Authors

  • 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

DOI:

https://doi.org/10.71337/inlibrary.uz.ijasr.134355

Keywords:

Saw gin power consumption huller roller box

Abstract

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.


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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


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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


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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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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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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


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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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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 ,

2

),

к

g/

m

3

Х

2

, mm

Х3=35

°

Х3=41

°

Х3=47

°


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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

3

),

%

Х

2

, mm

Х3=35

°

Х3=41

°

Х3=47

°


background image

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

».

http://www.rusart.uz

2.

Continental Eagle Corporation

.

http://www.continentaleagle.com-

3.

Lummus Corporation.

http://www.Lummus.com

4.

Nipha exports private limited.

http://www.niphaindia.com/sawgin-feeder.php

5.

Shandong Joint Stock Limited Liability Company «LEBED».

http://www.sdmj.com.cn

.

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.

References

Mechanical plant «RUSART». http://www.rusart.uz

Continental Eagle Corporation. http://www.continentaleagle.com-

Lummus Corporation. http://www.Lummus.com

Nipha exports private limited. http://www.niphaindia.com/sawgin-feeder.php

Shandong Joint Stock Limited Liability Company «LEBED». http://www.sdmj.com.cn.

Mukhammadiev D.M. “Working chamber of a saw gin”. Patent of the Republic of Uzbekistan (from 10.31.2013).

Mitkov A.L., Kardashevsky S.V. Statistical methods in agricultural machinery. – M.: Mechanical engineering. 1978. – p. 221-223.