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Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power最新文献

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Uncertainty in High-Pressure Stator Performance Measurement in an Annular Cascade at Engine-Representative Reynolds and Mach 典型雷诺数和马赫数下环形叶栅高压定子性能测量中的不确定性
Lakshya Bhatnagar, G. Paniagua, D. G. Cuadrado, Papa Aye N. Aye-Addo, Antonio Castillo Sauca, F. Lozano, Matthew J. Bloxham
The betterment of the turbine performance plays a prime role in all future transportation and energy production systems. Precise uncertainty quantification of experimental measurement of any performance differential is therefore essential for turbine development programs. In this paper, the uncertainty analysis of loss measurements in a high-pressure turbine vane are presented. Tests were performed on a stator geometry at engine representative conditions in a new annular turbine module called BRASTA (Big Rig for Annular Stationary Turbine Analysis) located within the Purdue Experimental Turbine Aerothermal Lab. The aerodynamic probes are described with emphasis on their calibration and uncertainty analysis, first considering single point measurement, followed by the spatial averaging implications. The change of operating conditions and flow blockage due to measurement probes are analyzed using CFD, and corrections are recommended on the measurement data. The test section and its characterization are presented, including calibration of the sonic valve. The sonic valve calibration is necessary to ensure a wide range of operation in Mach and Reynolds. Finally, the vane data are discussed, emphasizing their systematic and stochastic uncertainty.
涡轮性能的改善在未来的运输和能源生产系统中起着重要的作用。因此,对任何性能差异的实验测量进行精确的不确定度量化对于涡轮机开发计划至关重要。本文对高压涡轮叶片损失测量的不确定度进行了分析。在普渡大学实验涡轮气动热实验室的新型环形涡轮模块BRASTA(用于环形静止涡轮分析的大型钻机)中,对发动机代表性条件下的定子几何形状进行了测试。气动探头的描述重点是其校准和不确定度分析,首先考虑单点测量,其次是空间平均的含义。利用CFD分析了测量探头引起的工况变化和流量堵塞,并对测量数据提出了修正建议。介绍了超声波阀的试验段及其特性,并对其进行了标定。为了保证在马赫数和雷诺数的大范围内工作,超声波阀校准是必要的。最后,对叶片数据进行了讨论,强调了它们的系统不确定性和随机不确定性。
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引用次数: 3
Binary Repetitive Model Predictive Active Flow Control Applied to an Annular Compressor Stator Cascade With Periodic Disturbances 具有周期扰动的环空压气机定子叶栅二元重复模型预测主动流量控制
Benjamin Fietzke, R. King, Jan Mihalyovics, D. Peitsch
Novel pressure gain combustion concepts invoke periodic flow disturbances in a gas turbine’s last compressor stator row. This contribution presents studies of mitigation efforts on the effects of these periodic disturbances on an annular compressor stator rig. The passages were equipped with pneumatic Active Flow Control (AFC) influencing the stator blade’s suction side, and a rotating throttling disc downstream of the passages inducing periodic disturbances. For steady blowing, it is shown that with increasing actuation amplitudes Cμ, the extension of a hub corner vortex deteriorating the suction side flow can be reduced, resulting in an increased static pressure rise coefficient Cp of a passage. The effects of the induced periodic disturbances could not be addressed intrinsically, by using steady blowing actuation, Considering a corrected total pressure loss coefficient ζ*, which includes the actuation effort, the stator row’s efficiency decreases with higher cμ due to the increasing costs of the actuation mass flow. Therefore, a closed-loop approach is presented to address the effects of the disturbances more specifically, thus lowering the actuation cost, i.e., mass flow. For this, a Repetitive Model Predictive Control (RMPC) was applied, taking advantage of the periodic nature of the induced disturbances. The presented RMPC formulation is restricted to a binary control domain to account for the used solenoid valves’ switching character. An efficient implementation of the optimization within the RMPC is presented, which ensures real-time capability. As a result, Cp increases in a similar magnitude but with a lower actuation mass flow of up to 66%, resulting in a much lower ζ* for similar values of cμ.
