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Model-based Planning of Machining Operations for Industrial Robots

Authors: F. Schnoes; M.F. Zaeh;

Model-based Planning of Machining Operations for Industrial Robots

Abstract

Abstract The static and dynamic mechanical properties of standard industrial robots differ strongly from common CNC-machines. For robot-based machining operations, these properties have to be considered. In this paper, a method for the optimal placement of the workpiece within the workspace, the design of the machining process and the compensation of toolpath deviations during the machining process of metallic workpieces is presented. The method is based on a coupled machine-process-model and the derivation of performance, accuracy and reliability indicators. The method was validated by the machining of aluminum workpieces and the evaluation of the accuracy improvement due to the multi-axis compensation mechanism.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
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