⎯⎯⎯ 2024
    THE SIXTH
      CHINESE
        INTERNATIONAL
          TURBOMACHINERY
            CONFERENCE
                  ⎯⎯⎯ SANYA
CITC 2024·Sanya，China
Notification of paper acceptance 20 June, 2024
Early bird registration online BEFORE 9July, 2024
On-site registration 1 August, 2024
Conference date 2-4 August, 2024

organizer:
Chinese Interntaional
Turbomachinery
Industrial Alliance (CITA)

Co-Organizer:
Shenyang Group Co., Ltd
Special Sponsor:
Dongfang Turbine Co., Ltd.

sponsor:
Chengdu Chengfa Science & Energy Power Engineering Co.,Ltd.
Hangzhou Turbine Power Group Co., Ltd
School of Energy Science and Engineering,Shaanxi Society
of Engineering Thermophysics
Xihua University
Harbin Institute of Technology
Nanhai Institute of Harbin Engineering University
Hefei General Machinery Research Institute Co.,Ltd.
Shaangu group
-Keynote speakers-
-Mehdi Vahdati, Imperial College London
-Vittorio Michelassi, Baker Hughes 
-Guillermo Paniagua, Purdue University
-Matthias Meinke, RWTH Aachen University
-Gauthier.Q.Pierre, Siemens Canada/Concordia University
-Luis San Andrés,Texas A&M University
-Xavier Ottavy,Laboratoire de Mécanique des Fluides et d'Acoustique Lyon
-Fausto P. Garcia Marquez, ETSI Industrial,Universidad de Castilla-La Mancha
-Dan Zhao, University of Canterbury,Fellow of the Academy of Royal Society of New Zealand(Academician) of Canterbury
-Luca d'Agostino, Pisa University
-Yannis Hardalupas, Imperial College London
-Roque Corral, Universidad Politecnica de Madrid
-Daejong Kim,The University of Texas at Arlington
-more ...
CITC2024New Session: Combustion 
click to check this session program
Prof.Jian-qin Suo, NWPU (Northwestern Polytechnical University)
Prof.Yun Wu,National Key Lab of Aerospace Power System and Plasma Technology, Air Force Engineering University
Prof.Peng-hua Qiu, HIT(Harbin Institute of Technology)
Prof.Xing-jian Wang,Tsinghua University 
Prof.Ying-wen Yan, NUAA(Nanjing University of Aeronautics and Astronautics)
Prof.Chi Zhang, Beihang University
Prof.Dong Yang, Southern University of Science and Technology
Da Mo, AECC Shenyang Engine Research Institute 
Speaker:Lei Li, Beihang University 
more...
CITC2024New Session: Air Bearing Industrial Development
Organizer&Chair：Prof.Kai Feng，Hunan university

click to check this session program
Prof.Kai Feng, Hunan university
Zhi-ping Zhang, Senior engineer, GREE
Xue-yuan Zhao, Manager, CRRC Zhuzhou Electric Co.,Ltd. 
Guo-peng Nan, Deputy director, COMAC
Lei Ma,vice manger, Xeca Turbo Technologies
Fang-cheng Xu, Chief engingeer,宙斯能源动力科技（大连）有限公司
Dr.Jian-jun Zhu, Dongguan University of Technology
Dr.Qing-yi Kong, ZCJSD
Sinobrook New Energy Technologies (Shanghai) Co.,Ltd.
more...
CITC2024New Session: Green Power of transportation
Organizer&Chair：Prof.Feng Lin，Jimei University
Prof. Feng Lin, Jimei University
Prof.Yang-jun Zhang,Tsinghua University 
Ren-zhi Zhou Vice chief engineer, AECC Sichuan Gas Turbine Research Establishment 
Prof.Cheng-qing Yuan, Wuhan University of Technology
Shi-fan Chen Director, ChongQing JiangJin Shipping Industry Co.,Ltd
Prof.Ming-yang Yang, SJTU(Shanghai Jiaotong University)
Prof.Feng-li Liang, Nanjing university of Aeronautics and Astronautics
more...
-Keynote speakers(Industrial)-
-Yong Zhang, Shengu Group Co., Ltd.
-Yu Fang, Dongfang Turbine Co., Ltd.
-Yong-feng Sui, Hangzhou Steam Turbine Co., Ltd.
-Yue-ping Yu, Hefei General Machinery Research Institute Co., Ltd.