新的压力增益燃烧概念在燃气轮机压气机最后一排定子中调用周期性流动扰动。这一贡献提出了对这些周期性扰动对环形压缩机定子钻机影响的缓解努力的研究。在通道下游安装气动主动流量控制装置(AFC),对静叶吸力侧产生影响,并在通道下游安装旋转节流盘,产生周期性扰动。对于定常吹气,随着驱动幅值Cμ的增大,轮毂角涡扩展对吸力侧流动的影响减小,导致通道静压上升系数Cp增大。考虑到校正的总压损失系数ζ*,其中包括驱动努力,由于驱动质量流的成本增加,定子排的效率随着cμ的增加而降低。因此,提出了一种闭环方法来更具体地解决扰动的影响,从而降低了驱动成本,即质量流量。为此,利用诱导扰动的周期性特性,采用了重复模型预测控制(RMPC)。考虑到电磁阀的开关特性,所提出的RMPC公式被限制在二进制控制域中。在保证实时性能的前提下,提出了一种在RMPC内有效实现优化的方法。作为结果,Cp增加了相似的幅度,但较低的驱动质量流量高达66%,导致一个更低的ζ*为相似的值的cμ。
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引用次数: 1
Air-Steam Dual Loop Gas Turbine Engine With Pulse Detonation Combustion 脉冲爆震燃烧的空气-蒸汽双回路燃气涡轮发动机
Pereddy Nageswara Reddy
Air-steam Dual Loop Gas Turbine Engine (DLGTE) consists of a gas turbine engine with Pulse Detonation Combustor (PDC) (operating by the Humphrey cycle) with the air as the working fluid and a steam turbine engine (operating by the Rankine cycle) with the steam as the working fluid. The temperature of the hot detonation products is reduced to Turbine Inlet Temperature (TIT) by exchanging heat energy between detonation products and water in a Detonation Products to Water Heat Exchanger (DPWHE). The thermodynamic cycle of operation of DLGTE with PDC is analyzed based on quasi-steady state one dimensional formulation, and a computer code is developed in MATLAB to simulate the engine performance at different compressor pressure ratios and TITs. C2H4/air is taken as the fuel-oxidizer. It is found that DLGTE with PDC achieves 40 to 47% thermal efficiency as against 20 to 35% of Base Line Gas Turbine Engine (BLGTE) and 27 to 40% of Combined Cycle Gas Turbine Engine (CCGTE) with a Steady Flow Combustor (SFC) depending on the cycle pressure ratios and TITs. The specific work output of DLGTE is found to increase from 875 to 1200 kJ/kg air as against 180 to 380 kJ/kg air of BLGTE and 200 to 430 kJ/kg air of CCGTE.
空气-蒸汽双回路燃气涡轮发动机(DLGTE)由以空气为工质的燃气涡轮发动机(采用汉弗莱循环)和以蒸汽为工质的蒸汽涡轮发动机(采用朗肯循环)组成。在爆轰产物-水热交换器(DPWHE)中,通过爆轰产物与水之间的热能交换,将热爆轰产物的温度降低到涡轮入口温度(TIT)。基于准稳态一维公式分析了带PDC的DLGTE的热力循环,并在MATLAB中编写了计算机程序,模拟了发动机在不同压气机压比和TITs下的性能。采用C2H4/空气作为燃料氧化剂。研究发现,根据循环压力比和TITs的不同,配备PDC的DLGTE的热效率为40 - 47%,而基本型燃气轮机发动机(BLGTE)的热效率为20 - 35%,配备定流燃烧室(SFC)的联合循环燃气轮机发动机(CCGTE)的热效率为27 - 40%。与BLGTE的180 ~ 380 kJ/kg空气和CCGTE的200 ~ 430 kJ/kg空气相比,DLGTE的比功输出从875 ~ 1200 kJ/kg空气增加。
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引用次数: 0
Hot-Wire Measurements in Non-Calibrated Conditions 非校准条件下的热线测量
Yuexin Wang, T. Guo, Hui-ren Zhu
The hot-wire anemometer is a widely used instrumentation to determine flow velocity and to investigate flow quality. The main objective of this paper is to expand the application range of the hot wire by improving the measurement accuracy under non-calibrated temperature and pressure. According to the four kinds of heat transfer derivations, a new calibration method was carried out. Considering natural convection, heat radiation and heat conduction, and forced convection heat transfer, it can be found that the forced convection heat transfer plays a dominant role, and the main factor causing the change is the temperature. Forced convection heat transfer also changes with pressure, which affects heat transfer by affecting kinematic viscosity. Based on this, a new calibration method and formula of velocity were put forward, which can be used over a range of temperature and pressure, considering the changes of physical property of the calibration scheme were verified by numerical simulation. The numerical calculated results were compared, the average error was 0.69%, the maximum error was 2.9%. The results show that the calibration method has high accuracy in a certain range. This paper provides a new solution for the calibration of hot-wire anemometer, and expands the adaptability of hot-wire anemometer in the measurement of severe external conditions.
