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CPOTE2020 logo
6th International Conference on
Contemporary Problems of Thermal Engineering
Online | 21-24 September 2020

Abstract CPOTE2020-1179-A

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A review of heat transfer models for internal heat transfer in reciprocating machinery

Bartłomiej RUTCZYK, Politechnika Śląska, Poland
Ireneusz SZCZYGIEŁ, Silesian University of Technology, Poland

The paper presents a review of heat transfer models available for cylinder-piston, reciprocating machinery. For the purpose of this work, this includes correlations, either dimensional or non-dimensional, describing the convective heat transfer coefficient on the cylinder wall surface. This is in most cases a function of gas parameters inside the cylinder, gas composition and piston velocity. Work published between 1923, beginning with the research of Nusselt and current era have been thoroughly reviewed, and the equations has been converted into forms allowing for the use of SI units. The methodology and test apparatus used to create each model is also described. In all, in this almost one hundred year period a small number of models have been found to have been published in comparison with conventional heat transfer models, many of them also highly criticized by later authors. The lack of applicable models is understood to have come from the fact that the measurements of instantaneous in-cylinder conditions can be considered difficult in practice. Most of the models found had been created for internal combustion engines, majority of them for diesels. Nonetheless, models for compressors and Stirling machines have also been found. The dimensions of the test apparatus and test parameters have also been compiled and shown if they were available. It is understood, that this paper can serve as a practical reference for the use of piston machinery research. It has been created as a prelude to the authors experimental work in Stirling Engine heat transfer.

Keywords: Stirling engine, Heat transfer, Forced convection, Reciprocating engines, Internal combustion engines
Acknowledgment: This work has been created with funding from the Silesian university of Technology, project number 08/060/BKM19/0228 BKM-542/RIE6/2019