As an application and case study focused talk, this presentation outlines a validated workflow to go from a CAD model into injection-molded PE, PP, TPE, TPU, ABS parts within a single shift using 3D-printed ceramic mold inserts.
The session focuses on the enabling hardware, material selection, end-to-end process steps from printing through molding, and practical tradeoffs required to produce functional parts without secondary machining or mold sintering. The printing platform described combines DLP and a laser with an adaptive separation mechanism to deliver high throughput and consistent surface finish.
Two examples, first an $80 insert set was printed in approximately 1 hour and produced about 300 polycarbonate parts within a total 7.5-hour production window.
In another example a $220 mold insert was used to print a set of twelve-inch inserts was printed in roughly 7 hours and supported iterative design cycles reaching final design within two weeks.
The talk details the measured capabilities of the process, required post-processing and molding controls, including light spray washing, optional thermal conditioning, recommended mold coatings and handling practices to avoid over-washing and microcracking.
The presentation contrasts printed ceramic inserts with traditional metal tooling in terms of lead time, iteration cost, and scope for design experimentation, identifies common failure modes and mitigations, and concludes with a practical checklist and decision criteria for adoption.
Attendees will receive actionable guidance to design printed inserts, evaluate return on investment, and run a production pilot batch.
Learning Objectives:
Participants will be able to specify the print, post-process, and molding parameters required to move from CAD into an injection-molded part within a single shift using ceramic inserts.
Evaluate the tradeoffs between printed ceramic inserts and traditional metal tooling and apply a decision checklist to assess when printed inserts are the appropriate for rapid iteration or low-volume production.
Will be able to identify the tools needed for this process.
