Siemens Energy, Inc.

Siemens Aktiengesellschaft

Chirag B Patel

Kai Kadau

Christopher W Ross

Himanshu Bhatnagar

Damien G Teehan

Yan Yin

Christian Amann

Cristina C Popescu

John T Fetherolf, Jr

Ashok Reddy Gitta

Thomas Koeppe

A method of modulating a cooling supply in a gas turbine engine includes providing the engine comprising a compressor section and a turbine section and including a cooling flow circuit, the cooling flow circuit supplying a cooling air flow from a compressor cavity in the compressor section to a blade ring cavity in the turbine section, wherein the cooling flow circuit includes a main line with a full capacity valve, measuring a first pressure in the blade ring cavity, measuring a second pressure in the compressor cavity, adjusting, by a control system, the opening of the full capacity valve to control the cooling air flow through the main line in order to maintain a target pressure ratio, wherein the pressure ratio defined as a ratio of the first pressure to the second pressure. The method is performed in an ambient temperature operating range of the engine.

Method for modulating a turbine cooling supply for gas turbine applications

A method for analyzing a three-dimensional stress concentrating feature of a component (), such as a borehole (), using a two-dimensional probabilistic technique. A circumferentially-dependent stress concentration profile around the stress concentrating feature is determined, and then a probability of failure of the component is calculated using a 2D probabilistic failure analysis of the stress concentration profile. The probabilistic failure analysis may include a Monte Carlo theta integration approach.

Method for analysis of 3D features using a 2D probabilistic analysis

A method for operating a machine component under stress. The method comprises determining a probability of failure PoF(N) of the component as a function of N cycles, selecting a time-based acceptable risk limit for the component and selecting an operational profile for the component, converting the time-based acceptable risk limit to a cycle-based acceptable risk limit using the operational profile, comparing the cycle-based acceptable risk limit with the PoF(N) values to determine an operational status of the component, comparing the cycle-based acceptable risk limit with the PoF(N) values, and operating the machine component responsive to results of the comparing step.

Scheduling inspections and predicting end-of-life for machine components

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Charlotte, NC, United States of America

Chirag B Patel