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This book examines an intelligent system for the inspection
planning of prismatic parts on coordinate measuring machines
(CMMs). The content focuses on four main elements: the engineering
ontology, the model of inspection planning for prismatic parts on
CMMs, the optimisation model of the measuring path based on an
ant-colony approach, and the model of probe configuration and setup
planning based on a genetic algorithm. The model of inspection
planning for CMMs developed here addresses inspection feature
construction, the sampling strategy, probe accessibility analysis,
automated collision-free operation, and probe path planning. The
proposed model offers a novel approach to intelligent inspection,
while also minimizing human involvement (and thus the risk of human
error) through intelligent planning of the probe configuration and
part setup. The advantages of this approach include: reduced
preparation times due to the automatic generation of a measuring
protocol; potential optimisation of the measuring probe path, i.e.,
less time needed for the actual measurement; and increased planning
process autonomy through minimal human involvement in the setup
analysis and probe configuration.
This book examines an intelligent system for the inspection
planning of prismatic parts on coordinate measuring machines
(CMMs). The content focuses on four main elements: the engineering
ontology, the model of inspection planning for prismatic parts on
CMMs, the optimisation model of the measuring path based on an
ant-colony approach, and the model of probe configuration and setup
planning based on a genetic algorithm. The model of inspection
planning for CMMs developed here addresses inspection feature
construction, the sampling strategy, probe accessibility analysis,
automated collision-free operation, and probe path planning. The
proposed model offers a novel approach to intelligent inspection,
while also minimizing human involvement (and thus the risk of human
error) through intelligent planning of the probe configuration and
part setup. The advantages of this approach include: reduced
preparation times due to the automatic generation of a measuring
protocol; potential optimisation of the measuring probe path, i.e.,
less time needed for the actual measurement; and increased planning
process autonomy through minimal human involvement in the setup
analysis and probe configuration.
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