Creep-Life Usage Analysis and Tracking for Industrial Gas Turbines

Saturday, Ebigenibo Genuine; Li, Yi-Guang; Ogiriki, E. A.; Newby, Mike

doi:10.2514/1.b35912

Cited by 13 publications

(18 citation statements)

References 18 publications

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“…The lowest equivalent creep-fatigue factor, 1.03 was recorded in July, a bit safe operation. This is the month with highest ambient temperatures and lowest creep factor values as in [1]. The overall equivalent creep-fatigue factor for the entire period of engine operation is 1.5.…”

Section: Resultsmentioning

confidence: 95%

“…The creep life is estimated by developing blade stress and thermal models and each blade is divided to several sections. Details of how the creep life could be estimated could be found in [1]. The life fraction consumed due to creep is,…”

Section: Creep Life Modelmentioning

confidence: 99%

“…It has PYTHIA at centre with creep life analysis and fatigue life analysis sub-systems providing inputs to the creep-fatigue interaction life analysis system. Details of the creep life analysis procedure could be found in [1] while fatigue life analysis procedure and system is presented in [4]. An engine model which behaves like the real engine in the field is created in PYTHIA for the life analysis as in [1].…”

Section: Integrated Creep-fatigue Interaction Life Analysis Systemmentioning

confidence: 99%

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Creep-Fatigue Interaction Life Consumption of Industrial Gas Turbine Blades

Saturday¹,

Isaiah²

2018

MME

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This paper presents the creep-fatigue interaction life consumption of industrial gas turbine blades using the LM2500+ engine operated at Pulrose Power station, Isle of Mann as a case study. The linear damage summation approach where creep damage and fatigue damage are combined was used for the creep-fatigue interaction life consumption of the target blades. The creep damage was modelled with the Larson-Miller parameter method while fatigue damage was assessed with the modified universal slopes method and the damage due to creep-fatigue interaction was obtained from the respective life fractions. Because of the difficulty in predicting the life of engine components accurately, relative life consumption analysis was carried out in the work using the concept of creep-fatigue interaction factor which is the ratio of the creep-fatigue interaction life obtained from any condition of engine operation to a reference creep-fatigue interaction life. The developed creep-fatigue interaction life consumption analysis procedure was applied to 8 most of real engine operation. It was observed that the contribution of creep to creep-fatigue interaction life consumption is greater than that of fatigue at all ambient temperatures. The fatigue contribution is greater at lower ambient temperatures as against higher ambient temperatures. For the case study, the overall equivalent creep-fatigue factor obtained was 1.5 which indicates safe engine operation compared to the reference condition. The developed life analysis algorithm could be applied to other engines and could serve as useful tool in engine life monitoring by engine operators.

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Section: Resultsmentioning

confidence: 95%

Section: Creep Life Modelmentioning

confidence: 99%

Section: Integrated Creep-fatigue Interaction Life Analysis Systemmentioning

confidence: 99%

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Creep-Fatigue Interaction Life Consumption of Industrial Gas Turbine Blades

Saturday¹,

Isaiah²

2018

MME

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“…Design point performance calculations which usually involves estimating the overall plant efficiency and the air flow rate required to obtain the design power can be easily carried out. The design point of gas turbine specified by engine manufacturers is usually at sea level, ambient temperature and pressure of 15•C and 1 atmosphere respectively and relative humidity of 60 % [1]. In practice, the gas turbine engine operates outside its design conditions (off-design point) occasioned most frequently by the ambient conditions.…”

Section: Introductionmentioning

confidence: 99%

Off-design performance analysis of gas turbines

Saturday¹,

Nweke²

2020

Global J. Eng. Tech. Adv.

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This work deals with the off-design performance analysis of gas turbines. Two gas turbine power stations in Rivers state, Nigeria were used as case studies. Ambient temperature-induced off-design calculations were carried out. This is because no gas turbine operates at its design point in the field and ambient temperature is one of the parameters that changes more frequently in gas turbine operation. Off-design performance models were developed to estimate the power output, thermal efficiency and the exhaust gas temperature at different ambient temperature values. Input data were obtained from the two gas turbine operations and engine adaptation results from previous researches. The power output and the thermal efficiency drops with increase in ambient temperature while the exhaust gas temperature increases with increase in ambient temperature. On the average, power output drops by 1.13 MW when ambient temperature increases by 10 •C for the first gas turbine power plant and the value obtained for the second gas turbine power plant which is smaller is 0.473 showing that the power drop is dependent on the power output of the plant. For the same range of ambient temperature increase, thermal efficiency drops by 0.637 % and 0.583 % respectively for the two power plants. Larger drop in power output as well as thermal efficiency occurs at the lower temperature values. The exhaust gas temperature increases with ambient temperature almost uniformly with average value of 1.29 K and 1.21 K respectively for 1•C increase in ambient temperature. The simulated results closely matched the results obtained from the field at different ambient temperatures. The results of this work will guide power plant operators in economic analysis by estimating the power output beforehand.

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“…θ is the blade stagger angle and it may vary from the blade tip to the root. The bending moment stresses at the base of each section and at the three locations are used together with the centrifugal stresses (details in [19]) to obtain the total stress and then the maximum stress at the base of each section of the blade used for the blade life calculation.…”

Section: Blade Stress Modelmentioning

confidence: 99%

Effects of Ambient Temperature and Shaft Power Variations on Creep Life Consumption of Industrial Gas Turbine Blades

Saturday¹,

Isaiah²

2018

EPE

Self Cite

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The effects of ambient temperature and shaft power variations on creep life consumption of compressor turbine blades of LM2500+ industrial gas turbine engine are investigated in this work. An engine model was created in PYTHIA (Cranfield University's gas turbine software) for the analysis. Blade thermal and stress models were developed and used together with Larson-Miller Parameter method for life analysis. Mean life reduction index, which is the propensity of a given effect to reduce engine life by half, is developed for each effect and applied in this research to compare the impacts of the different effects on the blade creep life. It was observed that blade life will be halved when ambient temperature is increased by 8.11 units while 13.64% increase in shaft power reduces blade life by a factor of 2. The results of this work will guide engine operators in making decisions concerning operating at part loads.

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Creep-Life Usage Analysis and Tracking for Industrial Gas Turbines

Cited by 13 publications

References 18 publications

Creep-Fatigue Interaction Life Consumption of Industrial Gas Turbine Blades

Creep-Fatigue Interaction Life Consumption of Industrial Gas Turbine Blades

Off-design performance analysis of gas turbines

Effects of Ambient Temperature and Shaft Power Variations on Creep Life Consumption of Industrial Gas Turbine Blades

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