Research Papers: Design for Manufacture and the Life Cycle

Control of Process Settings for Large-Scale Additive Manufacturing With Sustainable Natural Composites

[+] Author and Article Information
Yadunund Vijay

Engineering Product Development,
Singapore University of Technology and Design,
Singapore 487372
e-mail: yadunund_vijay@mymail.sutd.edu.sg

Naresh D. Sanandiya

Engineering Product Development,
Singapore University of Technology and Design,
Singapore 487372
e-mail: naresh_sanandiya@sutd.edu.sg

Stylianos Dritsas

Architecture and Sustainable Design,
Singapore University of Technology and Design,
Singapore 487372
e-mail: stylianosdritsas@sutd.edu.sg

Javier G. Fernandez

Engineering Product Development,
Singapore University of Technology and Design,
Singapore 487372
e-mail: javier.fernandez@sutd.edu.sg

1Corresponding author.

Contributed by the Design for Manufacturing Committee of ASME for publication in the Journal of Mechanical Design. Manuscript received June 29, 2018; final manuscript received January 5, 2019; published online April 16, 2019. Assoc. Editor: Paul Witherell.

J. Mech. Des 141(8), 081701 (Apr 16, 2019) (12 pages) Paper No: MD-18-1510; doi: 10.1115/1.4042624 History: Received June 29, 2018; Accepted January 09, 2019

We present a system for 3D printing large-scale objects using natural biocomposite materials, which comprises a precision extruder mounted on an industrial six-axis robot. This paper highlights work on controlling process settings to print filaments of desired dimensions while constraining the operating point to a region of maximum tensile strength and minimum shrinkage. Response surface models relating the process settings to the geometric and physical properties of extruded filaments are obtained through face-centered central composite designed experiments. Unlike traditional applications of this technique that identify a fixed operating point, the models are used to uncover dimensions of filaments obtainable within the operating boundaries of our system. Process-setting predictions are then made through multi-objective optimization of the models. An interesting outcome of this study is the ability to produce filaments of different shrinkage and tensile strength properties by solely changing process settings. As a follow-up, we identify optimal lateral overlap and interlayer spacing parameters to define toolpaths to print structures. If unoptimized, the material’s anisotropic shrinkage and nonlinear compression characteristics cause severe delamination, cross-sectional tapering, and warpage. Finally, we show the linear scalability of the shrinkage model in 3D space, which allows for suitable toolpath compensation to improve the dimensional accuracy of printed artifacts. We believe this first-ever study on the parametrization of the large-scale additive manufacture technique with biocomposites will serve as reference for future sustainable developments in manufacturing.

