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dc.contributor.authorNolasco, Christian
dc.contributor.authorNoriega, Carlos
dc.contributor.authorRuedas, Emerson
dc.coverage.spatialColombiaen_US
dc.date.accessioned2025-04-20T16:35:35Z
dc.date.available2025-04-20T16:35:35Z
dc.date.issued2024-06-23
dc.identifier.issn1974-9821en_US
dc.identifier.urihttps://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5095
dc.description.abstractPhysical phenomena are typically described in different areas of knowledge using mathematical models. These models permit the assessment of variables associated with the process without building experimental setups. In order to achieve this goal, it is necessary to formulate a differential equation that, depending on the number of variables, can be partial or ordinary type. In this context, the present work evaluates the mass balance for an open system from a numerical and mathematical perspective, and then experimentally validates the results obtained. The analytical solutions of the mathematical models are performed through variable separation, while the numerical solutions are obtained from the fourth-order Runge-Kutta method. The experimental results confirm that the applied differential equation accurately represents the process under consideration and predicts the filling times at which the system reaches the steady-state condition. Furthermore, it describes the system's transient process with an error of less than 4%. Moreover, the influence of operational variables, including the diameters and thermophysical properties of the fluid, on the time required for the system to reach a steady state is quantified numerically. Finally, the present study has proved that how an actual situation reproduced experimentally can be modeled using differential equations and how this strategy facilitates the learning and applying theoretical models in mathematical learning environments. Copyright © 2024 Praise Worthy Prize S.r.l. - All rights reserved.en_US
dc.language.isospaen_US
dc.relationfile:///C:/Users/maria/Downloads/25253-59072-1-PB.pdfen_US
dc.titleExperimental Study of Mass Conservation Processes: a Look at the Teaching of Differential Equations from Modeling and Numerical Analysisen_US
dc.title.translatedExperimental Study of Mass Conservation Processes: a Look at the Teaching of Differential Equations from Modeling and Numerical Analysisen_US
dc.contributor.cvlac[0000016699]en_US
dc.contributor.googlescholar[DriRZs4AAAAJ]en_US
dc.contributor.orcid[0000-0001-6923-3388]en_US
dc.contributor.researchgate[Christian-Serna]en_US
dc.contributor.scopus[57212415000]en_US
dc.description.abstractenglishPhysical phenomena are typically described in different areas of knowledge using mathematical models. These models permit the assessment of variables associated with the process without building experimental setups. In order to achieve this goal, it is necessary to formulate a differential equation that, depending on the number of variables, can be partial or ordinary type. In this context, the present work evaluates the mass balance for an open system from a numerical and mathematical perspective, and then experimentally validates the results obtained. The analytical solutions of the mathematical models are performed through variable separation, while the numerical solutions are obtained from the fourth-order Runge-Kutta method. The experimental results confirm that the applied differential equation accurately represents the process under consideration and predicts the filling times at which the system reaches the steady-state condition. Furthermore, it describes the system's transient process with an error of less than 4%. Moreover, the influence of operational variables, including the diameters and thermophysical properties of the fluid, on the time required for the system to reach a steady state is quantified numerically. Finally, the present study has proved that how an actual situation reproduced experimentally can be modeled using differential equations and how this strategy facilitates the learning and applying theoretical models in mathematical learning environments. Copyright © 2024 Praise Worthy Prize S.r.l. - All rights reserved.en_US
dc.subject.proposalMathematical Modelen_US
dc.subject.proposalOrdinary Differential Equationen_US
dc.subject.proposalMass Balanceen_US
dc.subject.proposalNumerical Methoden_US
dc.subject.proposalThermophysical Propertiesen_US
dc.subject.keywordsMathematical Modelen_US
dc.subject.keywordsOrdinary Differential Equationen_US
dc.subject.keywordsMass Balanceen_US
dc.subject.keywordsNumerical Methoden_US
dc.subject.keywordsThermophysical Propertiesen_US
dc.subject.lembCiencias Socialesen_US
dc.publisher.facultyFacultad educación artes y humanidadesen_US
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTen_US
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