Characterisation of turbine behaviour for an engine overspeed prediction model

Pawsey, Lucas; Rajendran, David John; Pachidis, Vassilios

doi:10.1016/j.ast.2017.11.037

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…These are usually housed in the internal gearbox. If the shaft is severed behind the location of these probes, they can only read the falling speed of the compressor end of the spool, and the engine control has no notion that the turbine is running overspeed (Onsite Energy, 2013) (Pawsey, et al, 2018). On the other hand, control system failures can be arrested by the activation of over-speed protection devices that shut down the fuel flow when the speed probes read values over a prescribed threshold.…”

Section: 1mentioning

confidence: 99%

“…It can still be said that running overspeed does have an effect on other components of the rotor assembly, potentially exposing component stresses close to their yield strength. Therefore, it is advisable that stress analyses of components should be conducted to determine the status of components following an overspeed event, to determine whether there is an increased probability of failure (Chacartegui, et al, 2011) (HSE, 2006) (Perera, et al, 2015) (Pawsey, et al, 2018) (RMRI Plc., 2009). The failures outlined thus far are all related to the mechanical side of the gas turbine operations.…”

Section: 1mentioning

confidence: 99%

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Applying a Bayesian Network Methodology to an Offshore gas Turbine Driven Power Generator to Demonstrate the Cause and Effect Relationship of the Turbine Running Over-speed and the Associated Switchboard Failures

Loughney¹,

Wang²,

Matellini³

2019

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

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This paper investigates the benefits of applying a Bayesian Network in quantitative risk assessment of the integrity of an offshore gas turbine driven generator. The focus of the research is based on the potential failures and incidents associated with an offshore gas turbine running overspeed and failures within the switchboard. The potential consequences that follow said failures, such as fire, explosion and damage to mechanical equipment are also factored into the analysis. A methodology is outlined in order to construct a coherent BN model. This methodology consists of several steps, starting with identifying variables, to then constructing a qualitative BN model from these variables. The methodology culminates in validation of the BN model. A case study, regarding individual and combined component failures is also applied to demonstrate and validate the methodology. The Bayesian network allows the cause-effect relationships to be modelled through clear graphical representation. Similarly, the model can accommodate for continual updating of failure data. Partial validity of the model is demonstrated against some benchmark axioms. It is vital to maintain that the model must remain practical and close to reality from the perspective of gathering data and generating results.

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Section: 1mentioning

confidence: 99%

Section: 1mentioning

confidence: 99%

Applying a Bayesian Network Methodology to an Offshore gas Turbine Driven Power Generator to Demonstrate the Cause and Effect Relationship of the Turbine Running Over-speed and the Associated Switchboard Failures

Loughney¹,

Wang²,

Matellini³

2019

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

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“…For this reason, the performance is penalized as a function of rotor dislocation and rotor speed. The performance penalty is applied as a scaling factor during the analysis with the magnitude of the factor coming from a parallel activity aimed at characterizing the turbine as a function of axial displacement (20)(21)(22) . This work was aimed at providing full overspeed characteristics of a high-pressure turbine during an unlocated shaft failure, and was based on steady CFD.…”

Section: Turbine Performance Modelmentioning

confidence: 99%

Multidisciplinary methodology for turbine overspeed analysis

2018

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In this paper, an integrated approach to turbine overspeed analysis is presented, taking into account the secondary air system dynamics and mechanical friction in a turbine assembly following an unlocated high-pressure shaft failure. The axial load acting on the rotating turbine assembly is a governing parameter in terms of overspeed protection since it governs the level of mechanical friction which acts against the turbine acceleration due to gas torque. The axial load is dependent on both the force coming from secondary air system cavities surrounding the disc and the force on the rotor blades. It is highly affected by secondary air system dynamics because rotor movement modifies the geometry of seals and flow paths within the network. As a result, the primary parameters of interest in this study are the axial load on the turbine rotor, the friction torque between rotating and static structures and the axial position of the rotor.Following an initial review of potential damage scenarios, several cases are run to establish the effect of each damage scenario and variable parameter within the model, with comparisons being made to a baseline case in which no interactions are modelled. This allows important aspects of the secondary air system to be identified in terms of overspeed prevention, as well as guidelines on design changes in current and future networks that will be beneficial for overspeed prevention.

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“…Zhang et al simulated the engine performance after the shaft break under the most conservative conditions, which assumed the total enthalpy of high-pressure compressor outlet airflow before the shaft break as the airflow steady state parameter for a short time period after the shaft break [11]. Pawsey et al investigated the characterization of the turbine over-speed behavior to be integrated into an engine over-speed model capable of predicting the terminal speed of the HPT in the event of a high-pressure shaft failure [12]. Tang and Tong established a transient model based on the volumetric method and investigated the real-time validity of the calculation of the engine model, which lacks the study of the strong transient process under the shaft failure scenario [13].…”

Section: Introductionmentioning

confidence: 99%

LPT rotor speed after low-pressure shaft failure

Meng,

Wang,

et al. 2024

J. Phys.: Conf. Ser.

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When designing engine safety and compliance with airworthiness regulations, it is important to determine the variation of rotor rotational speed and other parameters of aero-engine under shaft failure scenarios. In this paper, a transient process simulation model is established using the component method for a high bypass ratio two-shaft direct-drive turbofan engine. It helps analyze the response of engine rotor speed and key temperature parameters after the failure of the low-pressure shaft, the influence of the fuel supply, low-pressure turbine efficiency, and rotor resistance torque on the response of the parameters. The results demonstrate that the sudden increase of the low-pressure shaft speed at the turbine end after the failure of the low-pressure shaft is the most important factor affecting the engine safety design. The fuel supply, LPT efficiency, and resistance torque have significant effects on this sudden increase in speed.

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Characterisation of turbine behaviour for an engine overspeed prediction model

Cited by 8 publications

References 4 publications

Applying a Bayesian Network Methodology to an Offshore gas Turbine Driven Power Generator to Demonstrate the Cause and Effect Relationship of the Turbine Running Over-speed and the Associated Switchboard Failures

Applying a Bayesian Network Methodology to an Offshore gas Turbine Driven Power Generator to Demonstrate the Cause and Effect Relationship of the Turbine Running Over-speed and the Associated Switchboard Failures

Multidisciplinary methodology for turbine overspeed analysis

LPT rotor speed after low-pressure shaft failure

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