Abstract: A method for selectively removing an aluminide coating from at least one surface of a metal-based substrate by: (a) contacting the surface of the substrate with at least one stripping composition comprising nitric acid at a temperature less than about 20° C. to degrade the coating without damaging the substrate; and (b) removing the degraded coating without damaging the substrate. Also disclosed is a method for replacing a worn or damaged aluminide coating on at least one surface of a metal-based substrate by selectively removing the coating using the above steps, and then applying a new aluminide coating to the surface of the substrate. Turbine engine parts, such as high-pressure turbine blades, treated using the above methods are also disclosed.

Abstract: A method for selectively removing an aluminide coating from at least one surface of a metal-based substrate by: (a) contacting the surface of the substrate with at least one stripping composition comprising nitric acid at a temperature less than about 20° C. to degrade the coating without damaging the substrate; and (b) removing the degraded coating without damaging the substrate. Also disclosed is a method for replacing a worn or damaged aluminide coating on at least one surface of a metal-based substrate by selectively removing the coating using the above steps, and then applying a new aluminide coating to the surface of the substrate. Turbine engine parts, such as high-pressure turbine blades, treated using the above methods are also disclosed.

Abstract: A method for quality control monitoring of laser shock peening a surface of a production workpiece during which laser beam pulses form a plurality of corresponding plasmas. An acoustic signal of each laser beam pulse during a period of time during a duration of each corresponding one of the plasmas is monitored and an acoustic energy parameter value for each of the acoustic signals for each of the corresponding laser pulses is calculated. A statistical function value of the workpiece based on the acoustic energy parameter values is calculated and compared to a pass or fail criteria for accepting or rejecting the workpiece. The criteria may be based on a pre-determined correlation of test piece statistical function data such as high cycle fatigue failure data of test pieces. The statistical function value may be an average of the acoustic energy parameter values of the laser beam pulses.

Abstract: A method for quality control monitoring of laser shock peening a surface of a production workpiece during which laser beam pulses form a plurality of corresponding plasmas. An acoustic signal of each laser beam pulse during a period of time during a duration of each corresponding one of the plasmas is monitored and an acoustic energy parameter value for each of the acoustic signals for each of the corresponding laser pulses is calculated. A statistical function value of the workpiece based on the acoustic energy parameter values is calculated and compared to a pass or fail criteria for accepting or rejecting the workpiece. The criteria may be based on a pre-determined correlation of test piece statistical function data such as high cycle fatigue failure data of test pieces. The statistical function value may be an average of the acoustic energy parameter values of the laser beam pulses.