采用田口法优化搅拌铸造竹叶茎灰增强铝基复合材料的冲击韧性

Dagim Asegid Tirfe , Atalay Alemayehu , Meseret Ewnetu , Bonsa Regassa Hunde , Abraham Debebe Woldeyohannes
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摘要

汽车工业越来越重视轻量化和吸能结构,特别是汽车保险杠和车身框架等耐碰撞部件,由于其优越的机械性能,铝基复合材料引起了人们的兴趣。研究了搅拌铸造竹叶茎灰(BLSA)增强Al6061的冲击韧性。采用田口L27正交法对搅拌速度、搅拌时间、叶片数、BLSA重量分数等关键铸造参数进行优化。采用方差分析(ANOVA)评估参数的影响。在500 rpm, 5 min, 3个叶片,5.0 % BLSA的条件下,获得了最佳的冲击能量吸收。方差分析结果表明,搅拌速度是最主要的影响因素(54.67 %),其次是叶片数(31.24 %)、强化分数(7.42 %)和搅拌时间(2.72 %)。回归模型表明,冲击韧性与增加速度、叶片数量和BLSA百分比呈正相关,达到最佳水平。在这些点之外,出现了负相关。验证测试表明,实验值与预测值之间的一致性非常好,误差范围为5.472 %。本研究介绍了一种绿色、经济的增强材料,并强调优化工艺参数以提高吸能性能,从而促进金属基复合材料结构耗能应用的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing the impact toughness of stir-casted bamboo leaf stem ash reinforced aluminum matrix composite using Taguchi method
The automotive industry's increasing emphasis on lightweight and energy-absorbing structures, particularly for crashworthiness components such as vehicle bumpers and body frames, has driven interest in aluminum matrix composites due to their superior mechanical properties. This research explores the enhancement of impact toughness in Al6061 reinforced with Bamboo Leaf Stem Ash (BLSA) fabricated via stir casting. Key casting parameters stirring speed, time, blade count, and BLSA weight fraction were optimized using a Taguchi L27 orthogonal array approach. Analysis of variance (ANOVA) was applied to assess parameter influence. Optimal impact energy absorption was achieved at 500 rpm, 5 min, three blades, and 5.0 % BLSA. ANOVA results identified stirring speed as the most dominant factor (54.67 %), followed by blade count (31.24 %), reinforcement fraction (7.42 %), and stirring time (2.72 %). Regression modeling indicated a positive correlation between impact toughness and increasing speed, blade count, and BLSA percentage up to the optimal levels. Beyond these points, negative correlations emerged. A confirmation test demonstrated close agreement between experimental and predicted values, with a 5.472 % margin of error. This study introduces a green, cost-effective reinforcement and emphasizes process parameter optimization for achieving improved energy absorption performance, thereby contributing to the sustainable development of metal matrix composites for structural energy-dissipating applications.
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