Fast flexible multibody dynamic analysis of machine tools using modal state space models
Chang-Ju Kim, Jeong-Seok Oh, Chun-Hong Park, Changho Lee
Abstract
Digital twins of machine tools are widely used for the validation and optimization of part programs. However, implementing flexible body dynamics in digital twins is challenging due to low computational efficiency. This study presents a flexible multibody dynamic model of a machine tool using modal state space representation of a finite element model. Simulation using the model is twice as fast as actual machining, enabling vibration analysis of flexible body machines in parallel with the machining process. Experiments using a horizontal machine tool confirm that the model predicts residual vibration under various acceleration conditions with an average accuracy of 88%.
Topics & Concepts
Modal analysisMachine toolModalVibrationMachiningMultibody systemAccelerationFinite element methodProcess (computing)Representation (politics)Computer scienceState spaceState-space representationControl engineeringMechanical engineeringEngineeringStructural engineeringAlgorithmAcousticsMathematicsChemistryOperating systemPoliticsStatisticsPhysicsQuantum mechanicsPolitical scienceLawClassical mechanicsPolymer chemistryAdvanced machining processes and optimizationIterative Learning Control SystemsGear and Bearing Dynamics Analysis