Advancing Industry 4.0: Multimodal Sensor Fusion for AI-Based Fault Detection in 3D Printing
Additive manufacturing, particularly fused deposition modeling, is transforming modern production by enabling rapid prototyping and complex part fabrication. However, its layer-by-layer process remains vulnerable to faults such as nozzle clogging, fi…
Authors: Muhammad Fasih Waheed, Shonda Bernadin, Ali Hassan
Adv anci ng Industr y 4.0: Mul timodal Sensor Fus ion for AI - Based F aul t Detection in 3D Pri nting - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Table 1 - - - - - - - - - Figure 1 Figure 2 Figure 3 - - Figure 4 - - - - - Table 2. - - Figure 5 - - - ’ - - Figure 6 Figure 7 - - - - - - Figure 8 - - - - - - ’ - - ’ - - - - - - - - Figure 9 - - - - - Figure 10 - - - - - Figure 11 Figure 12 - - Figure 13 Figure 14 - - - - - - - - - - - - - - - - - - - - - Materials (Basel), 1 7 - - - arXiv p reprint arXiv:2305.13596 . Re- sults in Enginee ring, 26, A dditive Manu facturing, 38, Ap- plied System In novation, 4, - Materials & Design, 97, - - - Sen sors, 22, Pro- gress in Additive Manufacturing , 8 - - - - - - Additive Manu facturing, 48 - Journal of Man ufacturing Systems, 66, - - - Sen sors (Basel), 22 - - - In- ternational Journal of Computer I ntegrated Manufac- turing, - Computers & Industrial Engineering, 176, - - Sen sors (Basel), 22 - MUHAMM AD FASIH WAH EED - - - SHONDA BERNADIN - ALI HAS SAN -
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