Precision Enhancement in Tough Polylactic Acid Material Extrusion: A Systematic Response Surface Investigation for Sustainable Manufacturing

M. Moradi, M. Rezayat, Saleh Meiabadi, A. R. Fakhir, M. Shamsborhan, Giuseppe Casalino, M. Karamimoghadam
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Abstract

This research systematically explores the significant impact of geometrical dimensions within fused deposition modeling (FDM), with a focus on the influence of raster angle and interior fill percentage. Through meticulous experimentation and the application of response surface modeling (RSM), the influence on critical parameters such as weight, length, width at ends, width at neck, thickness, maximum load, and elongation at tensile strength is thoroughly analyzed. The study, supported by ANOVA, highlights the notable effects of raster angle and interior fill percentage, particularly on width at ends, width at neck, and thickness. During the optimization phase, specific parameters—precisely, a raster angle of 31.68 and an interior fill percentage of 27.15—are identified, resulting in an exceptional desirability score of 0.504. These insights, substantiated by robust statistical data, fill a critical gap in the understanding of 3D-printed parts, offering practical recommendations for superior mechanical performance across diverse applications.
提高韧性聚乳酸材料挤压的精度:面向可持续制造的系统响应面研究
本研究系统地探讨了熔融沉积建模(FDM)中几何尺寸的重要影响,重点是光栅角度和内部填充百分比的影响。通过细致的实验和响应面建模(RSM)的应用,深入分析了对重量、长度、两端宽度、颈部宽度、厚度、最大载荷和拉伸强度伸长率等关键参数的影响。在方差分析的支持下,研究突出了光栅角度和内部填充百分比的显著影响,尤其是对两端宽度、颈部宽度和厚度的影响。在优化阶段,确定了特定的参数--准确地说,光栅角为 31.68,内部填充率为 27.15,从而获得了 0.504 的优异可取分。这些见解得到了可靠统计数据的证实,填补了人们对 3D 打印部件认识的一个重要空白,为各种应用领域的卓越机械性能提供了切实可行的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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