Prediction of process parameters of water‐assisted injection molding based on inverse radial basis function neural network-Reference-Cited by-同舟云学术

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Prediction of process parameters of water‐assisted injection molding based on inverse radial basis function neural network

Published:2020-09-30 Issue:12 Volume:60 Page:3159-3169
ISSN:0032-3888
Container-title:Polymer Engineering & Science
language:en
Short-container-title:Polym Eng Sci

Author:

Yang Jiangen¹^ORCID,Yu Shengrui²

Affiliation:

1. Engineering Science and Technology Department Shanghai Ocean University Shanghai China

2. Mechanical and Electronic Engineering Department Jingdezhen Ceramic Institute Jingdezhen China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,General Chemistry,Materials Chemistry,Polymers and Plastics,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pen.25544

Reference29 articles.

1. Enhanced orientation of the water-assisted injection-molded ipp in the presence of nucleating agent

2. Model and simulation of water penetration in water-assisted injection molding

3. Effect of processing parameters on water penetration in water assisted injection molding of ABS

4. The influence of processing parameters on fingering formation in fluid-assisted injection-molded disks

5. The Influence of Melt and Process Parameters on the Quality and Occurrence of Part Defects in Water-assisted Injection Molded Tubes

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimental and numerical investigations on formation mechanisms of hollow structures in overflow water‐assisted injection‐molded parts of short‐glass‐fiber‐reinforced polypropylene;Journal of Applied Polymer Science;2024-06-24

2. Study of overflow effects on flow‐induced stress in injection molding;Polymer Engineering & Science;2023-11-10

3. Intelligent recommendation system of the injection molding process parameters based on CAE simulation, process window, and machine learning;The International Journal of Advanced Manufacturing Technology;2023-09-04

4. Intelligent recommendation system of injection molding process parameters based on CAE simulation, process window and machine learning;2023-05-04

5. Numerical and experimental investigations on the mechanism of flow‐induced fiber orientation in short‐shot water‐assisted injection‐molded short‐glass‐fiber‐reinforced polypropylene;Journal of Applied Polymer Science;2022-03-26

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