Cargando…
Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study
The performance characterization of the manufacturing processes for additive manufacturing (AM) systems is a significant task for their standardization and implementation in the industry. Also, there is a large diversity of materials used in different AM processes. In the present paper, a methodolog...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471332/ https://www.ncbi.nlm.nih.gov/pubmed/30917576 http://dx.doi.org/10.3390/ma12060995 |
_version_ | 1783412004554276864 |
---|---|
author | Udroiu, Razvan Braga, Ion Cristian Nedelcu, Anisor |
author_facet | Udroiu, Razvan Braga, Ion Cristian Nedelcu, Anisor |
author_sort | Udroiu, Razvan |
collection | PubMed |
description | The performance characterization of the manufacturing processes for additive manufacturing (AM) systems is a significant task for their standardization and implementation in the industry. Also, there is a large diversity of materials used in different AM processes. In the present paper, a methodology is proposed to evaluate, in different directions, the performance of an AM process and material characterization in terms of surface quality. This methodology consists of eight steps, based on a new surface inspection artifact and basic artifact orientations. The proposed artifact with several design configurations fits different AM systems sizes and meets the needs of customers. The effects of main factors on the surface roughness of up-facing platens of the artifacts are investigated using the statistical design of experiments. The proposed methodology is validated by a case study focused on PolyJet material jetting technology. Samples are manufactured of photopolymer resins and post-processed. Three factors (i.e., artifact orientation, platen orientation, and finish type) are considered for the investigation. The case study results show that the platen orientation, finish type, and their interaction have a significant influence on the surface roughness (Ra). The best Ra roughness results were obtained for the glossy finish type in the range of 0.5–4 μm. |
format | Online Article Text |
id | pubmed-6471332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64713322019-04-27 Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study Udroiu, Razvan Braga, Ion Cristian Nedelcu, Anisor Materials (Basel) Article The performance characterization of the manufacturing processes for additive manufacturing (AM) systems is a significant task for their standardization and implementation in the industry. Also, there is a large diversity of materials used in different AM processes. In the present paper, a methodology is proposed to evaluate, in different directions, the performance of an AM process and material characterization in terms of surface quality. This methodology consists of eight steps, based on a new surface inspection artifact and basic artifact orientations. The proposed artifact with several design configurations fits different AM systems sizes and meets the needs of customers. The effects of main factors on the surface roughness of up-facing platens of the artifacts are investigated using the statistical design of experiments. The proposed methodology is validated by a case study focused on PolyJet material jetting technology. Samples are manufactured of photopolymer resins and post-processed. Three factors (i.e., artifact orientation, platen orientation, and finish type) are considered for the investigation. The case study results show that the platen orientation, finish type, and their interaction have a significant influence on the surface roughness (Ra). The best Ra roughness results were obtained for the glossy finish type in the range of 0.5–4 μm. MDPI 2019-03-26 /pmc/articles/PMC6471332/ /pubmed/30917576 http://dx.doi.org/10.3390/ma12060995 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Udroiu, Razvan Braga, Ion Cristian Nedelcu, Anisor Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study |
title | Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study |
title_full | Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study |
title_fullStr | Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study |
title_full_unstemmed | Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study |
title_short | Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study |
title_sort | evaluating the quality surface performance of additive manufacturing systems: methodology and a material jetting case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471332/ https://www.ncbi.nlm.nih.gov/pubmed/30917576 http://dx.doi.org/10.3390/ma12060995 |
work_keys_str_mv | AT udroiurazvan evaluatingthequalitysurfaceperformanceofadditivemanufacturingsystemsmethodologyandamaterialjettingcasestudy AT bragaioncristian evaluatingthequalitysurfaceperformanceofadditivemanufacturingsystemsmethodologyandamaterialjettingcasestudy AT nedelcuanisor evaluatingthequalitysurfaceperformanceofadditivemanufacturingsystemsmethodologyandamaterialjettingcasestudy |