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Updated: Dec 7, 2025

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

An Efficient and Adaptable Path Planning Algorithm for Automated Fiber Placement Based on Meshing and Multi

Hong Xiao¹, Wei Han¹, Wenbin Tang^1,2

¹State Key Lab for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Materials (Basel, Switzerland)

|September 25, 2020

Summary

This summary is machine-generated.

This study presents an efficient path planning algorithm for automated fiber placement, improving fiber path quality on complex surfaces. The novel method enhances process efficiency and provides guidance for parameter selection.

Keywords:

automated fiber placement fiber-reinforced polymers path planning

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Area of Science:

Manufacturing Engineering
Computational Geometry
Materials Science

Background:

Automated fiber placement (AFP) relies on precise path planning for efficient and high-quality composite part manufacturing.
The quality of AFP paths directly impacts the final product's structural integrity and manufacturing efficiency.
Existing path planning algorithms face challenges with complex surface geometries.

Purpose of the Study:

To develop and investigate an efficient path planning algorithm for automated fiber placement.
To enhance the algorithm's applicability to complex mold surfaces.
To provide a method for accuracy analysis and parameter selection.

Main Methods:

Implementation of a surface meshing-based path planning algorithm.
Introduction of a guide-line update strategy for datum direction vector refinement.
Conducting accuracy analysis of the proposed algorithm.

Main Results:

The developed algorithm demonstrates efficiency in planning fiber paths.
The guide-line update strategy successfully extends applicability to complex surfaces.
Accuracy analysis provides a basis for triangulation parameter selection.

Conclusions:

The proposed path planning algorithm is efficient and suitable for complex surfaces in automated fiber placement.
The accuracy analysis serves as a valuable reference for optimizing algorithm parameters.
This work contributes to improving the quality and efficiency of composite manufacturing processes.