Enriched machining feature-based reasoning for generic machining process sequencing

Enriched machining feature-based reasoning for generic machining process sequencing

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Article ID: iaor2007104
Country: United Kingdom
Volume: 44
Issue: 8
Start Page Number: 1479
End Page Number: 1501
Publication Date: Jan 2006
Journal: International Journal of Production Research
Authors: , , ,
Keywords: project management
Abstract:

This paper presents an enriched machining feature (EMF)-based reasoning approach to generic machining process sequencing for distributed process planning (DPP). An EMF is represented by combining its machining volume with surface, geometric and volume features, as well as other technological information needed to machine the feature. The information embedded in the EMF is retrieved progressively for machining sequence generation. Following an introduction of EMF and its representation scheme, the problems in determining machine-independent feature groups (set-ups) in DPP and their machining sequences to be followed for a given part are investigated. Based on the EMF concept, five reasoning rules are formulated and the algorithms developed. As the set-ups and sequences are generated based on manufacturing constraints and datum references but separated from specific resources, they are generic and applicable to machine tools with varying configurations and capabilities. This approach is further validated through a case study.

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