热线风速仪是一种广泛应用于测定流速和研究气流质量的仪器。本文的主要目的是通过提高非校准温度和压力下的测量精度来扩大热丝的应用范围。根据这四种传热导数,提出了一种新的标定方法。综合考虑自然对流、热辐射热传导和强制对流换热,可以发现强制对流换热起主导作用,引起变化的主要因素是温度。强制对流换热也随着压力的变化而变化,压力通过影响运动粘度来影响换热。在此基础上,提出了一种可在一定温度和压力范围内使用的速度标定方法和公式,并通过数值模拟对标定方案进行了验证。对数值计算结果进行比较,平均误差为0.69%,最大误差为2.9%。结果表明,该标定方法在一定范围内具有较高的精度。本文为热线风速仪的校准提供了一种新的解决方案,扩大了热线风速仪在恶劣外部条件下测量的适应性。
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引用次数: 0
Application of Ultra-Low NOx Combustor to the MHPS Existing Gas Turbine 超低NOx燃烧室在MHPS既有燃气轮机上的应用
Takashi Nishiumi, Hirofumi Ohara, Kotaro Miyauchi, Sosuke Nakamura, T. Ai, Masahito Kataoka
In recent years, MHPS achieved a NET M501J gas turbine combined cycle (GTCC) efficiency in excess of 62% operating at 1,600°C, while maintaining NOx under 25ppm. Taking advantage of our gas turbine combustion design, development and operational experience, retrofits of earlier generation gas turbines have been successfully applied and will be described in this paper. One example of the latest J-Series technologies, a conventional pilot nozzle was changed to a premix type pilot nozzle for low emission. The technology was retrofitted to the existing F-Series gas turbines, which resulted in emission rates of lower than 9ppm NOx(15%O2) while maintaining the same Turbine Inlet Temperature (TIT: Average Gas Temperature at the exit of the transition piece). After performing retrofitting design, high pressure rig tests, the field test prior to commercial operation was conducted on January 2019. This paper describes the Ultra-Low NOx combustor design features, retrofit design, high pressure rig test and verification test results of the upgraded M501F gas turbine. In addition, it describes another upgrade of turbine to improve efficiency and of combustion control system to achieve low emissions. Furthermore it describes the trouble-free upgrade of seven (7) units, which was completed by utilizing MHPS integration capabilities, including handling all the design, construction and service work of the main equipment, plant and control systems.
