Evaluation of the ratcheting behavior of Cr-Mo steel used in CNG tank
Year: 2025
Type: article
Abstract: • Ratcheting effects are explored numerically on Cr-Mo steel used in CNG tanks. • Ratcheting behavior is simulated based on nonlinear kinematic/isotropic hardening model. • Low ductility from ratcheting caused increase in strain-hardening behavior under cyclic loading. • Shakedown phenomenon in initial cycles saturated ratcheting strain accumulation quickly. • Simulation numerical results have acceptable validation with experimental fatigue tests and similar steel experimental data. Compressed natural gas (CNG) tanks, due to the frequent filling and emptying during their service life, are constantly subjected to fatigue loading on the tank's wall, which causes premature failure. In this paper, the ratcheting behavior of 25CrMo4 steel used in constructing of a CNG tank was investigated numerically. Therefore, a series of experiments were performed to confirm the type of steel grade and the evaluation of mechanical properties. Also, ratcheting behavior is simulated numerically by the finite element method based on the nonlinear kinematic/isotropic hardening model. The novelty of this research is that the hardening coefficients of 25CrMo4 steel were estimated by particular innovative mathematical equations. The effect of amplitude stress and mean stress on the ratcheting behavior of 25CrMo4 steel was investigated numerically. Therefore, concluded that the increase of mean stress or amplitude stress effects on accumulation of ratcheting strain. Finally, to perform a validation procedure, the finite element results were compared with experimental data obtained from fatigue tests according to ASTM E606 standard and other research. Finaly concluded that the finite element simulation results were in satisfying agreement with the experimental data.
Source: Results in Engineering
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,940
Funder: Ferdowsi University of Mashhad
OpenAlex ID: W4407062482