Physical modelling in heat and fluid flow.

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Bibliographic Details
Title:	Physical modelling in heat and fluid flow.
Authors:	Mikielewicz, Jarosław¹, Mikielewicz, Dariusz² Dariusz.Mikielewicz@pg.edu.pl
Source:	Archives of Thermodynamics. 2026, Vol. 47 Issue 1, p205-212. 8p.
Subjects:	Models & modelmaking, Similarity (Physics), Dimensional analysis, Empirical research, Fluid flow, Heat equation, Dimensionless numbers
Abstract:	Experimental research, especially physical modelling, is vital when direct study of real systems is impractical. By applying similarity theory and dimensionless variables, models allow reliable analysis of results. While experiments alone are often qualitative and time-consuming, combining them with theoretical modelling yields stronger quantitative insights. Careful planning, computer-based data collection, and awareness of measurement errors ensure precision and efficiency. The theory of similarity defines the criteria under which the behaviour of a model can be considered representative of the real system. By satisfying these criteria, experimental results obtained from the model can be reliably extrapolated to the actual phenomenon. The present paper aims to present Authors’ up-to-date experiences in advanced research using scaled models based on similitude theory, ever since its establishment as a branch of the engineering science to convince the reader about the benefits of physical modelling in comparison to advanced computer based methods governing the contemporary research. [ABSTRACT FROM AUTHOR]
	Copyright of Archives of Thermodynamics is the property of Szewalski Institute of Fluid-Flow Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	Experimental research, especially physical modelling, is vital when direct study of real systems is impractical. By applying similarity theory and dimensionless variables, models allow reliable analysis of results. While experiments alone are often qualitative and time-consuming, combining them with theoretical modelling yields stronger quantitative insights. Careful planning, computer-based data collection, and awareness of measurement errors ensure precision and efficiency. The theory of similarity defines the criteria under which the behaviour of a model can be considered representative of the real system. By satisfying these criteria, experimental results obtained from the model can be reliably extrapolated to the actual phenomenon. The present paper aims to present Authors’ up-to-date experiences in advanced research using scaled models based on similitude theory, ever since its establishment as a branch of the engineering science to convince the reader about the benefits of physical modelling in comparison to advanced computer based methods governing the contemporary research. [ABSTRACT FROM AUTHOR]
ISSN:	12310956
DOI:	10.24425/ather.2026.158670