Abstract
Additive manufacturing (AM) has gained enormous attention in the present digital era of sustainable manufacturing. It is commonly known as 3D printing and is one of the foundations of Industry 4.0. This article presents a fuzzy set-based methodology for the estimation of energy consumption of a common AM process, viz., selective laser sintering (SLS). SLS is a powder bed fusion AM process that uses raw material in the form of a polymeric powder to fabricate prototypes as well as end-usable parts made of plastics. The energy estimation of SLS is important for the comparison of its efficiency with other manufacturing processes and the assessment of its sustainability. The various energy consumption elements of SLS process are described. Initially, a deterministic energy estimation model comprising necessary parameters is presented. The deterministic model is then converted to a fuzzy set-based model for handling uncertainties in the energy estimation. For this, the uncertain parameters are considered as fuzzy and suitable fuzzy arithmetic operations are performed. For simplicity, linear triangular fuzzy numbers are used in this work for uncertain parameters. Construction of fuzzy membership functions for input parameters is based on the low, most likely and high estimates of experts. As a result of computations using fuzzy arithmetic, energy consumption can be obtained as a fuzzy number. The developed energy consumption model is demonstrated by examples of two different parts fabricated by SLS. Energy consumption is obtained for a single quantity as well as for multiple quantities of the same part. Full utilization of the machine chamber yields the minimum energy consumption per quantity. For example, energy consumption reduced by 81% for a part, when 18 quantities were made instead of just a single quantity.
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References
Mognol P, Lepicart D, Perry N (2006) Rapid prototyping: energy and environment in the spotlight. Rapid Prototyp J 12(1):26–34. https://doi.org/10.1108/13552540610637246
Sreenivasan R, Bourell D (2010) Sustainability study in selective laser sintering—an energy perspective. Minerals, Metals and Materials Society/AIME, 420 Commonwealth Dr., P. O. Box 430 Warrendale PA 15086 USA. 14–18 Feb
Baumers M, Tuck C, Bourell DL, Sreenivasan R, Hague R (2011) Sustainability of additive manufacturing: measuring the energy consumption of the laser sintering process. Proc IMechE, Part B: J Eng Manuf 225(12):2228–2239. https://doi.org/10.1177/0954405411406044
Paul R, Anand S (2012) Process energy analysis and optimization in selective laser sintering. J Manuf Sys 31(4):429–437. https://doi.org/10.1016/j.jmsy.2012.07.004
Meteyer S, Xu X, Perry N, Zhao YF (2014) Energy and material flow analysis of binder-jetting additive manufacturing processes. Proc CIRP 15:19–25. https://doi.org/10.1016/j.procir.2014.06.030
Kellens K, Renaldi R, Dewulf W, Kruth JP, Duflou JR (2014) Environmental impact modeling of selective laser sintering processes. Rapid Prototyp J 20(6):459–470. https://doi.org/10.1108/RPJ-02-2013-0018
Peng T (2016) Analysis of energy utilization in 3D printing processes. Proc CIRP 40:62–67. https://doi.org/10.1016/j.procir.2016.01.055
Yang Y, Li L, Pan Y, Sun Z (2017) Energy consumption modeling of stereolithography-based additive manufacturing toward environmental sustainability. J Indus Eco 21(S1):168–178. https://doi.org/10.1111/jiec.12589
Morrow WR, Qi H, Kim I, Mazumder J, Skerlos SJ (2007) Environmental aspects of laser-based and conventional tool and die manufacturing. J Clean Prod 15(10):932–943. https://doi.org/10.1016/j.jclepro.2005.11.030
Ullah AS, Hashimoto H, Kubo A, Tamaki JI (2013) Sustainability analysis of rapid prototyping: material/resource and process perspectives. Int J Sustain Manuf 3(1):20–36. https://doi.org/10.1504/IJSM.2013.058640
Telenko C, Seepersad CC (2012) A comparison of the energy efficiency of selective laser sintering and injection molding of nylon parts. Rapid Prototyp J 18(6):472–481. https://doi.org/10.1108/13552541211272018
Sharma F, Dixit US (2019) Fuzzy set based cost model of additive manufacturing with specific example of selective laser sintering. J Mech Sci Technol 33(9):4439–4449. https://doi.org/10.1007/s12206-019-0840-x
Franco A, Romoli L (2012) Characterization of laser energy consumption in sintering of polymer based powders. J Mat Process Technol 212(4):917–926. https://doi.org/10.1016/j.jmatprotec.2011.12.003
Gibson I, Rosen DW, Stucker B (2014) Additive manufacturing technologies, vol 17. Springer, New York. https://doi.org/10.1007/978-1-4419-1120-9
Nan W, Pasha M, Ghadiri M (2020) Numerical simulation of particle flow and segregation during roller spreading process in additive manufacturing. Powder Technol 364:811–821. https://doi.org/10.1016/j.powtec.2019.12.023
Haeri S, Wang Y, Ghita O, Sun J (2016) Discrete element simulation and experimental study of powder spreading process in additive manufacturing. Powder Technol 306:45–54. https://doi.org/10.1016/j.powtec.2016.11.002
https://xyzwebsite.blob.core.windows.net/wwwportal/MfgPro230%20xS%20_SPEC_171006-2.pdf. Accessed on 5 July 2020
https://homeguides.sfgate.com/much-electricity-quartz-infrared-heater-use-87458.html#:~:text=Quartz%20infrared%20heaters%20use%20as,of%20750%20to%201500%20watts. Accessed on 5 July 2020
https://www.arptech.com.au/data/sls-duraform.pdf. Accessed on 5 July 2020
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Sharma, F., Dixit, U.S. (2021). A Fuzzy Set-Based Energy Consumption Model of Selective Laser Sintering. In: Bag, S., Paul, C.P., Baruah, M. (eds) Next Generation Materials and Processing Technologies. Springer Proceedings in Materials, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-16-0182-8_40
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