Artificially intelligent process planner for automated fiber placement

被引：0
|
作者：
Brasington, Alex [1 ]
Godbold, Matthew [1 ]
Harik, Ramy [1 ]
机构：
[1] Univ South Carolina, McNair Aerosp Ctr, 1000 Catawba St, Columbia, SC 29208 USA
来源：
MANUFACTURING LETTERS | 2024年 / 40卷
关键词：
Automated fiber placement; Process planning; Expert systems; Path planning; Artificial intelligence;
D O I：
10.1016/j.mfglet.2024.03.020
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Automated Fiber Placement (AFP) is a critical process in the manufacturing of advanced composite structures. The accurate and efficient placement of fibers plays a vital role in determining the final strength and integrity of the composite part. This paper presents an artificially intelligent process planner designed to optimize and automate the fiber placement process. The system utilizes advanced machine learning techniques to analyze design specifications, simulate fiber placement scenarios, and generate optimized placement plans. Through the integration of artificial intelligence, this process planner aims to enhance the speed, accuracy, and reliability of AFP, leading to improved composite structures. (c) 2024 Society of Manufacturing Engineers (SME). Published by Elsevier Ltd. All rights reserved.
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页码：143 / 145
页数：3
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