Experimental and Mathematical Optimization of Recycled Poylacticacid Composite Printed Structures Using Fdm Technology

Abstract

Abstract This study compares virgin structures with recycled structures with two main goals. First, it explores the experimental data pertaining to these structures' behavior under loads. Later, it was mathematically compared to multiple optimization method. Thus, layer thickness, infill percentage, and shell thickness—three crucial geometric parameters of the repetitive structures—are regarded as highly significant design parameters. As a result, a unique approach to experiment design was used, yielding nine completely distinct components. These structures were printed using Fused Deposition Modeling (FDM) technology and composed of recycled PLA + CF and Poly Lactic Acid Carbon Fiber (PLACF). They were then loaded, and the resulting mechanical responses served as the basis for the normalizing matrix's foundational dataset. Amazingly, the TOPSIS method found both positive and negative solutions after the weight was normalized. The results clearly showed how performance is measured using performance rank, ranging from the best to the worst solution. The ANNOVA application demonstrated its ability to achieve optimal design values for mechanical properties across specific parameters, revealing the potential of optimization techniques in understanding intricate mechanical behaviours of structures with innovative parts.