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CONTROL THE QUALITY OF PRODUCTS MANUFACTURED AT THE
ENTERPRISE BY ASSESSING THE UNCERTAINTY OF MEASUREMENTS
Umidjon Karimov
Assistant Andijan State Technical Institute
Abstract :
Measurement of the results uncertainty in evaluation A and B kind of components
clear separation and correct calculation necessary. A type statistic basically experimental
stability shows , B type working issuer specification and calibration to the documents based
without Their combination through general expanded uncertainty is determined , this and
measurement result reliability level determines . Quality under control this approach decision
acceptance in doing important material evidence as service does .
Key words :
measurement , object , parameter , standard , industry , product ,
technological .
The first stage of metrologically based product quality assessment is the identification of the
research object and the selection of its main quality indicators. This section describes the target
object of the study, the technological process of the product, the important parameters of
measurement, as well as the tools and standards selected to ensure the accuracy of measurements.
, synthetic fiber yarn produced at a light industry enterprise was selected
as the object of
research . This product, due to its physical and mechanical properties, technological subtleties,
and export orientation, places high demands on measurement reliability.
Also, the main technological stages in the production of this type of product are as follows
(Table 1).
Table 1
Technological process of synthetic fiber yarn production
No. Process step
Basic moves/equipment
Purpose
1
Raw
material
preparation
Receiving and drying of
polymer granules
Moisture loss, obtaining a quality
solution
2
Melting (Extrusion
Start)
Melting in an extruder
Liquidizing polymer granules
3
Filtration
and
homogenization
Metal filters, mixers
Solution one kind and without
impurities to the point to bring
4
Spinneret extrusion
Extrusion through spinneret
plates
Formation of fine filaments
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5
Cooling
Air refrigerators or juicy
bathtubs
Filament hardening
6
Orientation
Stretching
rollers,
heat
treatment
Orienting molecules, increasing
strength
7
Surface treatment
Emulsion sprayers , oil
burners stations
Friction reduce , next again to
work preparation
8
Assembly (Winding)
Coil winding machines
Ready
the
threads
easy
transportation
and
use
for
formation
9
Heat treatment (if
necessary)
Texturizing machines (False-
twist, Air-jet)
To give elasticity, appearance, or
twisting properties
10
Quality control
Microscope,
tensiometer,
analyzers
Interruption strength , fibers
number , one diversity , diameter ,
elasticity check
11
Packaging
and
storage
Automatic
packaging
machines, special warehouse
Dust
and
from
moisture
protection , transportation ready to
the situation to bring
This stages every in one product to the quality directly or indirectly effect
provider of
parameters accuracy and them measurement
of tools uncertainty research in the center
stands .
Product quality descriptive main measurement parameters
Research within test and measurement
works following main parameters according to
take ( Table 3.2 ).
Table 2
No. Parameter
name
Unit
of
measurement
Description
1
Linear density
tex
How many grams of substance are in 9000
meters of fiber?
2
Length
meter
Total length of the wrapped yarn
3
Diameter
mmm
Thickness of the fiber by cross section
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4
Breakdown
force
N
Fiber in the stretch interruption in the phase
power
5
Humidity ratio
%
Dried on the thread residue humidity amount
6
Roll mass
kg
Total weight of each yarn roll
Each of these parameters is a key indicator in determining a product's compliance with
international export standards (e.g. ISO 2060, ISO 13934, ASTM D1907).
Table 3
Measurement tools used in the study
No. Measuring tool Model / Type
Measurement
range
Accuracy
level
Calibration
status
1
Electronic scales Radwag AS220.R2
0–220 g
±0.1 mg
Calibrated,
2024
2
Micrometer
Mitutoyo IP65
0–25 mm
±0.001 mm Calibrated,
2024
3
Length ruler
Computerized
wrapping system
0–1000 m
±0.01 m
Calibrated,
2024
4
Strength testing
machine
Instron 3345
0–5 kN
±0.5% FS
Calibrated,
2024
5
Moisture
Analyzer
Ohaus MB45
0–100% RH
±0.1%
Calibrated,
2024
These instruments are calibrated by local metrology centers (e.g., UzMMI) and each of them has
a calibration certificate.
