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摘要:
预载荷下板料激光弯曲成形是一种较新的板料弯曲成形方法，本文对其工艺参数进行了分析研究。使用软件ABAQUS建立了预载荷下板料激光弯曲成形的有限元模型，并进行了试验验证，在此模型的基础上，采用均匀设计法进行了变工艺参数仿真试验设计，利用仿真试验结果建立了各工艺参数与变形量间的回归模型，并进一步分析了工艺参数对变形量的影响及其内在原因。研究表明，各工艺参数中扫描速度对变形量的影响最大，而激光功率的影响最小；光斑直径与扫描速度间存在对变形量有高度显著影响的负交互作用；变形量随预载荷增大近似呈指数上升，随激光功率的增大近似呈线性增大，随光斑直径的增大近似呈线性下降，随扫描速度的增大呈现先减小后增大的趋势。
Abstract:Laser bending of preloaded metal plate is a relatively new bending method and its process parameters are researched in this paper. A finite element model of the forming process was established based on software ABAQUS, and its reliability was verified by test. Then, finite element simulations using different process parameter values were done by uniform design. On the basis of the simulation results, a regression model of relationship between the process parameters and deformation amount was developed. Further, influences of the process parameters on the deformation amount and the internal reasons of these influences were analyzed. It is shown that among the parameters the scanning speed has the greatest influence on the deformation amount while the laser power has the minimal influence. The negative interaction of the laser spot diameter and scanning speed affects the deformation amount significantly. The deformation amount increases almost exponentially with the increase of preload amount, increases linearly with the increase of laser power, and decreases almost linearly with the increase of laser spot diameter. Moreover, it decreases at first and increases later with the increase of scanning speed.
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Key words:
- preload /
- laser bending /
- process parameters /
- finite element method /
- uniform design /
- regression analysis
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图 1 成形过程的有限元模型
1—左支撑；2—右支撑；3—顶头；4—板料。
Figure 1. Finite element model of forming processes
图 4 试验和仿真的力-位移曲线对比
Figure 4. Comparison of force-displacement curves between test and simulation
表 1 试验方案和结果
Table 1. Test scheme and results
试验号 F/N P/W Φ/mm V/(mm·s-1) H/mm 1 830 1 200 5.5 30 2.61 2 830 1 500 4.5 25 3.49 3 874 1 200 6.5 15 3.85 4 874 1 500 5.0 10 6.02 5 918 1 100 4.0 35 4.17 6 918 1 400 6.0 25 2.94 7 962 1 100 4.5 20 4.82 8 962 1 400 6.5 10 6.82 9 1 006 1 000 5.5 35 4.67 10 1 006 1 300 4.0 30 5.53 11 1 050 1 000 6.0 20 5.85 12 1 050 1 300 5.0 15 7.48 
下载: 导出CSV
表 2 各回归系数的t值
Table 2. t values of regression coefficients
回归系数 X1 X4 X12 X22 X42 X3X4 t值 -5.33 -9.47 6.04 2.25 10.30 -7.76
下载: 导出CSV
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