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Machines
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Emerging Techniques and Their Application in Turbomachinery
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Emerging Techniques and Their Application in Turbomachinery

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Turbomachinery".

Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 10540

Special Issue Editors

Dr. Yanjun Shi

E-Mail Website
Guest Editor
School of Mechanical Engineering, Dalian University of Technology, Dalian, China
Interests: connected and automated vehicles; V2X; industrial IoT; digital twins; big data; intelligent machines; cooperative connected technologies
Special Issues, Collections and Topics in MDPI journals
Dr. Matthias Meinke

E-Mail Website
Guest Editor
Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany
Interests: computing in mathematics; natural science; engineering and medicine; aerospace engineering; fluid dynamics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Juan Du

E-Mail Website
Guest Editor
Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
Interests: turbomachinery unsteady flow phenomenon; stability prediction; optimization and aerodynamic design methods

Special Issue Information

Dear Colleagues,

Turbomachinery plays a significant role in the economy, especially in large-scale industrial systems. Turbomachinery also represents high-emission equipment in the energy field, including thermal power plants, gas turbine power plants, hydropower stations, and nuclear power stations. With the in-depth integration of a new generation of information technology, academia and industry have carried out significant research and development in emerging technology fields, such as Industry 4.0, big data, the Internet of Things (IoT), cloud computing, artificial intelligence, and blockchain. These emerging technologies create both opportunities and challenges to turbomachinery development.

This Special Issue invites high-quality research papers covering a wide range of topics related to new emerging techniques and their turbomachinery applications. The papers are expected to provide contributions, data, and ideas for improving the new emerging approach currently used in turbomachinery design and analysis.

In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following new emerging techniques: artificial intelligence, machine learning, big data, and digital twins, and their application in the following fields:

  • Turbomachinery aerodynamic design and analysis;
  • Turbomachinery aerodynamic optimization;
  • Turbomachinery structural optimization;
  • Turbomachinery operation and maintenance.

We look forward to receiving your contributions.

Dr. Yanjun Shi
Dr. Matthias Meinke
Prof. Dr. Juan Du
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. Machines is an international peer-reviewed open access monthly 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 2400 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

  • compressors
  • turbines
  • CFD
  • artificial intelligence
  • machine learning
  • big data
  • digital twins
  • intelligent operation
  • aerodynamic/structural design optimization
  • blade design

Published Papers (5 papers)

