1、

This paper emphases on experimental investigations on springback in typical forming operations such as convex edge flanging, concave edge flanging, "U" shape component forming, and "V" shape component forming.

本文重点开展了凸弧翻边、凹弧翻边、V型件冲压、U型件冲压等典型冲压工序的回弹试验研究。

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2、

On the basis of a constructed edge map, instantaneous position information of Snakes was attained with the statistical method, while the information contributes to the solution to problems of difficulty in converging at concave edge and controlling the convergence condition and the problem of the step oneness.

构造图像边界信息图,用统计学方法获得Snakes的即时位置信息,解决传统模型的难于收敛到凹型边界、收敛条件不易控制以及移动步长的单一等问题。

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3、

Aiming at the limitations that classic Snake cannot converge to concave edge and convergence speed is slowly, a moving target tracking method based on frame-to-frame difference and GVF snake is proposed.

针对Snake不能收敛于凹形边缘和收敛速度慢的缺点,结合帧间差分和梯度矢量流主动轮廓模型(GVF Snake),提出了一种运动目标跟踪方法。

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4、

After investigating the concave exit edge of slurry pump impeller, the paper points out the possibility to improve the flow passage wear of slurry pumps in the hydrodynamics point of view.

通过对渣浆泵转轮的凹形叶片出口边的研究,从流体动力学的角度指出了改善渣浆泵过流部件磨损情况的可能性;

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5、

Experiments on springback in concave and convex edge flanging are carried out. Method of the mixed-level orthogonal test design is used to select the training sets from experiment data, and a radial basis function ( RBF) neural network model for springback is developed.

对薄板内凹、外凸翻边进行了回弹试验,借助混合水平的正交试验设计方法从试验数据中选择训练样本,建立了回弹的径向基函数神经网络模型。

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