DESIGNING AN ENERGY-EFFICIENT SAW GIN MACHINE WORKING CHAMBER USING ARTIFICIAL INTELLIGENCE

Authors

  • Mirkhosil Agzamov Author
  • Khasanbek Nosirov Tashkent institute of textile and light industry Author
  • Diyorbek Mavlonov Tashkent institute of textile and light industry, Masters' student Author

Keywords:

artificial intelligence, saw gin machine, energy efficiency, working chamber, modeling, optimization, fiber quality, 3D simulation, data analysis, cotton fiber.

Abstract

Cotton fiber is strategically vital to Uzbekistan's economy, emphasizing efficient resource use and energy savings. Saw gin machines are key for separating fibers from seeds, but design flaws raise energy consumption and degrade fiber quality. This paper proposes AI-based modernization of the working chamber via modeling, optimization, data analysis, 3D simulations.

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Published

2025-12-01

Issue

Vol. 1 No. 1 (2025): NATSCIENCES.UZ: TOPICAL ISSUES OF NATURAL AND APPLIED SCIENCES

Section

Articles

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License

Copyright (c) 2025 Mirxosil Agzamov , Xasanbek Nosirov, Diyorbek Mavlonov (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Agzamov , M. ., Nosirov , K. ., & Mavlonov , D. . (2025). DESIGNING AN ENERGY-EFFICIENT SAW GIN MACHINE WORKING CHAMBER USING ARTIFICIAL INTELLIGENCE. Natsciences.Uz-Topical Issues of Natural and Applied Sciences, 1(1), 13-17. https://natsciences.uz/index.php/journal/article/view/14