稻壳增强PLA复合材料熔丝成形参数的多目标优化

Milind Patil , Mugdha Dongre , D.N. Raut , Ajinkya Naik
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引用次数: 0

摘要

熔丝制造(FFF)是一种突出的增材制造技术,擅长于制造复杂和尺寸稳定的部件。在聚乳酸(PLA)复合材料中加入天然填料,包括稻壳纤维(RF),提高了材料的力学性能和可持续性。本研究考察了FFF工艺参数和RF填料分数对RF/PLA复合材料力学特性的影响,以确定理想的打印条件。RF/PLA复合材料采用熔体混合挤出和FFF打印生产,其中RF负荷为1.0 wt%, 3.0 wt%和5.0 wt%。研究了层厚、喷嘴温度和材料含量对拉伸和弯曲特性的影响。利用TOPSIS从不同的响应中得到一个奇异值-多属性性能指数(MAPI)。理想参数- 0.2 mm层厚,190℃喷嘴温度,1 % rf -产生优异的力学性能,材料百分比占总属性的75 %。本研究阐明了RF作为PLA复合材料FFF增强材料的可行性,强调了工艺参数对力学性能的影响。这些发现对于优化fff打印的天然纤维复合材料至关重要,因为它们有潜力创造出具有最佳效率的创新、环境可持续的产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective optimization of fused filament fabrication (FFF) parameters for rice husk reinforced PLA composites
Fused Filament Fabrication (FFF) is a prominent additive manufacturing technique adept at creating intricate and dimensionally stable components. The integration of natural fillers, including rice husk fibers (RF), in polylactic acid (PLA) composites improves mechanical characteristics and sustainability. This study examines the influence of FFF process parameters and RF filler fraction on the mechanical characteristics of RF/PLA composites to identify the ideal printing conditions. RF/PLA composites were produced using melt mixing extrusion and FFF printing, incorporating RF loadings of 1.0 wt%, 3.0 wt%, and 5.0 wt%. The impact of layer thickness, nozzle temperature, and material percentage on tensile and flexural characteristics was examined. A singular value—multi-attribute performance index (MAPI) was derived from the diverse responses utilizing TOPSIS. The ideal parameters—0.2 mm layer thickness, 190°C nozzle temperature, and 1 % RF—produced superior mechanical performance, with material percentage accounting for 75 % of the total attributes. This study illustrates the feasibility of RF as a reinforcement in PLA composites for FFF, emphasizing the impact of process parameters on mechanical performance. The findings are crucial and relevant for optimizing FFF-printed natural fiber composites, since they have the potential to create innovative, environmentally sustainable products with optimal efficiency.
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