TY - JOUR
T1 - Mitigation of lack of fusion defects in powder bed fusion additive manufacturing
AU - Mukherjee, T.
AU - DebRoy, T.
N1 - Funding Information:
Mr. T. Mukherjee is a doctoral student of Materials Science and Engineering at The Pennsylvania State University. His research interests include additive manufacturing, welding, numerical modeling, heat and mass transfer. He was awarded by American Welding Society Graduate Research fellowship and Robert E. Newnham Research Excellence Award by Penn State University.
Funding Information:
One of the authors (T.M.) acknowledges support of an American Welding Society research fellowship , grant number 179466 . We also acknowledge helpful discussions with J.S. Zuback and G.L. Knapp of Penn State University and Prof. A. De from IIT Bombay and Prof. H.L. Wei from Nanjing University of Science and Technology for their interest in this research.
Publisher Copyright:
© 2018
PY - 2018/12
Y1 - 2018/12
N2 - Components manufactured by additive manufacturing often exhibit improper fusion among layers and hatches. Currently, there is no practical way to select process parameters and alloy systems based on scientific principles to mitigate these defects. Here, we develop, test and demonstrate a methodology to predict and prevent these defects based on a numerical heat transfer and fluid flow model for the laser powder bed fusion (PBF) additive manufacturing (AM). These defects are avoidable by adjusting laser power, scanning speed, layer thickness and hatch spacing. An easy to use parameter is proposed for practical use in shop floors. Relative susceptibilities of three widely used AM alloys are demonstrated using this parameter.
AB - Components manufactured by additive manufacturing often exhibit improper fusion among layers and hatches. Currently, there is no practical way to select process parameters and alloy systems based on scientific principles to mitigate these defects. Here, we develop, test and demonstrate a methodology to predict and prevent these defects based on a numerical heat transfer and fluid flow model for the laser powder bed fusion (PBF) additive manufacturing (AM). These defects are avoidable by adjusting laser power, scanning speed, layer thickness and hatch spacing. An easy to use parameter is proposed for practical use in shop floors. Relative susceptibilities of three widely used AM alloys are demonstrated using this parameter.
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U2 - 10.1016/j.jmapro.2018.10.028
DO - 10.1016/j.jmapro.2018.10.028
M3 - Article
AN - SCOPUS:85056212878
SN - 1526-6125
VL - 36
SP - 442
EP - 449
JO - Journal of Manufacturing Processes
JF - Journal of Manufacturing Processes
ER -