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Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects
Technology evolution and wide research attention on 3D printing efficiency and processes have given the prompt need to reach an understanding about each technique’s prowess to deliver superior quality levels whilst showing an economical and process viability to become mainstream. Studies in the fiel...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271925/ https://www.ncbi.nlm.nih.gov/pubmed/34209372 http://dx.doi.org/10.3390/polym13132190 |
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author | Ferretti, Patrich Leon-Cardenas, Christian Santi, Gian Maria Sali, Merve Ciotti, Elisa Frizziero, Leonardo Donnici, Giampiero Liverani, Alfredo |
author_facet | Ferretti, Patrich Leon-Cardenas, Christian Santi, Gian Maria Sali, Merve Ciotti, Elisa Frizziero, Leonardo Donnici, Giampiero Liverani, Alfredo |
author_sort | Ferretti, Patrich |
collection | PubMed |
description | Technology evolution and wide research attention on 3D printing efficiency and processes have given the prompt need to reach an understanding about each technique’s prowess to deliver superior quality levels whilst showing an economical and process viability to become mainstream. Studies in the field have struggled to predict the singularities that arise during most Fused Deposition Modeling (FDM) practices; therefore, diverse individual description of the parameters have been performed, but a relationship study between them has not yet assessed. The proposed study lays the main defects caused by a selection of printing parameters which might vary layer slicing, then influencing the defect rate. Subsequently, the chosen technique for optimization is presented, with evidence of its application viability that suggests that a quality advance would be gathered with such. The results would help in making the FDM process become a reliable process that could also be used for industry manufacturing besides prototyping purposes. |
format | Online Article Text |
id | pubmed-8271925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82719252021-07-11 Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects Ferretti, Patrich Leon-Cardenas, Christian Santi, Gian Maria Sali, Merve Ciotti, Elisa Frizziero, Leonardo Donnici, Giampiero Liverani, Alfredo Polymers (Basel) Article Technology evolution and wide research attention on 3D printing efficiency and processes have given the prompt need to reach an understanding about each technique’s prowess to deliver superior quality levels whilst showing an economical and process viability to become mainstream. Studies in the field have struggled to predict the singularities that arise during most Fused Deposition Modeling (FDM) practices; therefore, diverse individual description of the parameters have been performed, but a relationship study between them has not yet assessed. The proposed study lays the main defects caused by a selection of printing parameters which might vary layer slicing, then influencing the defect rate. Subsequently, the chosen technique for optimization is presented, with evidence of its application viability that suggests that a quality advance would be gathered with such. The results would help in making the FDM process become a reliable process that could also be used for industry manufacturing besides prototyping purposes. MDPI 2021-06-30 /pmc/articles/PMC8271925/ /pubmed/34209372 http://dx.doi.org/10.3390/polym13132190 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ferretti, Patrich Leon-Cardenas, Christian Santi, Gian Maria Sali, Merve Ciotti, Elisa Frizziero, Leonardo Donnici, Giampiero Liverani, Alfredo Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects |
title | Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects |
title_full | Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects |
title_fullStr | Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects |
title_full_unstemmed | Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects |
title_short | Relationship between FDM 3D Printing Parameters Study: Parameter Optimization for Lower Defects |
title_sort | relationship between fdm 3d printing parameters study: parameter optimization for lower defects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271925/ https://www.ncbi.nlm.nih.gov/pubmed/34209372 http://dx.doi.org/10.3390/polym13132190 |
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