Identifying deviation in aircraft structures using variation simulation

Dimla, E and Bowes, G 2017, 'Identifying deviation in aircraft structures using variation simulation', Advances in Materials and Processing Technologies, vol. 3, no. 4, pp. 463-481.


Document type: Journal Article
Collection: Journal Articles

Title Identifying deviation in aircraft structures using variation simulation
Author(s) Dimla, E
Bowes, G
Year 2017
Journal name Advances in Materials and Processing Technologies
Volume number 3
Issue number 4
Start page 463
End page 481
Total pages 19
Publisher Taylor and Francis
Abstract Although widely used in the automotive industry, Variation Simulation has only been in use in the aerospace industry for a relatively short period of time. The use of variation simulation in the aero-industries is by far and large, mainly by the large airframe manufacturing companies. Variation Simulation can be used to identify the variation and deviation in complex aircraft assemblies, where using traditional methods analysis can become very difficult, if not impossible. Typically variation analysis is performed by tolerance stack analysis using manual methods such as Root Sum Squares statistical tolerance. This method assumes the variation in all detail parts vary randomly, following a centred Normal Distribution with a ±3σ range. This paper outlines a brief study undertaken to identify how statistical tolerancing using Uniform Distribution may be more suitable than using Normal Distribution when working with simulation models.
Subject Manufacturing Processes and Technologies (excl. Textiles)
Keyword(s) Complex assemblies
variation analysis
variation simulation
tolerance stacking analysis
root mean square tolerance analysis
normal distribution
and uniform distribution
DOI - identifier 10.1080/2374068X.2017.1340046
Copyright notice © 2017 Informa UK limited, trading as Taylor & Francis Group
ISSN 2374-0698
Versions
Version Filter Type
Altmetric details:
Access Statistics: 3 Abstract Views  -  Detailed Statistics
Created: Thu, 06 Dec 2018, 10:39:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us