Gm Global Technolgoy Operations, Inc.

General Electric Company

Deepika Sachdeva

Arun Kumar

Jon T Carter

Asim Tewari

Anshul Kaushik

Pulak Bandyopadhyay

Guangling Song

Venkatesh Rajagopalan

Mark Alan Rhoads

Andrew James Jenkins

Saratchandra Shanmukh

Raji Reddy

Chithra Parayalil

Kiran Deshpande

Shashank Tiwari

Sushil Kumar Mishra

Mohammad Kashfuddoja

A fan system of a turbine includes a fan mid shaft made of a coated steel material configured to extend along a center axis of a turbine. The fan mid shaft having an inner diameter surface. The fan system includes a dry film lubricant that is configured to be applied to at least a portion of the inner diameter surface of the fan mid shaft.

Turbine fan system and method

A method for determining a condition of a second component of an engine is disclosed wherein the engine includes at least a first component and the second component. The method includes determining a concentration value of a chemical species in an effluent obtained from washing at least a portion of the first component of the engine, inputting the concentration value of the chemical species in a condition assessment model to update the condition assessment model, and estimating the condition of the second component based on an output of the updated condition assessment model. The effluent used herein includes a wash fluid and the chemical species. The second component is different from the first component and the condition assessment model is a representative of a condition of the second component of the engine.

Methods for effluent based condition assessment

A method is disclosed for improving the corrosion behavior of cast magnesium alloy articles in which the magnesium alloy comprises an average composition of more than about 5 per cent by weight of aluminum. A microstructure with regions of varying aluminum content is developed during solidification. The microstructure comprises magnesium-rich grains generally surrounded by an aluminum-enriched phase on the boundaries between adjacent grains. The magnesium-rich grain interiors are then selectively chemically or electrochemically attacked to leave a more corrosion resistant aluminum-enriched surface on the articles. The corrosion resistance of the articles may be further enhanced by one or more of anodizing, aluminizing or painting the corrosion-resistant aluminum-enriched surface.

Surface treatment of magnesium alloy castings for corrosion protection

A method of enhancing the ductility of magnesium alloy sheets containing 85% or more by weight of magnesium is described. An annealed, substantially strain free, sheet of generally uniform grain size is locally deformed in local regions to develop strained 'islands' of a predetermined strain embedded in a substantially strain-free matrix and then annealed. The deformed regions undergo recrystallization and grain growth while the remainder of the sheet suffers only minor change in grain size, leading to sheet with grains having a bimodal size distribution. The ductility of alloys processed in this way is significantly greater than the ductility of the unprocessed, uniform grain size alloy without compromise to the tensile strength of the alloy.

Making ductility-enhanced magnesium alloy sheet materials

A system may be used to detect corrosion between a first metal and a second metal, where the second metal is positioned adjacent to the first metal. The system may include a processor electrically coupled to each of the first and the second metals and configured to monitor a complex impedance between the first metal and the second metal, where the complex impedance may include a real component and an imaginary component. The processor may compare the real component of the complex impedance to a first threshold, compare the imaginary component of the complex impedance to a second threshold, and indicate a likelihood of corrosion if at least one of the real and imaginary components are below their respective threshold.

System and method for detecting a likelihood of corrosion

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Bengaluru, India

Deepika Sachdeva