Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
