Influence of Cooling Water Arrangement on Cooling Time in Injection Molded PP Sheet Parts Using Moldex3D Software

MA Qiang, FU Lu-xiang, LI Jin-ming

PDF(1168 KB)
PDF(1168 KB)
Plastics Science and Technology ›› 2024, Vol. 52 ›› Issue (09) : 121-125. DOI: 10.15925/j.cnki.issn1005-3360.2024.09.023
Computer Aided Technology

Influence of Cooling Water Arrangement on Cooling Time in Injection Molded PP Sheet Parts Using Moldex3D Software

Author information +
History +

Abstract

In order to investigate the effect of waterway arrangement on cooling efficiency, an empirical formula between the number of waterways and cooling time was established. Based on the design of the water-cooling system under traditional processing conditions, the paper takes polypropylene (PP) sheet injection molded parts with a size of 200 mm×100 mm×2.24 mm as the research object. NX UG10.0 was used for 3D modeling of PP sheet injection parts, and then Moldex 3D analysis software was used for finite element analysis of different waterway number and spacing combinations. After comparing the cooling time calculated based on the empirical formula of cooling system design with that simulated by Moldex 3D analysis software, the empirical formula between the number of waterways and the cooling time is derived. The formula takes the number of waterways and the distance between waterways as independent variables, and the cooling time as dependent variable. The results show that under the premise of considering only the number of waterways and the distance between waterways,when the number of waterways is 30 and the distance is 22 mm, the expected requirement is best met. At the same time, it is found that the change of effective heat transfer area has a significant effect on the cooling efficiency, while the change of waterway distance has no significant effect on the cooling efficiency.

Key words

Water-cooling system / Empirical formula / NX UG10.0 / Moldex 3D / Effective heat transfer area

Cite this article

Download Citations
MA Qiang , FU Lu-xiang , LI Jin-ming. Influence of Cooling Water Arrangement on Cooling Time in Injection Molded PP Sheet Parts Using Moldex3D Software. Plastics Science and Technology. 2024, 52(09): 121-125 https://doi.org/10.15925/j.cnki.issn1005-3360.2024.09.023

References

1
国家统计局.2020中国统计年鉴[J].北京:中国统计出版社,2020.
2
苑爱峰.注塑模具的随形冷却水道设计与应用研究[D].北京:中国矿业大学,2022.
3
刘其南,林权,李俊杰,等.基于Moldex3D的常规水路与异型水路设计对注塑成型质量影响研究[J].中央民族大学学报:自然科学版,2020,29(4):38-44.
4
钟璞,黄可.基于Moldflow的汽车尾灯壳体注塑参数优化[J].现代塑料加工应用,2020,32(4):44-47.
5
唐春华,张斌,李军利.叶轮注塑模具随形冷却水道设计与分析[J].塑料,2022,51(3):133-136.
6
王旭,文建洲,朱传林,等.塑料注塑模具中的冷却控制系统设置[J].河南科技,2021,40(8):59-61.
7
钱欣,金样福.塑料注射制品缺陷与CAE分析[M].北京:化学工业出版社,2010.
8
皮帅,张继祥,冯伟,等.注塑模具随形冷却水道冷却效能分析[J].塑料,2022,51(6):88-93, 112.
9
傅超,黄瑶.基于灰色关联度的灯罩注塑模具冷却系统优化[J].现代塑料加工应用,2023,35(2):43-46.
10
谭小红,张晓东,陈小英.精密内齿轮的注塑模具随形冷却优化研究[J].现代塑料加工应用,2021,33(3):48-51.
11
王君.薄壁注塑模具设计中有限元分析软件的应用[J].内燃机与配件,2021(23):223-224.
12
李兆东,袁文生,原政军.注塑模具温度分布规律的研究及应用[J].山东建筑工程学院学报,2006(2):170-172.
13
陈世煌.陈可娟.塑料注射成型模具设计[M].北京:国防工业出版社,2007.
14
李晓微,邓玉梅,吴丽霞.基于Moldflow的汽车冷却风扇注塑模具优化设计[J].南方农机,2023,54(6):124-127, 133.
15
王静,宣佳敏,陈川,等.注塑模具随形水路自动化设计[J].工程塑料应用,2023,51(4):91-96.
16
吴俊超.基于Moldflow的汽车仪表板大型塑件注塑模工艺优化[J].中国塑料,2021,35(12):121-128.
17
郭东海,冯涛,段国庆,等.基于SLM成形随形冷却水道注塑模具的应用[J].电加工与模具,2017(6):42-45.
18
卯声松,张矿伟,郑绪东,等.基于Moldflow的注塑模具冷却系统有限元分析[J].铸造,2019,68(12):1407-1410.
19
韩艳艳,于智宏.基于Moldflow的台面框注塑模冷却系统分析[J].河南机电高等专科学校学报,2011,19(5):8-10.
20
余玲,张诗.利用Moldflow软件优化注塑模的冷却系统[J].工程塑料应用,2011,39(1):78-81.
21
陈碧龙.模具设计原则、要点及实例解析[M].北京:机械工业出版社,2010.
22
荣星,陈亚洲,蔡部林,等.相机结构件复合抽芯模具结构及冷却系统设计[J].塑料,2021,50(6):98-103.
23
于智宏.基于CAE台面框注塑模具CAD设计的优化[J].塑料科技,2013,41(9):71-74.
24
盛松梅.基于UG和Moldflow儿童手机的注塑模具设计[J].智库时代,2017(9):157-158.
25
刘亚丹,邹锐锐,吴烨.基于逆向工程和随形冷却技术的行车灯灯壳建模和模具冷却系统设计[J].制造技术与机床,2019(6):176-179.
26
汤小东.基于CAE开口管件注塑模具冷却系统的研究与分析[J].塑料科技,2016,44(12):55-58.
27
马兆强,王传奇.基于Moldflow的汽车座椅护板模具优化设计[J].模具工业,2022,48(3):55-60.
28
宋山,李志永,柴明霞,等.基于Moldflow的饮水机出水口开关注塑模具冷却水路的优化设计[J].塑料,2022,51(4):46-51, 65.
29
STELSON K A. Calculating cooling times for polymer injection moulding[J]. Journal of Engineering Manufacture, 2002, DOI:10.1243/095440503322011443.

Comments

PDF(1168 KB)

Accesses

Citation

Detail

Sections
Recommended

/