{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Additive Snack","title":"AI Update in Additive Manufacturing: Design, Process, Workforce and Industry impact","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/e60e0d19\"></iframe>","width":"100%","height":180,"duration":3390,"description":"Fabian Alefeld hosts Duann Scott on the Editor Snack podcast to discuss how AI is evolving in additive manufacturing, moving from “AI-washing” and impractical text-to-mesh hype toward more capable tools using language models, visual language models, surrogate models, and emerging foundational models. Scott describes testing tools by trying to make them fail and highlights a recent success with the Raven plugin for Rhino/Grasshopper, which generated a parametric VESA mount and tripod adapter from minimal prompts, then iteratively added fillets and an isogrid structure and produced a printable part within hours. They discuss constraints like missing engineering training data and design intent, the promise of AI for toolpath and process optimization (including transfer of parameter knowledge across materials), and the role of the 3MF format in capturing toolpath and metadata to enable richer, searchable datasets. Scott previews CDFAM events in Barcelona, DC, and Tokyo and emphasizes that progress requires significant data work and investment.\n \n \n00:00 Welcome and Guest Intro\n \n02:18 AI Hype to Real Progress\n \n04:13 Testing AI Design Tools\n \n04:46 Data Gaps and Design Intent\n \n07:15 Two Paths for AI Design\n \n10:15 Raven Grasshopper Breakthrough\n \n13:17 Pushing Parametric Complexity\n \n20:28 Limits of Black Box Optimization\n \n22:40 Toolpath and Material Transfer\n \n26:18 Alloy Discovery and Qualification\n \n28:05 3MF Role Teaser\n \n28:18 3MF Format Overview\n \n29:17 Smarter Toolpath Extensions\n \n32:31 Metadata for AI Training\n \n35:43 Data Ownership and Synthetic Data\n \n39:59 AI Impact on Additive\n \n44:10 Workforce and Reshoring\n \n47:22 What Is CDFAM\n \n49:49 CDFAM Audience and Format\n \n51:43 DC Event and Government\n \n54:05 Wrap Up and Thanks\n\n ","thumbnail_url":"https://img.transistorcdn.com/27ZYLdyZ8MHWZlxUWh87sIQyB5ttPhwcP3_CmUBDsv0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzE2NDk0LzE3MDU5/NDgwMjItYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}