基于5G通信与高速拍照技术的喷丸强化仿真试验验证
Test Verification of Shot Peening Simulation Based on 5G Communication and High-Speed Camera Technology
摘 要
基于Eulerian-Eulerian气固两相流模型,采用Fluent-EDEM耦合计算的方式,对喷丸过程中弹丸瞬时速度和速度分布进行仿真分析;通过高速相机对弹丸空间位置进行记录,采用5G通信技术将喷丸设备的实时数据和高速相机的图像传输到云平台,利用图像处理技术获得弹丸速度,从而实现喷丸强化仿真的试验验证。结果表明:不同工艺参数下弹丸速度的仿真结果与实测值之间的相对误差最大不超过12.1%,模型的仿真预测精度较高;弹丸喷出后的速度随距喷口距离增大而先升后降,弹丸速度的空间分布呈抛物线趋势;开发的喷丸强度分析软件预测精度可达95%。
工艺参数
仿真分析
5G
高速相机
shot peening
process parameter
numerical simulation
5G
high-speed camera
Abstract
Based on Eulerian-Eulerian gas-solid two-phase flow model, instantaneous velocity and velocity distribution of shot during shot peening process were simulated and analyzed by of Fluent-EDEM coupling calculation. Space position of shot was recorded by high-speed camera, and the real-time data of shot peening equipment and the image of high-speed camera were uploaded to cloud platform by 5G communication technology. Shot velocity was obtained by image processing, so as to realize the test verification of shot peening simulation. The results show that the relative error between simulation results and measured values of shot velocity under different process parameters was not more than 12.1%, indicating the simulation prediction accuracy of the model was high. The velocity of shot after ejection increased first and then decreased with increasing distance from the nozzle, and the spatial distribution of shot velocity presented a parabolic trend. The developed shot peening intensity analysis software had prediction accuracy of 95%.
中图分类号 TG147 DOI 10.11973/jxgccl202205013
所属栏目 物理模拟与数值模拟
基金项目
收稿日期 2021/5/23
修改稿日期 2022/4/28
网络出版日期
作者单位点击查看
备注陈智超(1988-),男,上海人,工程师,硕士
引用该论文: CHEN Zhichao,XU Peng,GAO Longfei,CHEN Yuyu,CAO An,WANG Min,WANG Shijie. Test Verification of Shot Peening Simulation Based on 5G Communication and High-Speed Camera Technology[J]. Materials for mechancial engineering, 2022, 46(5): 77～81
陈智超,徐鹏,高龙飞,陈羽雨,曹安,汪敏,王世杰. 基于5G通信与高速拍照技术的喷丸强化仿真试验验证[J]. 机械工程材料, 2022, 46(5): 77～81
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参考文献
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【4】MEO M,VIGNJEVIC R.Finite element analysis of residual stress induced by shot peening process[J].Advances in Engineering Software,2003,34(9):569-575.
【5】高玉魁.TC18超高强度钛合金喷丸残余压应力场的研究[J].稀有金属材料与工程,2004,33(11):1209-1212. GAO Y K.Residual compressive stress field in TC18 ultra-high strength titanium alloy by shot peening[J].Rare Metal Materials and Engineering,2004,33(11):1209-1212.
【6】张洪伟,张以都,吴琼.喷丸强化残余应力场三维数值分析[J].航空动力学报,2010,25(3):603-609. ZHANG H W,ZHANG Y D,WU Q.Three-dimensional numerical analysis of residual stress field for shot-peening[J].Journal of Aerospace Power,2010,25(3):603-609.
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【8】高玉魁.超高强度钢喷丸表面残余应力在疲劳过程中的松弛规律[J].材料热处理学报,2007,28(增刊1):102-105. GAO Y K.Shot-peened surface residual stress relaxationduring fatigue for ultra-high strength steel[J].Transactions of Materials and Heat Treatment,2007,28(S1):102-105.
【9】MURUGARATNAM K,UTILI S,PETRINIC N.A combined DEM-FEM numerical method for shot peening parameter optimisation[J].Advances in Engineering Software,2015,79:13-26.
【10】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.
【11】GANGARAJ S M H,GUAGLIANO M,FARRAHI G H.An approach to relate shot peening finite element simulation to the actual coverage[J].Surface and Coatings Technology,2014,243:39-45.
【12】SHIVPURI R,CHENG X M,MAO Y N.Elasto-plastic pseudo-dynamic numerical model for the design of shot peening process parameters[J].Materials&Design,2009,30(8):3112-3120.
【13】RICHTER C H,GERKEN P,TELLJOHANN G.Formulation of a generalized unit cell and its application to shot peening simulation[J].Results in Materials,2020,8:100151.
【14】刘洋.颗粒流散裂靶流动及传热性能的实验模拟研究[D].兰州:中国科学院近代物理研究所,2017:18-20. LIU Y.The performance of flow and heat transfer experiments and simulation studies on granular flow spallation target[D].Lanzhou:Institute of Modern Physics, Chinese Academy of Sciences,2017:18-20.
【15】尹宁.基于CFD-DEM耦合分析方法的褐煤振动流化现象研究[D].沈阳:东北大学,2013:9-44. YIN N.Research on vibration fluidized phenomenon for lignite based on CFD-DEM coupling analysis method[D].Shenyang:Northeastern University,2013:9-44.
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