Recycled Wood Dust Polypropylene Composite (r-WoPPC) Material Selection for Drone Frame Structures by using TOPSIS

Abstract

Conceptual design and natural fibre composite filament for fused deposition modelling (FDM) has gained enormous interest in recent years. Therefore, this paper presents the multi-criteria decision making (MCDM) method to select the best design concepts generated and best natural fibre composite filament materials for the drone frame structures. The conceptual design process includes product design specification, morphological method, and finite element analysis (FEA) before the selection process using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Next, the natural fibre composite filaments produced with different weight percentage and mechanical treatment were printed and their mechanical properties were used in the Ansys software to get their stress, strain, and displacement using FEA method. The results obtained then were analysed using TOPSIS method to get the best materials for the drone frame structure. Five design concepts were generated and the results from TOPSIS method shows that design concept 2 outperformed others with a performance score of 0.0893 while the best material is 1% r-WoPPC NaOH Silane treated with the score of 0.9864 compared to the other different r-WoPPC filaments. It can be concluded that by using the TOPSIS method, researchers can select the best concept design and best materials for the drone frame structures.