Advanced monitoring and analysis of silicone rubber foaming process using micro-scale injection molding device

被引：0
|
作者：
Cao, Qixin [1 ,2 ]
Zhang, Jiaqiang [2 ]
Duan, Jianbin [2 ]
Fan, Yu [1 ,2 ]
Wang, Yixia [2 ]
Liu, Yu [1 ]
Lu, Ai [2 ]
Yu, Fengmei [2 ]
机构：
[1] Jiangnan Univ, Sch Mech Engn, Wuxi, Peoples R China
[2] China Acad Engn Phys, Inst Chem Mat, Mianyang, Peoples R China
来源：
MATERIALS LETTERS | 2025年 / 382卷
基金：
中国国家自然科学基金;
关键词：
Silicone rubber foams; Injection molding; Foaming process; Cavity pressure; Visualization; GROWTH;
D O I：
10.1016/j.matlet.2024.137921
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In addressing the technical challenges of efficient silicone rubber foam production, this study developed a microscale simulation device specifically for injection molding. This device enabled the comprehensive monitoring of temperature, pressure, and visualization data during the foaming process, leading to the development of a novel and detailed method for characterizing the foaming dynamics. By applying the gas law model and differential analysis, we gained a thorough understanding of the mechanisms underlying the injection molding foaming process for silicone rubber. Furthermore, we successfully fabricated silicone rubber foams with high cell density and uniformly sized cells via injection molding. These findings offer important contributions to the advancement of injection molding technology in the engineering applications of silicone rubber foams.
引用
收藏
页数：5
相关论文
共 50 条
  • [21] Effect of Micro-Scale and Nano-Scale Boron Nitride on Thermal Property of Silicone Rubber Via Experimental and Simulation Method
    Guo Jiang
    Tao Liu
    Kai Liao
    Wen Zhu
    Silicon, 2022, 14 : 1969 - 1978
  • [22] Stormwater Pollutant Process Analysis with Long-Term Online Monitoring Data at Micro-Scale Sites
    Leutnant, Dominik
    Muschalla, Dirk
    Uhl, Mathias
    WATER, 2016, 8 (07):
  • [23] Stormwater pollutant process analysis with long-term online monitoring data at micro-scale sites
    Leutnant D.
    Muschalla D.
    Uhl M.
    Water (Switzerland), 2016, 8 (07)
  • [24] Effect of molecular weight and molding conditions on the replication of injection moldings with micro-scale v-groove features
    Murakami, Osamu
    Kotaki, Masaya
    Hamada, Hiroyuki
    POLYMER ENGINEERING AND SCIENCE, 2008, 48 (04): : 697 - 704
  • [25] Comparative Analysis of Injection Molding Process by On-line Monitoring in Cylinder of Injection Molding Machine and in Cavity of Mold
    Park, Hyung Pil
    Cha, Baeg Soon
    Tae, Jun Sung
    Choi, Jae Hyuk
    Rhee, Byung Ohk
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2010, 34 (10) : 1513 - 1519
  • [26] Development of device for on-line monitoring cavity information during injection molding process
    Zhao, P. (pengzhao@zju.edu.cn), 1600, Huazhong University of Science and Technology (42):
  • [27] Automatic process monitoring with iQ clamp control and machine learning: Intelligent rubber injection molding
    Hutterer, Thomas
    Kerschbaumer, Roman C.
    Berger-Weber, Gerald R.
    Friesenbiehler, Walter
    Klutz, Alexander
    Leng, Thomas
    Mayr, Karlheinz
    Rubber World, 2023, 267 (04): : 36 - 39
  • [28] Visualization and monitoring of the injection molding process using ultrasonic phased array
    Ji, Kaipeng
    Gao, Ruoxiang
    Chen, Hao
    Fu, Jianzhong
    Zhao, Peng
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2024, 326
  • [29] Condition Monitoring Technique for Injection Molding Process by Waveform -Analysis Method
    Fukushima, Yoshio
    Zhao Zongyang
    Sakamoto, Akiko
    Kawada, Naoki
    JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2020, 41 (06): : 799 - 806
  • [30] Numerical simulation and experimental analysis of the sintered micro-parts using the powder injection molding process
    Sahli, M.
    Djoudi, H.
    Gelin, J. -C.
    Barriere, T.
    Assoul, M.
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2018, 24 (03): : 1495 - 1508
12345