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calendar3 Aprel 2026
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Development of a Mathematical Model for Determining the Micronaire Value and Maturity Coefficient of Fibers Using a Universal Instrument

Field of Science:EngineeringEngineering (miscellaneous)
National field of science (HAC):01.02.02 — Dynamics and strength of machines, instruments and equipment01.02.03 — Mechanics of soils and rocks01.02.04 — Mechanics of deformable solids01.02.05 — Fluid and gas mechanics01.04.01 — Instruments and methods of experimental physics01.04.04 — Physical electronics01.04.10 — Semiconductor physics04.00.10 — Geotechnology (open-pit, underground and construction)04.00.04 — Hydrogeology and engineering geology04.00.09 — Mine surveying04.00.11 — Well drilling and development technology04.00.12 — Construction and operation of oil and gas pipelines, bases and storage facilities04.00.13 — Development and operation of oil and gas fields04.00.14 — Mineral processing04.00.15 — Technology and engineering of geological exploration04.00.16 — Mining machinery04.00.17 — Physical processes in mining05.01.01 — Engineering geometry and computer graphics. Audio and video technologies05.01.02 — Systems analysis, control and information processing05.01.04 — Mathematical and software support of computers, complexes and computer networks05.01.05 — Information protection methods and systems. Information security05.05.04 — Industrial heat power engineering05.02.03 — Technological machines. Robots, mechatronics and robotic systems05.01.08 — Automation and control of technological processes and productions05.01.10 — Information retrieval systems and processes05.01.11 — Digital technologies and artificial intelligence05.02.02 — Theory of mechanisms and machines. Machine science and machine parts05.02.04 — Standardization and product quality management05.02.05 — Technologies and processes of mechanical and physico-technical machining. Machine tools and equipment05.02.07 — Machines, apparatuses, units and devices of mechanical engineering05.02.06 — Technologies and equipment for processing structural materials05.02.08 — Ground complexes and aircraft05.04.01 — Telecommunication and computer systems, telecommunication networks and devices. Information distribution05.03.02 — Metrology and metrological support05.03.01 — Instruments. Measurement and control methods (by industry)05.05.02 — Electrical engineering. Electric power stations and systems. Electrotechnical complexes and devices05.04.02 — Radio engineering, radionavigation, radiolocation and television systems and devices. Mobile and fiber-optic communication systems05.05.01 — Power systems and complexes05.05.03 — Lighting engineering. 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Transport logistics05.08.02 — Railways and track facilities05.08.04 — Navigation and air traffic control05.08.05 — Railway rolling stock, train traction and electrification05.09.01 — Building structures, buildings and constructions05.08.06 — Wheeled and tracked vehicles and their operation05.09.02 — Bases, foundations and underground structures. Bridges and transport tunnels. Roads, metro systems05.09.03 — Heat supply. Ventilation, air conditioning. Gas supply and lighting05.09.04 — Water supply. Sewerage. Construction systems for water body protection05.09.05 — Building materials and products05.10.01 — Occupational safety and human life safety05.10.02 — Safety in emergencies. Fire, industrial, nuclear and radiation safety11.00.06 — Geodesy. Cartography18.00.01 — Theory and history of architecture. Restoration and reconstruction of architectural monuments18.00.02 — Zoning. Urban planning. Planning of rural settlements. Landscape architecture. Architecture of buildings and structures21.01.08 — Armed Forces logistics (including Armed Forces branches, arms of service and special units)21.01.09 — Military command and communication systems21.02.09 — Hydrometeorological and topo-geodetic support of troop combat operations21.02.05 — Engineering equipment of operational (tactical) axes, troop positions and deployment areas, fortification, camouflage21.02.12 — Military cybernetics, systems analysis, operations research, modeling of combat operations and military systems (including Armed Forces branches, arms of service and special units)21.02.25 — Military electronics, military complex equipment21.02.24 — Civil defense. Means and methods of emergency prevention and response01.04.08 — Nuclear and elementary particle physics. Accelerator technology05.05.06 — Power installations based on renewable energy sources04.00.02 — Geology, prospecting and exploration of solid mineral deposits. Metallogeny and geochemistry05.01.06 — Elements and devices of computer engineering and control systems05.02.01 — Materials science in mechanical engineering. Foundry. Thermal treatment and metal forming. Metallurgy of ferrous, non-ferrous and rare metals. Technology of rare, scarce and radioactive elements05.05.05 — Theoretical foundations of thermal engineering05.05.07 — Electrical technologies and electrical equipment in agriculture05.07.01 — Agricultural and land-reclamation machines. Mechanization of agricultural and land-reclamation works05.09.06 — Hydraulic and land-reclamation construction05.09.07 — Hydraulics and engineering hydrology05.09.08 — Construction technology and organization of construction processes21.02.13 — Informatics and computer technologies in military affairs21.02.14 — Armament and military equipment, military complexes and systems (including Armed Forces branches, arms of service and special units)21.02.17 — Operation and restoration of armament and military equipment, technical support (including Armed Forces branches, Armed Forces logistics, arms of service and special units)
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ARTICLE ANNOTATION

quote
This article discusses the mathematical modeling of the process of determining the micronaire value and maturity coefficient of cotton fibers using a universal instrument. The research identified the main influencing factors: acoustic signal frequency, fiber sample mass, and fiber layer thickness. Based on experiments, a full factorial plan was constructed and their results were statistically processed. As a result, an adequate regression model was obtained. The model allows evaluating the influence of factors on micronaire and maturity coefficient and selecting optimal operating modes. The proposed model can serve to introduce modern and accurate methods for assessing the quality of cotton fiber.

AUTHORS

A.Salimov

TOSHKENT TO'QIMACHILIK VA YENGIL SANOAT INSTITUTI

Tags

# mathematical modeling# cotton fiber# micronaire# maturity coefficient# universal instrument# acoustic signal

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References

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