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Abstract: variable bead width in material extrusion-based additive manufacturing (MEAM) is studied to enhance flexibility and capability. Discussion on associated process parameters, including the layer thickness, material flow rate, and travel feed rate is conducted to deduce their potential influence on the bead width of deposited filaments. Then the analytical models are established to analyze their effects on the bead width quantitatively. Based on the theoretical and experimental analyses, the material extrusion flow rate is selected as the input variable to control the bead width during the extrusion and deposition processes. The proposed method is implemented and verified with deposition of a multi-layer but single column thin-walled structure. Based on the implementation of several applications, it is concluded that the bead width could be achieved by adjusting some related process parameters and it can facilitate the extension and application of extrusion-based additive manufacturing technology.

This paper investigates the effects of process parameters, namely layer thickness, flow rate, and travel speed rate, on the bead width of material extrusion-based additive manufacturing processes. The applications of variable bead width to extrusion-based AM are described.

面向材料挤出成型增材制造的自适应丝宽研究

[1]Ahn D, Kweon JH, Kwon S, et al., 2009. Representation of surface roughness in fused deposition modeling. Journal of Materials Processing Technology, 209(15-16):5593-5600.

[2]Boschetto A, Giordano V, Veniali F, 2012. Modelling micro geometrical profiles in fused deposition process. International Journal of Advanced Manufacturing Technology, 61(9-12):945-956.

[3]Boschetto A, Bottini L, Veniali F, 2016. Finishing of fused deposition modeling parts by CNC machining. Robotics and Computer-Integrated Manufacturing, 41:92-101.

[4]Ding D, Pan Z, Cuiuri D, et al., 2015. A multi-bead overlapping model for robotic wire and arc additive manufacturing (WAAM). Robotics and Computer-Integrated Manufacturing, 31:101-110.

[5]Ding D, Pan Z, Cuiuri D, et al., 2016. Bead modelling and implementation of adaptive MAT path in wire and arc additive manufacturing. Robotics and Computer-Integrated Manufacturing, 39:32-42.

[6]Hu K, Jin S, Wang CCL, 2015. Support slimming for single material based additive manufacturing. Computer-Aided Design, 65:1-10.

[7]Jin Y, He Y, Xue G, et al., 2014. A parallel-based path generation method for fused deposition modeling. The International Journal of Advanced Manufacturing Technology, 77(5-8):927-937.

[8]Jin Y, Li H, He Y, et al., 2015a. Quantitative analysis of surface profile in fused deposition modelling. Additive Manufacturing, 8:142-148.

[9]Jin Y, He Y, Fu J, 2015b. Support generation for additive manufacturing based on sliced data. The International Journal of Advanced Manufacturing Technology, 80(9-12):2041-2052.

[10]Jin Y, Wan Y, Zhang B, et al., 2017a. Modeling of the chemical finishing process for polylactic acid parts in fused deposition modeling and investigation of its tensile properties. Journal of Materials Processing Technology, 240:233-239.

[11]Jin Y, Du J, He Y, et al., 2017b. Modeling and process planning for curved layer fused deposition. The International Journal of Advanced Manufacturing Technology, 91(1-4):273-285.

[12]Kulkarni P, Marsan A, Dutta D, 2000. A review of process planning techniques in layered manufacturing. Rapid Prototyping Journal, 6(1):18-35.

[13]Li P, Ji S, Zeng X, et al., 2007. Direct laser fabrication of thin-walled metal parts under open-loop control. International Journal of Machine Tools and Manufacture, 47(6):996-1002.

[14]McCullough EJ, Yadavalli VK, 2013. Surface modification of fused deposition modeling ABS to enable rapid prototyping of biomedical microdevices. Journal of Materials Processing Technology, 213(6):947-954.

[15]Rahmati S, Vahabli E, 2015. Evaluation of analytical modeling for improvement of surface roughness of FDM test part using measurement results. International Journal of Advanced Manufacturing Technology, 79(5-8):823-829.

[16]Turner BN, Strong R, Gold SA, 2014. A review of melt extrusion additive manufacturing processes: I. Process design and modeling. Rapid Prototyping Journal, 20(3):192-204.

[17]Zhu Z, Dhokia V, Newman ST, 2016. A new algorithm for build time estimation for fused filament fabrication technologies. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 230(12):2214-2228