Improving The Calibration Quality Of A Vibrating Sieve-Type Potato Sorting Machine By Optimizing Its Technological Parameters

Abstract

A promising and efficient vibrating sieve-type potato sorting machine, which is a structural component of a mechanized complex for post-harvest processing and storage of potatoes, has been studied. The relevance of developing effective methods for designing and calculating sorting equipment that classifies potato tubers into fractions by size is emphasized. As a result of theoretical research aimed at designing an optimal configuration of a vibrating sieve sorting machine, a highly efficient device was developed. According to the experimental results, the highest calibration accuracy reaches 94%. This level of performance is achieved under the following operating conditions: product feed rate – 18 tons/hour, sieve vibration amplitude – A = 30 mm, vibration motor speed – 300 rpm, inclination angle of the calibrating surface – β = 7°, crank inclination angle – ɛ = -6°, and spring stiffness of the vibration mechanism – k = 13 N/mm.

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Bakhadirov Gayrat Atakhanovich, & Tursunaliev Ismoil Esonalievich. (2025). Improving The Calibration Quality Of A Vibrating Sieve-Type Potato Sorting Machine By Optimizing Its Technological Parameters. American Journal Of Applied Science And Technology, 5(06), 128–136. https://doi.org/10.37547/ajast/Volume05Issue06-28
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Abstract

A promising and efficient vibrating sieve-type potato sorting machine, which is a structural component of a mechanized complex for post-harvest processing and storage of potatoes, has been studied. The relevance of developing effective methods for designing and calculating sorting equipment that classifies potato tubers into fractions by size is emphasized. As a result of theoretical research aimed at designing an optimal configuration of a vibrating sieve sorting machine, a highly efficient device was developed. According to the experimental results, the highest calibration accuracy reaches 94%. This level of performance is achieved under the following operating conditions: product feed rate – 18 tons/hour, sieve vibration amplitude – A = 30 mm, vibration motor speed – 300 rpm, inclination angle of the calibrating surface – β = 7°, crank inclination angle – ɛ = -6°, and spring stiffness of the vibration mechanism – k = 13 N/mm.


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American Journal of Applied Science and Technology

128

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VOLUME

Vol.05 Issue 06 2025

PAGE NO.

128-136

DOI

10.37547/ajast/Volume05Issue06-28



Improving The Calibration Quality Of A Vibrating
Sieve-Type Potato Sorting Machine By Optimizing Its
Technological Parameters

Bakhadirov Gayrat Atakhanovich

Doctor of Technical Sciences, Professor, Institute of Mechanics and Seismic Stability of Structures named after M.T.Urazbaev of the
Academy of Sciences of the Republic of Uzbekistan

Tursunaliev Ismoil Esonalievich

Researcher, Fergana State Technical University, Fergana, Uzbekistan

Received:

27 April 2025;

Accepted:

23 May 2025;

Published:

30 June 2025

Abstract:

A promising and efficient vibrating sieve-type potato sorting machine, which is a structural component of

a mechanized complex for post-harvest processing and storage of potatoes, has been studied. The relevance of
developing effective methods for designing and calculating sorting equipment that classifies potato tubers into
fractions by size is emphasized. As a result of theoretical research aimed at designing an optimal configuration of a
vibrating sieve sorting machine, a highly efficient device was developed. According to the experimental results, the
highest calibration accuracy reaches 94%. This level of performance is achieved under the following operating
conditions: product feed rate

18 tons/hour, sieve vibration amplitude

A = 30 mm, vibration motor speed

300

rpm, inclination angle of the calibrating surface

β = 7°, crank inclination angle –

ɛ =

-6°, and spring stiffness of the

vibration mechanism

k = 13 N/mm.

Keywords:

Potato sorting, tuber fractions, potato sorting machine, sieve-type sorting device, vibrational sorting,

efficiency, quality.

Introduction:

In the scientific literature, potato calibration is
described as the process of passing tubers through
square holes of a specified size and sorting them by
their maximum diameter [1,2]. Accordingly, at
present, enterprises and agricultural clusters in
Central Asia

particularly in Uzbekistan and

Kazakhstan

specialized in potato and onion

production and processing, widely utilize calibration
machines equipped with square-hole mechanisms
manufactured by foreign companies such as Grimme,
Schouten, and Tolsma. Among them, Tolsma
machines are most commonly used due to their
compact size and simple structure.

