Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/33430
Title: | Semi-automatic extraction of digital work instructions from CAD models | Authors: | Gors, Dorothy PUT, Jeroen VANHERLE, Bram witters, maarten LUYTEN, Kris |
Issue Date: | 2021 | Publisher: | Source: | Procedia CIRP, 97 , p. 39 -44 | Abstract: | Currently process engineers are using documents or authoring tools to bring the assembly instructions to the work floor. This is a time-consuming task, as instructions need to be created for each assembly operation. Furthermore, the engineer needs to be familiar with the assembly sequence. To assist the engineer, a tool is developed that i) uses a heuristic based on visibility, part similarity and proximity to semi-automatically determine the assembly sequence from a CAD model and ii) according to the computed sequence generates digital work instructions including visualizations and animations extracted from the CAD model. In essence, the assembly sequence generation works reversely: it determines the order in which components can be removed from the assembly, by evaluating whether the visibility of a component is obstructed by the remaining assembly. The reversed order is then returned as assembly sequence. During this process the engineer can modify the proposed sequence, add annotations and alter the vi-sualizations of the proposed instructions, i.e., images or 3D-animations. We illustrate that the developed tool effectively supports process engineers and speeds up the creation of digital work instructions by some industrial validation cases, e.g., the assembly of a weaving machine. | Document URI: | http://hdl.handle.net/1942/33430 | ISSN: | 2212-8271 | DOI: | 10.1016/j.procir.2020.05.202 | Rights: | 2020 The Author(s). 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/ ) | Category: | A1 | Type: | Journal Contribution | Validations: | vabb 2023 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s2_0-S2212827120314190-main.pdf | Published version | 1.08 MB | Adobe PDF | View/Open |
Page view(s)
62
checked on May 24, 2022
Download(s)
14
checked on May 24, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.