Statistical Control of Root Dimensions of Gas Turbine Blade in Creep Feed Grinding Process

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Abstract

In this project creep feed grinding process of gas turbine blade root is investigated with the aim of consistant and controlable production. Inthispaper, effectiveness of creep feed grinding process prometers suchas wheel speed, workpiece speed, grind depth and dresser speed are investigated. This investigation include their interaction on thelob of gas torbine blade root, as amajor cause of a erosion of grinding dresser, using designof experiment (DOE). Before conducting the experiments, the creep feed grinding machine was checked in order to verify the repeatability and performance assurance of the machine, using Statistical Process Control (SPC). After conducting the experiments, a mathematic model for predicting torbine blade lobe was developed using experiment results and various analyses are analyzed by variance analysis and predicted mathematic model of lobe of turbine blade is obtained and by using thise model and amount of desirable lobe of blade, input parameters for optimum production are achieved. It is found that increasing of wheel speed, workpiece speed, grinding depth and slower dresser speed, have advantages for obtaining smaller lobe of blade within tolerance.