表題番号:2020C-797 日付:2021/06/03
研究課題Modelling thermal engineering processes with variational principle of non equilibrium thermodynamics
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

A generalizable understanding of the fundamental transport phenomena occurring within thermal systems is necessary to keep up with their fast-paced technological progress, which is evolving towards advanced configurations and new working substances. Accordingly, this research targets the generalized modeling of interfacial multiphase processes for thermal systems optimization and control through an interdisciplinary effort clustering engineering experiments, artificial intelligence AI, and physical modeling.

Research outcomes resulted into general formulations of interfacial multiphase processes (surface wetting, flow pattern transition, void fraction arrangement of two-phase flows, and two-phase flow separation) at steady-state within the theory of nonequilibrium thermodynamics while providing corresponding experimental validations. The above-mentioned formulation is then used as the basis for a variational representation which extends the classical Lagrangian formulation in mechanics to nonequilibrium thermodynamic systems including irreversible processes.

The theoretical framework consequently obtained is combined to corrective coefficients from computational fluid dynamics and experimental data to achieve phenomenon representations with higher accuracy.

The use of machine learning tools is then guided by the gained theoretical understanding of the process to select the essential training parameters for generalizing the applicability of such tool, while taking advantage of the powerful ability of AI to reconstruct complex intercorrelations between input and output quantities.