دانلود مقاله ISI انگلیسی شماره 95799
ترجمه فارسی عنوان مقاله

شبیه سازی برش خاک و بهینه سازی پارامترهای تیغه دوار دستی با مدل سازی هیدرودینامیک ذرات صاف و روش تاگوچی

عنوان انگلیسی
Soil-cutting simulation and parameter optimization of handheld tiller's rotary blade by Smoothed Particle Hydrodynamics modelling and Taguchi method
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
95799 2018 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Cleaner Production, Volume 179, 1 April 2018, Pages 55-62

ترجمه کلمات کلیدی
مصرف برق، پنجه دستی، تیغه روتاری، بهینه سازی پارامتر،
کلمات کلیدی انگلیسی
Power consumption; Handheld tiller; Rotary blade; Parameter optimization;
پیش نمایش مقاله
پیش نمایش مقاله  شبیه سازی برش خاک و بهینه سازی پارامترهای تیغه دوار دستی با مدل سازی هیدرودینامیک ذرات صاف و روش تاگوچی

چکیده انگلیسی

Reduction of power consumption of mechanical tilling operation benefits the environment and sustainability of a farming system. Rotary blade is the main tilling part of a handheld tiller, and its shape and parameters directly affect power consumption and performance of a handheld tiller. For purpose of optimization of rotary blade and energy saving for the tilling operation, soil-cutting simulation was performed by means of Smoothed Particle Hydrodynamics (SPH) modelling in this study. Taking cornerite of bending point (X1), alpha angle (X2) and bending angle (X3) as control factors and power consumption (Y) as evaluation index, soil-cutting experiments by simulation were conducted according to Taguchi method, and correctness of the simulation was validated by soil bin test. The effects of those control factors on power consumption were investigated. A regression equation of power consumption in terms of control factors and their interactions was obtained. The response surfaces to power consumption as functions of X1, X2 and X1, X3 were plotted. Results showed that: control factors of X1, X2 and X3 are significant at 0.1% probability level by F test of analysis of variance (ANOVA), with orders of importance as X1, X2 and X3; optimized parameters of the rotary blade are X1 30°, X2 52°, and X3 120°; power consumption of the optimized rotary blade is 0.161 kW, with a 12.40% of power consumption reduction compared with the traditional design.