Modeling of hot gas ingestion in a gas turbine engine is critical because its accuracy directly affects performance as well as turbine durability. In this paper, ASU ingestion test rig data accompanied by its published ingress/egress discharge coefficients (Cdi and Cde , formulation) are used to propose a simplified 1D ingestion model embedded in the secondary air system software (Network). The proposed externally induced ingress model includes separate boundary nodes with equal static pressure in the annulus hub, and distinct circumferential pressure variation in the form of normalized annulus pressure at the hub (P1 – P1avg)/(P1max – P1min). The corresponding Cdi and Cde for the engine conditions are scaled based on rig-to-engine non-dimensional minimum purge, Cwmin where engine Cwmin uses the actual (P1 – P1avg)/(P1max – P1min) derived from previously published CFD data along with the effective rim-seal overlap clearance. The vane pitch integrated driving pressure difference at the hub for the ingestion used in the orifice model comes from an embedded saw-tooth assumption on the circumferential pressure profile. Recirculation of ingested hot gas from the upper rim cavity to the lower wheel space is considered by comparing the supplied purge flow to the rotating disc entrainment requirement. The proposed model is compared with another model based on constant Cdi / Cde ratio of 0.14 published by the University of Bath. Engine test data from a previously published engine configuration is used to assess the appropriate model for engine. The probability of failure in violating the lower rim cavity sealing effectiveness limit based on analysis of variation (AOV) was conducted under both formulations and the results are presented.
Skip Nav Destination
ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition
June 26–30, 2017
Charlotte, North Carolina, USA
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
978-0-7918-5088-6
PROCEEDINGS PAPER
Simplified Ingestion Model Assessment for 1D Gas Turbine Engine Secondary Flow Network Available to Purchase
Ashish Negi,
Ashish Negi
Honeywell Technical Solutions, Bangalore, India
Search for other works by this author on:
A. V. Mirzamoghadam,
A. V. Mirzamoghadam
Honeywell International, Phoenix, AZ
Search for other works by this author on:
Sushilkumar Thamke,
Sushilkumar Thamke
Honeywell Technical Solutions, Bangalore, India
Search for other works by this author on:
Balakrishnan Thangavel
Balakrishnan Thangavel
Honeywell Technical Solutions, Bangalore, India
Search for other works by this author on:
Ashish Negi
Honeywell Technical Solutions, Bangalore, India
A. V. Mirzamoghadam
Honeywell International, Phoenix, AZ
Sushilkumar Thamke
Honeywell Technical Solutions, Bangalore, India
Balakrishnan Thangavel
Honeywell Technical Solutions, Bangalore, India
Paper No:
GT2017-64388, V05BT15A021; 9 pages
Published Online:
August 17, 2017
Citation
Negi, A, Mirzamoghadam, AV, Thamke, S, & Thangavel, B. "Simplified Ingestion Model Assessment for 1D Gas Turbine Engine Secondary Flow Network." Proceedings of the ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. Volume 5B: Heat Transfer. Charlotte, North Carolina, USA. June 26–30, 2017. V05BT15A021. ASME. https://doi.org/10.1115/GT2017-64388
Download citation file:
51
Views
Related Proceedings Papers
Related Articles
Prediction of Ingress Through Turbine Rim Seals—Part II: Combined Ingress
J. Turbomach (May,2012)
Use of Pressure Measurements to Determine Effectiveness of Turbine Rim Seals
J. Eng. Gas Turbines Power (March,2015)
Measurements and Modeling of Ingress in a New 1.5-Stage Turbine Research Facility
J. Eng. Gas Turbines Power (January,2017)
Related Chapters
Constructing Dynamic Event Trees from Markov Models (PSAM-0369)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Thermodynamic Performance
Closed-Cycle Gas Turbines: Operating Experience and Future Potential
Solution of Phased-Mission Benchmark Problem Using the SimPRA Dynamic PRA Methdology (PSAM-0345)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)