Modelling and estimation of tensile behaviour of polylactic acid parts manufactured by fused deposition modelling using finite element analysis and knowledge-based library

References

• Ahn, S.-H., et al., 2002. Anisotropic material properties of fused deposition modeling ABS. Rapid Prototyping Journal, 8 (4), 248–257. doi: 10.1108/13552540210441166
   Web of Science ®Google Scholar
• ASTM, 2014. Standard test method for tensile properties of plastic. ASTM D638. US: ASTM.
   Google Scholar
• Baikerikar, P.J. and Turner, C.J., 2017. Comparison of as-built FEA simulations and experimental results for additively manufactured dogbone geometries. In: ed. ASME 2017 international design engineering technical conferences and computers and information in engineering conference, V001T002A021-V001T002A021.
   Google Scholar
• Bellehumeur, C., et al., 2004. Modeling of bond formation between polymer filaments in the fused deposition modeling process. Journal of Manufacturing Processes, 6 (2), 170–178. doi: 10.1016/S1526-6125(04)70071-7
   Google Scholar
• Bowden, G.J., Maier, H.R., and Dandy, G.C., 2002. Optimal division of data for neural network models in water resources applications. Water Resources Research, 38 (2), 2–1–2–11. doi: 10.1029/2001WR000266
   Web of Science ®Google Scholar
• Cantrell, J., et al., 2017. Experimental characterization of the mechanical properties of 3D printed ABS and polycarbonate parts. Advancement of Optical Methods in Experimental Mechanics, 55, 89–105. doi: 10.1007/978-3-319-41600-7_11
   Google Scholar
• Carneiro, O., Silva, A., and Gomes, R., 2015. Fused deposition modeling with polypropylene. Materials & Design, 83, 768–776. doi: 10.1016/j.matdes.2015.06.053
   Web of Science ®Google Scholar
• Chacón, J., et al., 2017. Additive manufacturing of PLA structures using fused deposition modelling: effect of process parameters on mechanical properties and their optimal selection. Materials & Design, 124, 143–157. doi: 10.1016/j.matdes.2017.03.065
   Web of Science ®Google Scholar
• Chen, Y., et al., 2013. Quantitative analysis of lithium-ion battery capacity prediction via adaptive bathtub-shaped function. Energies, 6 (6), 3082–3096. doi: 10.3390/en6063082
   Web of Science ®Google Scholar
• Chockalingam, K., Jawahar, N., and Praveen, J., 2016. Enhancement of anisotropic strength of fused deposited ABS parts by genetic algorithm. Materials and Manufacturing Processes, 31 (15), 2001–2010. doi: 10.1080/10426914.2015.1127949
   Web of Science ®Google Scholar
• Deng, S., 2012. Progressive damage modeling of tensile deformation of a fiber reinforced composite laminate under strain rate effects. Laramie, WY: University of Wyoming.
   Google Scholar
• Deng, S. and Suresh, K., 2017. Topology optimization under thermo-elastic buckling. Structural and Multidisciplinary Optimization, 55 (5), 1759–1772. doi: 10.1007/s00158-016-1611-2
   Web of Science ®Google Scholar
• Durgun, I. and Ertan, R., 2014. Experimental investigation of FDM process for improvement of mechanical properties and production cost. Rapid Prototyping Journal, 20 (3), 228–235. doi: 10.1108/RPJ-10-2012-0091
   Web of Science ®Google Scholar
• Es-Said, O., et al., 2000. Effect of layer orientation on mechanical properties of rapid prototyped samples. Materials and Manufacturing Processes, 15 (1), 107–122. doi: 10.1080/10426910008912976
   Web of Science ®Google Scholar
• Fernández, S., et al., 2016. Additive manufacturing and performance of functional hydraulic pump impellers in fused deposition modeling technology. Journal of Mechanical Design, 138 (2), 024501 (1–4).
   Web of Science ®Google Scholar
• Fiedler, B., et al., 2001. Finite-element modeling of initial matrix failure in CFRP under static transverse tensile load. Composites Science and Technology, 61 (1), 95–105. doi: 10.1016/S0266-3538(00)00198-6
   Web of Science ®Google Scholar
• FlashForge, 2017. FlashForge dreamer 3D printer user guide [online]. Available from: http://www.flashforge.com/wp-content/uploads/2017/08/FlashForge-Dreamer-User-Guide.V.20170810.pdf [Accessed 30 January 2018].
   Google Scholar
• Garg, A. and Bhattacharya, A., 2017. An insight to the failure of FDM parts under tensile loading: finite element analysis and experimental study. International Journal of Mechanical Sciences, 120, 225–236. doi: 10.1016/j.ijmecsci.2016.11.032
   Web of Science ®Google Scholar
• Letcher, T. and Waytashek, M., 2014. Material property testing of 3D-printed specimen in PLA on an entry-level 3D printer. In: ed. ASME 2014 international mechanical engineering congress and exposition, 14–22.
   Google Scholar
• Liu, Y. and Hu, H., 2015. Finite element analysis of compression behaviour of 3D spacer fabric structure. International Journal of Mechanical Sciences, 94–95, 244–259. doi: 10.1016/j.ijmecsci.2015.02.020
   Web of Science ®Google Scholar
• Mamadapur, M.S., 2010. Constitutive modeling of fused deposition modeling acrylonitrile butadiene styrene (ABS). College Station, TX: Texas A & M University.
   Google Scholar
• Martíneza, J., et al., 2013. Comparative between FEM models for FDM parts and their approach to a real mechanical behavior. Procedia Engineering, 63, 878–884. doi: 10.1016/j.proeng.2013.08.230
   Google Scholar
• Masood, S.H., Mau, K., and Song, W., 2010. Tensile properties of processed FDM polycarbonate material. Materials Science Forum, 654–656, 2556–2559. doi: 10.4028/www.scientific.net/MSF.654-656.2556
   Google Scholar
• Moldflow Plastics Labs, 2007. Moldflow material testing report MAT2238-natureworks PLA. Minnetonka: Cargill Dow LLC.
