Abstract
In this paper, a novel strategy for multi-part additive manufacturing (AM) production is proposed in order to reduce the total fabrication time. Traditionally, in a multi-part production process, parts are positioned on the print platform and then are sliced into layers from the bottom to the top. In this manner, the time for moving the print nozzle from one part to another in each layer can be excessive. In fact, it is possible to fabricate some more layers (instead of one layer) in the same part first, before moving to another part to start printing. Based on this idea, parts need to be positioned on the platform optimally. The best positions are determined by considering and calculating the total fabrication time. An eight-step novel strategy is proposed in this paper to obtain parts’ optimal positions and nozzle travel paths. A case study was carried out to demonstrate that this strategy can save fabrication time for multi-part manufacturing in AM, compared with normal multi-part fabrication method.
Similar content being viewed by others
References
Fu Y-F, Rolfe B, Chiu LNS, Wang Y, Huang X, Ghabraie K (2020) Parametric studies and manufacturability experiments on smooth self-supporting topologies. Virtual Phys Prototyp 15:22–34. https://doi.org/10.1080/17452759.2019.1644185
ISO (2015) Additive manufacturing — General principles — Terminology. Iso/Astm 52900:1–26. https://doi.org/10.1520/F2792-12A.2
Rane K, Strano M (2019) A comprehensive review of extrusion-based additive manufacturing processes for rapid production of metallic and ceramic parts. Adv Manuf 155–173 https://doi.org/10.1007/s40436-019-00253-6
Bourell D, Kruth JP, Leu M, Levy G, Rosen D, Beese AM, Clare A (2017) Materials for additive manufacturing. CIRP Ann - Manuf Technol 66:659–681. https://doi.org/10.1016/j.cirp.2017.05.009
Yu C, Jiang J (2020) A perspective on using machine learning in 3D bioprinting. Int J Bioprinting 6:4–11. https://doi.org/10.18063/ijb.v6i1.253
Jiang J, Xu X, Stringer J (2018) A new support strategy for reducing waste in additive manufacturing. In: The 48th International Conference on Computers and Industrial Engineering (CIE 48). Auckland, pp 1–7
Hao L, Mellor S, Seaman O, Henderson J, Sewell N, Sloan M (2010) Material characterisation and process development for chocolate additive layer manufacturing. Virtual Phys Prototyp 5:57–64. https://doi.org/10.1080/17452751003753212
Bos F, Wolfs R, Ahmed Z, Salet T (2016) Additive manufacturing of concrete in construction: potentials and challenges of 3D concrete printing. Virtual Phys Prototyp 11:209–225. https://doi.org/10.1080/17452759.2016.1209867
Zocca A, Colombo P, Gomes CM, Günster J (2015) Additive manufacturing of ceramics: issues, potentialities, and opportunities. J Am Ceram Soc 98:1983–2001. https://doi.org/10.1111/jace.13700
Jiang J, Hu G, Li X, Xu X, Zheng P, Stringer J (2019) Analysis and prediction of printable bridge length in fused deposition modelling based on back propagation neural network. Virtual Phys Prototyp 14:253–266. https://doi.org/10.1080/17452759.2019.1576010
Jiang J, Lou J, Hu G (2019) Effect of support on printed properties in fused deposition modelling processes. Virtual Phys Prototyp 14:308–315. https://doi.org/10.1080/17452759.2019.1568835
Ding D, Pan Z, Cuiuri D, Li H (2015) A practical path planning methodology for wire and arc additive manufacturing of thin-walled structures. Robot Comput Integr Manuf 34:8–19. https://doi.org/10.1016/j.rcim.2015.01.003
An JY, He Y, Zhong FJ et al (2014) Optimization of tool-path generation for material extrusion-based additive manufacturing technology. Addit Manuf 1:32–47. https://doi.org/10.1016/j.addma.2014.08.004
Jin Y, He Y, Fu G, Zhang A, du J (2017) A non-retraction path planning approach for extrusion-based additive manufacturing. Robot Comput Integr Manuf 48:132–144. https://doi.org/10.1016/j.rcim.2017.03.008
Muller P, Hascoet JY, Mognol P (2014) Toolpaths for additive manufacturing of functionally graded materials (FGM) parts. Rapid Prototyp J 20:511–522. https://doi.org/10.1108/RPJ-01-2013-0011
Ozbolat IT, Khoda AKMB (2014) Design of a new parametric path plan for additive manufacturing of hollow porous structures with functionally graded materials. J Comput Inf Sci Eng 14:14. https://doi.org/10.1115/1.4028418
Liu J, Ma Y, Qureshi AJ, Ahmad R (2018) Light-weight shape and topology optimization with hybrid deposition path planning for FDM parts. Int J Adv Manuf Technol 97:1123–1135. https://doi.org/10.1007/s00170-018-1955-4
Coupek D, Friedrich J, Battran D, Riedel O (2018) Reduction of support structures and building time by optimized path planning algorithms in multi-axis additive manufacturing. Procedia CIRP 67:221–226. https://doi.org/10.1016/j.procir.2017.12.203
Jiang J, Stringer J, Xu X (2019) Support optimization for flat features via path planning in additive manufacturing. 3D Print Addit Manuf 6:171–179. https://doi.org/10.1089/3dp.2017.0124
Jiang J, Xu X, Stringer J (2019) Optimization of process planning for reducing material waste in extrusion based additive manufacturing. Robot Comput Integr Manuf 59:317–325. https://doi.org/10.1016/j.rcim.2019.05.007
Jiang J, Weng F, Gao S, Stringer J, Xu X, Guo P (2019) A support interface method for easy part removal in direct metal deposition. Manuf Lett 20:30–33. https://doi.org/10.1016/j.mfglet.2019.04.002
Zhang Y, Bernard A, Harik R, Karunakaran KP (2017) Build orientation optimization for multi-part production in additive manufacturing. J Intell Manuf 28:1393–1407. https://doi.org/10.1007/s10845-015-1057-1
Jiang J, Xu X, Stringer J (2019) Optimisation of multi-part production in additive manufacturing for reducing support waste. Virtual Phys Prototyp 14:219–228. https://doi.org/10.1080/17452759.2019.1585555
Yang Y, Fuh JYH, Loh HT, Wong YS (2003) Multi-orientational deposition to minimize support in the layered manufacturing process. J Manuf Syst 22:116–129
Thrimurthulu K, Pandey PM, Reddy NV, Venkata Reddy N (2004) Optimum part deposition orientation in fused deposition modeling. Int J Mach Tools Manuf 44:585–594
Zhao J (2005) Determination of optimal build orientation based on satisfactory degree theory for RPT. In: Proceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005. pp 225–230
Das P, Chandran R, Samant R, Anand S (2015) Optimum part build orientation in additive manufacturing for minimizing part errors and support structures. Procedia Manuf 1:343–354. https://doi.org/10.1016/j.promfg.2015.09.041
Luo Z, Yang F, Dong G et al (2016) Orientation optimization in layer-based additive manufacturing process. Proc ASME Des Eng Tech Conf 1A–2016:1–10. https://doi.org/10.1115/DETC2016-59969
Jiang J, Stringer J, Xu X, Zhong RY (2018) Investigation of printable threshold overhang angle in extrusion-based additive manufacturing for reducing support waste. Int J Comput Integr Manuf 31:961–969. https://doi.org/10.1080/0951192X.2018.1466398
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Jiang, J., Xu, X., Xiong, Y. et al. A novel strategy for multi-part production in additive manufacturing. Int J Adv Manuf Technol 109, 1237–1248 (2020). https://doi.org/10.1007/s00170-020-05734-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-020-05734-8