Stream-of-variation based quality assurance for multi-station machining processes - Modeling and planning

J. V. Abellan-Nebot, J. Liu, F. Romero Subiron

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

In the effort of quality assured product design and implementation, a reliable 3D manufacturing variation propagation model for multi-station machining processes (MMPs) is a key enabler to evaluate the output of geometric and dimensional product quality. Recently, the extension of the stream-of-variation (SoV) methodology provides quality engineers with a tool to model the propagation of machining-induced variations, together with fixture- and datum-induced variations, along multiple stations in MMPs. In this chapter, we present a generic framework of building the extended SoV model for MMPs. Its application in manufacturing process planning is introduced and demonstrated in detail through a 3D case study.

Original languageEnglish (US)
Title of host publicationStatistical and Computational Techniques in Manufacturing
PublisherSpringer-Verlag Berlin Heidelberg
Pages55-99
Number of pages45
Volume9783642258596
ISBN (Electronic)9783642258596
ISBN (Print)3642258581, 9783642258589
DOIs
StatePublished - Sep 1 2012

ASJC Scopus subject areas

  • Engineering(all)

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    Abellan-Nebot, J. V., Liu, J., & Subiron, F. R. (2012). Stream-of-variation based quality assurance for multi-station machining processes - Modeling and planning. In Statistical and Computational Techniques in Manufacturing (Vol. 9783642258596, pp. 55-99). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-642-25859-6_2