Application of Krylov Reduction Technique for a Machine Tool Multibody Modelling

Quick calculation of machine tool dynamic response represents one of the major requirements for machine tool virtual modelling and virtual machining, aiming at simulating the machining process performance, quality, and precision of a workpiece. Enhanced time effectiveness in machine tool dynamic simulations may be achieved by employing model order reduction (MOR) techniques of the full finite element (FE) models. The paper provides a case study aimed at comparison of Krylov subspace base and mode truncation technique. Application of both of the reduction techniques for creating a machine tool multibody model is evaluated. The Krylov subspace reduction technique shows high quality in terms of both dynamic properties of the reduced multibody model and very low time demands at the same time.

[1]  J. Korvink,et al.  Compact electro-thermal model of semiconductor device with nonlinear convection coefficient , 2005, EuroSimE 2005. Proceedings of the 6th International Conference on Thermal, Mechanial and Multi-Physics Simulation and Experiments in Micro-Electronics and Micro-Systems, 2005..

[2]  Daniel J. Rixen,et al.  Efficient weakly coupled projection basis for the reduction of thermo-mechanical models , 2010, J. Comput. Appl. Math..

[3]  B. Irons Structural eigenvalue problems - elimination of unwanted variables , 1965 .

[4]  Zu-Qing Qu,et al.  Model Order Reduction Techniques , 2004 .

[5]  D. Sorensen,et al.  Approximation of large-scale dynamical systems: an overview , 2004 .

[6]  Zhaojun Bai,et al.  Towards an Optimal Substructuring Method for Model Reduction , 2004, PARA.

[7]  R. Maj,et al.  MECHATRONIC ANALYSIS OF MACHINE TOOLS , 2005 .

[8]  Lihong Feng,et al.  Model order reduction for scanning electrochemical microscope: the treatment of nonzero initial condition , 2004, Proceedings of IEEE Sensors, 2004..

[9]  F M.I. MODEL REDUCTION USING DYNAMIC AND ITERATED IRS TECHNIQUES , .

[10]  Michael Beitelschmidt,et al.  Comparison of model reduction techniques for large mechanical systems , 2008 .

[11]  Genki Yagawa,et al.  Component mode synthesis for large-scale structural eigenanalysis , 2001 .

[12]  R. S. Puri,et al.  Reduced order fully coupled structural–acoustic analysis via implicit moment matching , 2009 .

[13]  Louis B. Bushard,et al.  On the value of Guyan Reduction in dynamic thermal problems , 1981 .

[14]  Krylov Projection Methods for Rational Interpolation , 1997 .

[15]  Lawrence T. Pileggi,et al.  PRIMA: passive reduced-order interconnect macromodeling algorithm , 1997, ICCAD 1997.

[16]  Serkan Gugercin,et al.  Convergence of the Iterative Rational Krylov Algorithm , 2011, Syst. Control. Lett..

[17]  E. Rudnyi,et al.  Using the Superposition Property for Model Reduction of Linear Systems with a Large Number of Inputs , 2008 .

[18]  Z. Bai Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems , 2002 .

[19]  I. Elfadel,et al.  A block rational Arnoldi algorithm for multipoint passive model-order reduction of multiport RLC networks , 1997, ICCAD 1997.

[20]  J. Han Efficient frequency response and its direct sensitivity analyses for large-size finite element models using Krylov subspace-based model order reduction , 2012, Journal of Mechanical Science and Technology.

[21]  Jan G. Korvink,et al.  Efficient optimization of transient dynamic problems in MEMS devices using model order reduction , 2005 .

[22]  Guo Yanling Virtual Machining System for Space Ruled Surface Parts , 2004 .

[23]  Christian Brecher,et al.  Virtual machine tool , 2005 .

[24]  Peter Benner,et al.  Interpolatory Projection Methods for Parameterized Model Reduction , 2011, SIAM J. Sci. Comput..

[25]  Serkan Gugercin,et al.  H2 Model Reduction for Large-Scale Linear Dynamical Systems , 2008, SIAM J. Matrix Anal. Appl..

[26]  Stefano Zucca,et al.  Reduced-Order Models for the Calculation of Thermal Transients of Heat Conduction/Convection FE Models , 2007 .

[27]  R. Guyan Reduction of stiffness and mass matrices , 1965 .

[28]  H. Dag,et al.  Parallel implementation of iterative rational Krylov methods for model order reduction , 2009, 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control.

[29]  Yusuf Altintas,et al.  Analytical Prediction of Stability Lobes in Milling , 1995 .

[30]  Michael F. Zaeh,et al.  A New Method for Simulation of Machining Performance by Integrating Finite Element and Multi-body Simulation for Machine Tools , 2007 .

[31]  D. Rixen,et al.  General Framework for Dynamic Substructuring: History, Review and Classification of Techniques , 2008 .

[32]  Stefano Zucca,et al.  Component modes synthesis applied to a thermal transient analysis of a turbine disc , 2002 .

[33]  Zhaojun Bai,et al.  Arnoldi methods for structure-preserving dimension reduction of second-order dynamical systems , 2005 .

[34]  E. Zukowski,et al.  MODEL REDUCTION FOR THERMO-MECHANICAL SIMULATION OF PACKAGES , 2005 .

[35]  Eric James Grimme,et al.  Krylov Projection Methods for Model Reduction , 1997 .

[36]  Yusuf Altintas,et al.  Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design , 2000 .

[37]  C.A. Beattie,et al.  Inexact Solves in Krylov-based Model Reduction , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[38]  Athanasios C. Antoulas,et al.  Approximation of Large-Scale Dynamical Systems , 2005, Advances in Design and Control.

[39]  M. Sulitka,et al.  MACHINE TOOL VIRTUAL MODEL , .

[40]  Francisco J. Campa,et al.  An integrated process–machine approach for designing productive and lightweight milling machines , 2011 .

[41]  Wolfgang Witteveen,et al.  Comparison of CMS, Krylov and Balanced Truncation Based Model Reduction from a Mechanical Application Engineer’s Perspective , 2012 .

[42]  Timothy A. Davis,et al.  Direct methods for sparse linear systems , 2006, Fundamentals of algorithms.

[43]  Mikel Zatarain,et al.  Modular Synthesis of Machine Tools , 1998 .

[44]  Hendrik Van Brussel,et al.  Dynamic model reduction of a flexible three-axis milling machine , 1998 .

[45]  M. Bampton,et al.  Coupling of substructures for dynamic analyses. , 1968 .

[46]  T. Stykel Analysis and Numerical Solution of Generalized Lyapunov Equations , 2002 .

[47]  Pavel Barta,et al.  Krylov Model Order Reduction of a Thermal Subsea Model , 2013 .

[48]  A. Antoulas,et al.  H 2 Model Reduction for Large-scale Linear Dynamical Systems * , 2022 .

[49]  Yusuf Altintas,et al.  Multi frequency solution of chatter stability for low immersion milling , 2004 .