ABSTRACT A detailed understanding of the driving mechanisms behind primary atomization
is crucial to the optimization of sprays for efficient combustion in modern propulsion systems …

For the design and optimization of advanced aero-engines, the prohibitively computational
resources required for numerical simulations pose a significant challenge, due to the …

In recent years, surrogate models based on deep neural networks have been widely used to
solve partial differential equations for fluid flow physics. This kind of model focuses on global …

Improving the predictive capabilities of reduced-order models for the design of injector and
chamber elements of rocket engines could greatly improve the quality of early rocket …

Accurately predicting the shape and drag of a moving drop is crucial in many spray
applications. However, due to the complex interaction between the drag force and drop …

In the present study, we propose a new surrogate model [common kernel-smoothed proper
orthogonal decomposition (CKSPOD)] to emulate spatiotemporally evolving flows. The …

Accurate modeling of the internal flow and spray char-acteristics in fuel injectors is a critical
aspect of direct injection engine design. However, such high-fidelity computational fluid …

Accurate prediction of injection profiles is a critical aspect of linking injector operation with
engine performance and emissions. However, highly resolved injector simulations can take …

With the increasing demand for efficient and accurate numerical simulations of spray
combustion in jet engines, the necessity for robust models to enhance the capabilities of …

Improving the efficiency of internal combustion engines can result in lower operating costs
and enable reduced total cost of vehicle ownership. On the other hand, it is of utmost …