Gap volume prediction for aircraft wing assembly

被引：2

作者：

Yang, Ye ^{[1
]}

Jin, Yan ^{[1
]}

Price, Mark ^{[1
]}

Abdelal, Gasser ^{[1
]}

Maropoulos, Paul ^{[1
]}

Higgins, Colm ^{[2
]}

机构：

[1] Queens Univ Belfast, Sch Mech & Aerosp Engn, Belfast, Antrim, North Ireland

[2] Queens Univ Belfast, Northern Ireland Technol Ctr, Belfast, Antrim, North Ireland

来源：

10TH CIRP SPONSORED CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGIES (DET 2020) - DIGITAL TECHNOLOGIES AS ENABLERS OF INDUSTRIAL COMPETITIVENESS AND SUSTAINABILITY | 2021年 / 54卷

基金：

英国工程与自然科学研究理事会;

关键词：

Predictive shimming; Laser scan; Point cloud data; Gap volume prediction; Aircraft assembly;

D O I：

10.1016/j.promfg.2021.07.035

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this work, two methods for predictive shimming based on laser scan technology and point cloud processing software have been presented. The first one is direct measurement method in PolyWorks, and the second one is feature-based modelling method in SolidWorks. Firstly, both component-level and assembly-level scans are collected by a laser scanner. Then, the point clouds are post-processed and registered in PolyWorks. Thirdly, gap information (shape and thickness) is obtained either in PolyWorks or in SolidWorks. Results show that the proposed methods can obtain gap information successfully based on current hardware and software. (c) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

引用

页码：227 / 232

页数：6

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