An approach to characterization of the agricultural self-propelled machines stability. (February 2021)

• Record Type: Journal Article
• Authors: Petrović, Dragan V.; Cerović, Vera B.; Radojević, Rade L.; Mileusnić, Zoran I.
• Is Part Of: Journal of terramechanics. Volume 93(2021)
• Page Start: 51
• Page End: 63
• Publication Date: 2021-02
• Subjects: SSPM -- Mechanics -- Tractor -- Stable motion -- Spatial analytical geometry; Trafficability -- Periodicals; Praticabilité (Routes) -- Périodiques; Trafficability; Periodicals; 629.222
• DOI: 10.1016/j.jterra.2020.11.001
• Languages: English
• ISSNs: 0022-4898

Abstract

Graphical abstract: Highlights: SSPM can be installed on tractors computers to increase safety of their operation. This program estimates critical slope angles of mobile agricultural machines. The algorithm combines principles of theoretical mechanics and analytical geometry. Output results are represented in two manners: graphic and numerical. The algorithm is verified by experiment with a tractor model. Abstract: This paper presents an analytical algorithm with appropriate software specified for the approximation of the allowed critical slope of the solid flat terrain that guarantees static and/or dynamic stability of the specified self-propelled agricultural machines and their aggregates. This algorithm assumes machine as a rigid body, having 3 or 4 contact points (defined by wheels or crawlers), under uniform motion at different constant velocities and radii of curvature trajectories. Using this algorithm, based on the principles of theoretical mechanics combined with 3D analytical geometry, the computer program SSPM (s tability of the s elf-p ropelled agricultural m achines) has been coded. This software is intended to facilitate the analysis, comparison and optimization of different configurations of self-propelled agricultural machines in operation on horizontal and sloped flat terrains at constant velocities and radii of trajectory with respect to their static and dynamic stability. It calculates critical pitch and roll angles of the self-propelled machine and the maximum allowed slope of the flat terrain under the given conditions. The algorithm and the appropriate SSPM software were experimentally verified using the platform and low-scale tractor model. Average difference between calculated and experimental critical values of roll and pitch angles were about 4°