Multitemperature parameter optimization for fused deposition modeling based on response surface methodology
Zhi Wang, Jing Li, Wenjie Wu, Daijun Zhang, Ning Yu
Abstract
Fused deposition modeling (FDM) is an additive manufacturing technology that is extensively applied in engineering and medicine and offers a wide range of raw materials, low manufacturing cost, and personalized features. The mechanical properties of parts fabricated by FDM are greatly influenced by the multitemperature process parameter system. However, systematic research on the relationship between the multitemperature parameter system and mechanical properties of FDM parts is lacking. In this study, we used the response surface methodology (RSM) to optimize a multi-temperature parameter system of FDM to address the limitations of the commonly used conventional experimental method. The effect of temperature conditions (nozzle temperature, platform temperature, and environment temperature) on the tensile strength of the carbon fibers/polylactic acid composite specimens was systematically studied using the constructed RSM model. The RSM model was used to analyze and optimize the parameters of the multitemperature system for the optimal tensile strength, and the FDM experiment was carried out. The tensile strengths obtained using the FDM and response surface optimization were 32.4 and 31.35 MPa, respectively, with a gap of 3.2%. These results show that the RSM optimization method has a remarkable effect and can be used to optimize the multitemperature parameter system of the FDM.