Engineering and Technology, Mongolian University of Life Sciences, Ulaanbaatar, Mongolia
Tuvshinjargal Dorjsuren, Ph.D, Lecurer, School of Engineering and Economics, Mandakh University Mongolia, Ulaanbaatar, Mongolia
Baatarkhuu Dorjsuren, Ph.D, Associate Professor, School of Engineering and Technology, Mongolian University of Life Sciences, Ulaanbaatar, Mongolia, ORCID: https://orcid.org/0000-0002-0081-9H8
DOI: https://doi.org/10.31435/rsglobal_ws/30062022/7838
ARTICLE INFO
Received: 02 June 2022 Accepted: 18 June 2022 Published: 29 June 2022
KEYWORDS
Airflow Speed, Winnowing, Weight, Waste Matter, Refining Degree.
ABSTRACT
Conforming the severe continental weather, wild sea buckthorn clasps in a 14-thousand-hectare area around the river basin, the valley of Mongolia. Moreover, sea buckthorn was planted in 3900 hectares of field, 1.701.278 kg of sea buckthorn was harvested as of 2018. People tend to spend more time and man force refining the sea buckthorn from the waste matter. Thus, the authors set the goal to invent the refining equipment for sea buckthorn and rationalize the parameters f the equipment. For instance, the equipment refines 3.5kg of fruit, blast speed is 10 m/sec, and winnowing fluctuation is 80 min-1. Also, we defined the optimal value and made mathematical modeling of the refinement degree of the sea buckthorn.
Citation: Ganbold Dagvadorj, Tuvshinjargal Dorjsuren, Baatarkhuu Dorjsuren. (2022) Rationalizing the Technical and Technological Parameters of Sea Buckthorn Refining Equipment. World Science. 4(76). doi: 10.31435/rsglobal_ws/30062022/7838
Copyright: © 2022 Ganbold Dagvadorj, Tuvshinjargal Dorjsuren, Baatarkhuu Dorjsuren. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Introduction.
As stated in the government's food and agricultural policy, "The cultivation of the sea buckthorn will be increased to 10000 hectares, and other fruits will be increased to 2000 hectares by 2022" [6].
The weight of sea buckthorn is 0,32...0,52 gr, length 3,7...13,2 mm, width 6,1...10,6 mm. The proportion of the length and meridian which are important for cleaning, numbering, and transporting the fruit is between 0,72...0,95 for all sorts, thick 1020 Kg/m3, capacity 770...840 Kg/m3, specific weight 980...1020 Kg/m3, at the beginning of the ripeness 0,24 H, after freezing 3,5...4,5 H break by the pressing power, the yielding module of the fruit branches during the hooking period is 0,3...1,6 / 108 Pa [3]. There are plenty of research studies about the aerodynamic properties and physics of the sea buckthorn. However, there have not been any research studies about the equipment for refining sea buckthorn from waste matters since Avdai.Ch, in 1975. The sea buckthorn is harvested with waste matters (leaves, bud, buzz) without considering the harvesting tools, methods, and the ripening period. Therefore, people tend to spend much time and effort harvesting the sea buckthorn.
Nowadays, the sea buckthorn harvested with waste matters is packaged from 5 to 10kg, manually poured by falling, and blown twice with a propeller. Moreover, we spend more time and human resources harvesting the sea buckthorn. A worker spends 8 hours harvesting 10 kg of fruit manually, and 2-3 hours out of 8 hours is spent cleaning the fruit. On the other hand, 25-35% of the
total time is spent cleaning the harvested fruit [3]. Primarily, at the end of August and beginning of September, the fruit is harvested with its' leaves, bud, and shoot. There is a great need for equipment to clean the early harvested fruit preserved in the cellar and the frozen fruit.
Research materials and methodology.
We conducted a test for refining the sea buckthorn from the waste matter and made the testing equipment. When the waste matter is sieved on the winnowing, the more significant waste stays on the winnowing then the fruit and smaller scraps fall to the bunker. The smaller chunks are cleaned by blowing with the propeller from the winnowing after that sea buckthorn goes outside through the funnel.
Fig. 1. The equipment for refining the sea buckthorn from the waste 1 - winnowing, 2 - the engine for managing the winnowing, 3 - the managing module of the equipment, 4 - the fan blows with the airflow, 5 - framework, 6 - bunker, 7 - fruit funnel
The number of the winnowing fluctuation will be run by the potentiometer that is installed in the managing module. But the airflow speed from the blowing fan will be regulated by the barricade installed in the wall. We defined the target function for estimating the main parameters of the testing equipment.
