Numerical Simulation and Process Optimization of Injection‐Molded Silicone Rubber Cable Joints for High‐Voltage Applications

ABSTRACT The injection molding process critically affects the mechanical reliability of 110 kV silicone rubber cable intermediate joints. In this study, a 3D geometric model based on the actual joint cross‐section was established and applied to insert injection molding simulations. An orthogonal experimental design combined with range analysis and analysis of variance (ANOVA) was used to quantify the effects of key process parameters on flow behavior, viscosity, and volume shrinkage. The results show that melt temperature predominantly controls the flow front temperature and maximum viscosity, with contribution ratios of 87.89% and 75.72%, respectively, while mold surface temperature is the primary factor governing both maximum and average volume shrinkage rates, contributing up to 98.63%. At a significance level of 0.01, packing time is identified as the only parameter with a statistically significant effect on average volume shrinkage, and interaction analysis indicates that only the flow front temperature is sensitive to the interaction between melt and mold surface temperatures. A comprehensive evaluation using the entropy weight method yields an optimal parameter combination: mold surface temperature 470 K, melt temperature 285 K, packing pressure 80%, packing time 12 s, and curing time 30 s. These findings provide quantitative guidance for high‐quality molding of high‐voltage silicone rubber joints.

Authors

Institutions

Publication Details

Journal
Macromolecular Theory and Simulations
Published
2026-01-28
DOI
https://doi.org/10.1002/mats.202500116
Primary Topic
Injection Molding Process and Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Simulation and Process Optimization of Injection‐Molded Silicone Rubber Cable Joints for High‐Voltage Applications

Kai Yang, Benhong Ouyang, Shao‐Long Zhong, Yu‐Xiao Liu et al.
Macromolecular Theory and Simulations
Injection Molding Process and Properties
article

Numerical Simulation and Process Optimization of Injection‐Molded Silicone Rubber Cable Joints for High‐Voltage Applications

Kai Yang, Benhong Ouyang, Shao‐Long Zhong, Yu‐Xiao Liu, Kaiwen Huang, Zhi‐Min Dang, Qi‐Ze Han
article en

Abstract

ABSTRACT The injection molding process critically affects the mechanical reliability of 110 kV silicone rubber cable intermediate joints. In this study, a 3D geometric model based on the actual joint cross‐section was established and applied to insert injection molding simulations. An orthogonal experimental design combined with range analysis and analysis of variance (ANOVA) was used to quantify the effects of key process parameters on flow behavior, viscosity, and volume shrinkage. The results show that melt temperature predominantly controls the flow front temperature and maximum viscosity, with contribution ratios of 87.89% and 75.72%, respectively, while mold surface temperature is the primary factor governing both maximum and average volume shrinkage rates, contributing up to 98.63%. At a significance level of 0.01, packing time is identified as the only parameter with a statistically significant effect on average volume shrinkage, and interaction analysis indicates that only the flow front temperature is sensitive to the interaction between melt and mold surface temperatures. A comprehensive evaluation using the entropy weight method yields an optimal parameter combination: mold surface temperature 470 K, melt temperature 285 K, packing pressure 80%, packing time 12 s, and curing time 30 s. These findings provide quantitative guidance for high‐quality molding of high‐voltage silicone rubber joints.

Macromolecular Theory and SimulationsVol. 35(2)
Electric Power Research Institute (US), State Grid Corporation of China (China) (CN), Tsinghua University (CN)
Openalex Percentile: Top 74%
Injection Molding Process and Properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Numerical Simulation and Process Optimization of Injection‐Molded Silicone Rubber Cable Joints for High‐Voltage Applications — Kai Yang, Benhong Ouyang, et al. · Macromolecular Theory and Simulations (2026) | TGRS Research Map | TGRS