Copyright © 2019 by ASME
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Duty, C. E., Kunc, V., Compton, B., Post, B., Erdman, D., Smith, R., Lind, R., Lloyd, P., and Love, L., 2017, “Structure and Mechanical Behavior of Big Area Additive Manufacturing (BAAM) Materials,” Rapid Prototyp. J., 23(1), pp. 181–189. [CrossRef]
Wang, Z. Y., Liu, R. W., Sparks, T., and Liou, F., 2016, “Large-Scale Deposition System by an Industrial Robot (I): Design of Fused Pellet Modeling System and Extrusion Process Analysis,” 3D Print Addit. Manuf., 3(1), pp. 39–47. [CrossRef]
Barnett, E., and Gosselin, C., 2015, “Large-Scale 3D Printing With a Cable-Suspended Robot,” Addi. Manufact., 7, pp. 27–44. [CrossRef]
Lee, J. C., Moon, J. H., Jeong, J.-H., Kim, M. Y., Kim, B. M., Choi, M.-C., Kim, J. R., and Ha, C.-S., 2016, “Biodegradability of Poly(Lactic Acid) (PLA)/Lactic Acid (LA) Blends Using Anaerobic Digester Sludge,” Macromol. Res., 24(8), pp. 741–747. [CrossRef]
Zia, K. M., Bhatti, H. N., and Ahmad Bhatti, I., 2007, “Methods for Polyurethane and Polyurethane Composites, Recycling and Recovery: A Review,” React. Funct. Poly., 67(8), pp. 675–692. [CrossRef]
Lim, S., Buswell, R. A., Le, T. T., Austin, S. A., Gibb, A. G. F., and Thorpe, T., 2012, “Developments in Construction-Scale Additive Manufacturing Processes,” Autom. Constr., 21, pp. 262–268. [CrossRef]
Perrot, A., Rangeard, D., and Courteille, E., 2018, “3D Printing of Earth-Based Materials: Processing Aspects,” Constr. Build. Mater., 172, pp. 670–676. [CrossRef]
Brown, M. T., and Buranakarn, V., 2003, “Emergy Indices and Ratios for Sustainable Material Cycles and Recycle Options,” Resour., Conserv. Recycl., 38(1), pp. 1–22. [CrossRef]
Hajash, K., Sparrman, B., Guberan, C., Laucks, J., and Tibbits, S., 2017, “Large-Scale Rapid Liquid Printing,” 3D Print Addit. Manuf., 4(3), pp. 123–131. [CrossRef]
Siqueira, G., Kokkinis, D., Libanori, R., Hausmann, M. K., Gladman, A. S., Neels, A., Tingaut, P., Zimmermann, T., Lewis, J. A., and Studart, A. R., 2017, “Cellulose Nanocrystal Inks for 3D Printing of Textured Cellular Architectures,” Adv. Funct. Mater., 27(12), 1604619. [CrossRef]
Lam, C. X. F., Mo, X. M., Teoh, S. H., and Hutmacher, D. W., 2002, “Scaffold Development Using 3D Printing With a Starch-Based Polymer,” Mater. Sci. Eng. C, 20(1), pp. 49–56. [CrossRef]
Le Duigou, A., Castro, M., Bevan, R., and Martin, N., 2016, “3D Printing of Wood Fibre Biocomposites: From Mechanical to Actuation Functionality,” Mater. Des., 96, pp. 106–114. [CrossRef]
Li, V. C.-F., Dunn, C. K., Zhang, Z., Deng, Y., and Qi, H. J., 2017, “Direct Ink Write (DIW) 3D Printed Cellulose Nanocrystal Aerogel Structures,” Sci. Rep., 7(1), 8018. [CrossRef] [PubMed]
Sanandiya, N. D., Vijay, Y., Dimopoulou, M., Dritsas, S., and Fernandez, J. G., 2018, “Large-Scale Additive Manufacturing With Bioinspired Cellulosic Materials,” Sci. Rep., 8(1), 8642. [CrossRef] [PubMed]
ISO/ASTM52900-15, 2015, “Standard Terminology for Additive Manufacturing—General Principles—Terminology,” ASTM International, West Conshohocken, PA.
Lewis, J. A., 2006, “Direct Ink Writing of 3D Functional Materials,” Adv. Funct. Mater., 16(17), pp. 2193–2204. [CrossRef]
Mogas-Soldevila, L., Duro-Royo, J., and Oxman, N., 2014, “Water-Based Robotic Fabrication: Large-Scale Additive Manufacturing of Functionally Graded Hydrogel Composites via Multichamber Extrusion,” 3D Print Addit. Manuf., 1(3), pp. 141–151. [CrossRef]
Fernandez, J. G., and Ingber, D. E., 2014, “Manufacturing of Large-Scale Functional Objects Using Biodegradable Chitosan Bioplastic,” Macromol. Mater. Eng., 299(8), pp. 932–938. [CrossRef]
Suryakumar, S., Karunakaran, K. P., Bernard, A., Chandrasekhar, U., Raghavender, N., and Sharma, D., 2011, “Weld Bead Modeling and Process Optimization in Hybrid Layered Manufacturing,” Comput. Aided Des., 43(4), pp. 331–344. [CrossRef]
Ding, D. H., Pan, Z. X., Cuiuri, D., Li, H. J., van Duin, S., and Larkin, N., 2016, “Bead Modelling and Implementation of Adaptive MAT Path in Wire and Arc Additive Manufacturing,” Rob. Comput. Integr. Manuf., 39, pp. 32–42. [CrossRef]
Rayegani, F., and Onwubolu, G. C., 2014, “Fused Deposition Modelling (FDM) Process Parameter Prediction and Optimization Using Group Method for Data Handling (GMDH) and Differential Evolution (DE),” Int. J. Adv. Manuf. Tech., 73(1–4), pp. 509–519. [CrossRef]
Simunovic, S., Nycz, A., Noakes, M., Chin, C., and Oancea, V., 2017, “Metal Big Area Additive Manufacturing: Process Modeling and Validation,” NAFEMS World Congress 2017, Stockholm, Sweden.
Dritsas, S., 2015, “A Digital Design and Fabrication Library,” SimAUD '15 Proceedings of the Symposium on Simulation for Architecture & Urban Design, Alexandria, VA, Apr. 12–15.
Kalpakjian, S., 2010, Manufacturing Engineering and Technology, Prentice Hall, New York.
Montgomery, D. C., 2012, Statistical Quality Control, 7th ed., John Wiley & Sons, New York.
Kirk, Roger, E, 2015, “Experimental Design,” The Blackwell Encyclopedia of Sociology, George Ritzer, ed., John Wiley & Sons, New York.
Seyed Shahabadi, S. M., and Reyhani, A., 2014, “Optimization of Operating Conditions in Ultrafiltration Process for Produced Water Treatment via the Full Factorial Design Methodology,” Sep. Purif. Technol., 132, pp. 50–61. [CrossRef]
Trachtenberg, J. E., Placone, J. K., Smith, B. T., Piard, C. M., Santoro, M., Scott, D. W., Fisher, J. P., and Mikos, A. G., 2016, “Extrusion-Based 3D Printing of Poly(propylene fumarate) in a Full-Factorial Design,” ACS Biomater. Sci. Eng., 2(10), pp. 1771–1780. [CrossRef]
Morris, M. D., 1991, “Factorial Sampling Plans for Preliminary Computational Experiments,” Technometrics, 33(2), pp. 161–174. [CrossRef]
Gunst, R. F., 1996, “Response Surface Methodology: Process and Product Optimization Using Designed Experiments,” Technometrics, 38(3), pp. 284–286. [CrossRef]
Singh, S., Sharma, V. S., and Sachdeva, A., 2012, “Optimization and Analysis of Shrinkage in Selective Laser Sintered Polyamide Parts,” Mater. Manuf. Proc., 27(6), pp. 707–714. [CrossRef]
Vicente, G., Coteron, A., Martinez, M., and Aracil, J., 1998, “Application of the Factorial Design of Experiments and Response Surface Methodology to Optimize Biodiesel Production,” Ind. Crops Prod., 8(1), pp. 29–35. [CrossRef]
Dong, G., Wijaya, G., Tang, Y., and Zhao, Y. F., 2018, “Optimizing Process Parameters of Fused Deposition Modeling by Taguchi Method for the Fabrication of Lattice Structures,” Addit. Manuf., 19, pp. 62–72. [CrossRef]
Derringer, G., and Suich, R., 1980, “Simultaneous Optimization of Several Response Variables,” J. Qual. Technol., 12(4), pp. 214–219. [CrossRef]
Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T. Q., and Hui, D., 2018, “Additive Manufacturing (3D Printing): A Review of Materials, Methods, Applications and Challenges,” Comp. Part B Eng., 143, pp. 172–196. [CrossRef]


