Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Gino Angelini"'
Publikováno v:
International Journal of Turbomachinery, Propulsion and Power, Vol 4, Iss 2, p 11 (2019)
Since the 1960s, turbomachinery design has mainly been based on similarity theory and empirical correlations derived from experimental data and manufacturing experience. Over the years, this knowledge was consolidated and summarized by parameters suc
Externí odkaz:
https://doaj.org/article/e4676e0f83b547778f5ca56c934ad30c
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy. 235:383-392
The work presents a data driven based strategy to develop a new statistical model of complex tip shape for high-pressure turbine stages exploiting an existing dataset of optimized squealer-like rotor tips. Using the exploratory data analysis (EDA), a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba417b415cc2a556aacd5ed6377edd55
https://doi.org/10.1177/0957650920948413
https://doi.org/10.1177/0957650920948413
One of the issues of handling large CFD datasets and process them to derive important design correlations is the limitation in automating the post-processing of data. Machine learning techniques, developed to process large unlabelled dataset, can pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::119ecdf5db68aaa69b113786c457a66e
https://doi.org/10.1115/1.0005523v
https://doi.org/10.1115/1.0005523v
Publikováno v:
Journal of Engineering for Gas Turbines and Power. 141
The main intent of this work is the exploration of the rotor-only fan design space to identify the correlations between fan performance and enriched geometric and kinematic parameters. In particular, the aim is to derive a multidimensional “Balje c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::382e26e836d3962adcca2160914d5fa9
https://doi.org/10.1115/1.4044935
https://doi.org/10.1115/1.4044935
Publikováno v:
Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards.
The main intent of this work is the exploration of the rotor-only fan design-space to identify correlations between fan performance and enriched geometric and kinematic parameters. In particular, the aim is to derive a multidimensional “Balje chart
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72fde982281d68e94b100db1c58f5943
https://doi.org/10.1115/gt2019-91588
https://doi.org/10.1115/gt2019-91588
Near-wall modeling is one of the most challenging aspects of computational fluid dynamic computations. In fact, integration-to-the-wall with low-Reynolds approach strongly affects accuracy of results, but strongly increases the computational resource
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a5b1efca9226da490fd50f9a81398f6
http://hdl.handle.net/11573/1445114
http://hdl.handle.net/11573/1445114
Autor:
Gino Angelini, Giovanni Delibra, Lorenzo Tieghi, Tommaso Bonanni, David Volponi, Alessandro Corsini
Publikováno v:
Volume 1: Aircraft Engine; Fans and Blowers; Marine.
In this paper, a systematic CFD work is carried out with the aim to inspect the influence of different cascade parameters on the aerodynamic performance of a reversible fan blade profile. From the obtained results, we derive a meta-model for the aero
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc80349236e62c072ae39c4f76f9c24b
https://doi.org/10.1115/gt2018-76363
https://doi.org/10.1115/gt2018-76363
Autor:
Gino Angelini, David Volponi, Tommaso Bonanni, Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra
Publikováno v:
Volume 1: Aircraft Engine; Fans and Blowers; Marine
Heat exchange in air-cooled condensers (ACC) is achieved by forced convection of fresh air on bundle of tubes by means of forced-draft axial-flow fans. These fans are characterized by low solidity and low hub ratio, large diameters, relatively low ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::295f4aa3165abd8cfb9167e5536bb29e
https://doi.org/10.1115/gt2018-76518
https://doi.org/10.1115/gt2018-76518
Autor:
Lorenzo Tieghi, Giovanni Delibra, David Volponi, Alessandro Corsini, Tommaso Bonanni, Gino Angelini
Publikováno v:
Designs; Volume 2; Issue 2; Pages: 19
Open literature offers a wide canvas of techniques for surrogate-based multi-objective optimization. The large majority of works focus on methodological and theoretical aspects and are applied to simple mathematical functions. The present work aims a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f03073f177a048b19af5227206812233
http://hdl.handle.net/11573/1356638
http://hdl.handle.net/11573/1356638
Autor:
Giovanni Delibra, Tommaso Bonanni, Alessandro Corsini, David Volponi, Gino Angelini, Lorenzo Tieghi
We report on the low noise optimization of an axial fan specifically designed for the cooling of CSP power plants. The duty point presents an uncommon combination of a load coefficient of 0.11, a flow coefficient of 0.23 and a static efficiency ηsta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8999abbc315f91b144a896bbb4e7e72
http://hdl.handle.net/11573/1150054
http://hdl.handle.net/11573/1150054