研究者所属（当時） | 資格 | 氏名 | |
---|---|---|---|

（代表者） | 高等研究所 | 講師 | ジャンネッティ ニコロ |

- 研究成果概要
The first outcomes of this research project cover the application of variational principle for the mathematical formulations of engineering phenomena recurrent in thermal systems, development of semi-theoretical phenomena combining the above-said mathematical formulations with collected experimental data, in parallel to the investigation of Artificial Intelligence approach for device optimisation procedures . Specifically, the Principle of minimum energy and Prigogine’s Theorem of minimum entropy generation have been applied to falling-film wetting and two-phase refrigerant distribution in microchannel heat exchangers, respectively, along with the construction of a Lagrangian formulation able to include time evolution and unify different variational approaches. A simplified formulation through Taylor series approximation was implemented as the mathematical framework for modelling open refrigerated display cabinets in combination with the representation given by collected experimental data. Other semi-theoretical models were obtained for desiccant wetting and two-phase flow void fraction. Genetic Algorithm has been implemented for circuitry optimisation in finned-tube heat exchangers and system-scale optimal operation.