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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

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Numerical simulation of closed plastic impeller molding process and its parameter optimization.

Mingyue Fang¹, Zhaozhe Zhu², Zhendong Zhang³

¹Anhui Institute of Information Technology, Wuhu, 241100, Anhui, China. 2021010629@aiit.edu.cn.

Scientific Reports

|October 15, 2022

Summary

This summary is machine-generated.

This study optimized compression molding parameters for closed plastic impellers to minimize warping and shrinkage. Mathematical models and a GA-BP neural network identified optimal process conditions for improved impeller performance.

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Area of Science:

Polymer Engineering
Materials Science
Manufacturing Processes

Background:

Closed plastic impellers are prone to warping deformation and volume shrinkage during manufacturing.
Optimizing compression molding process parameters is crucial for achieving desired impeller dimensions and performance.

Purpose of the Study:

To optimize compression molding process parameters for closed plastic impellers.
To minimize warpage deformation and volume shrinkage.
To establish a predictive model for process parameters.

Main Methods:

Theoretical derivation of pressing pressure for cylindrical cavities and closed plastic impellers.
Extreme difference analysis to determine the influence of process parameters on warpage and shrinkage.
Development of a GA-BP neural network model for parameter prediction.
Multi-objective optimization using the NSGA-II algorithm.

Main Results:

Calculated optimal pressing pressure to be 15 MPa.
Identified process parameter combinations that minimize warpage deformation and shrinkage rates.
Developed a functional predictive model for compression molding parameters.
Obtained a set of optimal process parameters for simultaneous minimization of warpage and shrinkage.

Conclusions:

Compression molding process parameters significantly influence warpage and shrinkage in plastic impellers.
The GA-BP neural network model effectively predicts optimal parameters.
The study provides a method for achieving optimal warpage and shrinkage in closed plastic impeller manufacturing.