The objective of this work is to model and quantify the layer-wise spatial evolution of porosity in parts made using Additive Manufacturing (AM) processes.
[PDF] Layer-wise Spatial Modeling of Porosity in Additive Manufacturing
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The objective of this work is to model and quantify the layer-wise spatial evolution of porosity in parts made using additive manufacturing (AM) processes. This ...
The objective of this work is to model and quantify the layer-wise spatial evolution of porosity in parts made using additive manufacturing (AM) processes.
Layer-wise spatial modeling of porosity in additive manufacturing
experts.colorado.edu › pubid_370893
Overview ; CU Boulder Authors. Williams, Christopher ; publication date. January 1, 2019 ; has restriction. closed ; Date in CU Experts. February 14, 2024 9:13 AM ...
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The present study utilizes extreme value statistics to determine the data required to characterize porosity in the L-PBF additively manufactured parts.
Hence, layer-wise modeling has attracted the attention of the additive manufacturing community. Layer-wise spatial porosity evolution has been previously ...
The framework presented in this work can be effectively applied to quality control in additive manufacturing. As a function of the predicted porosity positions, ...
Jul 3, 2023 · We propose a data-driven neural network framework capable of in-situ micro-porosity localization for laser powder bed fusion via exclusively within hatch strip ...
Layer-wise Spatial Modeling of Porosity in Additive Manufacturing. IISE. Transactions, (Additive Manufacturing Special Issue), Accepted, In-Press, 2018.
In-situ process monitoring and physics-based modeling of the manufacturing process play a crucial role in the quality control of parts made by additive ...