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Research

26 pages, 9917 KiB  
Article
Multi-Objective Optimization Design for a Novel Parametrized Torque Converter Based on an Integrated CFD Cascade Design System
by Zilin Ran, Wenxing Ma, Kaifeng Wang and Bosen Chai
Machines 2022, 10(6), 482; https://doi.org/10.3390/machines10060482 - 15 Jun 2022
Cited by 3 | Viewed by 1791
Abstract
Advanced cascade design theories and methods are crucial to the rapid development of torque converters. Therefore, the study proposed a new parametric design method for a hydrodynamic torque converter cascade. The method is embodied by using a cubic non-uniform rational B-splines (NURBS) open [...] Read more.
Advanced cascade design theories and methods are crucial to the rapid development of torque converters. Therefore, the study proposed a new parametric design method for a hydrodynamic torque converter cascade. The method is embodied by using a cubic non-uniform rational B-splines (NURBS) open curve and closed curve, respectively, to carry out the parametric design of the unit blade camberline and unit blade thickness distribution, and the curvature of the designed blade curve is continuous. Then, the author developed batch and script files in the Isight platform for a fully automated integrated design of the hydrodynamic torque converter, including cascade parametric modeling, meshing, computational fluid dynamics (CFD) simulation, post-processing, and optimization design. A three-dimensional cascade integrated optimization design system of the hydrodynamic torque converter is established with CFD technology as the bottom layer design, a control file as the middle layer, and an optimization algorithm as the top layer drive. Finally, multi-objective optimization was carried out for the key cascade parameters (camberline peak height). Compared with the original blade, the optimized NURBS blade increased by 7.207% in high-efficiency region width (Gη), and the optimized blade increased by 2.673% in peak efficiency (ηmax) to meet the actual engineering requirements. The new parametric design method of the blade shape and the integrated optimization design system of a three-dimensional cascade of torque converter proposed in this paper significantly reduces the design costs and shortens the design cycle of the torque converter, which will provide a valuable reference for engineers of turbomachinery. Full article
(This article belongs to the Special Issue Emerging Techniques and Their Application in Turbomachinery)
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17 pages, 6166 KiB  
Article
Dynamic Characteristic Analysis of the Multi-Stage Centrifugal Pump Rotor System with Uncertain Sliding Bearing Structural Parameters
by Lijun Lin, Mingge He, Wensheng Ma, Qingyuan Wang, Haiyan Zhai and Congying Deng
Machines 2022, 10(6), 473; https://doi.org/10.3390/machines10060473 - 13 Jun 2022
Cited by 4 | Viewed by 1618
Abstract
The traditional dynamic characteristic analysis of the multi-stage centrifugal pump rotor system is developed assuming the bearing structural parameters with constant values. However, the manufacturing errors will cause the structural parameters to vary around their nominal values and then affect the dynamic characteristics [...] Read more.
The traditional dynamic characteristic analysis of the multi-stage centrifugal pump rotor system is developed assuming the bearing structural parameters with constant values. However, the manufacturing errors will cause the structural parameters to vary around their nominal values and then affect the dynamic characteristics of the bearing-rotor system. Thus, this paper proposes a method for analyzing the dynamic characteristics of the bearing-rotor system with uncertain bearing structural parameters. First, dynamic characteristic coefficients of the sliding bearing are identified to establish the dynamic model of the rotor system, and its dynamic characteristics are analyzed through finite element simulations. Next, the sliding bearing structural parameters are taken as the variables to establish an optimization model, which is solved by the improved particle swarming optimization algorithm to obtain the extreme critical speed of the rotor system. A case study was carried out on a multi-stage centrifugal pump. The obtained extreme values of the critical speeds were close to those calculated using the multiple samples generated by the Monte Carlo method, indicating that the proposed method can provide accurate variation ranges of critical speeds efficiently and lay a theoretical basis for selecting robust operational speeds and designing the rotor system of the multi-stage centrifugal pump. Full article
(This article belongs to the Special Issue Emerging Techniques and Their Application in Turbomachinery)
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15 pages, 5619 KiB  
Article
A Robust Operation Method with Advanced Adiabatic Compressed Air Energy Storage for Integrated Energy System under Failure Conditions
by Rong Xie, Weihuang Liu, Muyan Chen and Yanjun Shi
Machines 2022, 10(1), 51; https://doi.org/10.3390/machines10010051 - 09 Jan 2022
Cited by 2 | Viewed by 1533
Abstract
Integrated energy system (IES) is an important direction for the future development of the energy industry, and the stable operation of the IES can ensure heat and power supply. This study established an integrated system composed of an IES and advanced adiabatic compressed [...] Read more.
Integrated energy system (IES) is an important direction for the future development of the energy industry, and the stable operation of the IES can ensure heat and power supply. This study established an integrated system composed of an IES and advanced adiabatic compressed air energy storage (AA-CAES) to guarantee the robust operation of the IES under failure conditions. Firstly, a robust operation method using the AA-CAES is formulated to ensure the stable operation of the IES. The method splits the energy release process of the AA-CAES into two parts: a heat-ensuring part and a power-ensuring part. The heat-ensuring part uses the high-temp tank to maintain the balance of the heat subnet of the IES, and the power-ensuring part uses the air turbine of the first stage to maintain the balance of the power subnet. Moreover, another operation method using a spare gas boiler is formulated to compare the income of the IES with two different methods under failure conditions. The results showed that the AA-CAES could guarantee the balance of heat subnet and power subnet under steady conditions, and the dynamic operation income of the IES with the AA-CAES method was a bit higher than the income of the IES with the spare gas boiler method. Full article
(This article belongs to the Special Issue Emerging Techniques and Their Application in Turbomachinery)
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17 pages, 4662 KiB  
Article
Bayesian Optimization Design of Inlet Volute for Supercritical Carbon Dioxide Radial-Flow Turbine
by Chao Bian, Shaojie Zhang, Jinguang Yang, Haitao Liu, Feng Zhao and Xiaofang Wang
Machines 2021, 9(10), 218; https://doi.org/10.3390/machines9100218 - 28 Sep 2021
Cited by 3 | Viewed by 1867
Abstract
The radial-flow turbine, a key component of the supercritical CO2 (S-CO2) Brayton cycle, has a significant impact on the cycle efficiency. The inlet volute is an important flow component that introduces working fluid into the centripetal turbine. In-depth research on [...] Read more.
The radial-flow turbine, a key component of the supercritical CO2 (S-CO2) Brayton cycle, has a significant impact on the cycle efficiency. The inlet volute is an important flow component that introduces working fluid into the centripetal turbine. In-depth research on it will help improve the performance of the turbine and the entire cycle. This article aims to improve the volute flow capacity by optimizing the cross-sectional geometry of the volute, thereby improving the volute performance, both at design and non-design points. The Gaussian process surrogate model based parameter sensitivity analysis is first conducted, and then the optimization process is implemented by Bayesian optimization (BO) wherein the acquisition function is used to query optimal design. The results show that the optimized volute has better and more uniform flow characteristics at design and non-design points. It has a smoother off-design conditions performance curve. The total pressure loss coefficient at the design point of the optimized volute is reduced by 33.26%, and the flow deformation is reduced by 54.55%. Full article
(This article belongs to the Special Issue Emerging Techniques and Their Application in Turbomachinery)
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17 pages, 6845 KiB  
Article
Aeroacoustic Optimization of the Bionic Leading Edge of a Typical Blade for Performance Improvement
by Haoran Liu, Yeming Lu, Jinguang Yang, Xiaofang Wang, Jinjun Ju, Jiangang Tu, Zongyou Yang, Hui Wang and Xide Lai
Machines 2021, 9(8), 175; https://doi.org/10.3390/machines9080175 - 18 Aug 2021
Cited by 7 | Viewed by 2021
Abstract
New, innovative optimization approaches to improve turbomachine performance and reduce turbomachine noise are significant in engineering. In this paper, based on the bionic concept, a wave structure is used to shape the leading edge of the blade. Using an NACA0018 blade as the [...] Read more.
New, innovative optimization approaches to improve turbomachine performance and reduce turbomachine noise are significant in engineering. In this paper, based on the bionic concept, a wave structure is used to shape the leading edge of the blade. Using an NACA0018 blade as the basic blade, a united parametric approach controlled by three parameters is proposed to configure the wavy leading edge. Then, a new optimization strategy boosting design efficiency is established to output the optimal design results. Finally, the corresponding performance and flow mechanism are analyzed. Taking into account the existence of the hub wall and the shroud wall from the closed impeller, a near-wall adjustment factor is added, the significance of which is herein demonstrated. An optimal bionic blade is successfully obtained by the optimization strategy, which can reduce the mean drag coefficient by about 6% and the overall sound pressure level by about 3 dB, in relative to the original blade. Mechanism analysis revealed that the wave structure can induce spanwise velocity at the leading edge and cause a further delay in flow separation in the downstream region, synchronously reducing drag and noise. Full article
(This article belongs to the Special Issue Emerging Techniques and Their Application in Turbomachinery)
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