Lizhe Qi

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In this paper, a novel method for robotic belt grinding based on support vector machine and particle swarm optimization algorithm is presented. Firstly, the dynamic model of the robotic belt grinding process is built using support vector machine method. This is the basis of our work because the dynamic model shows the relation between the removal and(More)
In this paper, a novel method for robotic belt grinding based on support vector machine and particle swarm optimization algorithm is presented. Firstly, the dynamic model of the robotic belt grinding process is built using support vector machine method. This is the basis of our work because the dynamic model shows the relation between the removal and(More)
The performance of a model, which is trained with offline data, is highly relied on the conditions in which the system is working. When the working conditions change, the prediction accuracy of the model will be reduced significantly. To solve this problem, we propose an adaptive SVR modeling method based on vector-field-smoothed (VFS) algorithm. This(More)
Robotic belt grinding system has good prospect to release hand-grinder from their dirty and noisy working environment. However, as a kind of non-rigid processing system, it is a challenge to model its processes precisely for free-form surface because its performance is unstable due to a variety of factors, such as belt wear and belt replacement. In order to(More)
This paper presents a robotic blade grinding system controlled by a PC and a robot controller. The system consists of a six-degree-of-freedom(DOF) industrial robot, a flexible belt grinding machine and a control computer. Robotic blade grinding operation is performed by mounting the turbine blade to the robot flange and executing the robot program to move(More)
Nowadays, reverse engineering has been used more often for inspection and manufacturing in industry, such as the freeform part widely used in the engineering areas of automotives, aerospace and shipbuilding. However, due to the entire process is complicated and largely human intervened, the efficiency is low and the cost is very high. In this research, we(More)
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