Although these machines are considered relatively
reliable, they also have certain drawbacks. One of the
common disadvantages of such calibrating machines
is the jamming of tubers within the sieve holes during
operation. Specifically for Tolsma machines, rapid

wear of the drive shaft clutch and frequent breakage
of transmission belts have been reported.

To identify the causes of such shortcomings in these
types of sorting machines, detailed analyses were
conducted focusing on the kinematic and dynamic
forces

acting

on

the

machine's

operating

components. Recommendations for improvement
were developed accordingly [3].

Theoretical studies have emphasized that when
modernizing existing machines, it is essential to
consider dynamic vibrations, which may cause potato
tubers to become wedged into sieve openings and
suffer mechanical damage. Hence, while improving
the working mechanism of a vibrating sorting
machine, it is necessary to take into account the
forces acting on the tubers and apply vibration
damping measures. One of the simplest and most
effective damping methods is the use of springs [4].


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The working surface of the sorting machine is
installed at an inclined angle relative to the horizontal
plane. It consists of three sequentially mounted
frames, each fitted with metal rods (sieves) covered
with elastic material. The spacing between the rods
differs from frame to frame: the first frame has the
smallest spacing, the second is wider, and the third
has the widest spacing. Each subsequent frame is
positioned slightly lower than the previous one.

The front end of the frame assembly is mounted on
the machine bed using vertical springs, while the rear
end rests on rollers. The base supports of the machine
are made of vibration-absorbing material and fixed to
the foundation with rubber-like components. An
electric motor with an eccentric mass is attached to
the vibrating base supports to induce oscillatory

motion.

During operation, the pile of root crops is delivered to
the inclined sieving surface using a conveyor and
guide chute. When the motor is activated, the
eccentric mass causes horizontal vibrations of the
support structure and both horizontal and vertical
oscillations in the springs. As a result of this vibratory
motion and the inclined plane, the tubers move along
the working surface. During their movement, the
tubers fall through the gaps between the rods
corresponding to their size and are thus sorted. The
calibrated tubers are then transported to their
respective collection points via conveyors.

Figures 1 and 2 illustrate the side view and top
schematic view of the proposed vibrating sieve-type
sorting machine.

Figure 1. Side view of the vibrating sorting machine.

Figure 2. Top schematic view of the working surface of the vibrating sorting machine


The vibrating sorting machine consists of a working surface (3), formed by three frames (2

1

, 2

2

, 2

3

), each equipped

with sieving rods (1

1

, 1

2

, 1

3

) positioned at varying distances from one another. To generate vertical vibration, springs

(5) are installed between the working surface and the machine frame (4). The driving unit includes an electric motor
(6), with an eccentric mass (7) mounted on its shaft to induce horizontal vibration.

The system includes a feeding conveyor that delivers the heap of potatoes to the inclined sieving surface, and chutes
(8 and 9) guide both the incoming tubers and the sorted fractions toward the corresponding conveyors. Rollers (10),
kinematically attached to the working surface and capable of moving along the machine base, ensure horizontal
displacement of the sieving platform.

The machine frame is supported by elastic steel rod supports (11), which vibrate during operation. To dampen the
transfer of vibration to the ground, rubber-like damping elements (12) are placed underneath the supports. The


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system also includes multiple conveyors (13

1

, 13

2

, 13

3

, 13

4

) that transport sorted fractions to designated locations.


The working surface (3) is inclined downward from its beginning to the end relative to the horizontal axis (Figure
1). It is composed of three sections, each formed by a frame with sieving rods arranged longitudinally at different
spacings: the first frame has the smallest spacing, the second is wider, and the third is the widest (a < b < c), as
shown in Figure 2.

For experimental testing, design documentation and a prototype of the sorting machine were developed. The
prototype was constructed as a mobile unit, allowing it to be used independently or integrated into a larger post-
harvest processing line for potatoes. In addition to the main components shown in Figure 3, the setup includes
conveyors for feeding and discharging sorted fractions, as well as a screw mechanism for adjusting the inclination
angle of the sieving surface.

