Innovative approach of nomography application into an engineering educational context.

Nomography is considered a branch of mathematics introduced by Maurice d'Ocagne in 1884 in France. The past century saw nomography grow as a graphical computing method used by scientists and engineers wishing to solve complex problems to a practical precision. Even though nomography has decline...

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Main Authors: Trevor Blight, Pedro Martínez-Pagán, Leif Roschier, Daniel Boulet, Lorena Yepes-Bellver, Víctor Yepes
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0315426
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author Trevor Blight
Pedro Martínez-Pagán
Leif Roschier
Daniel Boulet
Lorena Yepes-Bellver
Víctor Yepes
author_facet Trevor Blight
Pedro Martínez-Pagán
Leif Roschier
Daniel Boulet
Lorena Yepes-Bellver
Víctor Yepes
author_sort Trevor Blight
collection DOAJ
description Nomography is considered a branch of mathematics introduced by Maurice d'Ocagne in 1884 in France. The past century saw nomography grow as a graphical computing method used by scientists and engineers wishing to solve complex problems to a practical precision. Even though nomography has declined with the introduction of calculators and computers, it still offers potential in an educational setting. The recent development of open-source software is helping promote the use of nomograms among scholars in engineering courses who are aware of nomography's capabilities. The main reason for this apparent and renewed interest in nomography is the capability of open-source software to generate customized and precise nomograms in seconds without the previously required mathematical background. In this work, we introduce Nomogen, a Python package able to build reliable and scalable 3-variable nomograms while avoiding past drawbacks such as manipulating determinants or manually drawing the scales. In this way, some nomograms generated by Nomogen have been tested on undergraduate and graduate students from different engineering backgrounds. Subsequently, a Likert scale survey was conducted, which showed that students had a great and renewed interest in nomography and found it helpful in the engineering learning process. Even though 78.4% of the respondent had never used nomograms, 86.5% believed that these analogical graphs allow a reasonable interpretation of the phenomenon when there are many variables, and, as a result, nomography with the assistance of open-source software, such as Nomogen or PyNomo, should be incorporated in the teaching process as part of their engineering education syllabus.
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spelling doaj-art-af47f188847f4c71bb31cb7443b197e62025-02-12T05:30:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01202e031542610.1371/journal.pone.0315426Innovative approach of nomography application into an engineering educational context.Trevor BlightPedro Martínez-PagánLeif RoschierDaniel BouletLorena Yepes-BellverVíctor YepesNomography is considered a branch of mathematics introduced by Maurice d'Ocagne in 1884 in France. The past century saw nomography grow as a graphical computing method used by scientists and engineers wishing to solve complex problems to a practical precision. Even though nomography has declined with the introduction of calculators and computers, it still offers potential in an educational setting. The recent development of open-source software is helping promote the use of nomograms among scholars in engineering courses who are aware of nomography's capabilities. The main reason for this apparent and renewed interest in nomography is the capability of open-source software to generate customized and precise nomograms in seconds without the previously required mathematical background. In this work, we introduce Nomogen, a Python package able to build reliable and scalable 3-variable nomograms while avoiding past drawbacks such as manipulating determinants or manually drawing the scales. In this way, some nomograms generated by Nomogen have been tested on undergraduate and graduate students from different engineering backgrounds. Subsequently, a Likert scale survey was conducted, which showed that students had a great and renewed interest in nomography and found it helpful in the engineering learning process. Even though 78.4% of the respondent had never used nomograms, 86.5% believed that these analogical graphs allow a reasonable interpretation of the phenomenon when there are many variables, and, as a result, nomography with the assistance of open-source software, such as Nomogen or PyNomo, should be incorporated in the teaching process as part of their engineering education syllabus.https://doi.org/10.1371/journal.pone.0315426
spellingShingle Trevor Blight
Pedro Martínez-Pagán
Leif Roschier
Daniel Boulet
Lorena Yepes-Bellver
Víctor Yepes
Innovative approach of nomography application into an engineering educational context.
PLoS ONE
title Innovative approach of nomography application into an engineering educational context.
title_full Innovative approach of nomography application into an engineering educational context.
title_fullStr Innovative approach of nomography application into an engineering educational context.
title_full_unstemmed Innovative approach of nomography application into an engineering educational context.
title_short Innovative approach of nomography application into an engineering educational context.
title_sort innovative approach of nomography application into an engineering educational context
url https://doi.org/10.1371/journal.pone.0315426
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AT lorenayepesbellver innovativeapproachofnomographyapplicationintoanengineeringeducationalcontext
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