에너지 밀도 및 분말 증착 밀도를 고려한 직접 에너지 증착법 기반 Ti-6Al-4V 합금의 적층공정 최적화
Additive Manufacturing Optimization of Directed Energy Deposition-Processed Ti-6Al-4V Alloy using Energy Density and Powder Deposition Density
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
The process optimization of directed energy deposition (DED) has become imperative in the manufacture of reliable products. However, an energy-density-based approach without a sufficient powder feed rate hinders the attainment of an appropriate processing window for DED-processed materials. Optimizing the processing of DEDprocessed Ti-6Al- 4V alloys using energy per unit area (Eeff) and powder deposition density (PDDeff) as parameters helps overcome this problem in the present work. The experimental results show a lack of fusion, complete melting, and overmelting regions, which can be differentiated using energy per unit mass as a measure. Moreover, the optimized processing window (Eeff = 44~47 J/mm2 and PDDeff = 0.002~0.0025 g/mm2) is located within the complete melting region. This result shows that the Eeff and PDDeff-based processing optimization methodology is effective for estimating the properties of DED-processed materials.
Abstract
The process optimization of directed energy deposition (DED) has become imperative in the manufacture of reliable products. However, an energy-density-based approach without a sufficient powder feed rate hinders the attainment of an appropriate processing window for DED-processed materials. Optimizing the processing of DEDprocessed Ti-6Al- 4V alloys using energy per unit area (Eeff) and powder deposition density (PDDeff) as parameters helps overcome this problem in the present work. The experimental results show a lack of fusion, complete melting, and overmelting regions, which can be differentiated using energy per unit mass as a measure. Moreover, the optimized processing window (Eeff = 44~47 J/mm2 and PDDeff = 0.002~0.0025 g/mm2) is located within the complete melting region. This result shows that the Eeff and PDDeff-based processing optimization methodology is effective for estimating the properties of DED-processed materials.
참고문헌 (20)
- Titanium and Titanium Alloys: Fundamentals and Applications, "M. Peters", ~ (2003)
- M. J. Donachie, "Titanium: A Technical Guide", pp.369~ (2000), ASM International
- Z. M. Wang, , J. Mater. Process. Technol, 68, pp.262~ (1997)
- R. M. Mahamood, , Lasers Manuf. Mater. Process, 3, pp.9~ (2016)
- P. Ferro, , Int. J. Adv. Manuf. Tech, 110, pp.1911~ (2020)
- J. Han, , Rapid Prototyping. J, 23, pp.217~ (2017)
- M. Z. Anna, , Metals-Basel, 12, pp.2331~ (2019)
- L. Thijs, , Acta Mater, 58, pp.3303~ (2010)
- W. Xu, , JOM, 67, pp.668~ (2015)
- X. Tian, , J. Eur. Ceram. Soc, 29, pp.1903~ (2009)
- H. Gong, , Solid Free. Fabr. Symp., pp.256~ (2014)
- L. C. Zhang, , Key. Eng. Mater, 520, pp.226~ (2012)
- A. Simchi, , Mater. Sci. Eng. A, 428, pp.148~ (2006)
- Tao Peng, "Influence of Energy Density on Energy Demand and Porosity of 316L Stainless Steel Fabricated by Selective Laser Melting", International Journal of Precision Engineering and Manufacturing-Green Technology, 5(1), pp.55~62 (2018), 한국정밀공학회[DOI]
- J. D. Majumdar, , Sadhana-Acad. P. Eng. S, 28, pp.495~ (2003)
- J. H. Lee, , Korean Society of Laser Process, 2, pp.34~ (1999)
- Z. Xiang, , Results Phys, 9, pp.939~ (2018)
- S. F. Corbin, , Mater. Sci. Eng. A, 354, pp.48~ (2003)
- A. Emamian, , Surf. Coat. Technol, 205, pp.2007~ (2010)
- D. Nursyifaulkhair, , J. Weld. Join, 37, pp.579~ (2019)