近年来,MHPS在1600°C下实现了NET M501J燃气轮机联合循环(GTCC)效率超过62%,同时将NOx保持在25ppm以下。利用我们的燃气轮机燃烧设计,开发和运行经验,早期燃气轮机的改造已经成功应用,并将在本文中进行描述。最新j系列技术的一个例子是,将传统先导喷嘴改为预混先导喷嘴,以降低排放。该技术被应用于现有的f系列燃气轮机,其结果是在保持相同的涡轮进口温度(TIT:过渡段出口的平均气体温度)的情况下,排放率低于9ppm NOx(15%O2)。在进行改造设计、高压钻机测试后,2019年1月进行了商业运营前的现场测试。介绍了升级后的M501F燃气轮机超低NOx燃烧室的设计特点、改造设计、高压台架试验及验证试验结果。此外,还介绍了汽轮机为提高效率和燃烧控制系统为实现低排放而进行的另一种升级。此外,还介绍了利用MHPS集成能力完成的七(7)台机组的无故障升级,包括处理主要设备、工厂和控制系统的所有设计、施工和服务工作。
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引用次数: 0
Rapid Defect Detection and Classification in Images Using Convolutional Neural Networks 基于卷积神经网络的图像快速缺陷检测与分类
P. Warren, Hessein Ali, Hossein Ebrahimi, Hossein Ebrahimi
Several image processing methods have been implemented over recent years to assist and partially replace on-site technician visual inspection of both manufactured parts and operational equipments. Convolutional neural networks (CNNs) have seen great success in their ability to both identify and classify anomalies within images, in some cases they do this to a higher degree of accuracy than an expert human. Several parts that are manufactured for various aspects of turbomachinery operation must undergo a visual inspection prior to qualification. Machine learning techniques can streamline these visual inspection processes and increase both efficiency and accuracy of defect detection and classification. The adoption of CNNs to manufactured part inspection can also help to improve manufacturing methods by rapidly retrieving data for overall system improvement. In this work a dataset of images with a variety of surface defects and some without defects will be fed through varying CNN set-ups for the rapid identification and classification of the flaws within the images. This work will examine the techniques used to create CNNs and how they can best be applied to part surface image data, and determine the most accurate and efficient techniques that should be implemented. By combining machine learning with non-destructive evaluation methods component health can be rapidly determined and create a more robust system for manufactured parts and operational equipment evaluation.
近年来已经实施了几种图像处理方法,以协助和部分取代现场技术人员对制造零件和操作设备的视觉检查。卷积神经网络(cnn)在识别和分类图像中的异常方面取得了巨大的成功,在某些情况下,它们比专家的准确率更高。为涡轮机械运行的各个方面而制造的几个部件在获得资格之前必须经过目视检查。机器学习技术可以简化这些视觉检测过程,提高缺陷检测和分类的效率和准确性。采用cnn对制造零件的检测也可以通过快速检索数据来改进制造方法,从而改进整个系统。在这项工作中,有各种表面缺陷和一些没有缺陷的图像数据集将通过不同的CNN设置进行馈送,以便快速识别和分类图像中的缺陷。这项工作将研究用于创建cnn的技术,以及如何将它们最好地应用于零件表面图像数据,并确定应该实施的最准确和最有效的技术。通过将机器学习与非破坏性评估方法相结合,可以快速确定部件健康状况,并为制造部件和运行设备评估创建更强大的系统。
{"title":"Rapid Defect Detection and Classification in Images Using Convolutional Neural Networks","authors":"P. Warren, Hessein Ali, Hossein Ebrahimi, Hossein Ebrahimi","doi":"10.1115/gt2021-59801","DOIUrl":"https://doi.org/10.1115/gt2021-59801","url":null,"abstract":"\u0000 Several image processing methods have been implemented over recent years to assist and partially replace on-site technician visual inspection of both manufactured parts and operational equipments. Convolutional neural networks (CNNs) have seen great success in their ability to both identify and classify anomalies within images, in some cases they do this to a higher degree of accuracy than an expert human. Several parts that are manufactured for various aspects of turbomachinery operation must undergo a visual inspection prior to qualification. Machine learning techniques can streamline these visual inspection processes and increase both efficiency and accuracy of defect detection and classification. The adoption of CNNs to manufactured part inspection can also help to improve manufacturing methods by rapidly retrieving data for overall system improvement. In this work a dataset of images with a variety of surface defects and some without defects will be fed through varying CNN set-ups for the rapid identification and classification of the flaws within the images. This work will examine the techniques used to create CNNs and how they can best