Volume 05 Issue 04-2025
57
International Journal of Advance Scientific Research
(ISSN
–
2750-1396)
VOLUME
05
ISSUE
04
Pages:
57-66
OCLC
–
1368736135
A
BSTRACT
This article presents the results of an experimental investigation into the power consumption
characteristics of a saw gin equipped with a huller roller box. The study focuses on the influence of three
primary parameters: the productivity of the saw gin, the vertical distance from the top of the grate to the
horizontal axis of the saw cylinder, and the relative position of the comb. Through a series of controlled
experiments, the optimal operational settings were determined that minimize electric motor power
consumption while ensuring efficient seed separation and reduced fiber loss. The findings highlight specific
configurations that promote energy efficiency, maintain raw roller density within an acceptable range, and
significantly lower seed waste. These outcomes contribute to the design of more energy-efficient and
productive cotton ginning systems.
K
EYWORDS
Journal
Website:
http://sciencebring.co
m/index.php/ijasr
Copyright:
Original
content from this work
may be used under the
terms of the creative
commons
attributes
4.0 licence.
Research Article
Experimental Study of The Power Consumption of The Saw
Gin Electric Motor with A Shelling Chamber
Submission Date:
February 19,
2025,
Accepted Date:
March 17, 2025,
Published Date:
April 18, 2025
Crossref doi:
https://doi.org/10.37547/ijasr-05-04-08
D.M. Mukhammadiev
Institute of Mechanics and Seismic Stability of Structures named after M.T.Urazbaev, Tashkent 100125,
Uzbekistan
Kh.A. Akhmedov
Institute of Mechanics and Seismic Stability of Structures named after M.T.Urazbaev, Tashkent 100125,
Uzbekistan
B.Kh. Primov
Institute of Mechanics and Seismic Stability of Structures named after M.T.Urazbaev, Tashkent 100125,
Uzbekistan
Volume 05 Issue 04-2025
58
International Journal of Advance Scientific Research
(ISSN
–
2750-1396)
VOLUME
05
ISSUE
04
Pages:
57-66
OCLC
–
1368736135
Saw gin, power consumption, huller roller box, energy efficiency, saw cylinder, raw roller density, cotton
ginning, fiber separation, seed loss.
I
NTRODUCTION
Fiber separation machines are manufactured in machine-building plants in Uzbekistan, the USA, and in
India and China under American patents [1-5]. It was stated that domestic saw gins are more efficient,
cheaper to manufacture, and are equipped with simple design units and mechanisms.
Saw blades with a diameter of
320 mm are widely used in the domestic cotton ginning industry.
Therefore, developing a saw gin with a throwing drum on saw blades with a diameter of
320 mm is an
urgent problem in this area.
Figure 1 shows a saw gin with a throwing drum [6]. To reduce wear of bars 3, saw blades (
320 mm), and
the power consumption of saw cylinder 10, raw cotton is fed directly to saw cylinder 10 through chute 6
using rotating throwing drum 7, under which lattice grate 8 is installed.
1- sidewall; 2- frontal beam; 3- working chamber bars;
4- upper apron; 5- lower apron with comb; 6- chute; 7-
throwing drum; 8 – lattice grate of the shelling
chamber; 9- bars of the shelling chamber; 10 - saw
cylinder; 11- trash catcher.
Fig. 1 - Scheme of the working chamber of the saw gin with a
throwing drum.
1 - neck; 2 - shelling chamber; 3 - throwing drum; 4 -
lattice grate of the shelling chamber; 5 – bars of the
shelling chamber; 6 - saw cylinder; 7 - bars of the
working chamber; 8 - working chamber (raw cotton
roller); 9 - sensor panel
Fig. 2 – Working chamber of the saw gin with a shelling
chamber
Volume 05 Issue 04-2025
59
International Journal of Advance Scientific Research
(ISSN
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2750-1396)
VOLUME
05
ISSUE
04
Pages:
57-66
OCLC
–
1368736135
To evaluate the efficiency of the proposed saw gin with a throwing drum and a two-drum peg feeder
(Figures 1 and 2), experimental studies were conducted using a full factorial experiment of type 2
3
. The
following values were adopted as input parameters: gin productivity (X
1
= 430, 645 kg/hour), distance
from the top of bar 9 to the horizontal axis of saw cylinder 10 (X
2
= 58; 78 mm) and comb position (X
3
=
35
; 50
); these parameters affect the energy consumption of the saw gin, the density of the raw cotton
roller, and the loss of seeds to waste through the shelling chamber.
