Department of Mechanical Engineering, National Institute of Technology Agartala, Tripura, 799046, India; Centre for Additive Manufacturing, Chennai Institute of Technology, Chennai, Tamil Nadu, 600069, India.
Department of Mathematics, National Institute of Technology Agartala, Tripura, 799046, India.
Chemosphere. 2024 Sep;364:143166. doi: 10.1016/j.chemosphere.2024.143166. Epub 2024 Aug 28.
Recycling of waste plastics and agro-industrial waste for the development of sustainable polymeric composites is recognized as a viable approach to overcome the detrimental environmental effects of plastics waste. Despite of immense potential of sustainable composites in the Circular Economy (CE), its implementation is still insignificant due to the lack of an effective material selection approach. The existence of several influencing aspects in the process of material selection considers it a multi-criteria decision making (MCDM) problem. In the present work, an Aggregation Operator (AO) based integrated Stepwise Weight Assessment Ratio Analysis (SWARA) and Multi-attributive Border Approximation Area Comparison (MABAC) has been proposed to deal with the issues of material selection for polymer based sustainable composites. Moreover, q-rung orthopair fuzzy numbers (q-ROPFNs) have been implemented to tackle the uncertainty in the information. The effectiveness of the proposed approach has been confirmed by different comparative and sensitivity investigations. The developed composites have shown excellent properties whereas the responses of the materials vary invariably with compositions. The proposed method has identified the amalgamation of 10 wt percentage of rice husk ash and 10 wt percentage of sand with 80 wt percentage of high-density polyethylene (HDPE) as an appropriate material for the development of sustainable floor tiles as the composites resulted to optimum mechanical performances and minimum abrasive wear. The proposed model gives reliable and robust results and is sensitive to the criteria weights and mathematical parameters. The outcome of the research has exposed that the suggested mathematical approach can be effectively applied for material selection of sustainable polymeric composites for different applications.
废旧塑料和农业工业废物的回收利用，以开发可持续的聚合物复合材料，被认为是克服塑料废物对环境的有害影响的一种可行方法。尽管可持续复合材料在循环经济（CE）中具有巨大的潜力，但由于缺乏有效的材料选择方法，其实施仍然微不足道。在材料选择过程中存在几个影响因素，这使得它成为一个多准则决策（MCDM）问题。在本工作中，提出了一种基于聚合算子（AO）的集成逐步权重评估比率分析（SWARA）和多属性边界逼近区域比较（MABAC）的方法，用于解决聚合物基可持续复合材料的材料选择问题。此外，还实施了 q 阶序余对模糊数（q-ROPFNs）来处理信息中的不确定性。通过不同的比较和敏感性研究，验证了所提出方法的有效性。所开发的复合材料表现出优异的性能，而材料的响应随组成的变化而变化。所提出的方法确定了将 10wt%的稻壳灰和 10wt%的沙子与 80wt%的高密度聚乙烯（HDPE）混合作为开发可持续地板砖的合适材料，因为复合材料具有最佳的机械性能和最小的磨料磨损。所提出的模型给出了可靠和稳健的结果，并且对标准权重和数学参数敏感。研究结果表明，所提出的数学方法可以有效地应用于不同应用的可持续聚合物复合材料的材料选择。
