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Classification, representation and automatic extraction of adhesively bonded assembly features

Shantanu Kumar Das (Department of Mechanical and Industrial Engineering, IIT Roorkee, Uttarakhand, India)
Abinash Kumar Swain (Department of Mechanical and Industrial Engineering, IIT Roorkee, Uttarakhand, India)

Assembly Automation

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

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited