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Enabling Machining Vision Using STEP-NC

Authors: Martin Hardwick; Frederick M. Proctor; David Loffredo; Sid Venkatesh;

Enabling Machining Vision Using STEP-NC

Abstract

STEP-NC is a new data format for manufacturing control. One of its applications is to enable integrated on machine measurement of machining processes using vision systems and other sensors. In this paper we describe the manufacturing process and manufacturing resource models in STEP-NC that can be used to enable this type of measurement. These descriptions include the machine setup so that the configuration of the part can be identified and corrected, the machine kinematics so that the actions of a machine while adding or subtracting material can be verified, and the product tolerances so that the quality of the final part can be predicted and corrected during the machining.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
1
Average
Average
Average
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