   Google Scholar
• Montgomery, D.C., Runger, G.C., and Hubele, N.F., 2009. Engineering statistics. Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Nidagundi, V.B., Keshavamurthy, R., and Prakash, C., 2015. Studies on parametric optimization for fused deposition modelling process. Materials Today: Proceedings, 2 (4–5), 1691–1699. doi: 10.1016/j.matpr.2015.07.097
   Google Scholar
• Onwubolu, G.C. and Rayegani, F., 2014. Characterization and optimization of mechanical properties of ABS parts manufactured by the fused deposition modelling process. International Journal of Manufacturing Engineering, 2014, 598531 (1–13).
   Google Scholar
• Rankouhi, B., et al., 2016. Failure analysis and mechanical characterization of 3D printed ABS with respect to layer thickness and orientation. Journal of Failure Analysis and Prevention, 16 (3), 467–481. doi: 10.1007/s11668-016-0113-2
   Web of Science ®Google Scholar
• Roy, R.K., 2001. Design of experiments using the Taguchi approach: 16 steps to product and process improvement. Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Sarle, W.S., 1994. Neural networks and statistical models.
   Google Scholar
• Sayre III, R., 2014. A comparative finite element stress analysis of isotropic and fusion deposited 3D printed polymer. Masters of engineering thesis. Rensselaer Polytechnic Institute.
   Google Scholar
• Shaikhina, T. and Khovanova, N.A., 2017. Handling limited datasets with neural networks in medical applications: a small-data approach. Artificial Intelligence in Medicine, 75, 51–63. doi: 10.1016/j.artmed.2016.12.003
   PubMed Web of Science ®Google Scholar
• Shojib Hossain, M., et al., 2014. Improved mechanical properties of fused deposition modeling-manufactured parts through build parameter modifications. Journal of Manufacturing Science and Engineering, 136 (6), 061002 (1–12). doi: 10.1115/1.4028538
   Web of Science ®Google Scholar
• Sood, A.K., Ohdar, R., and Mahapatra, S., 2010. Parametric appraisal of mechanical property of fused deposition modelling processed parts. Materials & Design, 31 (1), 287–295. doi: 10.1016/j.matdes.2009.06.016
   Web of Science ®Google Scholar
• Stephen, A., Dalgarno, K., and Munguia, J., 2013. Quality assurance and process monitoring of fused deposition modelling made parts. In: ed. High value manufacturing: advanced research in virtual and rapid prototyping: proceedings of the 6th international conference on advanced research in virtual and rapid prototyping, 31–35.
   Google Scholar
• Stratasys Ltd., 2014a. Creating variable density parts [online]. Available from: http://usglobalimages.stratasys.com/Main/Files/Best%20Practices_BP/BP_FDM_VariableDensity_1215.pdf?v=635967464236479750 [Accessed 30 January 2018].
   Google Scholar
• Stratasys Ltd., 2014b. Absplus spec sheet [ online]. Stratasys Ltd. Available from: http://usglobalimages.stratasys.com/Main/Files/Material_Spec_Sheets/MSS_FDM_ABSplusP430.pdf [Accessed 17 August 2017].
   Google Scholar
• Toyserkani, E., Shanjani, Y., and Vlasea, M., 2017. 3D variable density printing [online]. Available from: https://uwaterloo.ca/research/sites/ca.research/files/uploads/files/3d_variable_density_printing-ncs_7349_2014.pdf [Accessed 30 January 2018].
   Google Scholar
• Tymrak, B., Kreiger, M., and Pearce, J.M., 2014. Mechanical properties of components fabricated with open-source 3-D printers under realistic environmental conditions. Materials & Design, 58, 242–246. doi: 10.1016/j.matdes.2014.02.038
   Web of Science ®Google Scholar
• Wang, H., et al., 2016. Non-metallic coating thickness prediction using artificial neural network and support vector machine with time resolved thermography. Infrared Physics & Technology, 77, 316–324. doi: 10.1016/j.infrared.2016.06.015
   Web of Science ®Google Scholar
• Zein, I., et al., 2002. Fused deposition modeling of novel scaffold architectures for tissue engineering applications. Biomaterials, 23 (4), 1169–1185. doi: 10.1016/S0142-9612(01)00232-0
   PubMed Web of Science ®Google Scholar
• Zhang, Y., Mamadapur, M.S., and Wang, J., 2015. Constitutive modelling for fused deposition modelling of acrylonitrile butadiene styrene (ABS) under elastic response. International Journal of Rapid Manufacturing, 5 (1), 76–94. doi: 10.1504/IJRAPIDM.2015.073549
   Google Scholar
• Zhou, X., et al., 2017a. Cycle life estimation of lithium-ion polymer batteries using artificial neural network and support vector machine with time-resolved thermography. Microelectronics Reliability, 79, 48–58. doi: 10.1016/j.microrel.2017.10.013
   Web of Science ®Google Scholar
• Zhou, X., Hsieh, S.-J., and Sun, Y., 2017b. Experimental and numerical investigation of the thermal behaviour of polylactic acid during the fused deposition process. Virtual and Physical Prototyping, 12 (3), 221–233. doi: 10.1080/17452759.2017.1317214
   Web of Science ®Google Scholar
• Ziemian, C., Sharma, M., and Ziemian, S., 2012. Anisotropic mechanical properties of ABS parts fabricated by fused deposition modelling. New York, NY: INTECH Open Access.
   Google Scholar