An Experimental–Numerical Approach for Modelling the Mechanical Behaviour of a Pneumatic Tyre for Agricultural Machines

• Published in: Applied sciences Vol. 10; no. 10; p. 3481
• Main Authors: Anifantis, Alexandros Sotirios, Cutini, Maurizio, Bietresato, Marco
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2020
• Subjects: Agricultural equipment; Agricultural land; Agriculture; Computer simulation; Deformability; Deformation; farm tractor; FE model; Mathematical models; Mechanical properties; Modulus of elasticity; Numerical analysis; Operators (mathematics); Poisson's ratio; Pressure distribution; Regression analysis; Response surface methodology; Rollover; safety; Sensors; Soil compaction; Soil stabilization; Tires; tyre flattening; Vehicles; vertical loading of tyre; Italy
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app10103481

The mechanical behaviour of an agricultural tyre is a matter of extreme interest as it is related to the comfort of operators, to the adherence of agricultural machines, and to the compaction of agricultural soil. Moreover, the deformability of the tyres plays a fundamental role in vehicle stability in terms of side rollover. The behaviour of a loaded tyre during its deformation is complex, due to the combined contributions of the carcass components, the tread rubber and the air contained within it. Therefore, this study proposes an experimental–numerical approach for the mechanical characterization of agricultural tyres based on real-scale experiments and matches these results with a finite-element (FE) model. The tyre flattening in the elastic field has been described using two coefficients (Young’s modulus “E”, Poisson’s ratio “ν”), whose values have been identified with an iterative FEM procedure. The proposed approach was applied to two different tyres (420/85 R24 and 460/85 R34), each one inflated at two different pressures (1.0 bar and 1.6 bar). Young’s modulus was appreciated to be highly variable with the inflation pressure “p” of the tyres. Furthermore, the response surface methodology was applied to find two mathematical regression models, useful for studying the variations of the tyre footprint dimensions according to the type of tyre. This simple approach can be applied in other simulations without suffering any loss of accuracy in the description of the phenomenon.