Яшил иқтисодиёт ва тараққиёт 3-jild 6-son (2025) · 20-25-betlar
METHODS FOR DEVELOPING A REGRESSION MODEL FOR FIBER SEPARATION IN WASTE AND DETERMINING MACHINE PRODUCTIVITY
Луқманов, Бунёд
Annotatsiya
This work investigates the formulation of a regression model to assess fibre separation efficiency and machine productivity in textile waste processing. The experiment examined two primary variables: the distance between the grid and drum pins (x₁) and the drum rotation speed (x₂), with fibre cleaning efficiency (Y₁) as the result variable. A rotating centre composite design was used to develop the experimental plan. Regression coefficients were computed and confirmed using Student’s t-test and Fisher’s criteria to confirm model adequacy. The resultant model precisely forecasts cleaning efficiency at various operational tiers. The optimal efficiency was seen at a grid-to-drum spacing of 9 mm and a drum speed of 700–740 rpm. The experimental findings demonstrated a maximum divergence of 5% from theoretical predictions, therefore affirming the model's trustworthiness. The research establishes a solid foundation for enhancing fibre cleaning apparatus and aids in augmenting the efficiency of cotton waste recycling operations.
Experimental ResultsStationary LevelFactors Under StudyCoefficientVarianceFisher's CriterionRMKT
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.