Multi-Objective Optimization of Tensile Strength and Material Consumption of FDM Parts using Multi-Objective Symbiotic Organisms Search (MOSOS)

Abstract

Abstract Fused Deposition Modeling (FDM) has emerged as a prominent method for rapid prototyping in Additive Manufacturing (AM) due to its ability to construct intricate geometries. Nevertheless, optimizing FDM process parameters to attain desired part characteristics remains a challenge. This study presents comprehensive findings from an experimental investigation, comparing results obtained through simulations and practical experiments, within the framework of multi-objective optimization for FDM. The core objectives of this analysis center on material consumption and tensile strength, both pivotal in FDM applications, while exploring the efficacy of Multi-Objective Symbiotic Organisms Search (MOSOS) in addressing the trade-off between these objectives. This study utilizes advanced experimental design techniques, specifically Response Surface Methodology (RSM) in conjunction with Face-Centered Central Composite Design (FCCD), to meticulously conduct experiments. These experiments are crucial in the creation of precise regression models that serve as objective functions for the MOSOS algorithm. The significant outcome of this study is the identification of a trade-off relationship between material consumption and tensile strength in FDM. The research revealed that achieving higher tensile strength in FDM requires an increase in material consumption, while reducing material usage comes at the cost of compromised tensile strength. The study also pinpointed an optimal configuration at the fourth index, consisting of specific parameter settings such as a layer thickness of 0.25 mm, printing speed of 60 mm/s, infill density of 20%, and print temperature of 213.26°C, which strikes a satisfactory balance between material efficiency and mechanical performance.