What is it about?
The first and second-laws efficiencies were applied to performance analysis of an irreversible Miller cycle and procedure named ANN was used for predicting the thermal efficiency values versus the compression ratio, and the minimum and maximum temperatures of the Miller cycle.
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Why is it important?
The efficiency and performance analysis of an air-standard Miller cycle using thermodynamics and mathematics (Artificial neural network) is unique.
Perspectives
I hope this article help to other related researchers to analyze the same thermodynamic cycles and more complicated ones.
Dr. Alireza Hajipour
Islamic Azad University Central Tehran Branch
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This page is a summary of: Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction, Proceedings of the Institution of Civil Engineers - Energy, January 2016, Elsevier,
DOI: 10.1016/j.energy.2015.10.073.
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