Abstract
Selective laser sintering (SLS) empowers the fast, flexible, cost-efficient, and easy manufacture of prototypes for various application of required shape and size by using powder based material. The physical prototype is important for design confirmation and operational examination by creating the prototype unswervingly from CAD data. In SLS procedure optimization of construction parameters of good responses, will also help to save time and material. In this work, optimal SLS process parameters, by varying the laser power, bed temperature and layer thickness on surface quality of Length, Depth and Surface roughness for the designed part by using Polyamide and also evaluate the part quality by using Coordinate measuring machine (CMM). The experimentations were carried out rendering to the Taguchi parametric strategy L9 at various combinations of process parameters and arithmetical optimization method ANOVA was used to decide the optimal levels and to find the percentage of contribution of the process parameters. The results show that the Laser power is the most important factor followed by the Bed Temperature and Layer thickness for maximizing the Length and Depth, Minimizing Surface roughness of the SLS processed Polyamide. This optimized process capability paves the way for the society.
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Akilesh, M., Elango, P.R., Devanand, A.A., Soundararajan, R., Varthanan, P.A. (2019). Optimization of Selective Laser Sintering Process Parameters on Surface Quality. In: Kumar, L., Pandey, P., Wimpenny, D. (eds) 3D Printing and Additive Manufacturing Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-13-0305-0_13
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DOI: https://doi.org/10.1007/978-981-13-0305-0_13
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