Accepted by IEEE International Workshop on Metrology for Industry 4.0 and IoT 2018
Abstract
Precise automatic product inspection is an important
building block of industrial manufacturing. Different products
require different inspection techniques and setup configurations
to be thoroughly inspected for all their geometrical features.
As the design space is large and complex, especially for geometrically
complex surfaces with deep cavities, empirical setup design
can turn into a very time consuming process with suboptimal
solutions. In today’s industry we are missing a generic automatic
method to translate the inspection requirements into optimized
inspection solutions. In this paper we propose an optimization
framework to automatically propose optimized setup solutions, by
minimizing the number of acquisitions which maximally fulfil the
inspection requirements. As an example, we consider maximizing
the surface coverage of a cylinder head in a laser triangulation
setup. We characterize the design space and propose using the
Particle Swarm Optimization for solving the problem. We finally
demonstrate the planning results which successfully cover hardly
reachable areas on the object.
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