Information Flow in Digital Twin for "Detection to Repair" of Defects Using Additive Manufacturing

被引:0
|
作者
Bender, Dylan [1 ]
Anderson, Jordan [2 ]
Gilbert, Mike [2 ]
Barari, Ahmad [1 ]
机构
[1] Ontario Tech Univ, Dept Mech & Mfg Engn, Adv Digital Design Mfg & Metrol Labs AD2MLabs, Oshawa, ON, Canada
[2] Ontario Power Generat, Innovat Dev X Lab, Oshawa, ON, Canada
来源
IFAC PAPERSONLINE | 2024年 / 58卷 / 19期
关键词
Digital Inspection; Digital Manufacturing; Additive Manufacturing; Manufacturing Information Control; Defect Detection and Repair; Integrated Inspection System; INSPECTION; SURFACES; MODEL;
D O I
10.1016/j.ifacol.2024.09.215
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Digitalization in inspection and manufacturing results in a wide range of advantages including the reduction of cost, complexity, and operation time, and increasing the flexibility, level of automation, and the capabilities to gain intelligence. This paper discusses an attractive benefit of digitalization which allows the integration of the information flow and control for the two processes of digital inspection and additive manufacturing. A digital twin of the additive manufacturing process is dynamically updated based on the intermittent inspection data obtained from the workpiece to integrate the information of the digital model for planning and controlling additive manufacturing process. The ultimate objective is to repair highly expensive, and large components in industrial sectors. The developed digital twin for this integrated system includes eight activities are demonstrated through an industrial case study. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:736 / 741
页数:6
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