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    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. DOI: 10.11973/jxgccl202205013
    引用本文: 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. DOI: 10.11973/jxgccl202205013
    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 and Mechanical Engineering, 2022, 46(5): 77-81. DOI: 10.11973/jxgccl202205013
    Citation: 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 and Mechanical Engineering, 2022, 46(5): 77-81. DOI: 10.11973/jxgccl202205013

    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%。

       

      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%.

       

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