be applied to part surface image data, and determine the most accurate and efficient techniques that should be implemented. By combining machine learning with non-destructive evaluation methods component health can be rapidly determined and create a more robust system for manufactured parts and operational equipment evaluation.","PeriodicalId":169840,"journal":{"name":"Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125538896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Considerations for the Extension of Gas Path Analysis To Electrified Aircraft Propulsion Systems 将气路分析推广到电气化飞机推进系统的思考
D. Simon, Randy L. Thomas, Kyle Dunlap
Aircraft operators rely on gas path analysis techniques for monitoring the performance and health of their gas turbine engine assets. This is accomplished by analyzing discernable shifts in measurement parameters acquired from the engine. This paper reviews the founding mathematical principles of gas path analysis, including conventional approaches applied for estimating engine performance deterioration. Considerations for extending the application of gas path analysis techniques to Electrified Aircraft Propulsion (EAP) systems is also discussed, and simulated results from their application to an EAP concept comprised of turbomachinery and electrical system hardware is provided. Results are provided comparing the parameter estimation accuracy offered by taking a whole-system approach towards the problem setup versus that offered by analyzing each subsystem individually. For the latter, the importance of having accurate direct or inferred measurements of external mechanical torque loads placed upon turbomachinery shafts is emphasized.
飞机运营商依靠气路分析技术来监测燃气涡轮发动机资产的性能和健康状况。这是通过分析从发动机获得的测量参数中可识别的变化来完成的。本文综述了气路分析的基本数学原理,包括用于估计发动机性能劣化的常规方法。讨论了将气路分析技术应用于电气化飞机推进(EAP)系统的考虑,并提供了将其应用于由涡轮机械和电气系统硬件组成的电气化飞机推进(EAP)概念的仿真结果。结果比较了采用全系统方法解决问题与单独分析每个子系统所提供的参数估计精度。对于后者,强调了对放置在涡轮机械轴上的外部机械扭矩负载进行精确的直接或推断测量的重要性。
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引用次数: 2
Experimental Development of On-Line Flame Transfer Function Measurements for Fielded Gas Turbines 现场燃气轮机火焰传递函数在线测量的实验研究
A. Matthews, Anna Cobb, S. Adhikari, David Wu, T. Lieuwen, J. Blust, B. Emerson
Understanding thermoacoustic instabilities is essential for the reliable operation of gas turbine engines. To complicate this understanding, the extreme sensitivity of gas turbine combustors can lead to instability characteristics that differ across a fleet. The capability to monitor flame transfer functions in fielded engines would provide valuable data to improve this understanding and aid in gas turbine operability from R&D to field tuning. This paper presents a new experimental facility used to analyze performance of full-scale gas turbine fuel injector hardware at elevated pressure and temperature. It features a liquid cooled, fiber-coupled probe that provides direct optical access to the heat release zone for high-speed chemiluminescence measurements. The probe was designed with fielded applications in mind. In addition, the combustion chamber includes an acoustic sensor array and a large objective window for verification of the probe using high-speed chemiluminescence imaging. This work experimentally demonstrates the new setup under scaled engine conditions, with a focus on operational zones that yield interesting acoustic tones. Results include a demonstration of the probe, preliminary analysis of acoustic and high speed chemiluminescence data, and high speed chemiluminescence imaging. The novelty of this paper is the deployment of a new test platform that incorporates full-scale engine hardware and provides the ability to directly compare acoustic and heat release response in a high-temperature, high-pressure environment to determine the flame transfer functions. This work is a stepping-stone towards the development of an on-line flame transfer function measurement technique for production engines in the field.