1
2
zi
Z2
XI
>
> Refining process
>
X2
yl * y2
X3
Q1
Fig. 2. Target function Here: Input factor: x1 - blowing fan speed; x2 - winnowing fluctuation; x3 — sea buckthorn weight; output factor y1 - refining degree, %
y1=f(x1, x2, x3) ^ max
The level of the factors expressing the y indicator will be defined not only by Xi max, Xi-min but also in the 3rd and 5th levels or Boxing planning (e. g. 2nd stage rotatable planning) (ABgaM.H, 2017). The relevant value of the input factors was pre-defined and shown in table 2.
Table 1. Testing criterion
Influencing factors The changing parameters of the influencing factors Ji
x(0
-1.682 -1 0 +1 +1.682
Airflow speed Xj, m/s 9.372 10 11 12 12.68 1
Winnowing fluctuation, X2, 76.59 80 85 90 93.41 5
Sea buckthorn weight, X3, kg 2.812 3.5 4.5 5.5 6.182 1
Results of the Research.
We experimented by refining the sea buckthorn from the waste matter, and the result is shown in table 2.
Table 2. Experimentation matrix, results
№ Standard matrix Work matrix Output factor
Indicators Quaesitum of the indicators
Xi Xi X? X3 yi y?
1 10 80 3.5 92.606 93.58
2 + - - 12 80 3.5 91.251 91.87
3 - + - 10 90 3.5 92.419 92.56
4 + + - 12 90 3.5 88.335 89.49
5 - - + 10 80 5.5 92.61 93.28
6 + - + 12 80 5.5 94.355 90.55
7 - + + 10 90 5.5 90.112 94.19
8 + + + 12 90 5.5 90.301 89.92
9 -1.682 0 0 9.372 85 4.5 89.32 91.63
10 +1.682 0 0 12.68 85 4.5 87.069 88.17
11 0 -1.682 0 11 76.59 4.5 89.235 90.38
12 0 +1.682 0 11 93.41 4.5 87.249 87.41
13 0 0 -1.682 11 85 2.812 94.279 90.82
14 0 0 +1.682 11 85 6.182 91.799 94.22
15 0 0 0 11 85 4.5 88.272 92.48
16 0 0 0 11 85 4.5 88.062 90.54
17 0 0 0 11 85 4.5 90.919 92.54
18 0 0 0 11 85 4.5 91.93 92.17
19 0 0 0 11 85 4.5 90.93 89.61
20 0 0 0 11 85 4.5 90.465 89.3
Shapiro and Wilka's W calculation value was WT = 16,63 and the table value was Wx = 0,96. When we did the mathematical formulation conformed to the normal dispersion law, the calculation value of the Kohren G was GT = 0.13008 and the table value was lower than Gx = 0.3896 - which means it has the same dispersion. We identified the regression coefficient that expressed a relation between the factors and modeled multiple correlations.
y = 90.425 - 0.911x1 - 0.772x2 + 1.143xf (1)
The calculation value was FT = 1.9347. When we checked the equation by the Fischer criterion, FT < Fx = 2,447 then we confirmed that our modeling was the same.
_X1-11 _X2-85 _X3-4.5
X1 = i ; x2 = r ; x3 =
1
5
1
these parameters were replaced in the modeling and then we had the specific modeling. y = 136.715 — 0.911X1 — 0.1544X2 — 10.287X3 + 1.143X2
(2)
Image surface of the sea buckthorn refining degree:
Fig. 3. The correlation graphic between winnowing fluctuation and airflow speed of sea buckthorn refining degree y = f(X1, X2)
Fig. 4. The correlation graphic between fruit weight and airflow speed of sea buckthorn refining degree y = f(X1, X3)
■ 93.5
■ 93
хэлбэлзэл
Fig. 5. The correlation graphic between the fruit weight and airflow speed of the sea buckthorn refining degree у = f(X2, X3)
The optimal value of the input factor will be as follows when the output factor is calculated by step-by-step method then the highest value is 93.25 per cent.
Conclusions.
• The winnowing fluctuation and airflow speed influence on the fruit weight when sea buckthorn is cleaned from waste matters. The mathematic model of the refining degree of the sea buckthorn is as follows.
у = 136.715 - 0.911X1 - 0.1544X2 - 10.287X3 + 1.143X2
• The optimal value of the input factors of sea buckthorn refining or the fruit weight is 3.5kg, blowing fan speed is 10 m/sec, winnowing fluctuation is 80 min-1, refining degree of the sea buckthorn is у = 93.25 %.
• The refining degree of the sea buckthorn is 93.25% and it meets the standard of technical requirement "MNS0916:2011"
• The electricity consumption of the equipment was 3.96 kW •. The electricity payment will be 15500 tugrug when the equipment is run.
REFERENCES
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