Impact of reinforcement proportions on mechanical properties and micro-structure of modified Al2O3-LM6 cast composites synthesize at self-pouring temperature: optimization through mixture design of experiment (DoE)

IF 1.4 Q2 ENGINEERING, MULTIDISCIPLINARY
D. P. Singh, Vijay Kumar Dwivedi, M. Agarwal
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Abstract

Purpose The purpose of this study is to investigate and evaluate the impact of varying proportions of reinforcement on the mechanical properties of a modified Al2O3-LM6 cast composite under self-pouring temperature conditions. This study aims to determine the optimal mixture proportion of fine powders of Al, Si and xAl2O3 (with x values of 2%, 3% and 4%) through the application of design of experiment (DoE) and statistical analysis using the Minitab software. This study also involved evaluating the microstructural estimation and other physical properties of the cast composite to understand the combined effect of the reinforcement proportion on the material’s properties. Design/methodology/approach The researchers initially mixed the powders through ball milling and then compacted the moisture-free powder mix in a closed steel die. The resulting preforms were heated at the self-pouring temperature in an inert environment to fabricate the final cast composite. By applying DoE and performing an analysis of variance (ANOVA), the researchers sought to optimize the mixture proportion that would yield the best mechanical properties. Findings The experimental results indicated that a mixture combination of 83.5% Al blended with 12.5% Si and 4% Al2O3 led to the greatest improvement in mechanical properties, specifically in terms of increased density, hardness and impact strength. The ANOVA further supported the interaction effect of each processing parameter on the observed results. The results of this study offer valuable insights for the fabrication of modified Al2O3-LM6 cast composites under self-pouring temperature conditions. The identified optimal mixture proportion provides guidance for manufacturing processes and material selection to achieve improved mechanical properties in similar applications. Originality/value This study focuses on a specific composite material consisting of modified Al2O3 and LM6. Although Al2O3 and LM6 have been studied individually in various contexts, the combination of these materials and their impact on mechanical properties under self-pouring temperature conditions is a novel aspect of this research. The researchers use DoE methodology, along with statistical analysis using Minitab software, to optimize the mixture proportion and analyze the data. This systematic approach allows for a comprehensive exploration of the parameter space and the identification of significant factors that influence the mechanical properties of the composite.
自浇注温度下合成的改性 Al2O3-LM6 浇注复合材料的增强比例对力学性能和微观结构的影响:通过混合物实验设计(DoE)进行优化
目的 本研究旨在调查和评估在自浇注温度条件下,不同比例的增强材料对改性 Al2O3-LM6 浇注复合材料机械性能的影响。本研究旨在通过应用实验设计(DoE)和 Minitab 软件进行统计分析,确定 Al、Si 和 xAl2O3 细粉(x 值分别为 2%、3% 和 4%)的最佳混合比例。这项研究还包括评估浇铸复合材料的微观结构评估和其他物理特性,以了解增强比例对材料特性的综合影响。 设计/方法/途径 研究人员首先通过球磨混合粉末,然后在封闭的钢模中压实无水分的粉末混合物。然后在惰性环境中以自浇注温度对预型件进行加热,制造出最终的浇注复合材料。通过应用 DoE 和进行方差分析 (ANOVA),研究人员试图优化能产生最佳机械性能的混合物比例。 研究结果 实验结果表明,83.5% 的铝与 12.5% 的硅和 4% 的 Al2O3 混合可最大程度地改善机械性能,尤其是在密度、硬度和冲击强度方面。方差分析进一步证实了各加工参数对观察结果的交互影响。这项研究的结果为在自浇注温度条件下制造改性 Al2O3-LM6 铸造复合材料提供了有价值的见解。确定的最佳混合物比例为制造工艺和材料选择提供了指导,从而在类似应用中获得更好的机械性能。 独创性/价值 本研究侧重于一种由改性 Al2O3 和 LM6 组成的特定复合材料。虽然 Al2O3 和 LM6 已在各种情况下被单独研究过,但这些材料的组合及其在自浇注温度条件下对机械性能的影响是本研究的一个新方面。研究人员采用 DoE 方法,并使用 Minitab 软件进行统计分析,以优化混合物比例并分析数据。这种系统化的方法可以全面探索参数空间,找出影响复合材料机械性能的重要因素。
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来源期刊
World Journal of Engineering
World Journal of Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
4.20
自引率
10.50%
发文量
78
期刊介绍: The main focus of the World Journal of Engineering (WJE) is on, but not limited to; Civil Engineering, Material and Mechanical Engineering, Electrical and Electronic Engineering, Geotechnical and Mining Engineering, Nanoengineering and Nanoscience The journal bridges the gap between materials science and materials engineering, and between nano-engineering and nano-science. A distinguished editorial board assists the Editor-in-Chief, Professor Sun. All papers undergo a double-blind peer review process. For a full list of the journal''s esteemed review board, please see below.
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