Litcius/Paper detail

Improving dynamic process stability in milling of thin-walled workpieces by optimization of spindle speed based on a linear parameter-varying model

Semir Maslo, Bruno Sousa Menezes, Pascal Kienast, Philipp Ganser, Thomas Bergs

2020Procedia CIRP20 citationsDOIOpen Access PDF

Abstract

In milling of thin-walled workpieces, like aero engine blades, the reduction of vibrations is of central importance to reach a more economical and reliable process as well as an improved workpiece surface quality. However, the dynamic behavior of the workpiece continuously varies due to changes in workpiece stiffness and mass, caused by the moving position of the excitation force as well as the material removal. In this paper, the simulation of the changing workpiece dynamics for a simplified blade geometry using FE-modal analysis is demonstrated. All extracted workpiece dynamic states are combined in a reduced LPV-model (Linear Parameter-Varying model). The LPV-model is able to describe the varying process dynamic behavior and makes the selection of advantageous spindle speeds possible.

Topics & Concepts

VibrationProcess (computing)Reduction (mathematics)StiffnessMechanical engineeringModalPosition (finance)Stability (learning theory)EngineeringModal analysisMachine toolMaterials scienceControl theory (sociology)Structural engineeringFinite element methodComputer scienceAcousticsComposite materialPhysicsGeometryEconomicsMathematicsControl (management)Machine learningArtificial intelligenceOperating systemFinanceAdvanced machining processes and optimizationAdvanced Surface Polishing TechniquesAdvanced Machining and Optimization Techniques
Improving dynamic process stability in milling of thin-walled workpieces by optimization of spindle speed based on a linear parameter-varying model | Litcius