-Prof.Yu-yan Jiang, School of Mechanical Engineering and Vehichle Engineering,Beijing Institue of Technology
-Yu-ming Zhu, Chinese Academy of Sciences
-Guang-ping Lu, Chengdu ChengfaKeneng Power Engineering Co.,Ltd.
-Yong-zhi Feng, Harbin Power Equipment National Engineering Research Center Co., Ltd.
-Jun-long Zhang, Xi'an Shaangu Power.Co.,Ltd.
-Yu Yang, Xi’an Thermal Power Research Institute Co., Ltd.
-Pu-ning Jiang, Shanghai Steam Turbine Co.,Ltd.
-Ze-ping Wang, Sinoseal Holding
-Hui Tang, Shanghai Suochen Info. Tech Co.,Ltd.
-Chun-yu Pan, Harbin Turbine Company Limited
-more ...
kenote lecture
Speaker: Mehdi Vahdati
Paper ID: 2024******..
Date: Aug 2, 2024
Time: later
Room: later
Data-Driven Modelling of instabilities in turbomachinery
Accurate evaluation of stall and flutter boundary is crucial in design of turbomachines. Aerodynamic and aeroelastic design turbomachines is conducted by simplified simulations and design rules resulting from years of experience; verification and certification are based on experimental testing and computational fluid dynamics (CFD) simulations. However, current designs have approached their limit in efficiency and noise, and to achieve significant improvements new design concepts are required. The rules for aerodynamic and aeroelastic stability do not exist for these new design concepts, and hence, the role of simulations is now more relevant than ever as engine/rig test are very expensive especially in case of failure.
The increase in computing power has enabled the use large scale CFD models, but large scale CFD computations require a significant amount of computational time and cannot be used during design. Moreover, CFD methods require the modelling of turbulence which can be a key driver for accurate modelling of instabilities. In the past few years, there has been a fruitful increase in the use of Machine Learning (ML) approaches toward forecasting unsteady turbulent fluid flows. However, the ML models which are created solely from data (referred to as ‘black-box’ models) are not suitable for stall prediction due to amount of data required for training such models to a satisfactory accuracy level. Due to shortcomings of black-box models for complex science and engineering problems, there is a growing movement towards methodologies that integrate traditional physics-based models with machine learning (ML) techniques. In this presentation the application of such an approach for evaluating the stall and flutter boundary is explored and following areas are explored:
• Turbulence modelling
• Flutter and stall  predictions
kenote lecture
Speaker: Xavier Ottavy
Paper ID: 2024 *******..
Date: Aug 2, 2024
Time: later
Room: later
Aerodynamic and Aeroelastic Investigation of a Composite UHBR Fan
Modern low-speed Ultra-High Bypass Ratio (UHBR) fans predominantly have shorter intake lengths and employ flexible, lightweight, composite blades. These changes promote the evolution of different types of instabilities with multi-physical interactions, such as convective non-synchronous vibration (NSV). To enable further technological advancements, experimental benchmark data on representative geometries is required. Within this context, the test-case ECL5, a representative composite fan stage for UHBR engines, has been designed and tested experimentally on the facility ECL-B3 at Ecole Centrale de Lyon (ECL), with the support of the European project CATANA and the industrial SAFRAN Aircraft Engines. Numerical simulations and experimental results are in very good agreement for the stable operating range. In contrast, instability mechanisms are more complex than predicted by the employed numerical methods. Through the application of synchronized multi-physical instrumentation, the involved fluid-structure interaction is resolved. A detailed presentation of the test-bench and the experimental methodologies are presented together with the last finding about the behaviour close to the stability limit, focusing on the non-synchronous vibrations. Keywords: UHBR fan, aerodynamic performance, instability mechanisms, nonsynchronous vibration
kenote lecture
Speaker: Luis San Andrés
Organization: Texas A&M University<
Paper ID: 2024 *******..
