简介:
Overview
A collaborative composite manufacturing system is developed for robotic lay-up of composite laminates using prepreg tape. This system enhances the production of composite laminates with complex geometries.
Key Study Components
Area of Science
- Composite manufacturing
- Robotics
- Automation
Background
- Current automated fiber placement machines are limited to large, open-surface parts.
- There is a growing demand for small, complex structures in industry.
- The dexterity of fiber placement machines can be improved using advanced robotics.
- The study demonstrates a method for enhancing composite part manufacturing.
Purpose of Study
- To develop a system that allows for the production of complex composite laminates.
- To address challenges in path planning and robot coordination.
- To improve the manufacturing process of composite parts.
Methods Used
- Utilization of a rotational stage and a combination of parallel and serial robots.
- Loading frame definition files through optical CMM software.
- Positioning robots using detected targets for accurate reference.
- Establishing a base frame as the origin for the robotic system.
Main Results
- The proposed system successfully enhances the dexterity of fiber placement machines.
- Complex composite parts can be manufactured with improved precision.
- Path planning and coordination issues were effectively addressed.
- The method demonstrates potential for industrial applications.
Conclusions
- The collaborative manufacturing system represents a significant advancement in composite production.
- Improved robot coordination leads to better manufacturing outcomes.
- This approach could meet the industry's demand for complex structures.
What is the main focus of the study?
The study focuses on developing a robotic system for manufacturing complex composite laminates.
How does the new system improve manufacturing?
It enhances dexterity and allows for the production of small, complex structures.
Who is demonstrating the procedure?
The procedure will be demonstrated by Pengcheng Li, a PhD student.
What challenges does the system address?
It addresses path planning, robot coordination, and control issues.
What technology is used in the system?
The system employs a rotational stage, parallel robots, and serial robots.
What is the significance of this research?
It represents a step forward in meeting industrial demands for complex composite parts.