The choice of these parameters is sufficient to evaluate the systems under consideration. The following
were adopted as output parameters:
у
1
–
power consumption of the saw cylinder electric motor, kW;
у
2
–
density of the raw cotton roller, kg/m
3
;
у
3
–
loss of seeds to waste, %.
The experiments were conducted on cotton of the C 6524 variety, grade I, class 2, 8.19% of moisture
content and 3.68% of impurity according to the scheme: Double-drum pin feeder
→
working chamber 30
of the saw gin with a throwing drum.
We study the power consumption of the electric motor of the saw gin with a throwing drum (response
function
y
) depending on the gin productivity, kg/hour (
z
1
), the distance from the top of the grate to the
horizontal axis of the saw cylinder, mm (
z
2
), and the position of the comb, degree (
z3
), using the method
proposed in [7].
Let us compose the design matrix PFE 2
3
(Table 1). FFE 2
3
5
.
537
2
645
430
0
1
=
+
=
z
,
68
2
78
58
0
2
=
+
=
z
,
5
.
42
2
50
35
0
3
=
+
=
z
,
5
.
107
2
430
645
1
=
−
=
z
,
10
2
58
78
2
=
−
=
z
,
5
.
7
2
35
50
3
=
−
=
z
Table 1. Full factorial experiment for three factors with a dummy variable
Experime
nt number
Factors in natural scale
Factors in dimensionless coordinate
system
Output parameter
z
1
z
2
z
3
х
0
x
1
x
2
x
3
y
1
1
430
58
35
+1
-1
-1
-1
3.985
2
645
58
35
+1
+1
-1
-1
4.250
3
430
78
35
+1
-1
+1
-1
3.908
4
645
78
35
+1
+1
+1
-1
4.181
5
430
58
50
+1
-1
-1
+1
4.000
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(ISSN
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VOLUME
05
ISSUE
04
Pages:
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OCLC
–
1368736135
6
645
58
50
+1
+1
-1
+1
4.371
7
430
78
50
+1
-1
+1
+1
3.886
8
645
78
50
+1
+1
+1
+1
4.277
The test showed that the experimental data are normally distributed and homogeneous.
Let us calculate the linear regression coefficients using the following formula:
=
=
+
=
=
8
1
0
4.107
)
4.277
+
3.886
4.371
+
4.0
+
4.181
+
3.908
+
4.25
+
3.985
(
8
1
8
1
i
i
y
b
162
.
0
4.277
1
3.886
1
4.371
1
4.0
1
4.181
1
3.908
1
.25
4
1
3.985
1
(
8
1
1
=
+
−
+
−
+
−
+
−
=
b
044
.
0
4.277
1
3.886
1
4.371
1
4.0
1
4.181
1
3.908
1
.25
4
1
3.985
1
(
8
1
2
=
+
+
−
−
+
+
−
−
=
b
0262
.
0
4.277
1
3.886
1
4.371
1
4.0
1
4.181
1
-
3.908
1
-
.25
4
1
3.985
1
(
8
1
3
=
+
+
+
+
−
−
=
b
We calculate the coefficients of pairwise interaction. For this, we will create an additional table (Table 2).
=
=
=
=
8
1
2
1
12
.00356
0
)
4.277
+
3.886
-
4.371
-
4.0
+
4.181
+
3.908
-
4.25
-
3.985
(
8
1
8
1
i
i
y
x
x
b
=
=
=
=
8
1
3
1
13
02815
.
