FDM 출력물의 표면 품질 향상을 위한 정삭 후가공 시 적층 및 정삭 공정 조건 사이의 상관관계 분석Analysis of Correlation between FDM Additive and Finishing Process Conditions in FDM Additive-Finishing Integrated Process for the Improved Surface Quality of FDM Prints
- Other Titles
- Analysis of Correlation between FDM Additive and Finishing Process Conditions in FDM Additive-Finishing Integrated Process for the Improved Surface Quality of FDM Prints
- Authors
- 유지원; 정형진; 박재형; 이동훈
- Issue Date
- Feb-2022
- Publisher
- 한국정밀공학회
- Keywords
- Additive manufacturing; Fused decomposition modeling; Surface roughness; Finishing process; 적층 제조; 용착 조형 공정; 표면 조도; 정삭 공정
- Citation
- 한국정밀공학회지, v.39, no.2, pp.159 - 165
- Journal Title
- 한국정밀공학회지
- Volume
- 39
- Number
- 2
- Start Page
- 159
- End Page
- 165
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/41744
- DOI
- 10.7736/JKSPE.021.114
- ISSN
- 1225-9071
- Abstract
- In this paper, when the finishing process is performed on the additive by FDM type, the optimal parameter set of the additive-finishing design parameters to improve the surface quality and the verification of the finishing effect are described. Additive design parameters such as nozzle diameter and layer height and finishing design parameters such as depth of cut and feed rate have a significant influence on the printing time and surface roughness of the sculpture. So, we define the major additive-finishing design parameters expected to affect the results. So, we define the major additive-finishing design variables that expected to affect the experimental results. And to confirm how much they affect the results with the minimum number of experiments, the sensitivity analysis of the design parameters was performed through the level average analysis of the Taguchi method. As a result, compared to the surface roughness and additive time when only highquality sculpture was performed, and it was confirmed that the printing time improved up to 70% and the surface roughness improved up to 87% for the additive-finishing sculpture performed with the optimal combination of design parameters.
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