## 5 Conclusions  
This study aims to enhance the forming quality of complex structural components prepared using the SLM method, improve the energy utilization efficiency of SLM-based turbine pump processing, and reduce part manufacturing costs. Through simulation-based calculations, this paper analyzes the thermal deformation generated during the fabrication process of turbine pump impellers. It investigates the energy utilization efficiency of turbine pump impellers manufactured using the SLM method. The mapping relationships between parameters such as laser power and scanning speed and the generation of thermal deformation and energy utilization efficiency are derived. The following conclusions have been drawn:  
1. With a constant laser power, increasing the laser scanning speed leads to a reduction in the thermal deformation of the part, exhibiting an approximately linear relationship.
2. When the scanning speed remains unchanged and the laser power is increased, the thermal deformation of the part also increases and eventually stabilizes.
3. Within a certain range of laser power, increasing the scanning speed can enhance energy utilization efficiency and shorten the printing time simultaneously.
4. Keeping the scanning speed constant while increasing the laser power might lead to a decrease in energy utilization efficiency. This can result in stronger thermal accumulation and an increase in thermal deformation of the formed part.
5. The maximum thermal deformation of the turbine pump impeller occurs at the edge of the base. Thus, in the actual manufacturing process, increasing the thickness of the base appropriately can ensure sufficient mechanical performance.  
The limitations of this study include the following aspects. Firstly, the influence of recoil pressure and the Marangoni effect on the flow of the molten pool has not been considered. Secondly, the study primarily focuses on thermal conduction and thermal convection, while neglecting the impact of thermal radiation on energy utilization efficiency. In future research, we will address these shortcomings and conduct focused investigations to enhance the accuracy of simulation results. This effort aims to provide solid theoretical support for the preparation of complex components using the SLM method.  
Conceptualization, [PERSON] and Y.W. ([PERSON]); methodology, [PERSON]; software (Additive 2021), [PERSON]; validation, [PERSON], [PERSON] and F.W.; formal analysis, [PERSON] ([PERSON]); investigation, [PERSON]; resources, [PERSON]; data curation, [PERSON] ([PERSON]); writing--original draft preparation, [PERSON] ([PERSON]); writing--review and editing, [PERSON]; visualization, [PERSON]; supervision, [PERSON]; project administration, [PERSON]; funding acquisition, [PERSON] All authors have read and agreed to the published version of the manuscript.  
This research was funded by National Natural Science Foundation of China (grant number 52205110 and 52305544), the Project of Guangdong Science and Technology Innovation Strategy (grant number STKJ2021177 and STKJ202209065), and the STU Scientific Research Foundation for Talents (grant number NTF20019 and NTF20014).  
Not applicable.  
The authors declare no conflict of interest.