Date: Aug 2, 2024
Time: later
Room: later
Squeeze Film Dampers For Aircraft Engines ENGINEERING MODELS & EXPERIMENTAL VERIFICATION
Squeeze Film Dampers (SFDs) are effective means to ameliorate rotor vibration amplitudes and to suppress instabilities in rotor-bearing systems. A SFD is not an off-the-shelf mechanical element but tailored to a particular rotor-bearing system as its design must satisfy a desired damping ratio; if too low, the damper is ineffective, whereas if damping is too large, the SFD may lock thus aggravating the system amplitude response. The aircraft industry demands well-engineered SFDs with a low footprint to reduce cost, maintenance, weight, and space while pushing for higher operating shaft speeds to increase power output. Modern air breathing gas turbine engines implement ultra-short length SFDs (L/D ≤ 0.2) to satisfy stringent weight and space demands with low parts count. Despite the myriad of analyses and experimental results in the literature, there is little effort to assess the dynamic forced performance of sealed ends SFDs. The lecture reviews the experimental record and prediction model validations for damping and inertia force coefficients of SFDs sealed with piston ring or orings, and operating over a wide range of conditions. The issue of air ingestion and entrapment is thoroughly discussed along with its effect on the damping and inertia coefficients.
kenote lecture
Organization: Imperial College London
Paper ID: 2024 *******..
Date: Aug 2, 2024
Time: later
Room: later
Decarbonized Combustion: Research Needs for Zero Pollution
MClimate change is the biggest challenge that our society faces. To deliver the required reduction of carbon emissions, a smooth transition is needed from the existing infrastructure to a new approach that is yet to be agreed at an international level. Consequently, combustion technologies are expected to remain important during the development of new infrastructure over the next 30 years. However, combustion technologies must be able to deliver zero pollution, which include carbon dioxide, Unburned Hydrocarbons, NOx and particulates and other substances, specific to different industrial processes. The talk will identify and review different combustion technologies that can deliver net zero carbon emissions and overall zero pollution within short and medium timescales, which include: 1.Hydrogen and its vectors (e.g. Ammonia) 2.Supercritical CO2 3.Solar or e-fuels 4.Metal nanoparticle fuel The relevance of these approaches to aviation, land and marine transport and power generation will be considered. The scientific challenges that future research must address to deliver these combustion technologies will be presented.
kenote lecture
Organization:The University of Texas at Arlington
Paper ID: 2024 *******..
Date: Aug 2, 2024
Time: later
Room: later
Progress in Modeling and Experimental Characterization of Thrust Foil Bearings for Oil Free Turbomachinery
Foil bearing is one of the air/gas-lubricated hydrodynamic (or aerodynamic) bearings that do not require an auxiliary oil lubrication system. The bearing surface is typically made of thin metallic foil and is supported by a compliant structure providing structural stiffness and damping to the bearing. The most popular compliant structure is a corrugated metal, the bump foil. Foil bearing is a widely used oil-free bearing technology along with active magnetic bearings. In contrast to the magnetic bearing, foil bearings work at extremely high temperatures, up to 650oC and cryogenic temperatures, if the lubricating gas media has proper viscosity. In recent years, foil bearings have found use in many industrial applications where oil-free operation is advantageous, such as gas turbine generators, turbo blowers, and refrigeration compressors. The bearing load capacity is typically presented in terms of the specific load capacity (SLC), which is load capacity divided by the bearing projection area (shaft diameter times bearing length). Conventional foil bearings have sufficient SLC (100~200kPa) at high speeds and for intended applications. However, at low-speed operations such as startup and shutdown, the load capacity can be inadequate, especially for large-scale turbomachines, due to the heavy weight of the rotor. Hybridization with other load-supporting mechanisms is one way to improve the load capacity of the foil bearing. In hybrid foil bearing (HFB), externally pressurized air/gas is injected into the clearance of the bearing to levitate the shaft. The concept of hybridization has been applied to both radial and axial foil bearings. This presentation provides recent progress in analytical models and experimental characterization of thrust foil bearings developed and tested at TESLAB including hybrid trust foil bearings.
kenote lecture
Speaker:Yang-jun Zhang
Organization:Tsinghua University
Paper ID: 2024 *******..
Date: Aug 2, 2024
Time: later
Room: later
Flying Cars: Opening a New Era of Intelligent Air Mobility
Flying cars refer to mobility vehicles aimed at intelligent three-dimensional mobility, mainly including electric vertical takeoff and landing aircraft (eVTOL) and flyable road vehicles. The development of flying cars faces three major challenges: load and range, intelligent driving, and airworthiness safety. These challenges require breakthroughs in power, platform, and traffic core technologies. Flying cars will open a new era of intelligent air mobility (IAM), including urban air mobility (UAM) and rural air mobility (RAM). IAM is expected to become the primary carrier and strategic direction for the development of low-altitude economy. Combined with intelligent ground mobility, IAM will evolve into intelligent three-dimensional mobility, serving as the primary carrier and scenario for the application of new technologies such as new energy, artificial intelligence, big data, and 5G communication. It will play a significant role in driving and leading the overall economy and society.
kenote lecture
Speaker: Luca d’Agostino 
Organization: Civil and Industrial Engineering Department, University of Pisa, Pisa, Italy. 
