Abstract: A gas turbine engine has a low pressure turbine driving a fan rotor through a gear reduction gearbox. The low pressure turbine has an input shaft driving a sun gear. The sun gear drives intermediate gears. There is an output shaft driven by one of a carrier and a ring gear in the gear reduction to in turn drive a fan drive shaft to drive the fan. A bearing compartment housing encloses the gear reduction gearbox. A fan shaft bearing supports the fan drive shaft. An oil supply system delivers oil to at least one of the sun gear, the intermediate gears and the ring gear. A scavenge system returns oil from the bearing compartment housing to a sump. An ejector pump communicates with a source of pressurized fluid to assist in driving oil from within the bearing compartment housing into a scavenge tube.

Abstract: A gas turbine engine has a low pressure turbine driving a fan rotor through a gear reduction gearbox. The low pressure turbine has an input shaft driving a sun gear. The sun gear drives intermediate gears. There is an output shaft driven by one of a carrier and a ring gear in the gear reduction to in turn drive a fan drive shaft to drive the fan. A bearing compartment housing encloses the gear reduction gearbox. A fan shaft bearing supports the fan drive shaft. An oil supply system delivers oil to at least one of the sun gear, the intermediate gears and the ring gear. A scavenge system returns oil from the bearing compartment housing to a sump. An ejector pump communicates with a source of pressurized fluid to assist in driving oil from within the bearing compartment housing into a scavenge tube.

Abstract: Provided are embodiments for a system for designing a layout for a smoke detection system, the system include a storage medium, the storage medium being coupled to a computing engine. The computing engine is configured to receive one or more inputs, model transport and dispersion of smoke in an environment based on the one or more inputs, wherein the model is based on a computational fluid dynamics (CFD) function, and detect the smoke using a plurality of probes. The computing engine is also configured to define a layout of the smoke detectors based on the smoke detectors being able to detect the smoke in the environment, and provide a map of the smoke detectors for the layout. Also provided are embodiments for a method to design a layout for a smoke detection system.

Abstract: Provided are embodiments including a system for operating an augmented reality model-based fire extinguisher training platform. The system includes a computation engine configured to receive one or more inputs and generate a simulation based on the one or more inputs, and a fire extinguisher configured to communicate with the computation engine, wherein the fire extinguisher includes a plurality of sensors to provide feedback to the computation engine. The system also includes a display device that is operably coupled to the computation engine and is configured to display the generated simulation from the computation engine, and wherein the computation engine is configured to perform analytics to generate a recommendation for a design of the fire extinguisher based at least in part on the feedback from fire extinguisher. Also provided are embodiments that include a method for operating an augmented reality model-based fire extinguisher training platform.

Abstract: Provided are embodiments for a system for validating a smoke detection layout, where the system includes a memory and a processor. The processor is configured to receive one or more inputs, model transport and dispersion of smoke to a smoke detector of an environment based on the one or more inputs, wherein the model is based on computational fluid dynamics (CFD) function, and select a subset of input parameters from the one or more inputs to test. The processor is also configured to test the smoke detection system layout using the selected subset of input parameters, determine an alarm time probability using uncertainty quantifications for the selected subset of input parameters, and provide the alarm time probability and confidence level for the selected subset parameters. Also provided are embodiments for a method to validate a smoke detection system layout.

Abstract: Provided are embodiments for a system for validating a smoke detection layout, where the system includes a memory and a processor. The processor is configured to receive one or more inputs, model transport and dispersion of smoke to a smoke detector of an environment based on the one or more inputs, wherein the model is based on computational fluid dynamics (CFD) function, and select a subset of input parameters from the one or more inputs to test. The processor is also configured to test the smoke detection system layout using the selected subset of input parameters, determine an alarm time probability using uncertainty quantifications for the selected subset of input parameters, and provide the alarm time probability and confidence level for the selected subset parameters. Also provided are embodiments for a method to validate a smoke detection system layout.

Abstract: Provided are embodiments for a system for designing a layout for a smoke detection system, the system include a storage medium, the storage medium being coupled to a computing engine. The computing engine is configured to receive one or more inputs, model transport and dispersion of smoke in an environment based on the one or more inputs, wherein the model is based on a computational fluid dynamics (CFD) function, and detect the smoke using a plurality of probes. The computing engine is also configured to define a layout of the smoke detectors based on the smoke detectors being able to detect the smoke in the environment, and provide a map of the smoke detectors for the layout. Also provided are embodiments for a method to design a layout for a smoke detection system.

Abstract: A method and system for determining fire suppression system characteristics is disclosed. The method includes receiving input information regarding one or more nozzles; receiving input information regarding a fire suppression agent; receiving input information regarding a room to be protected by the fire suppression system; iterating through a plurality of scenarios to determine fire suppression characteristics of each scenario; determining coverage of the room to be protected for each of the plurality of scenarios; and ranking each scenario of the plurality of scenarios based on the fire suppression characteristics.