42CrMo曲轴钢喷丸强化有限元模拟

喷丸强化能够有效提高42CrMo曲轴钢的抗疲劳性能,且喷丸数值模拟是制定喷丸工艺方案、评估喷丸后工件表面疲劳抗力的主要理论工具。为了体现喷丸过程中的随机性,利用MATLAB软件提供的Rand随机函数产生弹丸的位置,建立随机喷丸模型,并在此模型基础上研究弹丸直径、弹丸材料、冲击速度以及覆盖率与残余应力间的分布规律,进一步讨论喷丸工艺对42CrMo曲轴钢表面粗糙度的影响。研究发现:随着弹丸直径以及速度的增大,残余应力增大,抗疲劳性能提高,但粗糙度也相应增大;随着覆盖率的增大,残余应力增大,表面残余应力分布更加均匀,稳定性提高;同时弹丸强度越高,残余应力越大。通过喷丸试验对随机多弹丸模型进行验证,为喷丸工艺的精确控制提供了科学依据和理论基础。

Finite Element Simulation of 42CrMo Steel Shot Peening

The shot peening process can improve the fatigue resistance of 42CrMo crankshaft steel. The numerical simulation of shot peening was the main theoretical tool to develop the shot peening process and evaluate the surface fatigue of the resistance of the workpiece after shot peening. In this paper, the random shot peening model was used to generate the position of the projectile by the Rand random function provided by MATLAB software. Based on this model, the projectile diameter, projectile material, impact velocity and the distribution of the coverage and residual stress are studied. The influence of shot blast technology on the surface roughness of 42CrMo crankshaft steel was further discussed. The study finds that with the increase of the diameter and speed of the projectile, the residual stress increases and the anti-fatigue performance improves, but the roughness also increases accordingly. With the increase of coverage, the residual stress increases, the surface residual stress distribution is more uniform and the stability is improved. The higher the projectile strength, the greater the residual stress. The random multi-projectile model is verified by the shot blast test, which provides the scientific basis and theoretical basis for the precise control of the pellet process.