Construction of shot peening enhanced response surface model based on DEM-FEM coupling and the influence analysis of process parameter

ZHANG Hongwei; YAN Xichao; GAO Shi; CHEN Tao

doi:10.16579/j.issn.1001.9669.2025.03.008

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Construction of shot peening enhanced response surface model based on DEM-FEM coupling and the influence analysis of process parameter

·Experimental Research·Testing Technology· | 更新时间：2025-04-03

- Construction of shot peening enhanced response surface model based on DEM-FEM coupling and the influence analysis of process parameter
- Journal of Mechanical Strength Vol. 47, Issue 3, Pages: 67-74(2025)
- 作者机构：
  
  1.北京石油化工学院机械工程学院，北京 102617
  2.齐鲁理工学院智能制造与控制工程学院，济南 250200
- 作者简介：
  
  ZHANG Hongwei, E-mail: Zhanghw@bipt.edu.cn
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2025.03.008
  CLC： TP391.9;TG668
- Received：26 June 2023，
  
  Revised：02 September 2023，
  
  Published：15 March 2025
- 稿件说明：
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张洪伟，闫锡超，高师，等. 基于DEM-FEM耦合的喷丸强化响应面模型构建及工艺参数影响分析［J］. 机械强度，2025，47（3）：67-74.

ZHANG Hongwei，YAN Xichao，GAO Shi，et al. Construction of shot peening enhanced response surface model based on DEM-FEM coupling and the influence analysis of process parameter［J］. Journal of Mechanical Strength，2025，47（3）：67-74.
张洪伟，闫锡超，高师，等. 基于DEM-FEM耦合的喷丸强化响应面模型构建及工艺参数影响分析［J］. 机械强度，2025，47（3）：67-74. DOI： 10.16579/j.issn.1001.9669.2025.03.008.

ZHANG Hongwei，YAN Xichao，GAO Shi，et al. Construction of shot peening enhanced response surface model based on DEM-FEM coupling and the influence analysis of process parameter［J］. Journal of Mechanical Strength，2025，47（3）：67-74. DOI： 10.16579/j.issn.1001.9669.2025.03.008.

摘要

为了模拟喷丸强化过程，实现喷丸强化效果快速预测，基于Abaqus软件采用离散元法-有限元法（Discrete Element Method-Finite Element Method

DEM-FEM）耦合建立随机多丸粒喷丸强化模型，并以TC4钛合金为研究对象，通过喷丸强化试验来验证耦合模型的准确性。采用Box-Behnken设计（Box-Behnken Design

BBD）法，针对弹丸大小、喷丸速度和喷丸覆盖率3个工艺参数设计了三因素三水平的喷丸仿真试验方案，采用仿真分析获得表面残余应力值及表面粗糙度值，并通过Design-Expert软件进行数值拟合，最终得到喷丸工艺参数与表面残余应力和表面粗糙度之间的函数模型，采用响应面法分析弹丸大小、喷丸速度、喷丸覆盖率三因素之间的交互作用以及对喷丸强化效果的影响规律。结果表明，响应面预测模型结果与仿真计算结果误差低于5%，所建立的响应面预测模型具有较高的近似精度和可靠性，利用此模型可实现喷丸强化效果的有效预测。

Abstract

In order to simulate the shot peening process and realize the rapid prediction of the shot peening effect

a random multi-shot pellet shot peening strengthening model was established based on Abaqus software using the discrete element method-finite element method (DEM-FEM) coupling

and the TC4 titanium alloy was used as the research object to carry out the shot peening strengthening test to verify the accuracy of the coupling model. The Box-Behnken design (BBD) method was used to design a three-factor and three-level shot peening simulation test scheme for the three process parameters of projectile size

shot peening speed and shot peening coverage.The surface residual stress value and surface roughness value were obtained by simulation analysis

and the numerical fitting was carried out by Design-Expert software. Finally

the function models between the shot peening process parameters and the surface residual stress or surface roughness were obtained

the interaction between the three factors of projectile size，shot peening speed and shot peening coverage was analyzed by the response surface method

and the influence law of shot peening strengthening effect was analyzed.The results show that the error between the results of the response surface prediction model and the simulation calculation results is less than 5%

the established response surface prediction model has high approximate accuracy and reliability，and the effective prediction of shot peening effect can be achieved by using this model.

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references

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