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Advanced in Simulation and Applications of High-Performance Turbomachinery

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 1193

Special Issue Editors


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Guest Editor
Dipartimento di Ingegneria Meccanica, Energetica, Gestionale e dei Trasporti (DIME), Università degli Studi di Genova, Via Montallegro 1, 16145 Genova, Italy
Interests: centrifugal compressor; CFD; aeroacoustic; industrial thermo-fluid dynamics; aerodynamic; combustion

E-Mail Website
Guest Editor
Dipartimento di Ingegneria Meccanica, Energetica, Gestionale e dei Trasporti (DIME), Università degli Studi di Genova, Via Montallegro 1, 16145 Genova, Italy
Interests: development and application of software platforms for computational fluid dynamics (CFD); development of analysis or design platforms for fluid machinery; application of optimization and soft computing techniques for the development of fluid machinery or industrial components; application of CFD to industrial components and systems

Special Issue Information

Dear Colleagues,

Turbomachinery plays a pivotal role in various energy-related sectors, from power generation and aerospace to automotive industries. In the context of the current energy transition, the optimization of turbomachinery components, including compressors, turbines, and pumps, holds high strategic significance. This optimization is indispensable for bolstering energy efficiency and safeguarding environmental sustainability. Computational fluid dynamics (CFD) simulations have become indispensable in analyzing, designing, and optimizing turbomachinery systems.

This Special Issue aims to showcase recent advancements, challenges, and innovations in simulations for energy-focused turbomachinery applications. Topics of interest include, but are not limited to, the following:

  1. Advanced numerical methods and algorithms for simulating complex flow phenomena in high-performance turbomachinery.
  2. Multi-disciplinary simulations for integrating fluid dynamics with structural, thermal, or acoustic analyses to enhance energy performance.
  3. High-fidelity simulations for capturing flow instabilities, unsteady phenomena, and transient operations in turbomachinery.
  4. Simulation-driven design optimization techniques for improving energy efficiency, reliability, and performance of turbomachinery components.
  5. Integration of simulations with experimental data for validation and verification purposes.
  6. Applications of artificial intelligence, machine learning, and data-driven modeling in high-performance turbomachinery simulations.
  7. Case studies demonstrating successful applications of simulations in addressing real-world energy-related turbomachinery engineering challenges.

Gas turbines, steam turbines, wind turbines, thermal dynamics, combustion, and compressors represent integral aspects within this Special Issue, given their substantial contributions to energy generation and utilization.

Researchers and practitioners are encouraged to submit original research articles, review papers, and case studies addressing the aforementioned topics. This Special Issue aims to foster discussions, share insights, and promote collaboration among academia, industry, and research institutions in advancing energy-focused turbomachinery simulations.

Dr. Davide Marsano
Dr. Carlo Cravero
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • turbomachinery
  • computational fluid dynamics (CFD)
  • numerical simulations
  • compressors
  • gas turbines
  • steam turbines
  • wind turbines
  • pumps
  • thermal dynamics
  • combustion
  • high performance
  • energy transition
  • design optimization
  • multi-disciplinary simulations
  • unsteady flow
  • transient operations
  • flow instabilities
  • artificial intelligence (AI)
  • machine learning (ML)

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Published Papers (1 paper)

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Research

17 pages, 12091 KiB  
Article
Genetic Optimization of Twin-Web Turbine Disc Cavities in Aeroengines
by Yueteng Guo, Suofang Wang and Wenjie Shen
Energies 2024, 17(17), 4346; https://doi.org/10.3390/en17174346 - 30 Aug 2024
Viewed by 758
Abstract
Twin-web turbine discs have been the subject of research recently in an effort to lighten weight and boost aeroengine efficiency. In the past, the cooling design of turbine discs was generally constrained to optimizing a single structural parameter, which hindered the enhancement of [...] Read more.
Twin-web turbine discs have been the subject of research recently in an effort to lighten weight and boost aeroengine efficiency. In the past, the cooling design of turbine discs was generally constrained to optimizing a single structural parameter, which hindered the enhancement of the optimization impact. Therefore, this article proposes a twin-web turbine disc system with a high radius pre-swirl. Driven by the database produced through the numerical simulation, a backpropagation network surrogate model is constructed, and the angles of the pre-swirl nozzles and receiver holes are optimized by a genetic algorithm to enhance the cooling efficiency of the turbine disc. Evaluation was based on the highest disc temperature, disc temperature uniformity, and Nusselt number. The results demonstrate that the suggested surrogate model effectively optimizes the structural characteristics of the twin-web turbine disc by aiming for the specified cooling performance indexes. The cooling effect of the turbine disc is significantly improved in different operating environments. Specifically, the optimized model produces the largest temperature drop in the disc rim temperature. Both axial and radial temperature uniformity have led to a notable enhancement. The alteration in coolant flow within the cavity results in a notable decrease in the area with low heat transfer efficiency and a substantial increase in the Nusselt number. Full article
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