首页|基于数字孪生的多级离心泵模型降阶与检验

基于数字孪生的多级离心泵模型降阶与检验

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为了探讨非设计工况下的二阶仿真方法以及数字孪生实时仿真交互的可行性，以14级离心泵为研究对象，运用拉丁超立方抽样法随机选取样本工况点，训练出满足均方根误差(RMS)小于1％精度条件的多级离心泵数字孪生稳态ROM。通过对比内部流场压力、速度和涡旋结构的分布，检验了 ROM与FOM数值模拟结果的一致性。研究结果显示，基于正交分解方法训练的多级泵ROM能够准确且迅速地预测和计算特定工况点下的扬程和内部流场压力分布。叶轮附近的平均相对误差小于2％，足以满足实际应用中快速仿真的需求。ROM的叶轮转子-定子界面速度分布与FOM相符，但在大速度梯度区域对速度变化的敏感度不足。随着训练样本的增多，精度逐步提高。ROM能够准确估计叶轮大尺度涡旋的形状，然而由于在模型降阶过程中高阶信息的省略，ROM所得到的涡旋边缘较FOM计算结果更为平滑且体积较小，平均相对误差约为-7。8％。本研究验证了 POD方法ROM在离心泵内部流场中的有效性，并为流体机械领域数字孪生的构建和实时仿真奠定了计算基础。
Model order reduction and validation of multi-stage centrifugal pump based on digital twin
In order to study the second-order simulation method under non-design operating conditions and explore the feasibility of real-time simulation interaction of digital twins,a 14-stage centrifugal pump was used as the research object,the Latin hypercube sampling method was adopted to select sample operating points randomly,and a multi-stage centrifugal pump digital twin steady-state ROM was trained that satisfied the root mean square(RMS)error accuracy condition of less than 1％.The consistency between the ROM and the FOM numerical simulation results was tested by comparing the distribution of internal flow field pressure,velocity,and vortex structure.The research results demon-strate that the multi-stage pump ROM trained based on the proper orthogonal decomposition method can accurately and quickly predict and calculate the head and internal flow field pressure distribution under specific operating points.The average relative error near the impeller is less than 2％,which is suffi-cient to meet the needs of fast simulation in practical applications.The velocity distribution at the im-peller rotor-stator interface of ROM is consistent with that of the FOM,but the sensitivity to velocity changes in the area with large velocity gradients is insufficient.As the number of training samples in-creases,the accuracy gradually improves.ROM can accurately estimate the shape of large-scale vortices in the impeller,but due to the omission of high-order information during the model reduction process,the vortex edge obtained by ROM is smoother and smaller in volume than the FOM calculation results,with an average relative error of about-7.8％.This study verifies the effectiveness of the POD method ROM in the internal flow field of a centrifugal pump and establishes a computational foundation for the construction and real-time simulation of digital twins in the field of fluid machinery.

multi-stage centrifugal pumpdigital twinsreduced-order modelproper orthogonal decompositionflow field analysis

马斯卓、李伟、苏保才、宋伟、季磊磊、杨巧月、杨万运

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江苏大学国家水泵及系统工程技术研究中心,江苏镇江 212013

开滦集团有限责任公司设备管理中心,河北唐山 063000

济宁安泰矿山设备制造有限公司,山东济宁 272300

多级离心泵 数字孪生 降阶模型 本征正交分解 流场分析

国家重点研发计划项目国家自然科学基金国际合作重点项目国家自然科学基金资助项目中国博士后科学基金资助项目江苏省"一带一路"创新合作项目江苏省农业科技自主创新项目

2020YFC151240552120105010521790852022TQ0127BZ2020068CX202037

2024

10.3969/j.issn.1674-8530.23.0086

排灌机械工程学报
中国农业机械学会排灌机械分会,江苏大学流体机械工程技术研究中心

排灌机械工程学报

CSTPCD北大核心
影响因子：1.055
ISSN：1674-8530
年,卷(期)：2024.42(10)
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