Optimized Control Method for Fused Deposition 3D Printing Slice Contour Path Based on Improved Hopfield Neural Network

References

• Fok, K.-Y., N. Ganganath, C.-T. Cheng, H. Ho-Ching Iu, and K. Tse Chi. 2019. A nozzle path planner for 3-D printing applications. IEEE Transactions on Industrial Informatics 16 (10):6313–1716. doi:10.1109/TII.2019.2962241.
   Web of Science ®Google Scholar
• Hsu, H.-P., and C.-N. Wang. 2023. Hybridizing whale optimization algorithm with particle swarm optimization for scheduling a dual-command storage/retrieval machine. IEEE Access 11:21264–82. doi:10.1109/ACCESS.2023.3246518.
   Web of Science ®Google Scholar
• Huang, L.-L., Y. Zhang, J.-H. Xiang, and J. Liu. 2022. Extreme multistability in a Hopfield neural network based on two biological neuronal systems. IEEE Transactions on Circuits & Systems II: Express Briefs 69 (11):4568–72. doi:10.1109/TCSII.2022.3183340.
   Web of Science ®Google Scholar
• Kim, D. H., and T. I. Zohdi. 2022. Tool path optimization of selective laser sintering processes using deep learning. Computational Mechanics 69 (1):383–401. doi:10.1007/s00466-021-02079-1.
   Web of Science ®Google Scholar
• Lin, H., C. Wang, Y. Sun, and T. Wang. 2022. Generating-scroll chaotic attractors from a memristor-based magnetized hopfield neural network. IEEE Transactions on Circuits & Systems II: Express Briefs 70 (1):311–15. doi:10.1109/TCSII.2022.3212394.
   Web of Science ®Google Scholar
• Liu, R., Z. Liang, Z. Wang, and L. Wei. 2023. Indoor visible light positioning based on improved whale optimization method with min-max algorithm. IEEE Transactions on Instrumentation and Measurement 72:1–10. doi:10.1109/TIM.2023.3240212.
   PubMed Web of Science ®Google Scholar
• Liu, H., R. Liu, Z. Liu, and X. Shuhao. 2021. Minimizing the number of transitions of 3d printing nozzles using a traveling-salesman-problem optimization model. International Journal of Precision Engineering and Manufacturing 22 (9):1617–37. doi:10.1007/s12541-021-00512-2.
   Web of Science ®Google Scholar
• Liu, D., S. Zhou, R. Shen, and X. Luo. 2023. Color image edge detection method based on the improved whale optimization algorithm. IEEE Access 11:5981–89. doi:10.1109/ACCESS.2023.3236761.
   Google Scholar
• Lomakin, K., S. Herold, L. Ringel, J. Ringel, D. Simon, M. Sippel, A. Sion, M. Vossiek, K. Helmreich, and G. Gold. 2019. SLA-printed 3-D waveguide paths for E-band using electroless silver plating. IEEE Transactions on Components, Packaging, and Manufacturing Technology 9 (12):2476–81. doi:10.1109/TCPMT.2019.2927671.
   Web of Science ®Google Scholar
• Luo, R. C., L. Chuan Hsu, T. Jung Hsiao, and Y. Wen Perng. 2020. 3D digital manufacturing via synchronous 5-Axes printing for strengthening printing parts. IEEE Access 8:126083–91. doi:10.1109/ACCESS.2020.3007772.
   Web of Science ®Google Scholar
• Ma, Z., W. Wan, L. Song, C. Liu, H. Liu, and W. Yiwen. 2022. an approach of path optimization algorithm for 3D concrete printing based on graph theory. Applied Sciences 12 (22):11315. doi:10.3390/app122211315.
   Google Scholar
• Meiabadi, M. S., M. Moradi, M. Karamimoghadam, S. Ardabili, M. Bodaghi, M. Shokri, and A. H. Mosavi. 2021. Modeling the producibility of 3D printing in polylactic acid using artificial neural networks and fused filament fabrication. Polymers 13 (19):3219.
   PubMed Web of Science ®Google Scholar
• Moradi, M., R. Beygi, Y. Mohd, N. Amiri, A. da Silva, and S. Sharif. 2023. 3D printing of acrylonitrile butadiene styrene by fused deposition modeling: Artificial neural network and response surface method analyses. Journal of Materials Engineering and Performance 32 (4):2016–28.
   Web of Science ®Google Scholar
• Pham, V. H., B. H. Chon, and H. Kyung Ahn. 2023. Whale optimization algorithm-based parallel computing for accelerating misalignment estimation of reflective Fourier ptychography microscopy. IEEE Photonics Journal 15 (1):1–9. doi:10.1109/JPHOT.2023.3241276.
   Web of Science ®Google Scholar
• Sun, J., S. Sathasivam, and M. Khan Bin Majahar Ali. 2022. Analysis and optimization of network properties for bionic topology hopfield neural network using gaussian-distributed small-world rewiring method. IEEE Access 10:95369–89. doi:10.1109/ACCESS.2022.3204821.
   Web of Science ®Google Scholar
• Sun, Y., W. Tian, T. Zhang, P. Chen, and L. Mujun. 2020. Strength and toughness enhancement in 3d printing via bioinspired tool path. Materials & Design 185:108239. doi:10.1016/j.matdes.2019.108239.
   Web of Science ®Google Scholar
• Wang, T., L. Nanya, G. Link, J. Jelonnek, J. Fleischer, J. Dittus, and D. Kupzik. 2021. Load-dependent path planning method for 3D printing of continuous fiber reinforced plastics. Composites, Part A, Applied Science and Manufacturing 140:106181.
   Web of Science ®Google Scholar
• Yu, F., X. Kong, A. Abdullah Mohammed Mokbel, W. Yao, and S. Cai. 2022. Complex dynamics, hardware implementation and image encryption application of multiscroll memeristive hopfield neural network with a novel local active memeristor. IEEE Transactions on Circuits & Systems II: Express Briefs 70 (1):326–30. doi:10.1109/TCSII.2022.3218468.
   Web of Science ®Google Scholar
• Yu, F., H. Shen, Y. Qiulin, X. Kong, P. Kumar Sharma, and S. Cai. 2022. Privacy protection of medical data based on multi-scroll memristive hopfield neural network. IEEE Transactions on Network Science and Engineering 10 (2):845- 858.
   Web of Science ®Google Scholar
• Záda, V., and K. Belda. 2022. Structure design and solution of kinematics of robot manipulator for 3D concrete printing. IEEE Transactions on Automation Science and Engineering 19 (4):3723–34. doi:10.1109/TASE.2021.3133138.
   Web of Science ®Google Scholar