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Duration 21 hours
Course Outline
Foundations of WAAM and Hybrid Manufacturing
- Insights into metal additive manufacturing technologies
- Core WAAM principles and various deposition methodologies
- Exploring hybrid robot-CNC strategies and current industry developments
Basics of FANUC Welding Robot Programming
- Introduction to FANUC robotic architectures and the ROBOGUIDE platform
- Designing motion paths specific to arc welding applications
- Managing teaching points, tool offsets, and coordinate frameworks
GMAW Parameters and WAAM Deposition Strategy
- Optimizing Gas Metal Arc Welding (GMAW) settings for WAAM
- Controlling wire feed rates, travel speeds, and electrical current
- Developing strategies for single-bead and multi-bead layering
Coordination with HAAS CNC Systems
- Understanding 5-axis worktable mechanics and part setup procedures
- Performing reference alignment and calibration relative to robotic paths
- Creating CNC toolpaths for hybrid finishing operations
Seamless Integration of Robot and CNC Operations
- Planning processes: evaluating robot-led versus CNC-led hybrid approaches
- Implementing handshaking, data communication, and synchronization protocols
- Simulating operational sequences and managing real-world timing
Validating Processes and Resolving Issues
- Assessing geometric accuracy and consistency in WAAM outputs
- Addressing weld defects, layer distortion, and post-processing requirements
- Applying standard troubleshooting techniques in hybrid settings
Conclusions and Future Pathways
- Recapping the key components of integrated WAAM processes
- Identifying opportunities for production validation and scale-up
- Outlining next steps for testing, safety adherence, and quality control
Requirements
- Familiarity with industrial automation fundamentals
- Prior exposure to welding or robotic programming environments
- Foundational understanding of CNC machining logic
Target Participants
- Robot welding technicians
- Manufacturing and automation specialists
- Engineers managing hybrid CNC and robotic workflows
