Community Research and Development Information Service - CORDIS

Adaptive finish grinding processes by AE monitoring

During grinding operations a large proportion of the electric energy is consumed by stationary operated sub-systems of the machine tool, regardless of the actual process state. Due to this problem any change of grinding parameters will not lead to significant energy consumption reductions without but shortening the process time.

Regarding the grinding process itself rough and finish grinding choosing this can be done be choosing adapted process parameters can reduce the power consumption of process related parts of the machine tool, like wheel or part spindle. Nevertheless, the energy consumption of all sub-systems stays the same, even during spark out operations regardless of the grinding operation, where grinding spindle power is much lower than elsewhere.

Since spark out operations are thought to improve the part's quality, especially roundness and surface roughness, the spark out time is rather process specific than parameters specific. In order to ensure optimum part quality, the time has to match the worst possible process input. In consequence, spark out time for most parts is much longer than needed.

This offers an interesting field of application for an adaptive control. If a sensing device would be possible to identify y such quality parameters as roundness error, an adaptive spark out time could be installed.

IFW has developed a sensing technology based on AE signal recording to maintain such information on the actual part geometry within the process.

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