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- W3216244450 abstract "The complementary analysis through simulations and measurements led to a huge success in the development and the improvement of Gasoline Direct Injection (GDI) systems. The complexity of the physical interactions involved increases dramatically starting from the single component, e.g. the highpressure injector, going to the system level, including spray patterns, engine combustion and emissions. This implies strong non-linear and high multidimensional domains, requiring a significant effort in the generation and the evaluation of the necessary data. Furthermore, new emission regulations and the demand of high power output, as well as high efficiency, require deeper analysis and understanding in the field of GDI engines." @default.
- W3216244450 created "2021-12-06" @default.
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- W3216244450 date "2021-01-01" @default.
- W3216244450 modified "2023-10-17" @default.
- W3216244450 title "AI-Driven Gasoline Direct Injection Development: A Knowledge-Discovery Framework for Comprehensible Evaluations of Complex Physical Phenomena" @default.
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- W3216244450 doi "https://doi.org/10.1007/978-3-658-35588-3_27" @default.
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