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Integrating GD&T into dimensional variation models for multistage machining processes

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Loose, Jean-Philippe, Zhou, Qiang, Zhou, Shiyu and Ceglarek, Darek (2010) Integrating GD&T into dimensional variation models for multistage machining processes. International Journal of Production Research , Vol.48 (No.11). pp. 3129-3149. doi:10.1080/00207540802691366

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Official URL: http://dx.doi.org/10.1080/00207540802691366

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Abstract

Recently, the modelling of variation propagation in multistage machining processes has drawn significant attention. In most of the recently developed variation propagation models, the dimensional variation is determined through kinematic analysis of the relationships among error sources and dimensional quality of the product, represented by homogeneous transformations of the actual location of a product's features from their nominal locations. In design and manufacturing, however, the dimensional quality is often evaluated using Geometric Dimensioning and Tolerancing (GD&T) standards. The method developed in this paper translates the GD&T characteristic of the features into a homogeneous transformation representation that can be integrated in existing variation propagation models for machining processes. A mathematical representation using homogeneous transformation matrices is developed for position, orientation and form characteristics as defined in ANSI Y14.5; further, a numerical case study is conducted to validate the developed methods.

Item Type: Journal Article
Subjects: T Technology
T Technology > TS Manufactures
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: International Journal of Production Research
Publisher: Taylor & Francis Ltd.
ISSN: 0020-7543
Official Date: 2010
Dates:
DateEvent
2010Published
Volume: Vol.48
Number: No.11
Number of Pages: 21
Page Range: pp. 3129-3149
DOI: 10.1080/00207540802691366
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: National Science Foundation (U.S.) (NSF), Engineering and Physical Sciences Research Council (EPSRC), NIST
Grant number: DMI-033147, EP/E044506/1 (EPSRC), 70NANB3H3054

Data sourced from Thomson Reuters' Web of Knowledge

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