Simulation Study on the Energy Utilization Efficiency of a Turbine Impeller Based on a Selective Laser Melting Process
Open accessAbstract
In this paper, a simulation model for Selective Laser Melting (SLM) technology is established to simulate the additive manufacturing process of a turbine impeller for an aerospace engine. By utilizing the simulation model, variations in laser power and scanning speed are employed to obtain simulated results of thermal deformation for the turbine impeller under different laser power and scanning speed conditions. The results indicate that the thermal deformation of the component increases with the augmentation of laser power, decreases with the escalation of scanning speed, and eventually stabilizes. Based on the relationship between thermal deformation and energy, the energy utilization efficiency of the SLM process under different conditions is calculated. The findings demonstrate that, within a certain range of power, the synergistic effect of laser power and scanning speed allows for an increase in energy utilization efficiency and a reduction in processing time while ensuring the mechanical performance of the formed parts. Consequently, this approach proves effective in lowering production costs for complex components based on SLM technology.
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The maximum deformation in 3D-printed turbines typically occurs at the base edge.
“Additionally, studies on thermal deformation show that the maximum deformation in 3D-printed turbines typically occurs at the base edge [73].”
From Towards Sustainability in Hydraulic Machinery Manufacturing by 3D Printing (2024) · cites this paper as [73]
The Conclusions state that maximum thermal deformation of the studied turbine pump impeller occurs at the edge of the base. The claim extends that finding to 3D-printed turbines generally by saying it 'typically' occurs there; this broader pattern is not established by the cited passage. (LLM, conf=0.86)
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Research works printed but not linked: 33
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Towards Sustainability in Hydraulic Machinery Manufacturing by 3D Printing
Remache, A., Pérez-Sánchez, M., Hidalgo, V. H., Ramos, H. M., & Sánchez-Romero, F.-J. (2024) · Processes · doi:10.3390/pr12122664 · Cited by 9 · see citing works
- Authors
- Guo, J., Wang, Y., Wang, Y., Peng, S., & Wang, F.
- Affiliations
- Shantou University (CN)
- Corresponding author
- Peng, Shitong
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2023-09-25
- Volume
- 13
- Issue
- 19
- Pages
- 10657
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W4387053249
- Cited by
- 3
- References
- 0
- Citations by year
- 2025: 1 · 2024: 2
- FWCI
- 0.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (52205110, 52305544, STKJ2021177, STKJ202209065, NTF20019, NTF20014)
- Project of Guangdong Science and Technology Innovation Strategy (52205110, 52305544, STKJ2021177, STKJ202209065, NTF20019, NTF20014)
- STU Scientific Research Foundation for Talents (52205110, 52305544, STKJ2021177, STKJ202209065, NTF20019, NTF20014)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Additive Manufacturing Materials and Processes
- Physical Sciences › Engineering › Automotive Engineering › Additive Manufacturing and 3D Printing Technologies
- Physical Sciences › Engineering › Computational Mechanics › Laser and Thermal Forming Techniques
- Keywords
- laser powder bed fusion, turbine impeller, energy use efficiency, thermal deformation, laser power, scanning speed, additive manufacturing process simulation, aerospace engine components, computation time reduction, production cost reduction
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