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A Preconditioner-Based Data-Driven Polynomial Expansion Method: Application to Compressor Blade With Leading Edge Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In engineering practice, the amount of measured data is often scarce and limited, posing a challenge in uncertainty quantification (UQ) and propagation. Data-driven polynomial chaos (DDPC) is an effective way to tackle ...
Exploratory Factor Analysis for Machining Error Data of Compressor Blades Based on Dimensionality-Reduced Statistical Analysis Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Various machining errors inevitably occur on aero-engine compressor blades, including leading-edge contour error, trailing-edge contour error, camber contour error, and more. The current complexity surrounding the numerous ...
Iterative Learning Method for Drilling Depth Optimization in Peck Deep-Hole Drilling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Due to the enclosed chip evacuation space in deep hole drilling process, chips are accumulated in drill flutes as drilling depth increases, resulting in the increase of drilling torque and lead to drill breakage. Peck ...
Time-Efficient Trochoidal Tool Path Generation for Milling Arbitrary Curved Slots
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Trochoidal (TR) tool paths have been a popular means in high-speed machining for slot cutting, owing to its unique way of cyclically advancing the tool to avoid the situation of a full tool engagement angle suffered by the ...