Parveez Bisma, Jamal Nur Ayuni, Maleque Md Abdul, Rozhan Alya Naili, Aabid Abdul, Baig Muneer
Department of Manufacturing and Materials Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia.
Department of Engineering Management, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia.
Materials (Basel). 2023 Jan 18;16(3):921. doi: 10.3390/ma16030921.
The compressive properties of powder metallurgy (PM)-based porous aluminum (Al) composites were optimized at three levels based on the following parameters: titanium (Ti)-coated diamond content, polymethylmethacrylate (PMMA) particle content, and PMMA particle size. A 3 × 3 matrix was used in the experimental design of an L9 orthogonal array to get nine sets of combinations. These nine compositions were then tested and analyzed for density, porosity, plateau stress, and energy absorption capacity. The effect of individual input parameters was assessed using the Taguchi-based means ratio and analysis of variance (ANOVA). The main effect plots articulated the optimal parameter levels for achieving maximum compressive property values (plateau stress and energy absorption capacity). The findings show that diamond content and PMMA particle size have a major impact on compressive properties. The ANOVA analysis yielded similar results, with diamond content accounting for the greatest value. Further, the response optimization of compressive properties revealed that maximum values could be obtained at optimum parameters: diamond content of 12 wt.%, PMMA particle size of 150 μm, and PMMA particle content of 25 wt.%. Confirmation tests on the optimal parameters revealed improved results as well as some minor errors and deviations, indicating that the chosen parameters are critical for controlling the compressive properties of Al composites.
基于粉末冶金（PM）的多孔铝（Al）复合材料的压缩性能基于以下参数在三个水平上进行了优化：钛（Ti）涂层金刚石含量、聚甲基丙烯酸甲酯（PMMA）颗粒含量和PMMA颗粒尺寸。在L9正交阵列的实验设计中使用了3×3矩阵，以获得九组组合。然后对这九种成分进行密度、孔隙率、平台应力和能量吸收能力的测试与分析。使用基于田口方法的均值比和方差分析（ANOVA）评估各个输入参数的影响。主效应图阐明了实现最大压缩性能值（平台应力和能量吸收能力）的最佳参数水平。研究结果表明，金刚石含量和PMMA颗粒尺寸对压缩性能有重大影响。方差分析得出了类似的结果，其中金刚石含量占比最大。此外，压缩性能的响应优化表明，在最佳参数下可获得最大值：金刚石含量为12 wt.%、PMMA颗粒尺寸为150μm、PMMA颗粒含量为25 wt.%。对最佳参数的验证测试显示结果有所改善，同时也存在一些小的误差和偏差，这表明所选参数对于控制Al复合材料的压缩性能至关重要。
