Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system

Miguel Castillo, Roberto Monroy and Rafiq Ahmad ()
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Miguel Castillo: University of Alberta
Roberto Monroy: University of Alberta
Rafiq Ahmad: University of Alberta

Journal of Intelligent Manufacturing, 2024, vol. 35, issue 1, No 2, 3-33

Abstract: Abstract As the 3D printing polymer material extrusion process is moving beyond niche markets and into large-scale manufacturing, still commercial systems employed by this process work in an open-loop environment where no feedback or control solution is provided from batch-to-batch production. This issue causes significant differences in part quality and generates lower production efficiency. However, there are substantial innovations in terms of smart manufacturing (SM) technologies, where the use of integrated smart sensors, the internet-of-things (IoT), big data, and artificial intelligence (AI) tools, that applied can let the systems evolve into a closed-loop higher rentability mass production process. This study investigates the available smart manufacturing technologies applied to evaluate the current state-of-the-art. This paper used scientometric analysis to analyze the most important contributions in this area. A systematic review aims to verify the results and understand the publications related to the polymer material extrusion process in detail. The analysis concludes that the most investigated aspect is the relation between the mechanical properties of materials and the high anisotropy presented in the process. The conclusions show that different sensors have been integrated, such as digital cameras, thermal cameras, thermocouples, and accelerometers, among others. They all obtain metrics and use data models to make supported decisions. Furthermore, AI algorithms have been applied to the process, and significant progress has been made to detect quality failures or part defects. Finally, as a substantial conclusion, it has been found that there is still no system in the market that can provide integral feedback control and process adjustment in real-time. This brings a positive opportunity to improve and achieve a fully smart manufacturing system in the 3D printing polymer material extrusion process.

Keywords: FDM; Industry 4.0; Artificial intelligence; Mechanical properties; Thermal properties; Smart manufacturing (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10845-022-02049-1

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