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Comparative study of evolutionary machine learning approaches to simulate the rheological characteristics of polybutylene succinate (PBS) utilized for fused deposition modeling (FDM)

2023-06-21

Abstract excerpt

<title>Abstract</title> <p>Polymer filament and its printability, which is strongly influenced by the rheological behavior, can represent a significant hurdle in translating fused deposition modeling (FDM) from the lab to the industrial or clinical settings. The aim of this study is to demonstrate the potential of machine learning (ML) approaches to speed up the development of polymer filaments for FDM. Four type...

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Literature Corpus work
0e41cf0c-0655-573f-94fc-2d8783d32fc8
DOI
10.21203/rs.3.rs-3082613/v1
Open publication

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Comparative study of evolutionary machine learning approaches to simulate the rheological characteristics of polybutylene succinate (PBS) utilized for fused deposition modeling (FDM)DOI 10.21203/rs.3.rs-3082613/v1
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