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Abstract: Accurate prediction of the melt pool morphology evolution is a crucial foundation for realizing control of melt pool and reducing laser powder bed fusion process defects. The existing ...

Abstract: In laser powder bed fusion, a convolutional neural network could build a good regression model to predict a laser power value from a melt-pool image. To empirically validate it, we used the ...

The aim of this work was to study the main effects of acerola powder on fluidized bed agglomeration. A 2(4-1) fractional factoring design was used to evaluate the main operating conditions (fluidizing ...

† State Key Laboratory of Multi-phase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China ‡ State Key Laboratory of Fine ...

Wide Format Impressions magazine, a PRINTING United Alliance media brand, has published a punchy highlight reel of wide format printers launched in the last two years, that will be on display at the ...

Chemical and Environmental Engineering Department, Escuela Técnica Superior de Ingeniería, University of Seville, Camino de los descubrimientos s/n, 41092 Seville, Spain ...