0
)
4.277
+
3.886
-
4.371
+
4.0
-
4.181
-
3.908
+
4.25
-
3.985
(
8
1
8
1
i
i
y
x
x
b
=
=
=
8
1
3
2
23
-0.00775
=
4.277)
+
3.886
+
4.371
-
4.0
-
4.181
-
3.908
-
4.25
+
3.985
(
8
1
8
1
i
i
y
x
x
b
=
=
=
8
1
3
2
1
123
0.00147
=
4.277)
+
3.886
-
4.371
-
4.0
+
4.181
-
3.908
+
4.25
+
3.985
(
8
1
8
1
i
i
y
x
x
x
b
Table 2. Extended design matrix for a full factorial experiment FFE 2
3
Experiment
number
х
0
x
1
x
2
x
3
x
1
x
2
x
1
x
3
x
2
x
3
x
1
x
2
x
3
y
1
1
+1
-1
-1
-1
+1
+1
+1
-1
3.985
2
+1
+1
-1
-1
-1
-1
+1
+1
4.250
3
+1
-1
+1
-1
-1
+1
-1
+1
3.908
4
+1
+1
+1
-1
+1
-1
-1
-1
4.181
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(ISSN
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VOLUME
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OCLC
–
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5
+1
-1
-1
+1
+1
-1
-1
+1
4.000
6
+1
+1
-1
+1
-1
+1
-1
-1
4.371
7
+1
-1
+1
+1
-1
-1
+1
-1
3.886
8
+1
+1
+1
+1
+1
+1
+1
+1
4.277
Substituting the coefficients, we obtain the regression equations for the consumed power depending on
the input parameters:
+
+
+
−
+
=
2
1
3
2
1
1
00356
.
0
0262
.
0
044
,
0
162
.
0
107
.
4
x
x
x
x
x
y
3
2
1
3
2
3
1
00147
.
0
00775
.
0
02815
.
0
x
x
x
x
x
x
x
+
−
+
(1)
Analysis of the regression equation
Checking the significance of the coefficients of the regression equation (1), using the Student criterion
and parallel experiments showed the significance of all the coefficients of the equation obtained.
We check the homogeneity of the series of adjusted variances (Table 3):
5157
.
0
218
.
0
0229
.
0
005
.
0
2
;
8
;
05
.
0
1
2
2
max
=
=
=
=
=
G
S
S
G
N
j
j
j
That is, the series is homogeneous. Then
16
)
1
3
(
8
;
0028
.
0
8
0229
.
0
1
1
2
2
=
−
=
=
=
=
=
в
N
j
j
в
k
S
N
S
.
To determine the adequacy of model (1), it is necessary to determine the variance of adequacy
4
4
8
;
0002
.
0
8
0009
.
0
1
1
2
2
=
−
=
=
=
=
=
ад
N
j
j
ад
k
S
N
S
.
The values of the Fisher criterion show that the model is adequate:
01
.
3
078
.
0
0028
.
0
0002
.
0
16
;
4
;
05
.
0
2
2
=
=
=
=
F
S
S
F
в
ад
Volume 05 Issue 04-2025
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(ISSN
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VOLUME
05
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Pages:
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OCLC
–
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Table 3 - Results of processing experimental data
Experim
ent
number
f
N
Empirical variance
у
у
ˆ
у
у
ˆ
−
2
)
ˆ
(
у
у
−
S
n
2
S
n
1
3
0.001
0.0316
3.985
3.9851
0.00048
2.34
10
-7
2
3
0.005
0.0707
4.250
4.2489
0.00114
1.31
10
-6
3
2
0.0009
0.03
3.908
3.9089
-0.00057
3.25
10
-7
4
3
0.002
0.0447
4.181
4.1811
0.00006
3.36
10
-9
5
2
0.002
0.0447
4.000
3.9999
0.00023
5.29
10
-8
6
3
0.004
0.0632
4.371
4.3701
0.00120
1.45
10
-6
7
3
0.003
0.0547
3.886
3.8861
-0.00013
1.56
10
-8
8
2
0.005
0.0707
4.277
4.2759
0.00139
1.93
10
-6
Sum
21
0.0229
0.4105
32.860
32.856
0.00382
5.32
10
-6
Fig. 3. Changes in the consumed power of the electric motor depending on the distance from the top of the grate to the horizontal axis of the
saw cylinder (X
2
) at different positions of the comb (X
3
) for the gin productivity (X
1
=537.5 kg/hour).
To determine the significance of the coefficients, we determine the standard deviation S
bi
:
4.06
4.08
4.1
4.12
4.14
4.16
4.18
60
62
64
66
68
70
72
74
76
78
C
ons
um
e
d
powe
r,
kW
Х
2
, mm
Х3=35
°
Х3=41
°
Х3=47
°
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–
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011
.
0
8
3
0028
.
0
2
=
=
=
nN
S
S
в
bi
,
i
=0, 1, 2, 3.
Then
12
.
2
1
.
376
16
;
025
.
