Nov 23, 2020 · In this paper, a ML integrated design for AM framework is proposed, which takes advantage of ML that can learn the complex relationships between the design and ...
In this paper, a ML integrated design for AM framework is proposed, which takes advantage of ML that can learn the complex relationships between the design and ...
AbstractFor improving manufacturing efficiency and minimizing costs, design for additive manufacturing (AM) has been accordingly proposed.
Nov 10, 2020 · In this paper, a ML integrated design for AM framework is proposed, which takes advantage of ML that can learn the complex relationships between the design and ...
Abstract. For improving manufacturing efficiency and minimizing costs, design for additive manufacturing (AM) has been accordingly proposed.
Machine learning-based design for additive manufacturing in ...
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Mar 15, 2024 · A machine learning (ML)-based design approach is proposed herein where ceramic 3D printing techniques are combined to fabricate functionally graded tissue ...
Machine learning integrated design for additive manufacturing. Published in. Journal of Intelligent Manufacturing, November 2020. DOI, 10.1007/s10845-020-01715 ...
Furthermore, the primary advantage of ML over other surrogate modelling methods is the capability to model input–output relationships in both directions. That ...
[PDF] machine learning in additive manufacturing: a review of
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The design phase of ML consists of selecting the part geometry and material for printing. In the design phase, ML has been used for geometry optimization in the ...
DL, a subfield of machine learning, is particularly well-suited for AM design optimization due to its ability to handle complex patterns and high-dimensional ...