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Process Parameter Optimization for Laser Powder Bed Fusion of Fe-Si Alloy Considering Surface Morphology and Track Width of Single Scan Track.

Ho Sung JangSu Heon KimGeon-Woo ParkJong Bae JeonDonghwi KimDohyung KimWang Ryeol KimYoon Suk ChoiSunmi Shin
Published in: Materials (Basel, Switzerland) (2023)
A laser power bed fusion (L-PBF) manufacturing process was optimized by analyzing the surface morphology and track width w of single scan tracks (SSTs) on Fe-3.4wt.%Si. An SST was evaluated under process conditions of laser power P , scan speed V , and energy density E = P / V . The SST surface shape was mainly affected by E ; desirable thin and regular tracks were obtained at E = 0.3 and 0.4 J/mm. An L-PBF process window was proposed considering the optimal w of SST, and the appropriate range of E for the alloy was identified to be 0.24 J/mm to 0.49 J/mm. w showed a strong relationship with E and V , and an analytic model was suggested. To verify the process window derived from the appropriate w of SST, cubic samples were manufactured with the estimated optimal process conditions. Most samples produced had a high density with a porosity of <1%, and the process window derived from SST w data had high reliability. This study presents a comprehensive approach to enhancing additive manufacturing for Fe-3.4Si alloy, offering valuable insights for achieving high-quality samples without the need for time-intensive procedures.
Keyphrases
  • high density
  • computed tomography
  • machine learning
  • high resolution
  • big data
  • artificial intelligence
  • mass spectrometry
  • electronic health record
  • deep learning
  • metal organic framework