Abstract

Robotic Grinding Process of Turboprop Engine Compressor Blades with Active Selection of Contact Force

Highlights

  • The continuous development of sensory and executive systems enables the extension of the implementation of robotic systems into new areas of technology

  • To avoid the problem of analytical modeling of the complicated relationship between the desired force and the machining allowance Q occurring at the point determined by the coordinates xC, yC, zC, with fixed process parameters vr, vt, the NN was used, which was learned dependence given by Eq (2)

  • This avoids a situation in which the contact force is constant over the entire surface, which would lead to too large losses or machining allowances of different areas of the surface

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Summary

INTRODUCTION

The continuous development of sensory and executive systems enables the extension of the implementation of robotic systems into new areas of technology. Development work in the field of industrial robotization mainly concerns applications where a very large processrobot interaction is required Such problems include the process of grinding blades, where there is a need to remove the variable machining allowance. Too little feed causes the collection of too much material, and sometimes even overheating of the blade, and too much feed causes the surface to be unground All of these parameters are selected experimentally depending, inter alia, on the shape and material of the blade and the type of machining tool. The novelty of the presented approach is taking into account the position of the machined area on the blade as a decision variable influencing the value of the desired pressure force of the tool The use of this approach is justified by the variability of the curvature of the blade surface. In the analyzed bibliography, such an approach to the problem was not encountered

DESCRIPTION OF THE PROBLEM
ROBOTIZATION OF THE BLADE GRINDING PROCESS
Neural Process Controller
SOLUTION VERIFICATION
CONCLUSION
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