Enhanced Cyclically Stable Plasticity Model for Multiaxial Behaviour of Magnesium Alloy AZ31 under Low-Cycle Fatigue...

Area of Science:

• Materials Science
• Mechanical Engineering
• Computational Mechanics

Background:

• Magnesium alloys like AZ31 offer weight savings for automotive applications.
• Accurate modeling of multiaxial cyclic plasticity in AZ31 under low-cycle fatigue is challenging.
• Existing crystal and phenomenological plasticity models have limitations for magnesium alloys.

Purpose of the Study:

• To develop a robust elastoplastic model for simulating AZ31 magnesium alloy behavior.
• To address the limitations of current models in capturing complex cyclic plasticity under multiaxial loading.
• To enhance the accuracy of fatigue life predictions for automotive components.

Main Methods:

• Proposed a cyclically stable elastoplastic model integrating existing concepts.
• Developed an enhanced algorithm for stress and hardening parameter updates.
• Utilized a hyperbolic tangent function for hardening and a von Mises yield surface with kinematic hardening.

Main Results:

• The proposed model successfully simulates the stabilized response of AZ31 sheets under cyclic loading.
• Validated against experimental data, the model demonstrates accuracy in predicting material behavior.
• Achieved closed hysteresis loops for both uniaxial and multiaxial loading conditions.

Conclusions:

• The developed model offers improved accuracy for simulating AZ31 magnesium alloy fatigue.
• This advancement has significant potential for enhancing fatigue simulations in automotive design.
• The model provides a more reliable tool for predicting the performance of magnesium alloy components.