[HTML][HTML] Enabling powertrain technologies for Euro 7/VII vehicles with computational fluid dynamics
Government regulations on vehicle tailpipe emissions have steadily become more stringent
in the last few decades, mainly to reduce gaseous and particulate pollutants from internal …
in the last few decades, mainly to reduce gaseous and particulate pollutants from internal …
Data-driven modelling of spray flows: current status and future direction
Spray flows are crucial in a variety of engineering applications across sectors such as
energy and mobility, particularly in enhancing the performance of internal combustion …
energy and mobility, particularly in enhancing the performance of internal combustion …
Multi-fidelity prediction of spatiotemporal fluid flow
Data-driven prediction of spatiotemporal fields in fluid flow problems has received significant
interest lately. However, the scarcity of data often plagues the accuracy of the prevalent …
interest lately. However, the scarcity of data often plagues the accuracy of the prevalent …
Data driven models for the design of rocket injector elements
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 …
chamber elements of rocket engines could greatly improve the quality of early rocket …
A One-Dimensional Numerical Model for High-Performance Two-Stroke Engines
F Ortenzi, A Bossaglia - Energies, 2023 - mdpi.com
Computer software that simulates the thermodynamic and gas dynamic properties of internal
combustion engines can play a significant role in the design and optimization of internal …
combustion engines can play a significant role in the design and optimization of internal …
Parametric shape optimization of pin fin arrays using a multi-fidelity surrogate model based Bayesian method
The current work aims to develop a multi-fidelity Bayesian optimization methodology to
reduce computation time in CFD based design optimization of an internal cooling channel of …
reduce computation time in CFD based design optimization of an internal cooling channel of …
Machine learning-enabled prediction of transient injection map in automotive injectors with uncertainty quantification
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 …
engine performance and emissions. However, highly resolved injector simulations can take …
Modeling Multivariate Spray Characteristics with Gaussian Mixture Models
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 …
combustion in jet engines, the necessity for robust models to enhance the capabilities of …
[HTML][HTML] Deep convolutional autoencoders for the time–space reconstruction of liquid rocket engine flames
The integration of high-fidelity numerical simulations into the rocket engine design-cycle
promises to cut costs in an ever more competitive launch market. Although still being …
promises to cut costs in an ever more competitive launch market. Although still being …
A Comparison of Injection, Spray, and Combustion Characteristics for Non-Eroded and Eroded Multi-Hole Fuel Injectors
It is well known that cavitation erosion in fuel injectors can prevent reliable engine
performance after only several thousand hours of operation. However, current simulation …
performance after only several thousand hours of operation. However, current simulation …