Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to WAAM and Hybrid Manufacturing
- Survey of additive manufacturing techniques for metal
- Fundamentals of WAAM and various deposition methods
- Hybrid robot-CNC methodologies and current industry trends
Basics of FANUC Welding Robot Programming
- Overview of FANUC robotic ecosystems and ROBOGUIDE simulation
- Developing paths for arc welding applications
- Teaching points, tool offsets, and coordinate system management
GMAW Process and WAAM Deposition Planning
- Optimizing Gas Metal Arc Welding (GMAW) settings for WAAM
- Managing wire feed rates, travel speed, and current control
- Strategies for single-bead and multi-bead layer construction
Coordination of HAAS CNC Systems
- Understanding 5-axis worktables and part setup procedures
- Aligning reference points and calibrating with robotic paths
- Programming CNC toolpaths for hybrid finishing operations
Integration Workflow Between Robot and CNC
- Process planning: comparing robot-first versus CNC-first hybrid approaches
- Techniques for handshaking, communication, and synchronization
- Timing simulation versus real-world execution
Process Validation and Troubleshooting
- Verifying the accuracy and consistency of WAAM geometry
- Addressing weld defects, layer distortion, and post-processing requirements
- Standard troubleshooting steps within hybrid environments
Summary and Next Steps
- Review of the components that make up an integrated WAAM process
- Recommended pathways for production validation and scaling
- Next steps regarding testing, safety compliance, and quality assurance
Requirements
- Familiarity with industrial automation concepts
- Practical experience in welding or robotic programming
- Foundational knowledge of CNC machining principles
Target Audience
- Robotic welding technicians
- Manufacturing and automation engineers
- Technologists specializing in hybrid CNC and robotic processes
21 Hours