0
0
0
0
=
=
=
t
S
b
t
b
12
.
2
89
.
14
16
;
025
.
0
1
1
1
=
=
=
t
S
b
t
b
12
.
2
05
.
4
16
;
025
.
0
2
2
2
=
=
=
t
S
b
t
b
12
.
2
4
.
2
16
;
025
.
0
3
3
3
=
=
=
t
S
b
t
b
12
.
2
58
.
2
16
;
025
.
0
13
13
13
=
=
=
t
S
b
t
b
The critical value of
k
t
;
2
/
is
12
.
2
16
;
025
.
0
=
t
, i.e., except for t
12
, t
23
, t
123
, all coefficients of the model are
significant. Accounting for the dispersion, adequacy, and Student's criterion, the regression equation of the
consumed power depending on factors
x
1 ,
x
2 ,
x
3
has the following form:
3
1
3
2
1
1
028
.
0
026
.
0
044
,
0
162
.
0
107
.
4
x
x
x
x
x
y
+
+
−
+
=
(2)
In the same sequence, we construct the regression equations of factors x
1
, x
2
, x
3
depending on the density
of the raw cotton roller during ginning.
Table 4 - Full factorial experiment for three factors with a dummy variable
Experime
nt number
Factors in natural scale
Factors in dimensionless coordinate
system
Output parameter
z
1
z
2
z
3
х
0
x
1
x
2
x
3
y
1
430
58
35
+1
-1
-1
-1
264.8
2
645
58
35
+1
+1
-1
-1
304.7
3
430
78
35
+1
-1
+1
-1
265.0
4
645
78
35
+1
+1
+1
-1
284.9
5
430
58
50
+1
-1
-1
+1
295.8
6
645
58
50
+1
+1
-1
+1
318.3
7
1.1
78
50
+1
-1
+1
+1
268.1
8
2.5
78
50
+1
+1
+1
+1
307.0
The regression equation of the density of the raw cotton roller during ginning is:
y
2
=
288.575
+
15.15
x
1
-
7.325
x
2
+
8.725
x
3
(3)
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Fig. 4. Changes in the density of the raw cotton roller (y
2
) depending on the distance from the top of the grate to the horizontal axis of the
saw cylinder (X
2
) at different positions of the comb (X
3
) for the gin productivity (X
1
=537.5 kg/hour).
We determine the significance of the coefficients of the regression equations (3):
12
.
2
433
.
111
16
;
025
.
0
0
0
0
=
=
=
t
S
b
t
b
12
.
2
85
.
5
16
;
025
.
0
1
1
1
=
=
=
t
S
b
t
b
12
.
2
829
.
2
16
;
025
.
0
2
2
2
=
=
=
t
S
b
t
b
12
.
2
369
.
3
16
;
025
.
0
3
3
3
=
=
=
t
S
b
t
b
The statistical significance of the regression coefficients b
0
, b
1
, b
2
, b
3
is confirmed with a reliability of 95%.
As in the previous sequences, we construct the regression equations of factors
x
1
, x
2
, x
3
depending on the
seed loss during ginning.
Table 5 – Full factorial experiment for three factors with a dummy variable
Experime
nt number
Factors in natural scale
Factors in dimensionless coordinate
system
Output parameter
z
1
z
2
z
3
х
0
x
1
x
2
x
3
y
1
430
58
35
+1
-1
-1
-1
0.220
2
645
58
35
+1
+1
-1
-1
0.079
3
430
78
35
+1
-1
+1
-1
0.887
4
645
78
35
+1
+1
+1
-1
0.410
5
430
58
50
+1
-1
-1
+1
0.156
6
645
58
50
+1
+1
-1
+1
0.061
7
1.1
78
50
+1
-1
+1
+1
0.556
8
2.5
78
50
+1
+1
+1
+1
0.120
The regression equation for seed loss during ginning has the following form:
y
3
=
0.311
-
0.1436
x
1
+
0.18213
x
2
-
0.0879
x
3
-
0.0846
x
1
x
2
+
0.01088
x
1
x
3
-
0.0674
x
2
x
3
(4)
We determine the significance of the coefficients of the regression equations (4):
272
276
280
284
288
292
296
300
60
62
64
66
68
70
72
74
76
78
D
e
ns
it
y
of
t
he
raw
cot
ton
rol
le
r ,
(у
2
),
к
g/
m
3
Х
2
, mm
Х3=35
°
Х3=41
°
Х3=47
°
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–
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12
.