Paper ID: 2024 *******..
Date: Aug 2, 2024
Time: later
Room: later
Identification of Backflow Vortex Instability in Rocket Engine Inducers
Bayesian estimation is applied to the analysis of backflow vortex instabilities in typical three- and four-bladed liquid propellant rocket (LPR) engine inducers. The flow in the impeller eye is modeled as a set of equally intense and evenly spaced 2D axial vortices, located at the same radial distance from the axis and rotating at a fraction of the impeller speed. The circle theorem and the Bernoulli’s equation are used to predict the flow pressure in terms of the vortex number, intensity, rotational speed, and radial position. The theoretical spectra so obtained are frequency broadened to mimic the dispersion of the experimental data and parametrically fitted to the measured pressure spectra by maximum likelihood estimation with equal and independent Gaussian errors. The method is applied to three inducers, tested in water at room temperature and different loads and cavitation conditions. It successfully characterizes backflow instabilities using the signals of a single pressure transducer flush-mounted on the casing of the impeller eye, effectively by-passing the aliasing and data acquisition/reduction complexities of traditional multiple-sensor cross-correlation methods. The identification returns the estimates of the model parameters and their standard errors, providing the information necessary for assessing the accuracy and statistical significance of the results. The flowrate is found to be the major factor affecting the backflow vortex instability, which, on the other hand, is rather insensitive to the occurrence of cavitation. The results are consistent with the data reported in the literature, as well as with those generated by the auxiliary models specifically developed for initializing the maximum likelihood searches and supporting the identification procedure.
kenote lecture
Speaker: Prof. Fausto Pedro García Márquez 
Organization: ETSI Industrial,Universidad de Castilla-La Mancha  
Paper ID: 2024 *******..
Date: Aug 2, 2024
Time: later
Room: later
Acelerating Energy Innovation Using AI
To-date, most of the energy sector's transition efforts have focused on hardware: new low-carbon infrastructure that will replace legacy carbon-intensive systems. Relatively little effort and investment has focused on another critical tool for the transition: next-generation digital technologies, in particular artificial intelligence (AI). These powerful technologies can be adopted more quickly at larger scales than new hardware solutions, and can become an essential enabler for the energy transition. AI is already proving its value to the energy transition in multiple domains, driving measurable improvements in renewable energy forecasting, grid operations and optimization, coordination of distributed energy assets and demand-side management, and materials innovation and discovery. AI holds far greater potential to accelerate the global energy transition, but it will only be realized if there is greater AI innovation, adoption and collaboration across the industry.
More information about speaker, please check the link   https://blog.uclm.es/faustopedrogarcia
kenote lecture
Speaker: Prof. Dan Zhao
Organization: Royal Society of New Zealand  
Paper ID: 2024 *******..
Date: Aug 2, 2024
Time: later
Room: later
Gas turbine combustion instability generation mechanisms and practical control approaches
In engine combustion systems such as gas turbines and ramjets, pressure fluctuations are always present, even during normal operation. One of design prerequisites for the engine combustors is stable operation, since large-amplitude self-sustained pressure fluctuations (also known as combustion instability) have the potential to cause serious structural damage and catastrophic engine failure. The typical generation mechanisms of such undesirable combustion instability are discussed and highlighted. To dampen pressure fluctuations and to reduce noise, acoustic dampers are widely applied as a passive control means to stabilize combustion/engine systems. However, they cannot respond to the dynamic changes of operating conditions and tend to be effective over certain narrow range of frequencies. To maintain their optimum damping performance over a broad frequency range, extensive researches have been conducted during the past four decades. The present work is to summarize the status, challenges and progress of implementing such acoustic dampers on engine systems. The damping effect and mechanism of various acoustic dampers, such as Helmholtz resonators, perforated liners, baffles, half- and quarter-wave tube are introduced first. A summary of numerical, experimental and theoretical studies are then presented to review the progress made so far. Finally, as an alternative means, ‘tunable acoustic dampers’ are discussed. Potential, challenges and issues associated with the dampers practical implementation are highlighted.
More information about speaker, please check the link   https://blog.uclm.es/faustopedrogarcia