Stirling engines are currently of interest due to their adaptability to a wide range of energy sources. Since simple tools are needed to guide the sizing of prototypes in preliminary studies. this paper proposes two groups of simple models to estimate the maximum power in Stirling engines with a kinematic drive mechanism. The models are based on regression or ANN techniques. https://www.megavitamines.shop/product-category/apple-cider-vinegar/
A Revision of Empirical Models of Stirling Engine Performance Using Simple Artificial Neural Networks
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