Abstract
Industrial robots are introduced to belt grinding processes of free-formed surface with elastic wheel nowadays in order to obtain high quality product and high efficiency. However, it is a laborious task to plan grinding paths and write programs for the robot. To release people from it partially, it is necessary to simulate the belt grinding processes which are useful for path generating and dynamic robot control. In this paper, we present a framework of the robot controlled belt grinding simulation system and some key issues in it. We enhance the global removal model to local process model, which can simulate the grinding process more exactly. We also point out the bottleneck of the real-time simulation and put forward a neural network based regression method to meet this difficulty. At the end of the paper, some simple simulation examples are given.
Highlights
Belt grinding is a machining process with a geometric indeterminate cutting edge
The variant of the belt grinding with elastically deformable contact wheel is especially suitable for the finishing of sculptured surfaces because the elastic contact wheels allow a flexible processing through their adaptation to the part surface
Belt grinding with elastic contact wheel is applied practically, for example, by the manufacturing of turbine blades or by the processing of water taps
Summary
Belt grinding is a machining process with a geometric indeterminate cutting edge. The grinding belt (cutting tool) consists of coated abrasives and is attached around at least two rotating wheels. Belt grinding with elastic contact wheel is applied practically , for example, by the manufacturing of turbine blades (increasing complexity, higher quality of the surfaces) or by the processing of water taps (high aesthetic demands). An increasing elastic contact wheel leads to a better form adaptation to the surface of the workpiece allowing a higher quality of the processing of sculptured surfaces. In order to release the human from labored physical jobs and to increase productivity and efficiency as well, different industrial robot cells were developed. These robot systems replaced the manual processing in the last decade in many applications in the long run work. Some other additional transaction, e.g. force control, can be conducted (M. Cabaravdic et al, 2003)
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