Study on the cold weld line defect in injection molding based on visualization technology

doi:10.19491/j.issn.1001-9278.2008.12.015

China Plastics ›› 2008, Vol. 22 ›› Issue (12): 67-70 .DOI: 10.19491/j.issn.1001-9278.2008.12.015

Previous Articles Next Articles

Study on the cold weld line defect in injection molding based on visualization technology

LI Wei;GUO Kui;CHEN Hong; YANG Wei-min

1.School of Mechanical and Electrial Engineering,Beijing University of Chemical Technology,Beijing 100029,China;2.No. 220 Mailbox,Beijing 100072,China;3.Beijing Zhongfang Haitian Dye & Weave Technology Co.,Ltd.,Beijing 100026,China

Received:2008-06-26 Revised:1900-01-01 Online:2008-12-26 Published:2008-12-26

Abstract

Abstract: By virtue of visualization equipment in injection molding, three kinds of cavities were constructed. Under certain conditions, the forming process of weld line defect was observed. Via studying the forming mechanism, the weld line defect was eliminated or reduced by improving packaging pressure, melt temperature, and injection velocity. The study results could provide theoretical basis for investigating and avoiding product defects in injection molding process.

Key words: injection molding, visualization, weld line, defect

CLC Number:

TQ320.66⁺2

LI Wei, GUO Kui, CHEN Hong, YANG Wei-min. Study on the cold weld line defect in injection molding based on visualization technology[J]. China Plastics, 2008, 22(12): 67-70 .

[1]	HU Xuechuan, FANG Jiahao, LI Youbing, ZHOU Jianjun, LI Li, ZHANG Jixiang, DENG Yajun, LIU Yuan. Injection defect analysis and molding optimization of high⁃gloss grille for an automobile [J]. China Plastics, 2022, 36(9): 70-73.
[2]	XU Yuxuan, DANG Kaifang, FU Nanhong, JIAO Xiaolong, XIE Pengcheng, YANG Weimin. Research progress in adaptive optimization technology for injection molding process [J]. China Plastics, 2022, 36(9): 180-186.
[3]	WANG Xiaodong, WANG Quan, CHEN Tuo, ZHENG Yue. Optimization of multi⁃objective parameters for double color injection⁃molding based on grey relational analysis and entropy weight method [J]. China Plastics, 2022, 36(7): 115-120.
[4]	LIU Yi, SUN Wei, QU Guoxing, WANG Ye, YUAN Ning, YANG Shaolin, XU Xia, CHANG Xiaoyi, ZHANG Yufei. Structure and performance analysis of transparent polypropylene special material for thin⁃wall injection molding [J]. China Plastics, 2022, 36(7): 37-43.
[5]	DENG Shixin, WANG Jian, YANG Weimin. Simulation and analysis of fluid high⁃pressure and high⁃speed collision in mixing head cavity of enhanced reaction injection molding machine [J]. China Plastics, 2022, 36(6): 130-136.
[6]	SUN Wenbo, XIN Chunling, HE Yadong, ZHAI Yujiao, YAN Baorui. Influence of micro⁃foaming injection molding process on cell structure of glass⁃fiber⁃reinforced PBT products [J]. China Plastics, 2022, 36(5): 1-7.
[7]	HE Yi, ZHAO Guanghui. Research progress in repairing and reinforcement of oil and gas pipeline with composites [J]. China Plastics, 2022, 36(4): 70-82.
[8]	ZHAI Yujiao, XIN Chunling, HE Yadong, YAN Baorui, QIAO Linjun. Study on process parameters for filling process of polypropylene microcellular injection molding under supercritical N₂ [J]. China Plastics, 2022, 36(3): 69-74.
[9]	LIU Ganhua, TANG Naifu, MA Ruiwu. Multi⁃objective optimization for MIM process parameters of equal⁃distance spiral bevel gear [J]. China Plastics, 2022, 36(3): 96-103.
[10]	ZHANG Xiang, YAN Zhenhao, KONG Xiaoya, ZHU Jianxiao, GUAN Guotao, ZHAO Na, LI Qian. Study on structural optimization of disc screw in micro injection machine [J]. China Plastics, 2022, 36(2): 147-156.
[11]	ZHAI Yujiao, XIN Chunling, HE Yadong, YAN Baorui, QIAO Linjun. Study on surface quality optimization of microfoaming injection⁃molded products [J]. China Plastics, 2022, 36(2): 19-26.
[12]	HUANG Wei, LIU Hesheng, HUANG Xingyuan, ZHANG Wei, KUANG Tangqing, CHEN Zhongshi. Study on high⁃pressure water penetration behavior of square cross⁃sectional pipes based on short⁃glass⁃fiber⁃reinforced polypropylene [J]. China Plastics, 2022, 36(2): 82-88.
[13]	REN Lihui, LI Fuzhu, WANG Yun, DAI Yachun, YANG Hui, XU Zhenying. Multi⁃objective optimization of injection molding quality based on TOPSIS⁃grey relational analysis [J]. China Plastics, 2022, 36(2): 96-102.
[14]	ZHENG Fangli, FU Nanhong, JIAO Xiaolong, YANG Weimin, XIE Pengcheng. Research progress in applications and optimization of artificial intelligence technology in injection molding parameters setting [J]. China Plastics, 2022, 36(1): 84-91.
[15]	QIAO Linjun, XIN Chunling, HE Yadong, ZHAI Yujiao, YAN Baorui. Visualization Study on Gas Injection Process of A New Type of Micro⁃foaming Gas Injector [J]. China Plastics, 2021, 35(9): 128-135.

Study on the cold weld line defect in injection molding based on visualization technology

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments