Investigating Rapid Thermoform Tooling Via Additive Manufacturing (3d Printing)
Gene Haeberle1 & Salil Desai1 Show affiliations
- Department of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, United States
American Journal of Applied Sciences, Volume 16, Issue 8, pp. 238–243 · doi.org/10.3844/ajassp.2019.238.243
Abstract
Additive Manufacturing (AM) has matured from a prototyping tool to a soft production tooling in recent years. This research elaborates the role of AM technology (3D printing) in the design, prototyping and development of a rapid thermoform tooling. The Fused Deposition Modeling (FDM) 3D printer was implemented to fabricate thermoform tooling in Polypropylene Styrofoam (PPSF). We contrast the additively manufactured thermoform tooling with conventional tooling using computerized numerical control (CNC) machines. Findings showed that the additive thermoform tooling with PPSF was found to be (1) faster in development time, (2) comparable in quality and (3) lower in total cost. However, the (4) tool yield was 50% less than traditional tooling and production cycle times were 25-50% longer to allow for the additive tooling to cool. This research explores the fabrication thermoform tooling for low-volume environments using additive manufacturing (3D Printing) technology.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Haeberle, G. & Desai, S. (2019). Investigating Rapid Thermoform Tooling Via Additive Manufacturing (3d Printing). American Journal of Applied Sciences, 16(8), 238–243. https://doi.org/10.3844/ajassp.2019.238.243
- Licence
- CC BY 3.0
- Issue
- Volume 16, Issue 8
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
