A Human-Centric Design Method for Industrial Centrifugal Pump Based on Digital Twin

Abstract

The worldwide demand for customized centrifugal pumps in numerous industries is intensifying steadily, posing significant challenges to the traditional design model characterized by extended design cycles, numerous errors, and elevated development costs. To address these issues, this paper introduces an intelligent collaborative design methodology for industrial centrifugal pumps grounded in digital twin (DT) technology. The methodology aims to handle the diversified types and intricate design requirements of industrial pumps and is specifically tailored to predict pump performance through a detailed multi-physics model. This model encapsulates various physical processes, including fluid dynamics, thermodynamics, and structural mechanics, and incorporates the designer’s professional knowledge and experience to support enhanced decision-making. Furthermore, the application of intelligent parametric models has facilitated the interconnected design of pump components. This advancement has led to significant improvements such as shortening production cycles, reducing errors and costs, and enhancing design efficiency and quality. Consequently, the paper demonstrates that adopting this intelligent collaborative design approach can greatly benefit the industrial centrifugal pump sector by meeting the growing customization demands with increased efficiency and precision. These findings underscore the potential of DT technology in revolutionizing traditional pump design methodologies, advancing the intelligent progression of industrial centrifugal pump design and manufacturing, and satisfying the expanding demands of the global manufacturing industry.