文章摘要
侍中楼,杨湘杰.TA11钛合金本构及铣削表面质量预测研究[J].精密成形工程,2025,17(1):33-42.
SHI Zhonglou,YANG Xiangjie.Constitutive Structure and Milling Surface Quality Prediction of TA11 Titanium Alloy[J].Journal of Netshape Forming Engineering,2025,17(1):33-42.
TA11钛合金本构及铣削表面质量预测研究
Constitutive Structure and Milling Surface Quality Prediction of TA11 Titanium Alloy
投稿时间:2024-04-09  
DOI:10.3969/j.issn.1674-6457.2025.01.005
中文关键词: TA11钛合金  表面粗糙度  JC本构模型  有限元模拟  正交实验  预测模型
英文关键词: TA11 titanium alloy  surface roughness  JC constitutive model  finite element simulation  orthogonal test  forecasting model
基金项目:2024教育部产学合作协同育人项目(230807295303331)
作者单位
侍中楼 江汉大学 工程训练中心武汉 430056 
杨湘杰 南昌大学南昌 330031
江西省高性能精确成形重点实验室南昌 330031 
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中文摘要:
      目的 探明不同铣削参数对TA11钛合金铣削表面质量的影响规律,建立基于铣削参量的表面粗糙度预测模型,实现TA11钛合金铣削表面质量的预测。方法 通过TA11钛合金在不同应变速率下的室温拉伸实验,构建TA11钛合金相关的JC本构模型,并基于此建立铣削过程的有限元模型,通过与实验对比验证有限元模拟的准确性;通过正交实验设计结合单因素分析法,阐明不同铣削参数组合下的TA11钛合金表面粗糙度演化规律;最后基于多元线性回归法,建立基于铣削参量的表面粗糙度预测模型。结果 分别建立了可真实反映TA11钛合金不同应变速率下应力-应变行为和损伤行为的JC本构模型与损伤模型,预测结果与实验结果吻合度较高;在铣削速度为5 300 r/min、每齿进给量为0.04 mm/z、铣削深度为1 mm、铣削宽度为0.2 mm的实验条件下,铣削过程的有限元模拟结果与实验结果误差为11.83%;所建立的粗糙度预测模型拟合程度R2=0.963、显著性水平P<0.001,模型拟合度较高,具有统计学意义。结论 所建立的JC本构模型和损伤模型能够较好地描述TA11钛合金在不同应变速率下的变形行为和损伤演化过程,基于此开展的铣削过程有限元模拟可反映铣削参量对TA11钛合金表面粗糙度的影响规律;所建立的表面粗糙度预测模型可为TA11钛合金铣削工艺方案的制订提供一定的工程指导。
英文摘要:
      The work aims to find out the influence of different milling parameters on the surface quality of TA11 titanium alloy, and establish a surface roughness prediction model based on milling parameters, so as to predict the milling surface quality of TA11 titanium alloy. A rate-dependent JC constitutive model of TA11 titanium alloy was established by tensile tests of TA11 titanium alloy at room temperature under different strain rates, and a finite element model of milling process was established based on this model. The accuracy of finite element simulation was verified by comparing with the experiment. Through orthogonal experimental design and single factor analysis, the evolution law of surface roughness of TA11 titanium alloy under different milling parameter combinations was expounded. Finally, based on multiple linear regression method, a surface roughness prediction model based on milling parameters was established. A JC constitutive model and a damage model were established respectively, which could reflect the stress-strain behavior and damage behavior of TA11 titanium alloy under different strain rates. The predicted results were in good agreement with the experimental results. When the milling speed was 5 300 r/min, the feed per tooth was 0.04 mm/z, the milling depth was 1 mm, and the milling width was 0.2 mm, the error rate between the finite element simulation results and the experimental results was 11.83%; R2=0.963, P<0.001, the fitting degree of the model was high and had statistical significance. In conclusion, the established JC constitutive model and damage model can well describe the deformation behavior and damage evolution process of TA11 titanium alloy under different strain rates, and the finite element simulation of milling process based on this model can reflect the influence of milling parameters on the surface roughness of TA11 titanium alloy. The established surface roughness prediction model can provide some engineering guidance for the formulation of TA11 titanium alloy milling process scheme.
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