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工程设计学报
Chin J Eng Design  2023, Vol. 30 Issue (4): 495-502    DOI: 10.3785/j.issn.1006-754X.2023.00.058
Mechanical Optimization Design     
Distributed co-simulation and dynamic optimization of axial piston pump based on FMI
Zhimin GUO1,4(),Haishu DAI2,3,Jiang ZHAI1,4,Haocen HONG2,3,Baicun WANG2,3(),Haibo XIE2,3,Huayong YANG2,3
1.Linde Hydraulic (China) Co. , Ltd. , Weifang 261205, China
2.State Key Laboratory of Fundamental Components of Fluid Power and Mechatronic systems, Zhejiang University, Hangzhou 310058, China
3.Institute of Advanced Machines, Zhejiang University, Hangzhou 311106, China
4.Weichai Power Co. , Ltd. , Weifang 261205, China
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Abstract  

The co-simulation method can be used to analyze the kinematics, dynamics performance and hydraulic system characteristics of piston pump in real time, which can be widely used in the design and optimization of piston pump products. A distributed co-simulation of axial piston pump based on functional mock-up interface (FMI) was proposed to address the shortcomings of high discretization of analysis and optimization and low efficiency in traditional optimization processes. By developing automatic optimization components, the iterative optimization of key structural parameters of damping groove was achieved. Firstly, kinematics and dynamics analysis was carried on the piston pump shaft system, and the motion model and force model of the piston pump shaft system were established to determine the constraint relationship of shaft system components; secondly, a co-simulation model of the piston pump was established to study the motion, force, and deformation characteristics of the piston pump; then, a distributed co-simulation model of the piston pump was built based on cloud server, and heterogeneous scheduling of each simulation software was achieved through FMI technology; finally, based on cloud platform architecture, an optimization calculation template for the damping groove of piston pump was developed, achieving the solution of the optimal structural parameters of the damping groove and its automatic model creation. The simulation results showed that after optimizing the damping groove structure, the outlet flow pulsation rate of the piston pump was reduced by 35.78%. The proposed method can effectively improve the efficiency of simulation and optimization, and reduce the workload of research and development personnel.

Key words： axial piston pump      distributed modeling      hybrid modeling      dynamic optimization     
Received: 28 June 2023      Published: 04 September 2023
CLC:  TP 137.51  
Corresponding Authors: Baicun WANG,Huayong YANG     E-mail: krdp_pump20@foxmail.com;baicunw@zju.edu.cn
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Zhimin GUO
Haishu DAI
Jiang ZHAI
Haocen HONG
Baicun WANG
Haibo XIE
Huayong YANG
Cite this article:

Zhimin GUO,Haishu DAI,Jiang ZHAI,Haocen HONG,Baicun WANG,Haibo XIE,Huayong YANG. Distributed co-simulation and dynamic optimization of axial piston pump based on FMI. Chin J Eng Design, 2023, 30(4): 495-502.

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https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2023.00.058     OR     https://www.zjujournals.com/gcsjxb/Y2023/V30/I4/495


基于FMI的轴向柱塞泵分布式联合仿真与动态优化

运用联合仿真的方法能够实时分析柱塞泵的运动学、动力学性能以及液压系统特性，其可广泛应用于柱塞泵产品的设计与优化。针对传统优化过程中分析与优化的离散化、效率低等不足，提出了一种基于功能模型接口（functional mock-up interface，FMI）的轴向柱塞泵分布式联合仿真方法，通过开发自动优化组件，实现对阻尼槽结构参数的迭代优化。首先，进行柱塞泵轴系运动学、动力学分析，建立其运动模型和受力模型，来确定轴系组件的约束关系；其次，搭建了柱塞泵联合仿真模型，研究了柱塞的运动、受力和变形特性；然后，基于云端服务器搭建了柱塞泵分布式联合仿真模型，通过FMI技术实现了各个仿真软件的同步调用；最后，基于云平台架构，开发了柱塞泵阻尼槽优化设计模板，实现了对阻尼槽最优结构参数的求解及其模型自动创建。仿真结果表明，阻尼槽结构优化后，柱塞泵出口流量脉动率降低了35.78%。所提出的方法能有效提高仿真与优化的效率，减轻研发人员的工作负担。


关键词： 轴向柱塞泵,  分布式建模,  混合建模,  动态优化 
Fig.1 Schematic diagram of piston movement of axial piston pump
Fig.2 Force analysis of axial piston pump with piston located at the external dead center
参数量值参数量值
柱塞直径22 mm分布圆半径45 mm
死区容积15 cm3柱塞角距40°
等效节流直径15 mm柱塞油膜间隙30 μm
配流油膜间隙20 μm柱塞偏心距0.015 mm
出/入口压力2 MPa滑靴油膜间隙30 μm
泵壳压力0.5 MPa节流系数0.76
油液密度875 kg/m3体积弹性模量1 100 MPa
Table 1 Main structural parameters of axial piston pump
Fig.3 Dynamic model of axial piston pump
Fig.4 Simulation model of hydraulic system of axial piston pump
Fig.5 Co-simulation analysis template component of axial piston pump
Fig.6 Displacement and velocity curve of piston centroid
Fig.7 Deformation nephogram of piston and sliding shoe
Fig.8 Flow and pressure curves of a single piston chamber
Fig.9 Pump outlet flow and pressure curves
Fig.10 Pump outlet flow curve with different cylindrical groove diameters
Fig.11 Structure of damping groove
Fig.12 Optimization design component of valve plate
Fig.13 Comparison of pump outlet flow before and after optimization
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