CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm

Area of Science:

• Mechanical Engineering
• Fluid Dynamics
• Artificial Intelligence

Background:

• Centrifugal pumps are critical in various industries, but optimizing their performance (head, efficiency, power) is complex.
• Traditional design methods often struggle with multi-objective optimization challenges.
• Improving pump performance is essential for energy efficiency and operational cost reduction.

Purpose of the Study:

• To develop and validate a novel approach for enhancing centrifugal pump performance.
• To optimize key design parameters affecting pump head, efficiency, and power.
• To address the complexities of multi-objective optimization in centrifugal pump design.

Main Methods:

• An optimal numerical model was established considering pump efficiency and head.
• An artificial intelligence (AI) algorithmic approach was applied to pump design.
• Key parameters including casing area, impeller interference, and volute tongue geometry were analyzed.

Main Results:

• The AI-driven optimization successfully improved centrifugal pump performance metrics.
• The study identified optimal ranges for design parameters, influencing safety and displacement.
• The developed method effectively handled the multi-objective optimization problem.

Conclusions:

• The proposed AI approach offers a robust solution for centrifugal pump performance enhancement.
• Optimizing specific design parameters leads to significant improvements in head, efficiency, and power.
• This methodology provides a pathway for more efficient and effective pump design.