1

sorting surface; 2

electric motor; 3

spring; 4

wheel.

Figure 3. Experimental prototype view of the main components of the sorting machine:


The machine frame is equipped with a screw adjustment mechanism mounted on its supports, which allows for
real-time modification of the inclination angle of the sorting surface during operation.

Figure 4. View of the machine’s working surface.

Materials and Methods

Due to the low power requirement for the operation of the machine, a 0.75 kW electric motor was installed. The
process can be controlled by adjusting the working surface parameters of the vibrating sieve-type sorting device.
In the proposed vibrating sorting machine, experimental studies were conducted under laboratory conditions to
evaluate the influence of changes in technological parameters

such as vibration amplitude, rotational speed,

inclination angle, etc.

on the quality of the sorting process.


During the laboratory experiments with the potato sorting machine, the effects of the following parameters on the


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calibration of potato tubers were investigated:

Vibration amplitude of the working unit (A): 26 mm; 30 mm; 34 mm; 38 mm

Angular speed of the electric motor (ω): 150 rpm; 300 rpm; 450 rpm; 600 rpm

Inclination angle of the working surface (β): 4

°; 6°; 8°; 10°

Spring stiffness (k): 4 N/mm; 8.5 N/mm; 13 N/mm; 17.5 N/mm

Crankshaft inclination angle (ɛ):

-9°; -6°; -3°; 0°; +3°

Feed rate of potato tuber mass (Q): 14.4 t/h; 16.1 t/h; 18.0 t/h; 19.8 t/h

To ensure continuity in the technological calibration process, the rotation frequency of the loading

conveyor's drive shaft was selected such that the tuber mass was delivered to the calibration surface
proportionally

i.e., the feed timing and the linear velocity of the conveyor belt were synchronized, preventing

overloading or uneven feeding.

To study the effect of tuber feed rate in the experimental prototype, the mass of potato tubers corresponding to
each selected feed rate was calculated based on the above parameters (see Table 1). This mass was evenly
distributed along a specific section of the conveyor belt. For further analysis, the concept of hourly throughput was
used, as it is equivalent to specific feed rate when related to the geometric dimensions of the machine's calibration
surface.

The performance of the machine during the experiment was evaluated based on sorting accuracy. For this purpose,
identical volume samples were taken from the sieve outlet and from each discharge stage. These samples were
weighed and then the tubers were separated into their respective fractions. Tubers that did not meet the target
fraction criteria but were found within a particular group were separated and reweighed to assess misclassification.

Table 1. Experimental loading masses of potato tubers corresponding to different feed rates

Kartoshka tuganaklari uyumini uzatish

Soatiga, t/s

Soniyasiga, kg/sek

14,4

4

16,1

4.5

18

5

19,8

5,5

Data Processing and Evaluation

The obtained experimental data were tabulated, and the following evaluation criteria were applied:

Sorting accuracy for each individual fraction was determined using the formula:

1

·100%

i

M

µ

M

= 

(1)

Where:

i

M

mass of tubers that meet the requirements of the target fraction;

M

total mass of all tubers that fell into the fraction.

Overall sorting accuracy of the machine was calculated as:

0

(

/

)1

%

·

00

n

i

M M

 =

(2)

Where:

n

number of fractions;

M

total mass of all sorted tubers.

The data obtained from the laboratory experiments

were processed using statistical variation methods


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[5], and to enhance visual comprehension, the results
were also expressed through graphical relationships.

RESULTS

Based on the literature review [6, 7, 8, 9, 10], the main
operating modes and parameters of existing potato
sorting machines with sieve-type calibrating
surfaces

featuring square, round, or hexagonal

holes

have been established. In such machines, the

inclination angle of the calibrating surface (β) and the
crankshaft deviation angle (ɛ) typically range between

6° and 10°. The vibration amplitude (A) of the sieve
generally varies between 10 mm and 40 mm, while

the vibration frequency (ω)

of the sieves lies within

the range of 23 to 37 s⁻¹.