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Fig. 1

Hardware setup of the large-scale additive manufacturing system

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Fig. 2

Left: design space of 23 full factorial experiment with eight corner points and one center point; right: design space of 23 face-centered central composite design experiment with six additional axial points

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Fig. 3

Zones for dimensional measurement of filaments

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Fig. 4

Left: process parameters used in the study. Right: subset of a generated dataset.

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Fig. 5

Surface plots of the width of filaments in the wet state

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Fig. 6

Surface plots of the height of filaments in the wet state

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Fig. 7

Surface plots of the width of filaments in the dry state

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Fig. 8

Surface plots of the height of filaments in the dry state

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Fig. 9

Surface plots of the tensile strength of printed filaments as a function of process settings

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Fig. 10

Contour plot of a cross-sectional area of filaments in the wet state

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Fig. 11

Results of multi-objective optimization to predict process settings for desired dimensional and physical properties of single filaments

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Fig. 12

Left: test set of varying lateral overlap distance. Right: measurement of shear force using Instron.

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Fig. 13

Graph of average shear force required to separate laterally overlapping filaments

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Fig. 14

Repeating overlapping square units of edge length 60 mm

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Fig. 15

Graph of shrinkage in overall width as a function of the number of repeating units

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Fig. 16

Tapering of the cross section of 13 vertically stacked filaments leading to buckling

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Fig. 17

Tracking changes in the width of printed layers as layers are added above

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Fig. 18

Tracking changes in the height of printed layers as layers are added above

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Fig. 19

Graph of the dry heights of printed cylinders as a function of the number of printed layers

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Fig. 20

Filaments printed with first settings as obtained from multi-objective optimization

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Fig. 21

Left: near elimination of cross-sectional tapering as a result of optimized interlayer spacing. Right: a side view of an optimized wall showing the consistent height of the layers.

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Fig. 22

(a) Wind turbine blade design, (b) top view of the serpentine path, (c) the path generated for the entire blade, (d) five additional base layers added for shrinkage compensation, (e) printing along the generated path, (f) fused printed halves, and (g) finished turbine blade

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Fig. 23

Large-scale 3D-printed prototypes

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Fig. 24

Residual plots for the fitted model



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