2024铝合金喷丸粗糙度试验与数值模拟

doi:10.6040/j.issn.1672-3961.0.2016.140

摘要/Abstract

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R_a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。

关键词: 2024铝合金, 喷丸处理, 粗糙度, 试验测量, 数值模拟

Abstract: 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 Ra were measured by experimental measurement. A model with multiple shots was established to simulate the process of shot peening using ABAQUS, and the Ra were 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.

Key words: 2024 aluminum alloy, shot peeing, roughness, experimental measurement, simulation

中图分类号:

TG146.21

郑林彬,王建明,何讯超. 2024铝合金喷丸粗糙度试验与数值模拟[J]. 山东大学学报(工学版), 2017, 47(1): 84-89.

参考文献

[1] 宋仁国. 高强度铝合金的研究现状及发展趋势[J]. 材料导报, 2000, 14(1):20-21. SONG Renguo. Current status and trends in high strength aluminum alloy research[J]. Materials Review, 2000, 14(1):20-21.
[2] 刘兵, 彭超群, 王日初, 等. 大飞机用铝合金的研究现状及展望[J]. 中国有色金属学报, 2010, 20(9):1705-1715. LIU Bing, PENG Chaoqun, WANG Richu, et al. Recent development and prospects for giant plane aluminum alloys[J]. The Chinese Journal of Nonferrous Metals, 2010, 20(9):1705-1714.
[3] 曾元松, 黄遐, 李志强. 先进喷丸成形技术及其应用与发展[J]. 塑性工程学报, 2006, 13(3):23-29. ZENG Yuansong, HUANG Xia, LI Zhiqiang. The application and development of advanced shot peen forming technologies[J]. Journal of Plasticity Engineering, 2006, 13(3):23-29.
[4] RAJESH P, JIXI Z, MCDOWELL D L, et al. 3D modeling of subsurface fatigue crack nucleation potency of primary inclusions in heat treated and shot peened martensitic gear steels[J]. International Journal of Fatigue, 2009, 31(7):1176-1189.
[5] HONG T, OOI J Y, SHAW B. A numerical simulation to relate the shot peening parameters to the induced residual stresses[J]. Engineering Failure Analysis, 2008, 15(8):1097-1110.
[6] DALAEI K, KARLSSON B, SVENSSON L E. Stability of shot peening induced residual stresses and their influence on fatigue lifetime[J]. Materials Science and Engineering: A, 2011, 528(3):1008-1015.
[7] 赵远兴, 刘道新, 关艳英, 等. 陶瓷丸喷丸对2024HDT铝合金疲劳性能的影响[J]. 兵器材料科学与工程, 2014, 37(4):15-20. ZHAO Yuanxing, LIU Daoxin, GUAN Yanying, et al. Influence of ceramic peening on fatigue properties of 2024HDT aluminum alloy[J]. Ordnance Material Science and Engineering, 2014, 37(4):15-20.
[8] 田唐永. TC4 钛合金喷丸强化组织与性能研究[D]. 大连: 大连理工大学, 2012. TIAN Tangyong. Microstructures and properties of TC4 titanium alloy treated by shot peening[D]. Dalian: Dalian University of Technology, 2012.
[9] MYLONAS G I, LABEAS G. Numerical modelling of shot peening process and corresponding products: residual stress, surface roughness and cold work prediction[J]. Surface and Coatings Technology, 2011, 205(19):4480-4494.
[10] SHENGPING W, YONGJUN L, MEI Y, et al. Compressive residual stress introduced by shot peening[J]. Journal of Materials Processing Technology, 1998, 73(1):64-73.
[11] TAEHYUNG K, JIN H L, HYUNGYIL L, et al. An area-average approach to peening residual stress under multi-impacts using a three-dimensional symmetry-cell finite element model with plastic shots[J]. Materials & Design, 2010, 31(1):50-59.
[12] LAMMI C J, LADOS D A. Numerical predictions and experimental measurements of residual stresses in fatigue crack growth specimens[J]. Engineering Fracture Mechanics, 2011, 78(6):1114-1124.
[13] 李源, 雷丽萍, 曾攀. 弹丸束喷丸有限元模型数值模拟及试验研究[J]. 机械工程学报, 2011, 47(22):43-48. LI Yuan, LEI Liping, ZENG Pan. Shot stream finite element model for shot peening numerical simulation and its experiment study[J]. Journal of Mechanical Engineering, 2011, 47(22):43-48.
[14] LEI Z, HONG Y, XU L. Effect of residual stress on creep crack growth behavior in ASME P92 steel[J]. Engineering Fracture Mechanics, 2013, 110(1):233-248.
[15] GOZIN M H, AGHAIE-KHAFRI M. 2D and 3D finite element analysis of crack growth under compressive residual stress field[J]. International Journal of Solids and Structures, 2012, 49(23):3316-3322.
[16] 王强, 张志刚, 高玉魁, 等. 喷丸材料及粒径对 300M 钢原始表面粗糙度的影响[J]. 材料保护, 2011, 44(7):35-37. WANG Qiang, ZHANG Zhigang, GAO Yukui, et al. Effect of shot peening material and grit size on the surface roughness of 300M steel[J]. Materials Protection, 2011, 44(7):35-37.
[17] LLANEZ V, BELZUNCE F J. Study of the effects produced by shot peening on the surface of quenched and tempered steels: roughness, residual stresses and work hardening[J]. Applied Surface Science, 2015, 356:475-485.
[18] 周松, 谢里阳, 回丽, 等. 喷丸强化对2XXX铝合金疲劳寿命的影响[J]. 材料工程, 2014, 12(1):86-91. ZHOU Song, XIE Liyang, HUI Li, et al. Influence of shot peening on fatigue life of 2XXX aluminum alloy[J]. Journal of Material Engineering, 2014, 12(1):86-91.
[19] 强斌, 李亚东, 顾颖, 等. 钢板喷丸处理残余应力场和表面粗糙度数值模拟[J]. 西南交通大学学报, 2015, 50(4):691-697. QIANG Bin, LI Yadong, GU Ying, et al. Numerical simulation of residual stress field and surface roughness for steel plate subjected to shot peening[J]. Journal of Southwest Jiaotong Universty, 2015, 50(4):691-697.
[20] 李娜, 李玉龙, 郭伟国. 3 种铝合金材料动态性能及其温度相关性对比研究[J]. 航空学报, 2008, 29(4):903-908. LI Na, LI Yulong, GUO Weiguo. Comparison of mechanical properties and their temperature dependencies for three aluminium alloys under dynamic load[J]. Acta Aeronautica et Astronautica Sinica, 2008, 29(4):903-908.

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