Classification, representation and automatic extraction of adhesively bonded assembly features
ISSN: 0144-5154
Article publication date: 12 June 2019
Issue publication date: 3 October 2019
Abstract
Purpose
This paper aims to present the classification, representation and extraction of adhesively bonded assembly features (ABAFs) from the computer-aided design (CAD) model.
Design/methodology/approach
The ABAFs are represented as a set of faces with a characteristic arrangement among the faces among parts in proximity suitable for adhesive bonding. The characteristics combination of the faying surfaces and their topological relationships help in classification of ABAFs. The ABAFs are classified into elementary and compound types based on the number of assembly features exist at the joint location.
Findings
A set of algorithms is developed to extract and identify the ABAFs from CAD model. Typical automotive and aerospace CAD assembly models have been used to illustrate and validate the proposed approach.
Originality/value
New classification and extraction methods for ABAFs are proposed, which are useful for variant design.
Keywords
Acknowledgements
The authors thank Ministry of Human Resources and Development (MHRD), Government of India for the financial support provided to carry out this research.
Citation
Das, S.K. and Swain, A.K. (2019), "Classification, representation and automatic extraction of adhesively bonded assembly features", Assembly Automation, Vol. 39 No. 4, pp. 607-623. https://doi.org/10.1108/AA-07-2018-095
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited