A numerical and experimental study of natural convective heat transfer from two-sided circular and square horizontal plates having a finite thickness

Manna, Rafiq; Oosthuizen, Patrick H.

doi:10.1007/s00231-020-02851-8

Cited by 2 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modeling and simulation of systems in mechanical engineering both subdisciplinary of applied mechanics [37][38][39][40] or thermal systems "as described in this chapter" became more popular in industry and scientific research due to accelerating in computing power and graphical interface of most of the simulation tools offered commercially or free open access software. CFDs software with all its five techniques are the most interesting for many researchers due to its flexibility and due to the fact that the high cost of experimentation of fluid and energy systems.…”

Section: Discussionmentioning

confidence: 99%

Modeling and Simulation of Fluid Flow and Energy Systems

Makahleh,

Nassar

2023

Simulation Modeling - Recent Advances, New Perspectives, and Applications

View full text Add to dashboard Cite

Engineering and science-related problems become more complicated as human knowledge evolves. This complication includes apparatus geometry and operational environment such as extreme variations in pressure and temperature. Analytical solution for such problems needs many assumptions that underestimate the problem under study and could lead to unrealistic results. Moreover, an experimental setup for a certain problem is constrained by the prototype size and each experiment is set up for certain operating conditions. This leads to building up many setups to deal with changes in size and operating conditions and, therefore, the prototype validation becomes very expensive and time-consuming. This calls for modeling and simulation approaches to deal with such engineering problems with the powerful computational capabilities available nowadays. Real-world patterns and processes are roughly modeled by scientific models. They may be refuted because they are representations, which are by definition imperfect. Models, however, are quite helpful for a variety of reasons. They first give us a method to comprehend procedures that would otherwise be incomprehensible to us. They also give scientists a base on which to build new research and theories. Finally, modeling and simulation reduce the time and cost of prototyping.

show abstract

Section: Discussionmentioning

confidence: 99%