摘要
为研究喷丸处理对2024铝合金表面粗糙度的影响,提出一种利用数值模拟预测喷丸粗糙度的有效方法。对铝合金试件进行喷丸处理,测量得到粗糙度特征值Ra。利用有限元软件ABAQUS对喷丸过程建立多丸粒模型并进行数值模拟,基于所提出的Ra离散化计算式,通过对采样路径上节点位移的统计处理,得到Ra模拟值,最后通过改变模型相关参数,分析喷丸参数对粗糙度的影响规律。试验结果表明:模拟值与实测值相对误差分别为16.7%、2.5%、4.3%,两者吻合良好,验证了仿真模型及结果的正确性,另外模拟得出喷丸工件表面粗糙度随丸粒直径的增大而增加;随喷丸速度的增加而增加;随丸粒覆盖率的增大先大幅增长,后增速减缓。
In order to research the effects of shot peeing on roughness of 2024 aluminum alloy,an effective method with numerical simulation to predict shot peening roughness was put forward. Aluminum alloy specimens were treated by shot peening,and their roughness Rawere measured by experimental measurement. A model with multiple shots was established to simulate the process of shot peening using ABAQUS,and the Rawere obtained from the statistics of nodal displacements along some sample paths based on the proposed discretized formula. Then the effects of shot parameters on roughness were analyzed through changing the parameters of the model. The results showed that relative error between simulation and experiment were 16. 7%,2. 5%,4. 3%,which meant that simulation values were agree well with experimental ones. The correctness of simulation model and results was verified. In addition,it could be concluded by simulation that roughness increased as diameter of shots increased,as velocity of shots increased,and roughness increased quickly at beginning,then increased slowly as shot peening coverage increased.
出处
《山东大学学报（工学版）》
CAS
北大核心
2017年第1期84-89,共6页
Journal of Shandong University（Engineering Science）
基金
国家自然科学基金资助项目(51375267)
