About the Project
Researchers partnered with industry experts to develop a robotic system capable of performing automated residual stress measurements. The system utilized computer-assisted design (CAD) drawings to guide the robot’s movements, ensuring precise positioning of the measurement head at various points on complex geometries without the need for manual intervention.
Project Overview
Team Members:
- Researchers: Collaborated on the programming and implementation of the robotic system.
- Industry Expert: Provided industry-specific knowledge and requirements to ensure the system met operational standards.
- Technical Support Team: Supported the integration of hardware and software, ensuring seamless operation of the robotic system.
Areas of Expertise:
- Precision Manufacturing
- Advanced Measurement Techniques
- Robotics and Automation
Technologies:
- Robot Programming
- Sensor Technology
- CAD Software
Key Innovations
- Automated Robotic Measurement System: Developed a robotic system programmed to perform stress measurements autonomously at designated points on manufactured parts.
- CAD Integration for Automated Guidance: Implemented CAD integration to automate the positioning of the robot’s measurement head, enhancing accuracy and efficiency.
- Advanced Sensor Implementation: Utilized high-precision sensors, including the Keyence Laser IL-100 and X-Ray heads, to measure residual stress with high accuracy.
- Robotic Flexibility: Enabled the robot to rotate at +/- 45-degree angles at each measurement point to accommodate parts with complex geometries.
Impact & Benefits
- Increased Precision: Enhanced the precision of residual stress measurements.
- Improved Efficiency: Automated the measurement process, reducing the time and effort required for manual measurements.
- Reduced Training Requirements: Simplified the measurement process, reducing the need for extensive training of personnel.
- Enhanced Manufacturing Processes: Integrated advanced robotic and sensor technologies to improve the overall measurement process.
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