了解热声不稳定性对燃气涡轮发动机的可靠运行至关重要。使这种理解复杂化的是,燃气轮机燃烧器的极端敏感性可能导致不同机群的不稳定特性不同。在现场发动机中监测火焰传递函数的能力将提供有价值的数据,以提高对这种理解,并帮助燃气轮机从研发到现场调试的可操作性。本文介绍了一种新的实验装置,用于分析全尺寸燃气轮机喷油器硬件在高压和高温下的性能。它的特点是液体冷却,光纤耦合探头,为高速化学发光测量的热释放区提供直接的光学通道。该探头的设计考虑到了现场应用。此外,燃烧室还包括一个声学传感器阵列和一个大的客观窗口,用于使用高速化学发光成像验证探针。这项工作通过实验证明了在发动机条件下的新设置,重点是产生有趣的声学音调的操作区域。结果包括探针的演示,声学和高速化学发光数据的初步分析,以及高速化学发光成像。本文的新颖之处在于部署了一个新的测试平台,该平台集成了全尺寸发动机硬件,并提供了在高温高压环境下直接比较声学和热释放响应的能力,以确定火焰传递函数。这项工作为开发用于生产发动机的在线火焰传递函数测量技术奠定了基础。
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引用次数: 0
Characterisation and Validation of an Optical Pressure Sensor for Combustion Monitoring at Low Frequency 用于低频燃烧监测的光学压力传感器的特性和验证
G. Nicchiotti, S. A. Page, Krzysztof Soliński, Lukas Andracher, Nina Paulitsch, F. Giuliani
This paper introduces a novel approach to monitor pressure dynamics in turbomachinery. This innovation is motivated by the need expressed by machine OEMs and end-users to detect and avoid combustion instabilities, as well as lean-blowout (LBO), in low emission combustion systems. Such situations are often characterised by a marked increase of pressure signals in low frequency range. The piezoelectric technology, conventionally used for pressure measurements, presents sensitivity and stability issues at high temperatures and low frequencies. Here a new paradigm for pressure sensing, based on optical interferometry, is characterised and validated. The interferometric sensing system is designed to provide a larger range of measurement frequencies with better performance, in the low frequency range (< 50Hz), while exposed to high temperatures. This unique feature allows the real-time observation of events, such as the specific behaviour of a low frequency flame dynamic, which is characteristic of an imminent LBO. This improved monitoring system will support an optimisation of the machine performance, leading to a safer, cleaner, more flexible and more cost-efficient operation for the end-user. The novel measurement system has been characterised under non-reactive and reactive conditions within the frame of a joint study between Meggitt SA, Combustion Bay One e.U. and FH Joanneum GmbH. The technology is first described, including the relevant hardware and software components of the measurement chain. The different experimental set-ups and conditions are also illustrated. The results of the test campaign and their subsequent analysis are then presented, supporting the expected advantages over piezoelectric technology. In conclusion, a possible strategy for the detection of LBO precursors based on low frequency data is proposed.
本文介绍了一种监测涡轮机械压力动态的新方法。这项创新的动机是机器oem和最终用户对检测和避免低排放燃烧系统中的燃烧不稳定性以及稀爆(LBO)的需求。这种情况的特点通常是在低频范围内压力信号显著增加。传统上用于压力测量的压电技术在高温和低频下存在灵敏度和稳定性问题。在这里,一种新的压力传感范例,基于光学干涉测量,是表征和验证。该干涉传感系统旨在提供更大范围的测量频率和更好的性能,在低频范围内(< 50Hz),同时暴露在高温下。这种独特的功能允许实时观察事件,例如低频火焰动态的特定行为,这是即将发生的杠杆收购的特征。这种改进的监控系统将支持机器性能的优化,从而为最终用户带来更安全、更清洁、更灵活和更具成本效益的操作。在Meggitt SA、Combustion Bay One e.U.和FH Joanneum GmbH的联合研究框架内,这种新型测量系统在非反应和反应条件下进行了表征。首先描述了该技术,包括测量链的相关硬件和软件组件。并说明了不同的实验装置和条件。测试活动的结果及其随后的分析,然后提出,支持预期的优势优于压电技术。综上所述,本文提出了一种基于低频数据的LBO前体检测策略。
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引用次数: 1
Intercooler Parametric Analysis for the IRA Engine Cycle Performance Augmentation 提高IRA发动机循环性能的中间冷却器参数分析
E. Alexiou, Z. Vlahostergios, C. Salpingidou, F. Donus, D. Misirlis, K. Yakinthos
