Co-optimization method for composite profile gear pump with installation size constraints

By introducing a tooth profile closure verification mechanism and a size penalty term into the optimization of the composite tooth profile gear pump, the problems of geometric pseudo-solution and size pseudo-optimization in the prior art are solved, realizing efficient collaborative optimization of the gear pump, ensuring the manufacturability and performance authenticity of the optimization results, and improving the accuracy of flow pulsation assessment.

CN122413618APending Publication Date: 2026-07-17ANHUI UNIVERSITY OF ARCHITECTURE

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ANHUI UNIVERSITY OF ARCHITECTURE
Filing Date
2026-06-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing optimization methods for composite gear pumps suffer from geometric pseudo-solutions, dimensional pseudo-optimizations, and distorted performance evaluation models. This results in optimization results that cannot be assembled into actual gear pump entities, and the assessment of flow pulsation is inaccurate, making it difficult to achieve effective synergistic optimization of displacement and pulsation.

Method used

An optimization algorithm is adopted, which combines a tooth profile closure verification mechanism and a size penalty term. The gear pump parameters are iteratively optimized by minimizing the objective function value to ensure effective geometric closure and the accuracy of performance evaluation. The flow pulsation assessment is based on the effect of helix angle filtering, and a size penalty is applied to limit the gear size from exceeding the housing limit.

Benefits of technology

The optimization results were made manufacturable and feasible, ensuring the meshing smoothness and volumetric sealing of the gear pump. The gear pump was made lightweight and had high power density, improving the accuracy of performance evaluation and the robustness of the algorithm, and solving the problem of algorithm non-convergence under extreme working conditions.

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Abstract

本申请公开了一种受安装尺寸约束的复合齿廓齿轮泵协同优化方法,涉及齿轮泵设计与优化领域,该方法采用优化算法以最小化目标函数值为优化目标对齿轮泵的目标变量进行迭代优化;在迭代过程中,针对由目标变量构成的每一组候选参数组合执行如下步骤:通过齿形闭合核验机制判断由候选参数组合生成的候选复合齿廓是否能够几何有效闭合;若是,则通过第一目标函数计算候选参数组合对应的目标函数值;若否,则通过第二目标函数计算候选参数组合对应的目标函数值。旨在解决现有复合齿廓齿轮泵优化设计方法中存在的几何伪解、尺寸伪优化以及性能评价模型失真等问题。
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