Title: Process Sensitivity Study of Metal Fused Filament Fabrication (MF3) Using Finite Element-Based Process Simulation Approach
Authors: Mohammad Qasim Shaikh, Paramjot Singh, Pierre-Yves Lavertu, Kunal H Kate and Sundar V. Atre
DOI: 10.33599/nasampe/s.20.0187
Abstract: Metal fused filament fabrication (MF3) combines fused filament fabrication and sintering processes to fabricate complex metal components. In design for MF3 (DfMF3), it is important to understand how part design, printing parameters and material properties of filament affect MF3 printing process in terms of processability, part quality, and ensuing properties. Understanding the interrelationships between material-process-design variations is essential to leverage the potential of MF3 and deploy it to industrial applications. The goal of the study is to conduct a sensitivity analysis to identify the significance of each input parameter in terms of influence on the output parameters. FEA-based simulations were used to estimate the process outcome in response to variable inputs. However, simulating and optimizing the MF3 printing process is a complex problem having a number of linked geometry, process and material variables to be considered that influence the process output parameters like deflection, warpage, residual stress, thermal history and print time. Having multiple objective functions for process optimization makes it very difficult to identify critical parameters for designing part geometry, processing conditions and powder-binder feedstock for MF3. Towards the goal of identifying the level of significance of various input variables during MF3 process, a systematic procedure for sensitivity analysis has been successfully developed for the printing phase of the MF3 process. In this sensitivity analysis, all geometry, process and material input variables were varied within a meaningful window one at a time, and influence on process outcome was noted in terms of output parameters. The present sensitivity analysis procedure is expected to be an invaluable tool not only for the materials engineer who has to develop an optimal formulation of MF3 material, but also for the design engineer who has to determine the critical input parameters for given design targets, as well as for the production engineer who has to optimize and monitor the production stage.
References: 1. Joamin Gonzalez-Gutierrez, Santiago Cano, Stephan Schuschnigg, Christian Kukla, Janak Sapkota, Clemens Holzer, Additive manufacturing of metallic and ceramic components by the material extrusion of highly-filled polymers: a review and future perspectives. Materials 2018. 11(5): p. 840 2. Paramjot Singh, Qasim Shaikh, Vamsi K. Balla, Sundar V. Atre, Kunal H. Kate, Estimating powder-polymer material properties used in design for metal fused filament fabrication (DfMF3), JOM (2020) 72: 485. 3. Yvonne Thompson, Joamin Gonzalez-Gutierrez, Christian Kukla, Peter Felfer, Fused filament fabrication, debinding and sintering as a low cost additive manufacturing method of 316L stainless steel, Additive Manufacturing 30 (2019) 100861 4. Guohua Wu, Noshir A. Langrana, Rajendra Sadanji, Stephen Danforth, Solid freeform fabrication of metal components using fused deposition of metals. Materials & Design, 2002. 23(1): p. 97-105. 5. Walter Lengauer, Ivica Duretek, Markus Fürst, Viktoria Schwarz, et al., Fabrication and properties of extrusion-based 3D-printed hardmetal and cermet components. International Journal of Refractory Metals and Hard Materials, 2019. 82: p. 141-149. 6. Luquan Ren, Xueli Zhou, Zhengyi Song, Che Zhao, Qingping Liu, et al., Process parameter optimization of extrusion-based 3D metal printing utilizing PW–LDPE–SA binder system. Materials, 2017. 10(3): p. 305. 7. Seokyoung Ahn, Seong Jin Park, Shiwoo Lee, Sundar V. Atre, Randall M. German, Effect of powders and binders on material properties and molding parameters in iron and stainless steel powder injection molding process. Powder Technology 193 (2009) 162–169 8. Antonio Armillotta, Mattia Bellotti, Marco Cavallaro, Warpage of FDM parts: experimental tests and analytic model. Robotics and Computer–Integrated Manufacturing 50 (2018) 140–152 9. Pedram Parandoush, Dong Lin, A review on additive manufacturing of polymer-fiber composites. Composite Structures 182 (2017) 36–53 10. Rafael Quelho de Macedo, Rafael Thiago Luiz Ferreira, Residual thermal stress in fused deposition modelling, 24th edn. (2017), ABCM International Congress of Mechanical Engineering, Curitiba 11. Miquel Domingo-Espin, Josep