Energy efficiency evaluation of metal laser direct deposition based on process characteristics and empirical modeling
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Metal laser direct deposition (MLDD) is a typical process in additive manufacturing (AM), which permits the build of complex and fully dense metallic parts by using laser to melt the metal powder layer by layer. However, the process is characterized by high energy consumption and low energy efficiency. This paper established an empirical model to characterize the relationship between process parameters and energy efficiency for MLDD based on the essence of thermodynamics physical energy conversion. Additionally, a recognition method of cross-sectional profile of the deposited layer was achieved by adding tungsten carbide (WC) powder, which greatly improved the measurement reliability. Taguchi experiment and regression identification method were applied, and the relative error of the model was less than 10%. The results show that laser power has significant influence on the process energy efficiency of MLDD. The energy efficiency of single-track multi-layer stacking (SMS) process and multi-track single-layer lapping (MSL) process increased by 5.7% and 50.3%, respectively, under the optimal process parameter condition. The proposed model can be used effectively for the energy efficiency evaluation and offer the potential for improving the sustainability of MLDD.
KeywordsEnergy efficiency Metal laser direct deposition (MLDD) Cross-sectional profile Taguchi experiment
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This research investigation was supported by the National Natural Science Foundation of China (Grant No. 51605156) and Science and Technology Project of Shenzhen (Grant No. JCYJ20160530192452107). Their financial contributions are gratefully acknowledged.
- 14.Guo P, Zou B, Huang C, Gao H (2017) Study on microstructure, mechanical properties and machinability of efficiently additive manufactured AISI 316L stainless steel by high-power direct laser deposition. J Mater Process Technol 240:12–22. https://doi.org/10.1016/j.jmatprotec.2016.09.005 CrossRefGoogle Scholar
- 23.Clemon L, Sudradjat A, Jaquez M, Krishna A, Rammah M, Dornfeld D (2013) Precision and energy usage for additive manufacturing. In: ASME 2013 International Mechanical Engineering Congress and Exposition (IMECE2013). American Society of Mechanical Engineers, 2013. https://doi.org/10.1115/IMECE2013-65688
- 25.Garg A, Lam JSL, Savalani MM (2016) A new variant of genetic programming in formulation of laser energy consumption model of 3d printing process. Handbook of Sustainability in Additive Manufacturing, pp 31–50. https://doi.org/10.1007/978-981-10-0549-7_3
- 26.Kellens K, Yasa E, Renaldi R, Dewulf W, Kruth JP, Duflou J (2011) Energy and resource efficiency of SLS/SLM processes. Proceedings of the 23rd Solid Freeform Fabrication Symposium 2011: 1–16Google Scholar
- 28.Baumers M, Tuck C, Wildman R, Ashcroft I, Hague R (2011) Energy inputs to additive manufacturing does capacity utilization matter. Proceedings of the 23rd Solide Freeform Fabrication Symposium 2011: 30-40. 29Google Scholar
- 29.Baumers M (2012) Economic aspects of additive manufacturing: benefits, costs and energy consumption. Ph.D. thesis, Loughborough University, Loughborough, United KingdomGoogle Scholar
- 39.Wang HY, Zuo DW, Chen YJ, Ma H (2009) Effects of processing parameters on energy efficiency of squash presetting laser cladding. Mater Sci Forum 628-629:679–684. https://doi.org/10.4028/www.scientific.net/MSF.628-629.679 CrossRefGoogle Scholar