As Engineering Manager for Innovation and Applications at Wurtec, our team has successfully integrated additive manufacturing into production workflows, achieving $100,000 in cost savings year-to-date through in-house production using Photocentric LC Magna printers. This presentation explores our comprehensive approach to advancing additive manufacturing capabilities through artificial intelligence integration, design for additive manufacturing (DfAM) methodologies, advanced use of 3D scanning, and innovative post-processing techniques tailored for the elevator and escalator industry.
Our journey encompasses multiple strategic initiatives bridging traditional manufacturing expertise with cutting-edge technologies. We are systematically closing the knowledge gap in DfAM software adoption, enabling our engineering team to design parts optimized for additive manufacturing. Through Blender integration, we develop textured surfaces that enhance both functionality and customer-facing aesthetics, moving beyond conventional smooth finishes to create parts that better serve end-user requirements.
Quality assurance leverages Creaform 3D scanning technology for comprehensive dimensional analysis and process optimization. Post-print metrology enables us to understand part warpage patterns, optimize support placement strategies, and implement data-driven design modifications that improve first-time print success. This closed-loop feedback system exemplifies how measurement technology directly informs design iteration.
Our post-processing innovation centers on functional texture application addressing practical manufacturing concerns. Drainage-optimized surface patterns reduce resin retention in printed parts. This research is in progress but is showing promise to make our process more efficient and safe cost of resin, cleaner, and impact on the environment.
AI integration into our operations includes training on new software, developing and ideating for new potential innovative solutions, and design optimization that reduces material waste while expanding geometric complexity achievable in production parts. Our case studies with Photocentric and Shapr3D demonstrate practical applications of accessible technology platforms that democratize advanced manufacturing capabilities across engineering teams.
This presentation provides actionable insights for manufacturers seeking production-grade additive manufacturing with measurable business impact.
Learning Objectives:
Calculate ROI for in-house additive manufacturing programs and communicate cost savings metrics to organizational leadership effectively.
Demonstrate how AI tools bridge knowledge gaps and enhance design ideation to accelerate DfAM implementation across engineering teams.
Apply DfAM principles using accessible software tools to optimize part designs and implement functional texturing for production applications.