2
43
.
77
16
;
025
.
0
0
0
0
=
=
=
t
S
b
t
b
12
.
2
74
.
35
16
;
025
.
0
1
1
1
=
=
=
t
S
b
t
b
12
.
2
32
.
45
16
;
025
.
0
2
2
2
=
=
=
t
S
b
t
b
12
.
2
06
.
21
16
;
025
.
0
3
3
3
=
=
=
t
S
b
t
b
12
.
2
06
.
21
16
;
025
.
0
12
12
12
=
=
=
t
S
b
t
b
12
.
2
71
.
2
16
;
025
.
0
13
13
13
=
=
=
t
S
b
t
b
12
.
2
76
.
16
16
;
025
.
0
23
23
23
=
=
=
t
S
b
t
b
12
.
2
15
.
0
16
;
025
.
0
123
123
123
=
=
=
t
S
b
t
b
Fig. 5. Changes in seed loss (у
3
) depending on the distance from the top of the grate to the horizontal axis of the saw cylinder (Х
2
) at different
positions of the comb (Х
3
) for the gin productivity (Х
1
=537.5 kg/hour).
At critical value of
12
.
2
16
;
025
.
0
=
t
, except for t
123
, all coefficients of the model are significant.
The statistical significance of the regression coefficients b
0
, b
1
, b
2
, b
3
,
b
12
, b
13
, b
23
is confirmed with a
reliability of 95%.
A generalized efficiency indicator of the machine under consideration is the cost of electricity; that is,
ensuring the lowest power consumption under restrictions on the mass of the raw cotton roller.
Let us present a mathematical formalization of the problem of optimizing the power consumption of the
saw cylinder electric motor (Table 6).
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
0.55
60
65
70
75
Se
e
d
los
s
(у
3
),
%
Х
2
, mm
Х3=35
°
Х3=41
°
Х3=47
°
Volume 05 Issue 04-2025
66
International Journal of Advance Scientific Research
(ISSN
–
2750-1396)
VOLUME
05
ISSUE
04
Pages:
57-66
OCLC
–
1368736135
Table 6. Optimization parameters
Input parameters
Output parameters of the system
Gin
efficiency,
kg/hour
Distance from the top of
the grate to the horizontal
axis of the saw cylinder,
mm
Comb
positions,
Power
consumption of the
saw cylinder, kW
Density of the raw
cotton
roller,
kg/m
3
Seed loss, %
Parameter restrictions
х
1
=430; 645
х
2
=58; 78
х
3
=35; 50
y
1
4.1
y
2
300
y
3
0.4
Optimal values
х
1
=537.5
х
2
=68
х
3
=42.5
y
1
=4.107
y
2
=288.575
y
3
=0.311
C
ONCLUSIONS
As a result of using the full factorial design of the experiment, regression equations (2 - 4) were constructed
depending on the input parameters:
x
1
- gin productivity;
x
2
- distance from the top of the grate to the
horizontal axis of the saw cylinder; and
x
3
- comb position.
Optimization of regression equations was conducted by the generally accepted program "Solution search
for an optimized model using Newton's method". As a result of implementing the optimization, we obtained
the productivity of the saw gin for cotton -
x
1
= 537.5 kg/h, the distance from the top of the grate to the
horizontal axis of the saw cylinder -
x
2
= 68 mm, and the position of the comb -
x
3
= 42.5
deg, at which the
power consumption of the saw cylinder is y
1
= 4.107 kW, the density of the raw cotton roller is y
2
= 288.575
kg/m
3
, and the seed loss is y
3
= 0.311%.
R
EFERENCES
1.
Mechanical plant «
RUSART
2.
http://www.continentaleagle.com-
3.
4.
Nipha exports private limited.
http://www.niphaindia.com/sawgin-feeder.php
5.
Shandong Joint Stock Limited Liability Company «LEBED».
6.
Mukhammadiev D.M.
“Working chamber
of a saw gin”. Patent of the Republic of Uzbekistan
(from
10.31.2013).
7.
Mitkov A.L., Kardashevsky S.V. Statistical methods in agricultural machinery.
–
M.: Mechanical
engineering. 1978.
–
p. 221-223.
