Structural modularization, lightweight and functional integration are the urgent development
directions for next generation high-performance aeroengines. Heat concentration during …

In this paper, according to a spatiotemporal correlation characteristic of the temperature
response of a transient heat conduction system, a response spatiotemporal correlation …

A three-dimensional steady-state inverse heat conduction-convection conjugated problem
(IHCCCP) is investigated in this work. The goal is to estimate the unknown spatially …

Inverse heat transfer problems are important in numerous scientific research and
engineering applications. This paper proposes a network-based method utilizing the …

For a linear heat transfer system, the unit step response of the temperature field to any
system inputs, such as internal and external heat sources, is specific. This means that there …

This paper studies the effect of gravity orientation on a heat sink, used to passively cool a
thick film resistor, by changing the assembly orientation. Using the same geometry and …

Deep learning is a subset of machine learning that focuses on complex non-linear
processing of data. These frameworks are central to emerging technologies like automated …

In this three-dimensional steady-state inverse heat transfer problem, we determine the
magnitude of the spatially dependent volumetric heat source originating from multiple …

This paper studies the effect of the presence of a thermal interface material between a heat
source and a heat sink. A heat sink is used as a passive cooling device for a thick film …

In this three-dimensional steady-state inverse heat transfer problem, we determine the
magnitude of the spatially dependent volumetric heat source originating from multiple …