PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 3, 2026International Journal of Metalcasting1 citationsOpen Access

Assessing the Use of 3D Printed Patterns for Use in Investment Casting

AWAmal D. WooldridgeADAlan P. Druschitz

Key Points

  • The aim is to evaluate the use of 3D printed patterns in investment casting to improve precision and reduce waste.
  • Compared patterns made from two filaments: polylactic acid (PLA) and PolyCast.
  • Printed four different patterns varying in shape and infill settings.
  • Created ceramic molds using the shell method of investment casting.
  • Sintered molds and poured gray iron into them to assess casting quality.
  • PolyCast molds showed less damage after pattern burn-out compared to PLA molds.
  • 3D printing reduced material waste associated with traditional wax patterns.
  • Increased precision of castings observed with 3D printed patterns.

Abstract

Abstract Foundries commonly use wax to create patterns for investment casting. Wax use can lead to material waste and increase the time needed to produce parts, as wax patterns frequently need to be corrected, often by hand. Utilizing 3D printed patterns offers the opportunity to increase the precision of castings as well as reduce material waste, especially within smaller scale operations with custom patterns. Two filaments, polylactic acid (PLA) and PolyCast, were compared. For this investigation, four patterns of differing shape and infill were printed using both filaments. Using the shell method of investment casting, a ceramic mold was created from the patterns. These molds were sintered and poured using gray iron. Throughout this process, the molds and final casting were observed to assess the differences between each type of filament and their viability for investment casting, with less damage observed on the PolyCast molds once the pattern was burned out.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wooldridge et al. (2026) studied this question.

synapsesocial.com/papers/69cf5e2e5a333a821460c581https://doi.org/10.1007/s40962-026-01948-w
Ask AI
Helpful
Bookmark
Share
View Full Paper