Cargando…
Online Stress Measurement During Laser-aided Metallic Additive Manufacturing
In situ measurement of residual stress is a challenge, and it is a source of many defects during additive manufacturing (AM). Usually, postmortem measurement is too late to save the product once a defect appears. Most of the existing technologies are predictive simulations and postmortem analysis. H...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529430/ https://www.ncbi.nlm.nih.gov/pubmed/31113998 http://dx.doi.org/10.1038/s41598-019-39849-0 |
_version_ | 1783420381648912384 |
---|---|
author | Lu, Yi Sun, Guifang Xiao, Xianfeng Mazumder, Jyoti |
author_facet | Lu, Yi Sun, Guifang Xiao, Xianfeng Mazumder, Jyoti |
author_sort | Lu, Yi |
collection | PubMed |
description | In situ measurement of residual stress is a challenge, and it is a source of many defects during additive manufacturing (AM). Usually, postmortem measurement is too late to save the product once a defect appears. Most of the existing technologies are predictive simulations and postmortem analysis. However, these technologies cannot directly reflect the stress evolution during the fabrication process. This paper introduces a computer vision-based stress monitoring system combined with finite element method (FEM) technology to estimate the stress development inside of the deposition layer. The system uses a CCD camera and a line laser beam to measure the height of the melt pool and solidified layer, forms a real-time FEM model, and uses the surface displacement between the two states to calculate the stress development during the solidification process. The results show that there is no obvious shape change after solidification. The shape of the melt pool and its solid state is similar. The stress distribution obtained through online monitoring is similar to that from the traditional thermal-stress simulation. |
format | Online Article Text |
id | pubmed-6529430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65294302019-05-30 Online Stress Measurement During Laser-aided Metallic Additive Manufacturing Lu, Yi Sun, Guifang Xiao, Xianfeng Mazumder, Jyoti Sci Rep Article In situ measurement of residual stress is a challenge, and it is a source of many defects during additive manufacturing (AM). Usually, postmortem measurement is too late to save the product once a defect appears. Most of the existing technologies are predictive simulations and postmortem analysis. However, these technologies cannot directly reflect the stress evolution during the fabrication process. This paper introduces a computer vision-based stress monitoring system combined with finite element method (FEM) technology to estimate the stress development inside of the deposition layer. The system uses a CCD camera and a line laser beam to measure the height of the melt pool and solidified layer, forms a real-time FEM model, and uses the surface displacement between the two states to calculate the stress development during the solidification process. The results show that there is no obvious shape change after solidification. The shape of the melt pool and its solid state is similar. The stress distribution obtained through online monitoring is similar to that from the traditional thermal-stress simulation. Nature Publishing Group UK 2019-05-21 /pmc/articles/PMC6529430/ /pubmed/31113998 http://dx.doi.org/10.1038/s41598-019-39849-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lu, Yi Sun, Guifang Xiao, Xianfeng Mazumder, Jyoti Online Stress Measurement During Laser-aided Metallic Additive Manufacturing |
title | Online Stress Measurement During Laser-aided Metallic Additive Manufacturing |
title_full | Online Stress Measurement During Laser-aided Metallic Additive Manufacturing |
title_fullStr | Online Stress Measurement During Laser-aided Metallic Additive Manufacturing |
title_full_unstemmed | Online Stress Measurement During Laser-aided Metallic Additive Manufacturing |
title_short | Online Stress Measurement During Laser-aided Metallic Additive Manufacturing |
title_sort | online stress measurement during laser-aided metallic additive manufacturing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529430/ https://www.ncbi.nlm.nih.gov/pubmed/31113998 http://dx.doi.org/10.1038/s41598-019-39849-0 |
work_keys_str_mv | AT luyi onlinestressmeasurementduringlaseraidedmetallicadditivemanufacturing AT sunguifang onlinestressmeasurementduringlaseraidedmetallicadditivemanufacturing AT xiaoxianfeng onlinestressmeasurementduringlaseraidedmetallicadditivemanufacturing AT mazumderjyoti onlinestressmeasurementduringlaseraidedmetallicadditivemanufacturing |