Experimental and Numerical Investigation of Fatigue Behavior of Polylactic acid Components Made by Additive Manufacturing Method

Document Type : Research Article

Authors

1 Department of mechanical engineering, amirkabir university of technology, tehran, iran.

2 Mechanical Engineering Department, Amirkabir university of technology

Abstract

Additive manufacturing includes emerging methods that with reduced production time and ability to produce parts with complex geometry, are now widely used in variety of industries. Fused deposition modeling process is one of the most popular methods of additive manufacturing and so far, a lot of research has been done to model and improve the mechanical behavior of the parts produced by this method. The purpose of this research is to conduct an experimental study to model and investigate the effect of fused deposition modelling process variable on fatigue behavior of poly-lactic acid components, along with the development of numerical tools to predict this behavior. This paper uses the Taguchi algorithm to design experiments for experimental study. By performing fatigue testing on the sample and analyzing the result, the optimal value of the desired variable, as well as their effects are determined that the variable of fill density, nozzle temperature and layer thickness have the highest impact on fatigue life, respectively. The finite element simulation is performed by assuming assumption and its results are evaluated with the values of the optimized sample fatigue test. The result of experimental modeling and finite element simulation show that the models presented predict the poly-lactic acid components parts fraction with R-Sq 96.3% and 98.7% fatigue behavior, respectively. 

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References

 [1] N. Mohan, P. Senthil, S. Vinodh, N. Jayanth, A review on composite materials and process parameters optimisation for the fused deposition modelling process, Virtual and Physical Prototyping, 12(1) (2017) 47-59.
[2] M. Attaran, The rise of 3-D printing: The advantages of additive manufacturing over traditional manufacturing, Business Horizons, 60(5) (2017) 677-688.
[3] M. Domingo-Espin, J.M. Puigoriol-Forcada, A.-A. Garcia-Granada, J. Llumà, S. Borros, G. Reyes, Mechanical property characterization and simulation of fused deposition modeling Polycarbonate parts, Materials & Design, 83 (2015) 670-677.
[4] 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.
[5] P.K. Gurrala, S.P. Regalla, Part strength evolution with bonding between filaments in fused deposition modelling, Virtual and Physical Prototyping, 9(3) (2014) 141-149.
[6] A.K. Sood, R.K. Ohdar, S. Mahapatra, Experimental investigation and empirical modelling of FDM process for compressive strength improvement, Journal of Advanced Research, 3 (2012).
[7] R. Singh, Some investigations for small‐sized product fabrication with FDM for plastic components, Rapid Prototyping Journal, 19(1) (2013) 58-63.
[8] I. Durgun, R. Ertan, Experimental investigation of FDM process for improvement of mechanical properties and production cost, Rapid Prototyping Journal, 20(3) (2014) 228-235.
[9] L. Wahl, S. Maas, D. Waldmann, A. Zürbes, P. Frères, Shear stresses in honeycomb sandwich plates: Analytical solution, finite element method and experimental verification, Journal of Sandwich Structures & Materials, 14(4) (2012) 449-468.
[10] M.F. Afrose, S.H. Masood, P. Iovenitti, M. Nikzad, I. Sbarski, Effects of part build orientations on fatigue behaviour of FDM-processed PLA material, Progress in Additive Manufacturing, 1(1) (2016) 21-28.
[11] G. Gomez-Gras, R. Jerez-Mesa, J.A. Travieso-Rodriguez, J. Lluma-Fuentes, Fatigue performance of fused filament fabrication PLA specimens, Materials & Design, 140 (2018) 278-285.
[12] S.C.a.Y.W. G. Taguchi, Quality Engineering: Strategy in Research and Development, in:  Taguchi's Quality Engineering Handbook, 2004, pp. 39-55.
[13] YouSu 3D, your professional 3D pen and 3D filament supplier!, in:  Yousu, 2020.
[14] ASTM D7774 - 17, in:  ASTM International - Standards Worldwide, 2020.
[15] O.A. Mohamed, S.H. Masood, J.L. Bhowmik, Optimization of fused deposition modeling process parameters: a review of current research and future prospects, Advances in Manufacturing, 3(1) (2015) 42-53.
[16] R.K. Roy, A primer on the Taguchi method, Van Nostrand Reinhold, New York, 1990.
[17] M.C.L. P. H. Wirsching  Fatigue under wide band random stresses, Journal of the Structural Division, 106(7) (1980) 1593-1607.
[18] Y.-L. Lee, 2 - FATIGUE DAMAGE THEORIES, in: Y.-L. Lee, J.W.O. Pan, R.B. Hathaway, M.E. Barkey (Eds.) Fatigue Testing and Analysis, Butterworth-Heinemann, Burlington, 2005, pp. 57-76.
[19] R. Browell, A. Hancq, Calculating and displaying fatigue results, Ansys Inc, 2 (2006).
 
Amirkabir Journal of Mechanical Engineering
Volume 53, Issue 6
September 2021
Pages 3703-3716

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