Training the next generation of onco-radiologists: The Hong Kong experience

Autor: Hang Keith Chiu, Wan, Kwok, Kai-yan, Ling Chan, Oi, Tak Alta Lai, Yee, Fai Cheng, Lik, Lun Poon, Wai

Publikováno v: In European Journal of Radiology December 2024 181

Numerical Investigation of the Excitation Characteristics of Contaminated Nozzle Rings

Autor: Michaela R. Beierl, Damian M. Vogt, Magnus Fischer, Tobias R. Müller, Kwok Kai So

Publikováno v: International Journal of Turbomachinery, Propulsion and Power, Vol 9, Iss 2, p 21 (2024)

The deposition of combustion residues in the nozzle ring (NR) of a turbocharger turbine stage changes the NR geometry significantly in a random manner. The resultant complex and highly asymmetric geometry induces low engine order (LEO) excitation, wh

Externí odkaz: https://doaj.org/article/f6f7cc257ac142bcb6063ad9f81fa408

Numerical Investigation of the Excitation Characteristics of Contaminated Nozzle Rings †.

Autor: Beierl, Michaela R., Vogt, Damian M., Fischer, Magnus, Müller, Tobias R., So, Kwok Kai

Publikováno v: International Journal of Turbomachinery, Propulsion & Power; Jun2024, Vol. 9 Issue 2, p21, 15p

Numerical and experimental investigation of a radially reduced diffuser design concept for a centrifugal compressor performance at design point

Autor: Laura McLaughlin, Stephen Spence, Daniel Rusch, Lee Galloway, Marco Geron, Kwok Kai So, Magnus Fischer

Publikováno v: McLaughlin, L, Spence, S, Rusch, D, Galloway, L, Geron, M, Kai So, K & Fischer, M 2022, ' Numerical and experimental investigation of a radially reduced diffuser design concept for a centrifugal compressor performance at design point. ', Aerospace Science and Technology, vol. 126, 107590 . https://doi.org/10.1016/j.ast.2022.107590

Large scale, high pressure ratio (PR) centrifugal compressors are commonly made up of a radial impeller with a vaned diffuser. In research to date, the majority of research and design has focused on extending the operating range or improving the comp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::321ded2fc7f1f6e4a0d8f4e1bd3dec10
https://pure.qub.ac.uk/en/publications/6bcf17b4-8ddb-4f2f-bc68-34950ad8d53f

Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor

Autor: Patrick Amstad, Kwok Kai So, Magnus Fischer

Publikováno v: Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery.

This paper presents a complete and general machine-learning assisted optimization framework for the Generalized k-ω (GEKO) turbulence model based on experimental measurements. The optimization framework is applied to the use case of a turbocharger r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dab6320d824ef6a2d19430fc61498ec9
https://doi.org/10.1115/gt2022-78306