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Time-dependent manufacturing processes lead to a new class of inverse problems
The control of time-dependent, energy beam manufacturing processes has been achieved in the past through trial-and-error approaches. We identify key research gaps and generic challenges related to inverse problems for these processes that require a multidisciplinary problem-solving approach to tackl...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431166/ https://www.ncbi.nlm.nih.gov/pubmed/30833385 http://dx.doi.org/10.1073/pnas.1900420116 |
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author | Axinte, Dragos Billingham, John |
author_facet | Axinte, Dragos Billingham, John |
author_sort | Axinte, Dragos |
collection | PubMed |
description | The control of time-dependent, energy beam manufacturing processes has been achieved in the past through trial-and-error approaches. We identify key research gaps and generic challenges related to inverse problems for these processes that require a multidisciplinary problem-solving approach to tackle them. The generic problems that we identify have a wide range of applications in the algorithmic control of modern manufacturing processes. |
format | Online Article Text |
id | pubmed-6431166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-64311662019-03-28 Time-dependent manufacturing processes lead to a new class of inverse problems Axinte, Dragos Billingham, John Proc Natl Acad Sci U S A Physical Sciences The control of time-dependent, energy beam manufacturing processes has been achieved in the past through trial-and-error approaches. We identify key research gaps and generic challenges related to inverse problems for these processes that require a multidisciplinary problem-solving approach to tackle them. The generic problems that we identify have a wide range of applications in the algorithmic control of modern manufacturing processes. National Academy of Sciences 2019-03-19 2019-03-04 /pmc/articles/PMC6431166/ /pubmed/30833385 http://dx.doi.org/10.1073/pnas.1900420116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Axinte, Dragos Billingham, John Time-dependent manufacturing processes lead to a new class of inverse problems |
title | Time-dependent manufacturing processes lead to a new class of inverse problems |
title_full | Time-dependent manufacturing processes lead to a new class of inverse problems |
title_fullStr | Time-dependent manufacturing processes lead to a new class of inverse problems |
title_full_unstemmed | Time-dependent manufacturing processes lead to a new class of inverse problems |
title_short | Time-dependent manufacturing processes lead to a new class of inverse problems |
title_sort | time-dependent manufacturing processes lead to a new class of inverse problems |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431166/ https://www.ncbi.nlm.nih.gov/pubmed/30833385 http://dx.doi.org/10.1073/pnas.1900420116 |
work_keys_str_mv | AT axintedragos timedependentmanufacturingprocessesleadtoanewclassofinverseproblems AT billinghamjohn timedependentmanufacturingprocessesleadtoanewclassofinverseproblems |