注塑成型工艺中加工温度对工程热塑性塑料间粘合强度影响的实验研究

Ali Özel, Emrecan Soylemez
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引用次数: 0

摘要

由于多组分注塑成型能够降低生产成本和简化工艺流程,因此该行业正在经历增长。然而,与单组分注塑相比,多组分注塑会产生多种工程聚合物交汇的界面区域。因此,了解并提高这些聚合物的粘合强度性能至关重要。本研究采用两次双组分注塑和包覆成型技术,对聚合物-聚合物多材料成型的粘合强度进行了研究。研究还强调了模具温度和熔体温度等注塑工艺参数对聚碳酸酯(PC)、聚碳酸酯-丙烯腈-丁二烯-苯乙烯(PC-ABS)、丙烯腈-丁二烯-苯乙烯(ABS)和乙烯-丁二烯-苯乙烯(SEBS)粘合强度的影响。拉伸强度结果显示,双注射法产生的界面强度最高,比单一材料硬质塑料的参考值低约 10 兆帕。两种注塑顺序的包覆成型样品的结果表明,熔融温度低的材料是粘合强度更好的第一注塑部件。根据 CAE 数值模拟和聚合物玻璃转化温度得出的界面温度函数,推导出了用于估算粘附强度的经验方程。拟议方程的 R2 值大于 0.96。这个根据经验推导出的方程式将作为多重注塑制造工艺的指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental Investigation of Processing Temperature Effect on Adhesive Bond Strength Between Engineering Thermoplastics in the Plastic Injection Molding Process
Multi-component injection molding industry is experiencing a growth due to its ability to reduce production costs and streamline processes. However, compared to single injection, multi-component injection molding introduces interface regions where multiple engineering polymers meet. Consequently, it is essential to comprehend and enhance the adhesive bonding strength properties of these polymers. This study investigates the adhesive bond strength of polymer–polymer multi-material molding using two-shot bi-injection and overmolding techniques. The research also emphasizes the influence of injection molding process parameters of mold temperature and melt temperature on the adhesive bond strength of polycarbonate (PC), polycarbonate-acrylonitrile butadiene styrene (PC-ABS), acrylonitrile butadiene styrene (ABS), and styrene ethylene butadiene styrene (SEBS). Tensile strength results revealed that bi-injection method yields the highest interface strength, approximately 10 MPa lower than the reference value for single-material hard-hard plastics. Results from overmolded samples for both injection sequences are presented, indicating that material with low melting temperature was found to be the first injected part for better adhesion strength. Empirical equations for estimating adhesion strength were derived as a function of interface temperature obtained from CAE numerical simulations and polymer glass transition temperatures. The proposed equation achieved R2 values greater than 0.96. This empirically derived equation will serve as a guide for multi-injection manufacturing processes.
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