M. Puigoriol-Forcada, Andres-Amador Garcia-Granada, Jordi Llumà, et al, Mechanical property characterization and simulation of fused deposition modeling Polycarbonate parts. Materials & Design 83 (2015) 670–677 12. Huanxiong Xia, Jiacai Lu, Sadegh Dabiri, Gretar Tryggvason, Fully resolved numerical simulations of fused deposition modeling. Part I: fluid flow. Rapid Prototyping Journal 24/2 (2018) 463–476 13. Yong Zhou Gang Xiong, Timo Nyberg, Dan Liu, Temperature analysis in the fused deposition modeling process. IEEE Computer Society ICISCE.2016.150 14. S.F. Costa, F.M. Duarte, J.A. Covas, Thermal conditions affecting heat transfer in FDM/FFE: a contribution towards the numerical modelling of the process. Virtual and Physical Prototyping, 2014. https://doi.org/10.1080/17452759.2014.984042. 15. Yizhuo Zhang, Y. Kevin Chou, 3D FEA simulations of fused deposition modeling process. ASME International Conference on Manufacturing Science and Engineering, 2006. Ypsilanti, MI. 16. Alberto Cattenone, Simone Morganti, Gianluca Alaimo, Ferdinando Auricchio, Finite element analysis of additive manufacturing based on fused deposition modeling (FDM): distortions prediction and comparison with experimental data. Journal of Manufacturing Science and Engineering, 2018. https://doi.org/10.1115/1.4041626. 17. B. Barmore, Fused Filament Fabrication of Filled Polymers for Metal Additive Manufacturing. Mechanical Engineering, Oregon State University, 2016, pp. 55–60. 18. Tomas Webbe Kerekes, Hyoungjun Lim, Woong Yeol Joe, Gun Jin Yun, Characterization of process–deformation/damage property relationship of fused deposition modeling (FDM) 3D-printed specimens. Additive Manufacturing 25 (2019) 532–544 19. Filip Górski, Wiesław Kuczko, Radosław Wichniarek, Influence of process parameters on dimensional accuracy of parts manufactured using fused deposition modelling technology. Advances in Science and Technology Research Journal. DOI: 10.5604/20804075.1062340 20. J. Giannatsis, K. Sofos, V. Canellidis, D. Karalekas, V. Dedoussis, Investigating the influence of build parameters on the mechanical properties of FDM parts. Innovative Developments in Virtual and Physical Prototyping, Dec 2011. Publisher: CRC Press. 21. Gokulakrishnan Jothibabua, Saravana Kumar Gurunathanb, Surrogate Based Sensitivity Analysis of Part Strength due to Process Parameters in Fused Deposition Modelling. Procedia Computer Science 133 (2018) 772–778 22. B.H. Lee, J. Abdullah, Z.A. Khan, Optimization of rapid prototyping parameters for production of flexible ABS object, Journal of Materials Processing Technology 169 (2005) 54–61 23. Emily R. Fitzharris, Narumi Watanabe, David W. Rosen, Meisha L. Shofner, Effects of material properties on warpage in fused deposition modeling parts, The International Journal of Advanced Manufacturing Technology (2018) 95:2059–2070. https://doi.org/10.1007/s00170-017-1340-8 24. Bharath Vasudevarao, Dharma Prakash Natarajan, Mark Henderson, Anshuman Razdan, Sensitivity of RP surface finish to process parameter variation, https://www.researchgate.net/publication/2467464 25. Sundar.V. Atre, S.J. Park, R. Zauner, Randall M. German, Process simulation of powder injection moulding: Identification of significant parameters during mould filling phase, Powder Metallurgy (2007), 50:1, 76-85. 26. A. El Moumen, M. Tarfaoui, K. Lafdi, Modelling of the temperature and residual stress fields during 3D printing of polymer composites, The International Journal of Advanced Manufacturing Technology (2019) 104:1661–1676. 27. Q. Sun, G.M. Rizvi, C.T. Bellehumeur, P. Gu, Effect of processing conditions on the bonding quality of FDM polymer filaments, Rapid Prototyping Journal 14/2 (2008) 72–80. 28. Céline Bellehumeur, Longmei Li, Qian Sun, Peihua Gu, Modeling of Bond Formation Between Polymer Filaments in the Fused Deposition Modeling Process, SME Journal of Manufacturing Processes Vol. 6/No. 22004 29. e-Xstream, Digimat-AM simulation solution for Additive Manufacturing. https://www.e-xstream.com/product/digimat-am. Accessed 30 Dec 2019. 30. Alphastar, Genoa Additive Manufacturing design tool and software suite for polymers, metals and ceramics. http://www.alphastarcorp.com/products/genoa-3dp-simulation/. Accessed 30 Dec 2019. 31. Nikzad, M., S. Masood, and I. Sbarski, Thermo-mechanical properties of a highly filled polymeric composites for fused deposition modeling. Materials & Design, 2011. 32(6): p. 3448-3456.
Conference: SAMPE 2020 | Virtual Series
Publication Date: 2020/06/01
SKU: TP20-0000000187
Pages: 17
Price: FREE
Get This Paper