Study of modelling, analysis, evaluation, selection, and designing of nanocomposites

Abstract

The rapid proliferation of nanocomposites across diverse fields, including construction, electronics, and automobiles, underscores their increasing significance for various applications. These nanocomposites exhibit distinctive size-dependent material properties, encompassing different forms such as particulate, fibrous, and layered structures. As viable alternatives to traditional composites, nanocomposites pose a challenge for users in terms of material selection due to their inherent complexity. This research aims to address this concern by establishing a reliable database that captures the diverse attributes of nanocomposites. The resulting database serves as a valuable resource for users seeking to streamline the selection process, ultimately saving time. The selection procedure involves ranking alternatives in a shortlist using attribute-based specification and graphical methods. A three-stage selection process is implemented, identifying pertinent attributes and employing TOPSIS and graphical methods, such as line graphs and spider diagrams, for ranking. Additionally, the study introduces a methodology for calculating the permanent function and numerical index of nanocomposite systems, breaking them down into four subsystems with interactions represented in matrix form. The study's findings contribute a general formula applicable to any nanocomposite product system, enhancing the overall understanding and selection process for these advanced materials.