Aiming in the direction of designing high efficiency aircraft engines, various concepts have been developed in recent years, among which is the concept of the intercooled and recuperative aero engine (IRA engine). This concept is based on the use of a system of heat exchangers (recuperator) mounted inside the hot-gas exhaust nozzle, as well as a system of heat exchangers (intercooler) mounted between the intermittent-pressure compressor (IPC) and the high-pressure compressor (HPC) compressor modules. Through the operation of the system of recuperator module, the heat from the exhaust gas, downstream the LP turbine of the aero engine is driven back to the combustion chamber. Thus, the preheated air enters the engine combustion chamber with increased enthalpy, providing higher combustion efficiency and consequently reduced thrust specific fuel consumption (TSFC) and low-level emissions. Additionally, by integrating the intercooler module between the compressor stages of the aero engine, the compressed air is cooled, leading to less required compression work to reach the compressor target pressure and significant improvements can be achieved in the overall engine efficiency and the specific fuel consumption hence, contributing to the reduction of CO2 and NOx emissions. The present work is focused on the optimization of the performance characteristics of an intercooler specifically designed for aero engine applications, working cooperatively with a novel design recuperator module targeting the reduction of specific fuel consumption and taking into consideration aero engine geometrical constraints and limitations for two separate operating scenarios. The intercooler design was based on the elliptically profiled tubular heat exchanger which was developed and invented by MTU Aero Engines AG. For the specific fuel consumption investigations, the Intercooled Recuperated Aero engine cycle that combines both intercooling and recuperation was considered. The optimization was performed with the development of an intercooler surrogate model, capable to incorporate major geometrical features. A large number of intercooler design scenarios was assessed, in which additional design criteria and constraints were applied. Thus, a significantly large intercooler design space was covered resulting to the identification of feasible designs providing beneficial effect on the Intercooled Recuperated Aero engine performance leading to reduced specific fuel consumption, reduced weight and extended aircraft range.
针对设计高效航空发动机的方向,近年来发展了各种概念,其中有中冷回热式航空发动机(IRA)的概念。这个概念是基于安装在热排气喷嘴内的热交换器(回热器)系统,以及安装在间歇压力压缩机(IPC)和高压压缩机(HPC)压缩机模块之间的热交换器(中冷器)系统的使用。通过回热器模块系统的运行,将航空发动机下游低压涡轮排出的废气中的热量驱回燃烧室。因此,预热空气以更高的焓进入发动机燃烧室,提供更高的燃烧效率,从而降低推力比油耗(TSFC)和低排放。此外,通过在航空发动机的压气机级之间集成中冷器模块,压缩空气得到冷却,从而减少了达到压气机目标压力所需的压缩工作,从而显著提高了发动机的整体效率和油耗,从而有助于减少二氧化碳和氮氧化物的排放。目前的工作重点是优化专为航空发动机应用而设计的中冷器的性能特征,与旨在降低特定燃料消耗的新型设计缓冲器模块协同工作,并考虑到航空发动机的几何约束和两种不同操作场景的限制。中间冷却器的设计是基于MTU航空发动机公司开发和发明的椭圆管式换热器。在具体的燃油消耗研究中,考虑了中冷和回热相结合的中冷回热航空发动机循环。通过开发能够包含主要几何特征的中间冷却器代理模型,进行了优化。评估了大量的中间冷却器设计方案,其中应用了额外的设计标准和约束。因此,一个非常大的中冷设计空间被覆盖,从而确定了可行的设计,为中冷再生航空发动机的性能提供了有利的影响,从而降低了比燃料消耗,减轻了重量,延长了飞机的航程。
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引用次数: 0
期刊
Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power
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