Prianto, Eko and Herianto, Herianto and Herliansyah, Muhammad Kusumawan (2024) Optimization of Wax Model Printing using a DLP 3D Printer for Castable Wax Resin material. In: The 10th International Conference on Engineering, Technology, and Industrial Application (ICETIA 2023), 7-8 December 2023, Swiss-Belinn Saripetojo, Solo, Central Java, Indonesia.
e3sconf_icetia2024_05022.pdf - Published Version
Restricted to Registered users only
Download (2MB) | Request a copy
Abstract
Wax material can be used to make craft items as models that are printed using 3D printing. Custom and mass production processes for craft items can be carried out according to customer needs. This research aims to find the best process parameters in optimising the wax printing process as a printed model using 3D Printing DLP technology to have the best dimensional accuracy, geometric accuracy, and surface roughness. The method used is a design of experiment with factors in the form of exposure time and layer thickness, each of which has three levels to produce the best response: dimensional accuracy, geometry, and surface roughness. The research results show that print parameters with an exposure time value of 16 seconds and a layer thickness of 0.06 are the best experiments in producing dimensional accuracy of the print results. This is indicated by the smallest shrinkage percentage value of 0.41. Meanwhile, to obtain smooth print results with minimal defects, printing is carried out with an exposure time parameter of 14 seconds with a layer thickness of 0.06 mm. © 2024 EDP Sciences. All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Cited by: 0; All Open Access, Gold Open Access, Green Open Access |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering > Mechanical and Industrial Engineering Department |
| Depositing User: | Rita Yulianti Yulianti |
| Date Deposited: | 08 Jul 2025 05:47 |
| Last Modified: | 08 Jul 2025 05:47 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/13196 |
