Statistical analysis of the working process for vertical rotor harrows
2021
Iordache, V., University of Craiova (Romania) | Saracin, I., University of Craiova (Romania) | Iordache, S.D., University Politehnica of Bucharest (Romania)
The paper presents the results of the statistical analysis on the qualitative indices of the working process of vertical rotor harrows for preparing the germination bed in order to establish agricultural crops: the degree of soil shredding, the degree of soil levelling, as well as energy indices of the work: tensile strength, fuel consumption and fuel consumption specific to the productivity unit. For each of the quality indices of the work theoretical expressions were obtained that show their dependence on some of the main operating parameters of vertical axis rotor harrows: working speed, speed of the harrow rotors and the number of knives that equip each rotor. The purpose of the static analysis is to show which of the quality indices and energy indices of the work process have a real optimization potential for the work process. The results obtained were used in statistical models that can indicate a higher degree of generality. Capitalization of statistical results is for validation and/or correction of theoretical or theoretical-empirical models of technical-economic quality indices: consumption, productivity. From the statistical analysis it resulted that one of the quality parameters (energy) deeply involved in the calculation of consumption is the tensile strength, which theoretical-empirical model was based on the experimental results presented in this article. Statistical models provide relationships between quality parameters of works performed by agricultural machines and input and control (adjustment) parameters of the work process. In this way it becomes possible to optimize the quality, possibly simultaneously with the energy and economic optimization of the work process.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Fundamental Library of Latvia University of Life Sciences and Technologies
Découvrez la collection de ce fournisseur de données dans AGRIS