Effect of Vibration Amplitude and Frequency on
Sorting Accuracy

Previous research [8] has shown that the two most
influential parameters in the calibration process of
potato tubers are the angular speed of the sieve and

the vibration amplitude. Therefore, the initial phase
of the present investigation focused on determining
the influence of these two parameters on the sorting
efficiency of the vibrating sieve-type potato sorting
machine.

As discussed in the previous section, the actual
vibration frequency of the sieve is not directly
proportional to the frequency of the vibration-
generating mechanism [11]. Hence, the experiments
were carried out based on the rotational speed of the
electric motor.

Experimental results revealed that when the vibration
amplitude of the sieve was A = 26 mm or lower and
the motor rotation speed was 150 rpm, the sorting
process of the potato tuber mixture did not occur
across any tested vibration frequencies. This was
attributed to the insufficient displacement of the
potato mixture along the sieving surface, which
caused the tubers to accumulate on the surface
instead of moving and separating.

Figure 5. Effect of electric motor rotation speed on calibration accuracy:

1

A = 26 mm; 2

A = 30 mm; 3

A = 34 mm.

Influence of Vibration Amplitude and Frequency on
Sorting Accuracy

At a constant vibration amplitude of A = 26 mm
(Figure 5, curve 1), the calibration of the potato tuber
mass begins at a vibration frequency of

ω = 150 rpm,

where the sorting accuracy (μ) is 87%. As the

frequency increases to 300 rpm, the accuracy reaches
a peak of 92%, which is considered the optimal value
for this amplitude. However, further increases in
frequency result in reduced accuracy: at

ω = 450 rpm,

the accuracy decreases to 90%, and at ω = 600 rpm, it

drops further to 86%. This decline is attributed to the
increasing movement speed of the tuber mixture
across the sieving surface at higher vibration

frequencies, which reduces the time available for
effective separation.

When the vibration amplitude is increased to A = 30
mm (curve 2), the sorting process begins even at the

lower frequency of ω = 150 rpm, yielding an accuracy

of 85%. As the frequency increases, the accuracy
improves significantly, reaching a maximum of 94% at

ω = 300 rpm. However, similar to the previous case,

any further increase in vibration frequency results in

a drop in sorting accuracy, falling to 84% at ω = 450

rpm.

Curve 3 in Figure 5 represents the case when the sieve
vibration amplitude is A = 34 mm. The sorting process

starts at ω = 150 rpm and achieves a maximum

75

80

85

90

95

100

150

300

450

600

Sort

in

g a

ccura

cy

,

µ

%

Number of revolutions,

ω,

rpm

The effect of vibration amplitude and frequency on sorting accuracy

1

2

3


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accuracy of 90% at ω = 300 rpm. Beyond this

frequency, the accuracy declines sharply, with only

76% accuracy observed at ω = 600 rpm, which does

not meet agro-technical requirements for sorting.

These results demonstrate a clear pattern: as the
angular vibration frequency increases, the sorting
accuracy initially improves up to a certain optimal
point, after which it begins to decline. This behavior is
explained by the increased horizontal movement
speed of the potato tubers along the sieving surface
at higher frequencies, which limits the effectiveness
of fraction separation.

As shown in the plotted dependencies, the highest
sorting accuracy of 94% was achieved when the

vibration frequency was ω = 300 rpm and the

vibration amplitude was A = 30 mm.

Effect of the Inclination Angle of the Sieving Surface
on Calibration Accuracy

Previous studies on vibrating sieves [6, 8, 12, 13] have
demonstrated that an inclination angle of the sieving

surface within the range of β = 10° to 30° produces

effective results. However, these investigations were
primarily conducted on general-purpose vibratory
sorting devices used for screening raw construction
materials, such as rock and ore.

In contrast, studies specifically related to agricultural
products

particularly those targeting potato tuber

calibration

have shown that the optimal sorting

accuracy is achieved at inclination angles of β = 6° to

8° [14]. Based on this, our laboratory experiments

were carried out within a narrower range of β = 4° to
10°, with additional focus on β = 7° in certain modes.

Studying the effect of the sieve surface inclination
angle on calibration accuracy allows for identifying
the most optimal installation angle for the sieves.
Figure 6 presents the results of this analysis for three
selected vibration frequencies:

1

ω = 300 rpm;

2

ω = 450 rpm;

3

ω = 600 rpm.

