Abstract A systematic and efficient approach for the selection of material is necessary to choose a best alternative for the structure or component under consideration. The multi-criteria decision making (MCDM) approaches are well suited to deal intricacy in judgment of material assortment. In this paper, integrated MCDM approaches like analytical hierarchy process (AHP)–technique for order preference by the resemblance to an ideal solution (TOPSIS) and AHP–multi-objective optimization on the basis of ratio analysis (MOORA) methods are used to rank aluminum-coconut shell ash (CSA) composites. The weightage for each criterion is calculated by AHP method and utilized in the TOPSIS and MOORA approaches to rank the materials. The target-based attributes such as density (physical property), hardness, tensile strength, toughness (mechanical properties), wear rate, and coefficient of friction (tribological properties) of the prepared composites are considered in the selection of criteria process. The composites are fabricated using stir-casting process by varying the volume fraction (5, 10, 15, and 20%) of CSA incorporated with Al-1100 matrix. A detailed study on the MCDM approaches revealed that Al-15% CSA composite emerged as the best material followed by Al-10% CSA composite among all, whereas the base matrix is found as the poor performed material in this study.

中文翻译：

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使用 AHP-TOPSIS 和 MOORA 方法通过 MCDM 方法对 Al-CSA 复合材料进行排序

摘要 选择材料的系统和有效方法是为所考虑的结构或组件选择最佳替代方案所必需的。多标准决策 (MCDM) 方法非常适合处理复杂的材料分类判断。在本文中，集成的 MCDM 方法，如层次分析法 (AHP)——通过与理想解相似的顺序偏好技术 (TOPSIS) 和 AHP——基于比率分析的多目标优化 (MOORA) 方法用于排序铝-椰子壳灰（CSA）复合材料。每个标准的权重通过层次分析法计算，并在 TOPSIS 和 MOORA 方法中用于对材料进行排序。基于目标的属性，例如密度（物理特性）、硬度、拉伸强度、韧性（机械特性）、在选择标准过程中考虑了所制备复合材料的磨损率和摩擦系数（摩擦学性能）。通过改变掺入 Al-1100 基体的 CSA 的体积分数（5%、10%、15% 和 20%），使用搅拌铸造工艺制造复合材料。对 MCDM 方法的详细研究表明，Al-15% CSA 复合材料是最好的材料，其次是 Al-10% CSA 复合材料，而在本研究中，基础基体被认为是性能较差的材料。