Design for Additive Manufacturing (DfAM) has traditionally been manual work and time-consuming, often requiring expert CAD knowledge. Imagine if these designs could be created in minutes, without sacrificing creativity or quality. This presentation shows how semi-automated design workflows make that vision a reality, embedding expert knowledge into guided, rule-based systems. Instead of replacing engineers, these tools empower them, bridging human design intent with rule-based guidance to accelerate the creation of manufacturable, application-specific geometries. Unlike fully scripted or AI-driven design systems, this approach blends human creativity with structured guidance, achieving the perfect balance of flexibility, repeatability, and efficiency.
Through real-world examples from Audi Sport, Ford, Schmalz, Knauf Additive and Deutsche Bahn, attendees will see how semi-automated workflows have reduced modeling time by up to 80% and enabled engineers and designers—even those without extensive CAD experience—to create manufacturable, application-specific parts for additive manufacturing. For example, medical experts can design patient-specific orthopedic devices without CAD skills. These case studies demonstrate how DfAM principles can be embedded into practical workflows, turning complex design challenges into efficient, repeatable, and high-quality solutions.
Join us to see how semi-automated DfAM is transforming additive manufacturing and discover practical ways to apply it in your own work.
Learning Objectives:
Translate DfAM into action: Understand how semi-automated, rule-based workflows embedded DfAM principles, improve repeatability, and reduce human error in additive manufacturing.
Empower design teams: Learn how design automation enables engineers and medical experts without extensive CAD expertise to create manufacturable, application-specific parts efficiently.
Drive efficiency and impact: See real-world benchmarks from automotive, tooling, railway, and orthopedic sectors, illustrating how automation enhances consistency, accessibility, and overall workflow performance.
