| Deforming analysis of sheet metal based on stereo vision and coordinate grid |
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| 作者姓名： | HongqinWei DehongYu XueyuRuan YouqingWang |
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| 作者单位： | [1]DepartmentofPlasticityTechnology,ShanghaiJiaotongUniversity,Shanghai200030,China [2]DieorMouldandPlasticityProcessingResearchInstitute,Xi＇anJiaotongUniversity,Xi＇an710049,China |
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| 摘 要： | A new approach based on stereo vision technology is introduced to analyze sheet metal deformation. By measuring the deformed circle grids that are printed on the sheet surface before forming, the strain distribution of the workpiece is obtained. The measurement and analysis results can be used to verify numerical simulation results and guide production. To get good accuracy,some new techniques are employed: camera calibration based on genetic algorithm, feature abstraction based on self-adaptive technology, image matching based on structure feature and camera modeling pre-constrains, and parameter calculation based on curve and surface optimization. The experimental values show that the approach proposed is rational and practical, which can provide better measurement accuracy with less time than the conventional method.
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| 关 键 词： | 形变分析 立体影象 配位格 金属薄板 压力分布 遗传算法 自适应控制 |
Deforming analysis of sheet metal based on stereo vision and coordinate grid |
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| HongqinWei DehongYu XueyuRuan YouqingWang.Deforming analysis of sheet metal based on stereo vision and coordinate grid[J].Journal of University of Science and Technology Beijing,2004,11(2):178-182. |
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| Authors: | Hongqin Wei Dehong Yu Xueyu Ruan Youqing Wang |
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| Abstract: | A new approach based on stereo vision technology is introduced to analyze sheet metal deformation. By measuring the deformed circle grids that are printed on the sheet surface before forming, the strain distribution of the workpiece is obtained. The measurement and analysis results can be used to verify numerical simulation results and guide production. To get good accuracy,some new techniques are employed: camera calibration based on genetic algorithm, feature abstraction based on self-adaptive technology, image matching based on structure feature and camera modeling pre-constrains, and parameter calculation based on curve and surface optimization. The experimental values show that the approach proposed is rational and practical, which can provide better measurement accuracy with less time than the conventional method. |
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| Keywords: | sheet metal forming deforming analysis stereo vision coordinate grid |
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