Initial experimental results revealed that the highest
sorting accuracy was observed at a vibration

amplitude of A = 30 mm and vibration frequency of ω

= 300 rpm. Under these fixed vibration conditions, the
influence of the calibration surface inclination angle

(β) within the range of 4° to 10° was examined (see

Figure 6).

When the angle w

as β = 4° (curve 1), the sorting

accuracy was 86%. As the inclination increased to 6°,
accuracy improved by 6%, reaching 92%. However,

when the angle was further increased to β = 8°, the

accuracy slightly declined to 90%. Since the difference

between β = 6° and β = 8° was marginal, we decided
to conduct an additional experiment at β = 7°, which

resulted in the maximum observed accuracy of 94%.

Figure 6. Effect of the slope angle of the sorting surface on calibration accuracy

At a rotation speed of ω = 4

50 rpm, the dependence

of calibration accuracy on the inclination angle of the
sieving surface (curve 2) exhibits a trend similar to

that of curve 1 (ω = 300 rpm). The highest sorting

accuracy of 92% was achieved at an inclination angle

of β = 7°. However,

when the inclination was

increased to β = 8°, the accuracy dropped to 87%.

At a higher rotation speed of ω = 600 rpm (curve 3),

the calibration accuracy increased gradually with the

inclination angle. For example, at β = 4°, the accuracy
was μ = 84%, and when the angle increased to β = 6°,
the maximum observed accuracy was μ = 86%.

Further increase in the inclination angle led to a

gradual decline in accuracy, reaching only 82% at β =

80

85

90

95

100

4

6

7

8

Sort

in

g a

ccura

cy

, µ

%

Sorting surface slope angle

β

°

The effect of the slope angle of the sorting surface on calibration

accuracy

1

2

3


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8°, which does not satisfy the agro-technical
requirements for potato sorting.

From the data presented above, it can be concluded
that the highest calibration quality is achieved at a

sieve surface inclination angle of β = 7° and a vibration
frequency of ω = 300 rpm, where the sorting accuracy

reaches a maximum value of 94%.

Effect of Crankshaft Inclination Angle on Sorting

Accuracy

As previously noted in this section, most existing
vibrating sieve-type potato sorting machines have a

crankshaft inclination angle (ɛ) ranging from 6° to 10°

relative to the horizontal, which generally

corresponds to the inclination angle β of the sieving

surface.

Figure 7. The effect of the connecting rod inclination angle on the sorting accuracy: where, ω = 300 rpm; A =

30 mm; β = 7°.

To determine the influence of the crankshaft
inclination angle on calibration accuracy, a series of
experiments were conducted at a fixed vibration

frequency of ω = 300 rpm, vibration amplitude of A =
30 mm, and sieving surface inclination angle of β = 7°.

Based on the experimental results, a dependency
graph was plotted (Figure 8).

The curve representing the effect of crankshaft
inclination angle on calibration accuracy exhibits a

parabolic trend. The highest accuracy of μ = 94% was
observed at a crankshaft angle of ɛ = –

6°. For any

other angle, the calibration accuracy declined
progressively.

These findings suggest that the optimal crankshaft
inclination angle for the experimental vibrating

calibration unit is ɛ = –

6°.

Effect of Spring Stiffness on Calibration Accuracy

Kinematic and dynamic analyses of vibrating
machines used for potato tuber sorting indicate that
studying the springs used for vibration damping is
crucial for evaluating their influence on sorting
quality. For this purpose, springs with high, low, and
medium stiffness

relative to the weight of the

sieving surface

were selected for testing.

In the developed sorting machine, the springs serve a
dual purpose: they absorb dynamic vibrations and
prevent tubers from jamming between the sieving
rods upon impact. However, the spring installation
must ensure that their mechanical properties do not
negatively affect the calibration accuracy.

