Jiangsu Haifa Machinery Manufacturing Co., Ltd.

The chemical pump industry is currently undergoing rapid upgrading, and traditional experience-based impeller design can no longer adapt to complex refining and chemical operating conditions such as high temperature, high pressure, easy vaporization, and impurity-containing media. Relying on AI intelligent algorithms and CFD flow field simulation technology, centrifugal pump impeller design has officially entered a new stage of three-dimensional parametric and multi-objective precise optimization, becoming a core technical direction for improving the quality and efficiency of high-end API610 chemical process pumps. The industry mainstream uses artificial intelligence multi-objective optimization to iteratively optimize core parameters such as impeller blade inlet angle, outlet angle, wrap angle, impeller diameter, and outlet width, combined with cavitation entropy generation analysis and pressure pulsation verification, effectively solving the pain points of traditional pumps such as high net positive suction head required, low operating efficiency, high vibration and noise, and poor adaptability to operating conditions. At present, new structures such as long and short splitter blades, bionic three-dimensional blades, and impellers dedicated to gas-liquid two-phase conditions have been widely used in the upgrading and development of high-temperature and high-pressure centrifugal pumps, refining and chemical process pumps, and-cavitation chemical pumps. Jiangsu Haifa Machinery Manufacturing Co., Ltd.www.jslgpump.com), on the Taizhou-Temperature and High-Pressure Pump Engineering Research Center, has long been deeply engaged in the hydraulic research and development of API610 series pumps, focusing on the customized optimization of impellers for the full series of chemical pumps including OH2, BB2, BB5, and VS6. The company combines CFD full-domain flow field simulation, cavitation prediction, fluid-structure interaction strength verification, and rotor dynamics analysis to customize low-NPSHr, high-efficiency, and high-stability three-dimensional blade impellers for harsh operating conditions such as crude oil, high-temperature molten salt, hydrogenation media, and easily crystallizing chemical materials. By optimizing the impeller inlet flow pattern, balancing axial hydraulic loads, and reducing medium retention and pressure pulsation, it greatly improves the anti-cavitation capability, operating energy efficiency, and long-term stability of chemical pumps, effectively adapting to industrial scenarios such as petrochemical, coal chemicals, and energy refining and chemicals, realizing the engineering implementation of intelligent hydraulic design technology, and empowering the upgrading of high-end domestically produced chemical pumps. References: Yuan Shouqi et al., "Research Progress on Artificial Intelligence-Driven Hydraulic Optimization of Centrifugal Pumps," of Drainage and Irrigation Machinery Engineering, Vol. 44, No. 8, 2026, systematically discussing the application of artificial neural networks, process regression, genetic algorithms, particle swarm optimization, etc. in the intelligent design of centrifugal pumps. Xu Guang et al., "Analysis of Energy Loss and Pressure Pulsation Characteristics of Centrifugal Pumps with Long and Short Blade Impellers," Pump Technology, No. 4, 6. The study shows that the 7+7 long and short blade scheme can increase head and reduce some pressure pulsation. "-Objective Optimization Design of Parameters for Gas-Liquid Two-Phase Centrifugalumps," June 2026, using genetic algorithms to optimize key parameters such as impeller, outlet width, and outlet angle. English literature: Wang K. et al., Optimizing cavitation performance of a centrifugal pump: A hybrid approach of combining Random Forest and feature selection, Energy, 2026. The study combines random forest, selection, cavitation entropy generation, andGA-II; after optimization, NPSH3% decreased by 3.89%, and efficiency increased by about 2.54%. A multi-stage kriging-based approach for cavitation optimization in centrifugaleller design, 202, using the Kriging surrogate model and multi-stage optimization to optimize impeller cavitation performance. Numerical assessment of the cavitation-induced impeller-volute interaction in a centrifugal pump, European Journal of Mechanics - B/Fluids, 6, focusing on un impeller-volute coupling and bubble dynamics under cavitation conditions.