Adaptive Toolpath Generation for Material Extrusion Additive Manufacturing Using a Nozzle with Rectangular Orifice

被引:3
作者
Gharehpapagh, Bahar [1 ]
Dilberoglu, Ugur M. [1 ]
Yaman, Ulas [1 ]
Dolen, Melik [1 ]
机构
[1] Middle East Tech Univ, Mech Engn Dept, TR-06800 Ankara, Turkiye
关键词
Material extrusion; Adaptive toolpath generation; Rectangular-orifice nozzle;
D O I
10.1016/j.addma.2023.103873
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Material Extrusion Additive Manufacturing has greatly simplified the production of complex designs, but it is often accompanied by a trade-off between build resolution and build rate. A higher build resolution can improve the quality of the finished product, but it also slows down the production process. This compromise can be fine-tuned between production runs via alternative sizes of the primary manufacturing tool (i.e., the nozzle), but, in-process reconfiguration of the nozzle is not utilized in the usual Fused Filament Fabrication (FFF) applications. An extrusion system featuring a rotatable rectangular-orifice nozzle can be employed to tune the build resolution. The effective size of the extrusion can be altered through rotational guidance, where a single nozzle acts as if it possesses various orifice sizes. This method holds the potential to introduce variable bead width and height in the process by employing intermediate orientations of the rectangular cross-section. Nevertheless, the implementation of this concept necessitates the development of a customized tool path planning approach. This paper presents methods for planning the trajectory and spin of a rectangular-orifice nozzle to effectively control the position and width of the printed trace. The intention is to promote rapid extrusion of interior regions and enable the printing of finer details with more accuracy. Due to the critical nature of shell manufacturing and infill generation in FFF, dedicated modes of operation have been developed for these tasks. Versatile test cases are developed for the purpose of evaluating the introduced strategies. The results of these test cases demonstrate the applicability of the proposed method for achieving controllable resolution in FFF.
引用
收藏
页数:15
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共 28 条
  • [1] Bahar Gharehpapagh, 2021, J ADDIT MANUF TECHNO, V1, P577
  • [2] Brooks HL, 2012, INNOVATIVE DEVELOPMENTS ON VIRTUAL AND PHYSICAL PROTOTYPING, P511
  • [3] Extrusion control for high quality printing on Big Area Additive Manufacturing (BAAM) systems
    Chesser, Phillip
    Post, Brian
    Roschli, Alex
    Carnal, Charles
    Lind, Randall
    Borish, Michael
    Love, Lonnie
    [J]. ADDITIVE MANUFACTURING, 2019, 28 : 445 - 455
  • [4] Scalable, flexible and resilient parallelization of fused filament fabrication: Breaking endemic tradeoffs in material extrusion additive manufacturing
    Cleeman, Jeremy
    Bogut, Alex
    Mangrolia, Brijesh
    Ripberger, Adeline
    Kate, Kunal
    Zou, Qingze
    Malhotra, Rajiv
    [J]. ADDITIVE MANUFACTURING, 2022, 56
  • [5] Motion planning and numerical simulation of material deposition at corners in extrusion additive manufacturing
    Comminal, Raphael
    Serdeczny, Marcin P.
    Pedersen, David B.
    Spangenberg, Jon
    [J]. ADDITIVE MANUFACTURING, 2019, 29
  • [6] A Systematic Survey of FDM Process Parameter Optimization and Their Influence on Part Characteristics
    Dey, Arup
    Yodo, Nita
    [J]. JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2019, 3 (03):
  • [7] A variable bead width filling pattern to print porous media with material extrusion additive manufacturing
    Di Nisio, Felipe Goncalves
    Ventura, Heitor Tonel
    Minetto, Rodrigo
    Dutra, Ricardo
    Volpato, Neri
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 121 (5-6) : 3919 - 3933
  • [8] Experiment-Based Process Modeling and Optimization for High-Quality and Resource-Efficient FFF 3D Printing
    Elkaseer, Ahmed
    Schneider, Stella
    Scholz, Steffen G.
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (08):
  • [9] Investigation of Variable Bead Widths in FFF Process
    Gharehpapagh, Bahar
    Dolen, Melik
    Yaman, Ulas
    [J]. 29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 : 52 - 59
  • [10] Design and manufacturing of graded density components by material extrusion technologies
    Grigolato, Luca
    Rosso, Stefano
    Meneghello, Roberto
    Concheri, Gianmaria
    Savio, Gianpaolo
    [J]. ADDITIVE MANUFACTURING, 2022, 57