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3D打印参数对丙烯腈-丁二烯-苯乙烯粘弹性行为的影响:分数阶微积分建模与统计优化

Effect of 3D Printing Parameters on the Viscoelastic Behavior of Acrylonitrile Butadiene Styrene: Fractional Calculus Modeling and Statistical Optimization.

作者信息

Rentería-Baltiérrez Flor Y, Puente-Córdova Jesús G, Hernández-Ramos Juan M, Aguilar-Villarreal Arlethe Y, Mohamed-Noriega Nasser

机构信息

Faculty of Chemical Sciences, Universidad Autónoma de Nuevo León, Pedro de Alba s/n, San Nicolás de los Garza 66455, Nuevo León, Mexico.

Faculty of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León, Pedro de Alba s/n, San Nicolás de los Garza 66455, Nuevo León, Mexico.

出版信息

Polymers (Basel). 2025 Jun 13;17(12):1650. doi: 10.3390/polym17121650.

DOI:10.3390/polym17121650
PMID:40574178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12197250/
Abstract

This study addresses the challenge of optimizing the viscoelastic performance of acrylonitrile butadiene styrene (ABS) parts manufactured by fused deposition modeling (FDM), where printing parameters strongly influence mechanical properties. The objective was to systematically evaluate the effects of four key factors-infill pattern, build orientation, layer height, and filament color-on storage modulus, damping factor, and glass transition temperature. A combined experimental design approach was employed: Taguchi's L9 orthogonal array efficiently screened parameter effects, while response surface methodology (RSM) enabled detailed analysis of interaction effects and multiresponse optimization. Results revealed that build orientation and layer height had the greatest impact, increasing instantaneous stiffness (Eu) by up to 81%, equilibrium modulus (E0) by 128%, and glass transition temperature (Tg) by 1.46%, while decreasing the damping factor (tan δ) by 3.4% between optimized and suboptimal conditions. To complement the statistical optimization, the fractional Zener model (FZM) was applied to characterize the viscoelastic response of two representative samples optimized for either high stiffness or high flexibility. The flexible sample exhibited a higher fractional order (α=0.24), indicating enhanced elastic mobility, while the stiff sample showed a higher activation energy (Ea=0.52 eV), consistent with restricted molecular motion. This integrated approach provides a robust and generalizable framework for improving material performance in polymer additive manufacturing.

摘要

本研究应对了优化通过熔融沉积成型(FDM)制造的丙烯腈-丁二烯-苯乙烯(ABS)零件的粘弹性性能这一挑战,其中打印参数对机械性能有很大影响。目标是系统评估四个关键因素——填充图案、构建方向、层高和丝材颜色——对储能模量、阻尼因子和玻璃化转变温度的影响。采用了一种组合实验设计方法:田口的L9正交阵列有效筛选参数效应,而响应面方法(RSM)能够详细分析交互效应和多响应优化。结果表明,构建方向和层高影响最大,在优化条件和次优条件之间,瞬时刚度(Eu)提高了81%,平衡模量(E0)提高了128%,玻璃化转变温度(Tg)提高了1.46%,同时阻尼因子(tan δ)降低了3.4%。为补充统计优化,应用分数阶齐纳模型(FZM)来表征针对高刚度或高柔韧性优化的两个代表性样品的粘弹性响应。柔性样品表现出更高的分数阶(α = 0.24),表明弹性流动性增强,而刚性样品表现出更高的活化能(Ea = 0.52 eV),这与分子运动受限一致。这种综合方法为改善聚合物增材制造中的材料性能提供了一个强大且可推广的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/c42ee5c545bd/polymers-17-01650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/ad04e7162603/polymers-17-01650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/be986cf0517e/polymers-17-01650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/ea59ce80c91a/polymers-17-01650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/dcf540a58648/polymers-17-01650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/1a2947132bba/polymers-17-01650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/7168d84d08a7/polymers-17-01650-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/0209de44a7b1/polymers-17-01650-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/3d6a74e43718/polymers-17-01650-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/c42ee5c545bd/polymers-17-01650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/ad04e7162603/polymers-17-01650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/be986cf0517e/polymers-17-01650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/ea59ce80c91a/polymers-17-01650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/dcf540a58648/polymers-17-01650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/1a2947132bba/polymers-17-01650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/7168d84d08a7/polymers-17-01650-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/0209de44a7b1/polymers-17-01650-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/3d6a74e43718/polymers-17-01650-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/12197250/c42ee5c545bd/polymers-17-01650-g009.jpg

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