2023-02-25

Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method

  • Kapil Kumar ,
  • Hari Singh
Expand
  • 1. Department of Mechanical Engineering, National Institute of Technology, Kurukshetra 136119, India;
    2. Department of Mechanical Engineering, National Institute of Technology, Kurukshetra 136119, India

Received date: 2022-04-03

  Revised date: 2023-01-06

  Online published: 2023-12-20

Abstract

The urgent need to develop customized functional products only possible by 3D printing had realized when faced with the unavailability of medical devices like surgical instruments during the coronavirus-19 disease and the on-demand necessity to perform surgery during space missions. Biopolymers have recently been the most appropriate option for fabricating surgical instruments via 3D printing in terms of cheaper and faster processing. Among all 3D printing techniques, fused deposition modelling (FDM) is a low-cost and more rapid printing technique. This article proposes the fabrication of surgical instruments, namely, forceps and hemostat using the fused deposition modeling (FDM) process. Excellent mechanical properties are the only indicator to judge the quality of the functional parts. The mechanical properties of FDM-processed parts depend on various process parameters. These parameters are layer height, infill pattern, top/bottom pattern, number of top/bottom layers, infill density, flow, number of shells, printing temperature, build plate temperature, printing speed, and fan speed. Tensile strength and modulus of elasticity are chosen as evaluation indexes to ascertain the mechanical properties of polylactic acid (PLA) parts printed by FDM. The experiments have performed through Taguchi's L27 orthogonal array (OA). Variance analysis (ANOVA) ascertains the significance of the process parameters and their percent contributions to the evaluation indexes. Finally, as a multi-objective optimization technique, grey relational analysis (GRA) obtains an optimal set of FDM process parameters to fabricate the best parts with comprehensive mechanical properties. Scanning electron microscopy (SEM) examines the types of defects and strong bonding between rasters. The proposed research ensures the successful fabrication of functional surgical tools with substantial ultimate tensile strength (42.6 MPa) and modulus of elasticity (3274 MPa).

Cite this article

Kapil Kumar , Hari Singh . Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method[J]. Chinese Journal of Mechanical Engineering, 2023 , 36(1) : 30 -30 . DOI: 10.1186/s10033-023-00847-z

