Process optimization for directed energy deposition of SS316L components

Directed energy deposition (DED), also known as laser cladding, is a metal additive manufacturing process in which a high-power laser combined with a coaxial powder delivery system is used to additively manufacture a three-dimensional metal component layer-by-layer. Due to its convenience and superi...

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Veröffentlicht in:International journal of advanced manufacturing technology 2020-11, Vol.111 (5-6), p.1387-1400
Hauptverfasser: Lin, Pei-Yi, Shen, Fang-Cheng, Wu, Kuo-Tsai, Hwang, Sheng-Jye, Lee, Huei-Huang
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Sprache:eng
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Zusammenfassung:Directed energy deposition (DED), also known as laser cladding, is a metal additive manufacturing process in which a high-power laser combined with a coaxial powder delivery system is used to additively manufacture a three-dimensional metal component layer-by-layer. Due to its convenience and superior quality, DED has gained popularity in recent years. However, despite many advantages, it has low deposition efficiency and produces parts with poor surface evenness, high porosity, and poor mechanical properties. This study performs one-factor-at-a-time experiments to valuate five DED processing parameters, namely the laser and powder focus point positions, laser head raising height (Z-offset), laser power, powder feed rate, and laser scanning speed. The laser and powder focus point positions and the Z-offset are first adjusted to maximize the surface evenness and deposition efficiency. Several experiments are then performed to investigate the effects of laser power, powder feed rate, and laser cladding speed on the porosity and dilution of DED-built parts. Finally, a mathematical model is proposed to predict the quality (i.e., dilution) of DED-built parts as a function of DED processing parameters. Based on the results, the optimal focus point positions and Z-offset are found. The variations of porosity and dilution with three processing parameters are shown. The proposed model can be used to set up DED processing parameters to produce higher quality parts on the first attempt.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-020-06113-z