Decoding the interplay of mold temperature and catalysts concentration on the crystallinity and mechanical properties of anionic polyamide 6: a combined experimental and statistical approach

IF 4.1 2区 化学 Q2 POLYMER SCIENCE
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Abstract

Anionic polyamide 6 (aPA6), synthesized via the ring-opening polymerization of ε-caprolactam, has emerged as a promising matrix for high-performance thermoplastic composites, offering advantages over conventional thermoplastics and thermosets. However, optimizing the microstructure and mechanical properties of aPA6 requires a comprehensive understanding of how processing conditions influence polymerization kinetics and resulting material characteristics. This work systematically investigates the interplay between two critical processing parameters, i.e., the mold temperature and catalysts concentration, on the microstructural and thermomechanical properties of aPA6, via a combined experimental and statistical approach. Increasing the mold temperature from 145 °C to 175 °C and the catalysts concentration led to a reduction in crystallinity, due to the promotion of polymerization over crystallization. Higher temperatures and concentrations also slightly anticipated thermal degradation onset from 388 °C to 327 °C. The elastic modulus decreased from 3.4 GPa to 2.7 GPa as temperature increased, primarily governed by the diminishing crystallinity. Similarly, the ultimate tensile strength declined from 80 MPa to 68 MPa with rising temperature. Interestingly, the strain at break exhibited a complex dependence, peaking at 48 % for an intermediate temperature of 165 °C and lower catalysts concentration, suggesting an optimal balance of crystallinity, branching, and high molecular weight. Statistical empirical models captured these relationships, enabling prediction and tailoring of aPA6 properties by tuning processing conditions. These insights pave the way for optimized manufacturing of high-performance aPA6 composites via techniques like thermoplastic resin transfer molding and expand potential applications to thermally sensitive reinforcements like natural fibers.

Abstract Image

解读模具温度和催化剂浓度对阴离子聚酰胺 6 结晶性和机械性能的相互影响:实验和统计相结合的方法
阴离子聚酰胺 6(aPA6)是通过ε-己内酰胺的开环聚合反应合成的,已成为高性能热塑性复合材料的理想基体,与传统的热塑性塑料和热固性塑料相比具有更多优势。然而,要优化 aPA6 的微观结构和机械性能,就必须全面了解加工条件如何影响聚合动力学以及由此产生的材料特性。本研究通过实验和统计相结合的方法,系统地研究了模具温度和催化剂浓度这两个关键加工参数对 aPA6 的微观结构和热机械性能的相互影响。将模具温度从 145 °C 提高到 175 °C,并提高催化剂浓度,可降低结晶度,这是由于聚合比结晶更易发生。更高的温度和浓度也略微加快了热降解的发生,从 388 °C 降至 327 °C。随着温度的升高,弹性模量从 3.4 GPa 降至 2.7 GPa,这主要是受结晶度降低的影响。同样,极限拉伸强度也随着温度的升高从 80 兆帕下降到 68 兆帕。有趣的是,断裂应变表现出复杂的依赖关系,在中间温度 165 ℃ 和催化剂浓度较低时,断裂应变达到峰值 48%,这表明结晶度、分支和高分子量之间存在最佳平衡。统计经验模型捕捉到了这些关系,从而能够通过调整加工条件来预测和定制 aPA6 的特性。这些见解为通过热塑性树脂传递模塑等技术优化高性能 aPA6 复合材料的制造铺平了道路,并拓展了天然纤维等热敏增强材料的潜在应用领域。
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来源期刊
Polymer
Polymer 化学-高分子科学
CiteScore
7.90
自引率
8.70%
发文量
959
审稿时长
32 days
期刊介绍: Polymer is an interdisciplinary journal dedicated to publishing innovative and significant advances in Polymer Physics, Chemistry and Technology. We welcome submissions on polymer hybrids, nanocomposites, characterisation and self-assembly. Polymer also publishes work on the technological application of polymers in energy and optoelectronics. The main scope is covered but not limited to the following core areas: Polymer Materials Nanocomposites and hybrid nanomaterials Polymer blends, films, fibres, networks and porous materials Physical Characterization Characterisation, modelling and simulation* of molecular and materials properties in bulk, solution, and thin films Polymer Engineering Advanced multiscale processing methods Polymer Synthesis, Modification and Self-assembly Including designer polymer architectures, mechanisms and kinetics, and supramolecular polymerization Technological Applications Polymers for energy generation and storage Polymer membranes for separation technology Polymers for opto- and microelectronics.
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