Analysis of Injection Molding Defects in Material Forming and Control Engineering
Abstract
As one of the most critical and widely applied plastic processing technologies in material forming and control engineering, injection
molding directly impacts product performance and reliability across diverse industries including automotive, electronics, medical devices,
and home appliances. This study systematically analyzes common defects in injection molding by examining their characteristics and causes
within the framework of material forming and control engineering. Through research from four core dimensionsmaterials, molds, processes,
and equipmentthe paper proposes targeted optimization strategies. The findings demonstrate that effective defect reduction can be achieved
through proper material selection with pre-treatment, optimized mold design, precise process parameter control, and enhanced equipment
maintenance, thereby significantly improving both product quality and manufacturing stability.
molding directly impacts product performance and reliability across diverse industries including automotive, electronics, medical devices,
and home appliances. This study systematically analyzes common defects in injection molding by examining their characteristics and causes
within the framework of material forming and control engineering. Through research from four core dimensionsmaterials, molds, processes,
and equipmentthe paper proposes targeted optimization strategies. The findings demonstrate that effective defect reduction can be achieved
through proper material selection with pre-treatment, optimized mold design, precise process parameter control, and enhanced equipment
maintenance, thereby significantly improving both product quality and manufacturing stability.
Keywords
Injection molding; Defect analysis; Process optimization; Mold design; Material selection
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[1] Dai Zhipeng, Chen Xin, Liu Yishan, et al. Analysis and Treatment of Defects in Plastic Injection Molding [J]. Modern Industrial Economy and Informatization, 2022, 12(07):259-260+262.
[2] Bai Yingbo, Wen Genbao, Yang Jianshi. Analysis and Solutions for Defects in Injection-Molded Components [J]. Rubber & Plastic
Technology and Equipment, 2021, 47(02):55-59.
[3] Tang Guangheng, Deng Haibo, and Tang Dachang. Research on Multi-dimensional Defect Detection in Plastic Molding Based on Computer Vision [J]. Plastic Science and Technology, 2020, 48(07):48-51.
DOI: http://dx.doi.org/10.70711/cstm.v3i2.8446
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