OPTIMIZING 3D PRINTING PROCESSES BY APPLYING THE TAGUCHI METHOD FOR ENHANCED EFFICIENCY
The objective to be achieved in this research is to minimize the energy consumption and production time of the 3D printing process so that it will increase the effectiveness and efficiency during the printing process. One of the well-known methods for reducing production time and energy consumption is to decrease the temperature and nozzle diameter on the 3D printer controlled by the proposed system. Research aims for offers a comparison of experimental data in manufacturing using 3D printing technology. Experimental design use of two factors with three levels in ANSI standard subjected to the L-9 Taguchi method table. Although, the nozzle position on the 3D printer rack has shown that position two can minimize energy consumption and printing time to 0.09715 Wh or 0.34934 kJ/L and 22 min 20 s. The smallest dimensional error occurred 2.6 mm and a maximum of 5.41 mm was positioned at point two. Besides the number of filament in the head on 1.8 g affected the dimensional error at nozzle position two. But the difference in filament weight with a difference in the number of presented no effect on the dimensional error. Improving AM efficiency has also been reported in some works associated with embedded systems; however, relatively little has been done specifically on improving 3DP efficiency. A newly proposed 3DP control system, which can facilitate control of temperature, speed, and nozzle position, was used to exploit the capabilities of the 3DP process by increasing efficiency. A key parameter (number of filaments) is controlled by an embedded system (proposed), and the other most important parameter (nozzle position) is directly controlled by the operator. Subsequently, to prove the potential of the Taguchi method, six objective functions were measured before performing a comparative study.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-28
- DOI
- https://doi.org/10.5281/zenodo.17217530
- Primary Topic
- Library Science and Administration
- Type
- article
- Field-Weighted Citation Impact
- 0.00