Table 4
Sources of measurement uncertainty in synthetic fiber yarn production
No. Process step
Measurement object
Sources of uncertainty
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1
Raw
material
preparation
Polymer
granules
mass,
moisture
- Scales Accuracy
- Humidity ruler Calibration
- Operator mistakes
2
Melting
Temperature (°C), pressure
(bar), flow rate
- Thermosensor (thermocouple)
accuracy
- Extruder pressure sensor errors
3
Filtration
and
homogenization
Viscosity, temperature
- Viscometer Uncertainty
-
Temperature
uneven
distribution
4
Spinneret extrusion
Hole diameter , flow one
diversity
- Spinneret hole performance
- Temperature and pressure
fluctuations
5
Cooling
Cooling temperature, air/water
flow rate
- Accuracy in sensor calculations
- Instability in flow rate
measurement
6
Stretching
Stretching
coefficient
( relative length ), speed
- Roller rotation speed
- O ' measurement in place
slip
7
Surface treatment
Sprayed
liquid
volume,
viscosity
- Dosing machine in the system
malfunctions
- In equilibrium temperature and
pressure
8
Assembly
Yarn length, density ( tex,
den)
- Thread continuity
- Measuring wheel diameter
accuracy
9
Heat treatment
Temperature, time, number of
turns
- Temperature sensor uncertainty
- Time determinant timers
calibration
10
Quality control
Tensile
strength,
fiber
diameter, elasticity
- Strain gauge calibration
-
Microscope
accuracy
-
Subjective assessment differences
11
Packaging
and
storage
Packing weight, humidity,
temperature
- Weight sensor errors
- Microclimate variability in the
warehouse
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Note:
-Measurement accuracy at each stage is increased through
calibration, conformity assessment,
and regular maintenance .
-In particular,
temperature, pressure and time measurements
are important factors for
maintaining technological quality.
Table 5
Measuring tools in synthetic fiber yarn production
No. Process step
Measurement object
Applied
measuring
instruments
1
Raw
material
preparation
Granule mass, moisture
- Electronic scales
- Infrared moisture analyzer (IR
Moisture Analyzer)
2
Melting
Temperature, pressure, flow
- Thermocouple or
RTD
sensor
-
Pressure
sensors
( manometers )
- Flow flow meter
meter )
3
Filtration
and
homogenization
Temperature, viscosity
- Temperature sensor
-
Digital
viscometer
( Brookfieldtype)
4
Spinneret extrusion
Filament
output
speed,
spinneret holes
- Micrometers
- Laser diameter gauges - Flow
control regulators
5
Cooling
Air / water temperature ,
current speed
- Water temperature sensors
- Anemometers ( air flow for )
- Water stream meters
6
Stretching
Elongation coefficient, speed
- Circulation roller speed sensor
- Tachometers
- LVDT ( Linear change
sensors )
7
Surface treatment
Emulsion amount, viscosity
- Drop Dispensers
- Digital Viscometers
- Sensor sprayer systems
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8
Assembly
Thread
length,
mass,
smoothness
- Meterage Measuring tapes -
Thread
weight sensors
- Workshop integrated sensitive
wheels
9
Heat treatment
Temperature, time, number of
turns
- Programmable temperature
controller (PTC)
- Timer - Torque sensors
10
Quality control
Breaking strength, diameter,
elasticity
- Universal Testing Machine
(UTM)
-
Microscope
or
laser
micrometer - Elasticity testers
11
Packaging and storage Package
weight,
storage
temperature and humidity
- Platform scales
- Thermo-hygrometers - Data
loggers
Additional recommendations:
-There must be calibration documents (certificates) for each measuring instrument and they must
meet the applicable ISO 10012 or ISO/IEC 17025 requirements.
-In particular, instruments measuring mass, temperature, and length should be regularly
inspected as the main objects of metrological control.
The main quality indicators of the synthetic yarn product selected as the object of research -
mass, linear density, length, diameter, breaking strength and moisture - characterize the
technological quality of the product and its compliance with international requirements. The
accuracy of these parameters, the uncertainty of the measurement results, the traceability chain
and the condition of the measuring instruments ensure the metrological validity of the research.
In the future, it is advisable to determine the uncertainties, calculate the total expanded
uncertainty and develop a quality control mechanism based on these parameters.
References
1. On the Development Strategy of New Uzbekistan for 2022–2026. T.: January 28, 2022,
Decree No. PF-60.
2. On measures to organize the activities of the Agency for Technical Regulation of
Uzbekistan under the Ministry of Investments and Foreign Trade of the Republic of
Uzbekistan. T.: Resolution No. PQ-5133 of June 2, 2021.
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3. On measures for the further development of technical regulation, standardization,
certification and metrology systems. T.: Resolution No. PQ-4059 of December 12, 2018.
4. ISO/IEC Guide 98-3:2008. Uncertainty of measurement – Guide to the expression of
uncertainty in measurement (GUM) . – Geneva: ISO, 2008.
5. ISO 10012:2003. Measurement management systems – Requirements for measurement
processes and measuring equipment . – Geneva: ISO, 2003.
6. ISO/IEC 17025:2017. General requirements for the competence of testing and calibration
laboratories . – Geneva: ISO, 2017.
7. Law of the Republic of Uzbekistan “On Ensuring the Uniformity of Measurements”. –
Tashkent, 2021 (new edition).
8. Uz DSt 8.009:2009. General rules for assessing the uncertainty of measurement results . – T.:
Uzstandard agency, 2009.
9. Uz DSt ISO 10012:2009. Requirements for measurement processes and measuring
instruments . – T.: Uzstandard Agency, 2009.
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