Hydraulic performance prediction and optimization of an engine cooling water pump using computational fluid dynamic...

Area of Science:

• Mechanical Engineering
• Fluid Dynamics
• Automotive Engineering

Background:

• Engine cooling water pumps are critical for thermal management.
• Optimizing hydraulic performance enhances efficiency and reliability.
• Computational Fluid Dynamics (CFD) is a powerful tool for pump design.

Purpose of the Study:

• To predict and optimize the hydraulic performance of an engine cooling water pump.
• To improve pump efficiency and head through design modifications.
• To validate CFD simulation models with experimental data.

Main Methods:

• Utilized CFD analysis for hydraulic performance prediction.
• Conducted an optimization study on the pump design.
• Selected and validated the best optimized design through experimental testing.

Main Results:

• The original pump achieved a head of 3.87 m, shaft power of 66.7 W, and efficiency of 23.09%.
• Optimized designs showed significant improvements: Design No.1 increased efficiency by ~6%, Design No.2 increased head by ~9%.
• The selected optimized design (No.3) demonstrated good agreement with experimental data (2.9% head discrepancy, 5.5% efficiency discrepancy).

Conclusions:

• CFD analysis and automatic optimization models are effective for engine cooling water pump design.
• The optimized pump design provides a theoretical basis for future development.
• This research contributes to enhancing the performance of engine cooling systems.