90

91

92

93

94

95

-9

-6

-3

0

3

Sort

in

g a

ccura

cy

, µ

%

Connecting rod inclination angle ɛ

°

The effect of the angle of inclination of the connecting

rod on the accuracy of sorting

91

93

96

92

89

88

89

90

91

92

93

94

95

96

97

4

8.5

13

17.5

23

Sort

in

g a

ccura

cy

, µ

%

spring stiffness k, N/mm

The effect of spring stiffness on sorting accuracy


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Figure 8. Effect of spring stiffness on sorting accuracy

The following initial parameters were set for this
experiment: vibration amplitude A = 30 mm, vibration

frequency ω = 300 rpm, sieving surface inclination
angle β = 7°, and crankshaft inclination angle ɛ = –

6°.

As observed in Figure 8, the calibration accuracy
varies significantly with changes in spring stiffness.
The curve demonstrates that as the spring becomes
softer (lower stiffness), the accuracy decreases.
Springs with high stiffness are unable to absorb
dynamic "shock" loads effectively. At the lowest
tested stiffness of k = 4 N/mm, the sorting accuracy

was minimal. The highest accuracy of μ = 96% was

recorded with a spring stiffness of k = 13 N/mm.
Beyond this point, further reduction in stiffness
resulted in a decline in calibration performance.

These findings indicate that spring stiffness directly

influences the machine’s ability to dampen

vibrations, which in turn affects the sorting quality.
An optimal stiffness value ensures both smooth

vibrational damping and accurate separation of
tubers.

Effect of Tuber Feed Rate on Calibration Accuracy

During the calibration process, it is crucial that the
flow of potato tubers across the sieving surface
remains uniform and in a single, evenly distributed
layer. Therefore, the rate at which the tuber mass is
fed into the machine has a significant impact on the
sorting accuracy.

To achieve the highest sorting performance and
accuracy, it is necessary to determine the maximum
allowable feed rate that does not compromise the

machine’s operational quality. Excessive feed can

lead to tuber overlap, reduce effective contact with
the calibration surface, and consequently decrease
sorting accuracy. Thus, balancing high throughput
with minimal performance loss is essential for optimal
operation.

Figure 9. The effect of the amount of potato pile transfer on sorting accuracy

The experiments were conducted using the following
fixed parameters: vibration amplitude A = 30 mm,
frequency

ω = 300 rpm, sieve inclination angle β = 7°,

spring stiffness k = 13 N/mm, and crankshaft

inclination angle ɛ = –

6°. The feed rate of the potato

mixture was regulated by adjusting the mass on the
loading conveyor.

At the minimum feed rate of 14.4 t/h, the overall
calibration accuracy of the machine was 93% (Figure
9, curve 2). As the feed rate increased to 16.1 t/h, the
accuracy improved slightly to 94%, reaching its
maximum. However, a further increase in feed rate
caused the machine to become overloaded, leading
to tubers accumulating on the sieving surface and a
decrease in calibration accuracy. For instance, at Q =

18.0 t/h, the accuracy dropped to approximately 93%,
and at Q = 19.8 t/h, it declined further to 91%.

Since the potato mixture moves sequentially through
multiple calibration zones, this affects the accuracy of
sorting specific fractions. Medium fractions may
contain both smaller and larger tubers, which reduces
their purity. Therefore, Figure 9 also includes two
additional curves:

Curve 1 represents large fraction calibration

accuracy;

Curve 3 represents medium fraction

accuracy.

The behavior of curves 1 and 3 was similar to that of
curve 2. At a feed rate of 20.0 t/h, calibration accuracy
reached 96% for large fractions and 92% for medium

88

90

92

94

96

Q=14,4

Q=16,1

Q=18

Q=19,8

Sort

in

g a

ccura

cy

, µ

%

Potato waste pile volume Q, t/h

The effect of the amount of potato pile transfer on sorting accuracy

1

2

3


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American Journal of Applied Science and Technology (ISSN: 2771-2745)

fractions

both values satisfying agro-technical

calibration standards.

From these relationships, it can be concluded that
product feed rate has a significant impact on sorting
accuracy, and the optimal feed rate for the proposed
vibrating sieve-type potato sorting machine is 18.0
t/h.

CONCLUSION

Based on the laboratory investigation of the vibrating
sieve-type potato sorting machine, the following
conclusions can be drawn:

The developed vibrating sieve-type sorting

machine demonstrated high performance, as well as
favorable technical and quality indicators.

