Parameter Optimization Design Considering the Stability of the Fused Deposition Modeling Process

doi:10.3901/JME.2023.23.331

Abstract

Abstract: In order to improve the production speed and product delivery speed of the fused deposition modeling (FDM) process, it is necessary to increase the number of 3D printing equipment or implement distributed localization production to expand production capacity. Therefore, improving the process stability and production efficiency of the FDM process in mass production will become the key to the wide industrial application of FDM technology in the future. This study aims to achieve consistency in the quality of parts printed by the same model or different models of 3D printers at a low printing cost by selecting the appropriate FDM process parameter settings. Firstly, the Gaussian process model is combined with a split-plot experimental design to study the relationship between compressive deformation, printing time, the length of the consumed wire, and critical process parameters. Then, considering the uncertainty in the printing process, the distance of the interval number is used to measure the split-plot effect of the compressive deformation of parts printed by different printers. Finally, the multi-objective optimization scheme is established by considering the split-plot effect and printing cost to obtain the optimal parameter design value of the FDM process. The results of the validation experiments illustrate the effectiveness and feasibility of the proposed method. This study provides an important idea for the standardization and industrialization of FDM technology.

Key words: fused deposition modeling, parameter design, Gaussian process, split-plot effect, production efficiency

CLC Number:

TP391
TG156

ZHAI Cuihong, WANG Jianjun, MA Yizhong, FENG Zebiao, REN Xiaolei, DING Chunfeng. Parameter Optimization Design Considering the Stability of the Fused Deposition Modeling Process[J]. Journal of Mechanical Engineering, 2023, 59(23): 331-342.

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