References

[1] K Singh. Experimental study to prevent the warping of 3D models in fused deposition modeling. International Journal of Plastics Technology, 2018, 22(1): 177-184. https://doi.org/10.1007/s12588-018-9206-y
[2] P Krishna. Motaparti, G Taylor, et al. Experimental investigation of effects of build parameters on flexural properties in fused deposition modelling parts. Virtual and Physical Prototyping, 2017, 12(3): 207-220. https://doi.org/10.1080/17452759.2017.1314117
[3] A P Gordon, J Torres, M Cole, et al. An approach for mechanical property optimization of fused deposition modeling with polylactic acid via design of experiments. Rapid Prototyping Journal, 2016, 22(2): 387-404. https://doi.org/10.1108/RPJ-07-2014-0083
[4] J M Chacón, M A Caminero, E García-Plaza, et al. Additive manufacturing of PLA structures using fused deposition modelling: Effect of process parameters on mechanical properties and their optimal selection. Materials and Design, 2017, 124: 143-157. https://doi.org/10.1016/j.matdes.2017.03.065
[5] T Y Yao, Z C Deng, K Zhang, et al. A method to predict the ultimate tensile strength of 3D printing polylactic acid (PLA) materials with different printing orientations. Composites Part B: Engineering, 2019, 163: 393-402. https://doi.org/10.1016/j.compositesb.2019.01.025
[6] A K Sood, R K Ohdar, S S Mahapatra. Parametric appraisal of mechanical property of fused deposition modelling processed parts. Materials and Design, 2010, 31(1): 287-295. https://doi.org/10.1016/j.matdes.2009.06.016
[7] W Z Wu, P Geng, G W Li, et al. Influence of layer thickness and raster angle on the mechanical properties of 3D-printed PEEK and a comparative mechanical study between PEEK and ABS. Materials, 2015, 8(9): 5834-5846. https://doi.org/10.3390/ma8095271
[8] A Lanzotti, M Grasso, G Staiano, et al. The impact of process parameters on mechanical properties of parts fabricated in PLA with an open-source 3-D printer. Rapid Prototyping Journal, 2015, 21(5): 604-617. https://doi.org/10.1108/RPJ-09-2014-0135
[9] S Attoye, E Malekipour, H El-Mounayri. Correlation between process parameters and mechanical properties in parts printed by the fused deposition modeling process. Proceedings of the Society for Experimental Mechanics Series, 2019, 35-41. https://doi.org/10.1007/978-3-319-95083-9_8
[10] H B Li, T Y Wang, J Sun, et al. The Effect of process parameters in fused deposition modelling on bonding degree and mechanical properties. Rapid Prototyping Journal, 2018, 24(1): 80-92. https://doi.org/10.1108/RPJ-06-2016-0090
[11] X H Liu, M S Zhang, S P Li, et al. Mechanical property parametric appraisal of fused deposition modeling parts based on the gray Taguchi method. International Journal of Advanced Manufacturing Technology, 2017, 89(5-8): 2387-2397. https://doi.org/10.1007/s00170-016-9263-3
[12] D Drummer, S Cifuentes-Cuéllar, D Rietzel. Suitability of PLA/TCP for fused deposition modeling. Rapid Prototyping Journal, 2012, 18(6): 500-507. https://doi.org/10.1108/13552541211272045
[13] J Khatwani, V Srivastava. Effect of process parameters on mechanical properties of solidified PLA parts fabricated by 3D printing process. 3D Printing and Additive Manufacturing Technologies, 2018, 95-104. https://doi.org/10.1007/978-981-13-0305-0_9
[14] B Akhoundi, A H Behravesh. Effect of filling pattern on the tensile and flexural mechanical properties of FDM 3D printed products. Experimental Mechanics, 2019, 59(6): 883-897. https://doi.org/10.1007/s11340-018-00467-y
[15] A Nugroho, R Ardiansyah, L Rusita. Effect of layer thickness on flexural properties of PLA (PolyLactid acid) by 3D printing. Journal of Physics Conference Series, 2018, 1130. https://iopscience.iop.org/article/. https://doi.org/10.1088/1742-6596/1130/1/012017/meta
[16] X F Zhou, Sheng-Jen, H Chen-Ching et al. Modelling and estimation of tensile behaviour of polylactic acid parts manufactured by fused deposition modelling using finite element analysis and knowledge-based library. Virtual and Physical Prototyping, 2018, 13(3): 177-190. https://doi.org/10.1080/17452759.2018.1442681
[17] P K Garg, R Singh, I P S Ahuja. Multi-objective optimization of dimensional accuracy, surface roughness and hardness of hybrid investment cast components. Rapid Prototyping Journal, 2017. https://doi.org/10.1108/RPJ-10-2015-0149
[18] M Srivastava, S Rathee, S Maheshwari, et al. Multi-objective optimisation of fused deposition modelling process parameters using RSM and fuzzy logic for build time and support material. Int. J. Rapid Manufacturing, 2018, 7: 25-42. DOI: https://doi.org/10.1504/IJRAPIDM.2018.089727
[19] A Equbal, Md I Equbal, A K Sood. PCA-based desirability method for dimensional improvement of part extruded by fused deposition modelling technology. Progress in Additive Manufacturing, 2018. https://doi.org/10.1007/s40964-018-00072-4
[20] V H Nguyen, T N Huynh, T P Nguyen, et al. Single and multi-objective optimisation of processing parameters for fused deposition modelling in 3D printing technology. International Journal of Automotive and Mechanical Engineering, 2019, 17: 7542-7551. https://doi.org/10.15282/ijame.17.1.2020.03.0558
[21] S R Rajpurohit, H K Dave. Effect of process parameters on tensile strength of FDM printed PLA part. Rapid Prototyping Journal, 2018, 24(8): 1317-1324. https://doi.org/10.1108/RPJ-06-2017-0134
[22] V DeStefano, S Khan, Al Tabada. Applications of PLA in modern medicine. Engineered Regeneration, 2020, 1: 76-87. https://doi.org/10.1016/j.engreg.2020.08.002
[23] B Wittbrodt, J M Pearce. The effects of PLA color on material properties of 3-D printed components. Additive Manufacturing, 2015, 8: 110-116. https://doi.org/10.1016/j.addma.2015.09.006
[24] R K Roy. A primer on the Taguchi method. USA: Society of Manufacturing Engineers, 2010.
[25] L K Pan, C C Wang, S L Wei, et al. Optimizing multiple quality characteristics via Taguchi method-based Grey analysis. Journal of Materials Processing Technology, 2008, 182(1-3): 107-116. https://doi.org/10.1016/j.jmatprotec.2006.07.015
[26] C C Tsao. Grey-Taguchi method to optimize the milling parameters of aluminum alloy. International Journal of Advanced Manufacturing Technology, 2009, 40(1-2): 41-48. https://doi.org/10.1007/s00170-007-1314-3
[27] S Jozić, Dn Bajić, L Celent. Application of compressed cold air cooling: Achieving multiple performance characteristics in end milling process. Journal of Cleaner Production, 2015, 100: 325-332. https://doi.org/10.1016/j.jclepro.2015.03.095
[28] O S Es-Said, R Noorani, M Mendelson, et al. Effect of layer orientation on mechanical properties of rapid prototyped samples. Materials and Manufacturing Processes, 2000, 15(1): 107-122. https://doi.org/10.1080/10426910008912976
[29] Q Sun, G M Rizvi, C T Bellehumeur, et al. Effect of processing conditions on the bonding quality of FDM polymer filaments. Rapid Prototyping Journal, 2008, 14(2): 72-80. https://doi.org/10.1108/13552540810862028
[30] T M Wang, J T Xi, Y Jin. A model research for prototype warp deformation in the FDM process. International Journal of Advanced Manufacturing Technology, 2007, 33(11-12): 1087-1096. https://doi.org/10.1007/s00170-006-0556-9.
[31] P Kulkarni, D Dutta. Deposition strategies and resulting part stiffnesses in fused deposition modeling. Journal of Manufacturing Science and Engineering, 1999, 121: 93-103. https://doi.org/10.1115/1.2830582
[32] P Geng, J Zhao, W Z Wu, et al. Effects of extrusion speed and printing speed on the 3D printing stability of extruded PEEK filament. Journal of Manufacturing Processes, 2019, 37: 266-273. https://doi.org/10.1016/j.jmapro.2018.11.023
[33] H Shekhar, A D Sahasrabudhe. Longitudinal strain dependent variation of Poisson's ratio for HTPB based solid rocket propellants in uni-axial tensile testing. Propellants, Explosives, Pyrotechnics, 2011, 36: 558-563. DOI: https://doi.org/10.1002/prep.200900079
Outlines

/