The maximum calibration accuracy of 94%

was achieved when the sieve surface was inclined in
the

direction

of

product

movement.

This

performance was observed under the following
conditions:

o

Feed rate: 18 t/h

o

Vibration amplitude: A = 30 mm

o

Motor speed: 300 rpm

o

Sieve inclination angle: β

= 7°

o

Crankshaft angle: ɛ = –

o

Spring stiffness: k = 13 N/mm

High-quality sorting can be achieved by

maintaining the potato feed rate within the range of
17

18 t/h.

The sorting accuracy and productivity of the

proposed experimental machine were found to be
superior compared to existing commercial machines
that separate potato tubers into three fractions using
traditional sieve mechanisms.

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6231.

6.

Deng W, Li Z, Zhang H, et al. Simulation analysis
and experimental testing of the grading
performance of small potato grading device. J
Food Process Eng. 2024;47(2):e14549.

7.

Bello R.S. Agricultural Machinery Design
Considerations: A Textbook. Cambridge: Agritech
Publishing; 2022. 11 p. (Modern Agricultural
Engineering Series).

8.

Волосевич

П.Н.

Совершенствование

технологического процесса калибрования
клубней картофеля [dissertation]. Саратов;

1998. 20 p.

9.

Liu C, Zhang Y, Wang M, et al. Recent research
progress on key technologies and equipment for
mechanized potato harvesting. Agriculture.
2025;15(7):675.

10.

Johnson C.M., Auat Cheein F. Machinery for
potato harvesting: a state-of-the-art review.
Front Plant Sci. 2023;14:1156734.

11.

Камалов

Т.И.

Линейный

асинхронный

электропривод

самоуравновешенной

установки

для

сортирования картофеля

[dissertation]. Уфа; 2017. 48 p.

12.

Волков Е.Б., Глухих И.А., Ляпцев С.А.
Теоретический

анализ

технологических

параметров

вибрационных

грохотов.

Современные проблемы науки и образования.
2013;(6, прил. «Технические науки»):12.

13.

Волков Е.Б., Ляпцев С.А. Влияние угла наклона
рабочей поверхности вибрационного грохота
на эффективность грохочения. Современные
проблемы науки и образования. 2013;(4).

14.

Иванов А.Г., Ерохин М.Н., Казанцев С.П.,
Дородов П.В., Хузяхметов И.И., Хакимов И.Т.
Повышение

эффективности

грохотных

картофелесортирующих

машин

путем

совершенствования привода с модификацией
алгоритма

движения

решет.

Сельскохозяйственные машины и технологии.

2023;17(2):13

19.

doi:10.22314/2073-7599-

2023-17-2-13-19.

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Deng W, Li Z, Zhang H, et al. Simulation analysis and experimental testing of the grading performance of small potato grading device. J Food Process Eng. 2024;47(2):e14549.

Bello R.S. Agricultural Machinery Design Considerations: A Textbook. Cambridge: Agritech Publishing; 2022. 11 p. (Modern Agricultural Engineering Series).

Волосевич П.Н. Совершенствование технологического процесса калибрования клубней картофеля [dissertation]. Саратов; 1998. 20 p.

Liu C, Zhang Y, Wang M, et al. Recent research progress on key technologies and equipment for mechanized potato harvesting. Agriculture. 2025;15(7):675.

Johnson C.M., Auat Cheein F. Machinery for potato harvesting: a state-of-the-art review. Front Plant Sci. 2023;14:1156734.

Камалов Т.И. Линейный асинхронный электропривод самоуравновешенной установки для сортирования картофеля [dissertation]. Уфа; 2017. 48 p.

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Волков Е.Б., Ляпцев С.А. Влияние угла наклона рабочей поверхности вибрационного грохота на эффективность грохочения. Современные проблемы науки и образования. 2013;(4).

Иванов А.Г., Ерохин М.Н., Казанцев С.П., Дородов П.В., Хузяхметов И.И., Хакимов И.Т. Повышение эффективности грохотных картофелесортирующих машин путем совершенствования привода с модификацией алгоритма движения решет. Сельскохозяйственные машины и технологии. 2023;17(2):13–19. doi:10.22314/2073-7599-2023-17-2-13-19.