A Review- Modelling Approach and Numerical Analysis of Additive Manufacturing
by Vaishnavi Kohale* , Samidha Jawade, Ganesh Kakandikar
School of Mechanical Engineering, Dr. Vishwanath Karad MIT- World Peace University, Pune, Maharashtra, India
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 116-125, 2022; DOI: 10.55708/js0103012
Keywords: Additive manufacturing, Modelling approach, Numerical analysis, Finite Element Analysis, Thermal analysis
Received: 16 January 2022, Revised: 25 February 2022, Accepted: 02 February 2022, Published Online: 17 March 2022
AMA Style
Kohale V, Jawade S, Kakandikar G. A review- modelling approach and numerical analysis of additive manufacturing. Journal of Engineering Research and Sciences. 2022;1(3):116-125. doi:10.55708/js0103012
Chicago/Turabian Style
Kohale, Vaishnavi, Samidha Jawade, and Ganesh Kakandikar. “A Review- Modelling Approach and Numerical Analysis of Additive Manufacturing.” Journal of Engineering Research and Sciences 1, no. 3 (2022): 116–25. https://doi.org/10.55708/js0103012.
IEEE Style
V. Kohale, S. Jawade, and G. Kakandikar, “A review- modelling approach and numerical analysis of additive manufacturing,” Journal of Engineering Research and Sciences, vol. 1, no. 3, pp. 116–125, 2022.
Additive manufacturing creates 3-dimensional objects by depositing materials layer by layer. Different applications of additive manufacturing were examined to determine future growth possibilities. The current research seeks to discover existing additive manufacturing techniques based on the process mechanisms, evaluate modelling approaches based on modelling methodologies, and identify required studies. A significant number of numerical simulations are conducted to evaluate the thermal FE structure in terms of solid and powder material thermo – physical properties and permissible boundary conditions. The transient heat conduction is investigated using thermal analysis with a moving heat source.
- Pinar Zorlutuna, Nasim Annabi, Gulden Camci-Unal, Mehdi Nikkhah, “Microfabricated Biomaterials for Engineering 3D Tissues”, Advanced materials, Volume 24, Issue 14, pp. 1782-1804, 2012, doi:https://doi.org/10.1002/adma.201104631.
- Panagiotis Stavropoulos, Panagis Foteinopoulos, “Modelling of additive manufacturing processes: a review and classification”, Manufacturing Rev, Volume 5, Issue 2, pp. 1– 26, 2018, doi:https://doi.org/10.1051/mfreview/2017014.
- Cheng Sun, Yun Wang, Michael D. Mc Murtrey, Nathan D. Jerred, Frank Liou, Ju Li, “Additive manufacturing for energy: A review”, Applied Energy, Volume 282, pp. 1– 18, 2021, doi:https://doi.org/10.1016/j.apenergy.2020.116041.
- Ana Vafadar, Ferdinando Guzzomi, Alexander Rassau, Kevin Hayward, “Advances in Metal Additive Manufacturing: A Review of Common Processes, Industrial Applications, and Current Challenges”, Appl. Sciences, Volume 11, pp. 1– 26, 2021, doi:https://doi.org/10.3390/app11031213.
- Sarah Müller, EngelbertWestkämper, “Modelling of Production Processes: Theoretical Approach to Additive Manufacturing”, Procedia CIRP, Volume 72, pp. 1524–1529, 2018, doi:10.1016/j.procir.2018.03.010.
- M.M. Francois, Wayne King et al., “Modelling of additive manufacturing processes for metals: Challenges and opportunities”, Current Opinion in Solid State and Materials Science, Volume 21, Issue 4, pp. 198-206, 2017, doi:https://doi.org/10.1016/j.cossms.2016.12.001.
- N.T. Aboulkhair et al., “On the formation of AlSi10Mg single tracks and layers in selective laser melting: Microstructure and nano-mechanical properties”, Journal of Materials Processing Technology, Volume 230, pp. 88-98, 2016, doi:https://doi.org/10.1016/j.jmatprotec.2015.11.016.
- A.V. Gusarov, I. Smurov, “Modeling the interaction of laser radiation with powder bed at selective laser melting”, Physics Procedia, Volume 5, pp. 381-394, 2010, doi:https://doi.org/10.1016/j.phpro.2010.08.065.
- Shekhar Srivastava, Rajiv Kumar Garg, Vishal S. Sharma, Anish Sachdeva, “Measurement and Mitigation of Residual Stress in Wire Arc Additive Manufacturing: A Review of Macro Scale Continuum Modelling Approach”, Archives of Computational Methods in Engineering, pp. 3491–3515, 2020, doi:https://doi.org/10.1007/s11831-020-09511-4.
