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A Virtual Assembly Fat Model for Cooperative Assembly Processes of Large-Scale Product

Authors: Jinsong Bao; Yanchun Yang; Dianliang Wu;

A Virtual Assembly Fat Model for Cooperative Assembly Processes of Large-Scale Product

Abstract

Large-scale, complex products are designed collaboratively by different global manufacturers. This leads to problems of deciding manufacturing tolerance of production’s quality in the final assembly process. A new virtual assembly model, called VAFM (Virtual Assembly Fat Model), is presented in the paper. It integrates not only nominal CAD geometry, but also non-geometry information (geometric dimensions and tolerances (GD&T), bill of materials (BOM), process specifications, assembly deform and inspection data). All information of the model will evolve, mature and derived gradually from “thin” to “fat” during the whole cooperative assembly process. The paper presents the definition of a VAFM, its framework and the evolution rules of the fat model. The paper also presents a modeling language based on XML and its visualization. Finally, a case showing the evolution of the VAFM in the assembly process is illustrated.

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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!
1
Average
Average
Average
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