Double-suction pump impeller optimization and performance analysis based on nonlinear programming quadratic Lagrangian algorithm
Jiaqiong Wang,
Hongxu Chen,
Ling Zhou
et al.
Abstract:To reduce the energy consumption of the double-suction pump, this study optimizes the impeller of the pump based on the Nonlinear Programming Quadratic Lagrangian (NLPQL) algorithm in OptiSLang. Taking the weighted efficiency as the optimization objective, 28 design parameters of the impeller are selected as the input variables, 300 groups of sample schemes are generated through the Advanced Latin Hypercubic Sampling method, and an automatic numerical simulation platform is setup to optimize the impeller under… Show more
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