- K.E.K. Vimal, M. Naveen Srinivas, Sonu Raja, “Wire arc additive manufacturing of aluminium alloys: A review”, Materials Today: Proceedings, pp. 1139-1145, 2020, doi: https://doi.org/10.1016/j.matpr.2020.09.153.
- S.H. Choi, S. Samadevam, University of Hong Kong, “Modelling and optimization of rapid prototyping”, Computers in Industry, Volume 47, Issue 1, pp. 39-53, 2002, doi:https://doi.org/10.1016/S0166-3615(01)00140-3.
- Rishi Ganeriwala, Tarek I. Zohdi, “Multiphysics modeling and simulation of selective laser sintering manufacturing processes”, Procedia CIRP, Volume 14, pp. 299-304, 2014, doi:https://doi.org/10.1016/j.procir.2014.03.015.
- Mohamad Bayat, Wen Dong, Jesper Thorborg, Albert C. To, Jesper H. Hattel, “A review of multi-scale and multi-physics simulations of metal additive manufacturing processes with focus on modeling strategies”, Additive Manufacturing, Volume 47, pp. 1-25, 2021, doi: https://doi.org/10.1016/j.addma.2021.102278.
- Chritian Seidal, Michael F.Zaeh, “Multi-scale modelling approach for contributing to reduced distortion in parts made by laser-based powder bed fusion”, Procedia CIRP, Volume 67, pp. 197-202, 2018, doi:https://doi.org/10.1016/j.procir.2017.12.199.
- Alessandro Salmi et al., “On the effect of part orientation on stress distribution in AlSi10Mg specimens fabricated by laser powder bed fusion (L-PBF)”, Procedia CIRP, Volume 67, pp.191-196, 2018, doi:https://doi.org/10.1016/j.procir.2017.12.198.
- Kurian Antony, N. Arivazhagan, K. Senthilkumaran, “Numerical and experimental investigations on laser melting of stainless steel 316L metal powders”, Journal of Manufacturing Processes, Volume 16, Issue 3, pp. 345-355, 2014, doi:https://doi.org/10.1016/j.jmapro.2014.04.001.
- Chunlei Qiu, Chinnapat Panwisawa, “On the role of melt flow into the surface structure and porosity development during selective laser melting”, Acta Materialia, Volume 96, Pages 72-79, 2015, doi:https://doi.org/10.1016/j.actamat.2015.06.004.
- Ivanna Baturynska et al., “Optimization of process parameters for powder bed fusion additive manufacturing by combination of machine learning and finite element method: A conceptual framework”, Procedia CIRP, Volume 67, pp. 227-232, 2018, doi:https://doi.org/10.1016/j.procir.2017.12.204.
- Iñaki Setien, Michele Chiumenti, Sjoerd van der Veen, Maria San Sebastian, Fermín Garciandía, Alberto Echeverría, “Empirical methodology to determine inherent strains in additive manufacturing”, Computers and Mathematics with Applications, Volume 78, Issue 7, pp. 2282-2295, 2019, doi:https://doi.org/10.1016/j.camwa.2018.05.015.
- Suli Li, Kaiyue Ma, Chao Xu, Laixia Yang, Bingheng Lu, “Numerical Analysis and Experimental Verification of Resistance Additive Manufacturing”, Crystals, Volume 12, Issue 2, pp. 1-32, 2022, doi:https://doi.org/10.3390/cryst12020193.
- Michele Chiumenti, Eric Neiva, et al., “Numerical modelling and experimental validation in selective laser melting” Additive Manufacturing, Volume 18, pp. 171-185, 2017, doi:https://doi.org/10.1016/j.addma.2017.09.002.
- Bruno M. Marques et al., “Numerical Analysis of Residual Stresses in Parts Produced by Selective Laser Melting Process”, Procedia Manufacturing, Volume 47, pp. 1170-1177, 2020, doi:https://doi.org/10.1016/j.promfg.2020.04.167.
- Farshid Hajializadeh, Ayhan Ince, “Short review on modeling approaches for metal additive manufacturing process”, Material design and processing communications, Volume 2, Issue 2, pp. 1-7, 2020, doi:https://doi.org/10.1002/mdp2.56.
- V. Ricottal, R. I. Campbell, T. Ingrassia, V. Nigrelli, “A new design approach for customised medical devices realized by additive manufacturing”, International Journal on Interactive Design and Manufacturing, Volume 14, pp. 1171–1178, 2020, doi:https://doi.org/10.1007/s12008-020-00705-5.
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