Simulation, design optimization and controller design of modern machine tools heavily rely on adequat numerical models. In order to achieve results in shorter computation times, reduced order models (ROMs) are applied in either of these tasks. Most modern simulation tools expect these ROMs to come in standard state space form. Structural models of the machine tool are however of second order type. In case piezo actuators are used in the device they are even differential algebraic equations (DAEs) of index one due to the coupling to the equations describing the electric potentials. This contribution is dedicated especially to those systems. We combine the ideas for balanced truncation model order reduction of large and sparse index 1 DAEs wi...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
Today in the scientific and technological world, physical and artificial processes are often describ...
Finite Element models of machine tools or their building blocks are usually very large and thus do n...
We present implicit index-reduction based model reduction for constrained mechanical systems.Present...
This edited monograph collects research contributions and addresses the advancement of efficient num...
Numerical simulations of the behavior of machine tools are usually based on a finite element (FE) di...
Recently, a parametric model order reduction scheme was developed that allows for low rank variabili...
Domain decomposition and model order reduction are both very important techniques for scientific and...
Large scale finite element models are routinely used in design and optimization for com-plex enginee...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
Model order reduction approaches aim at reducing the computational complexity of numericalmodels. Th...
Increasing complexity of mathematical models demands techniques of model order reduction (MOR) that ...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
Today in the scientific and technological world, physical and artificial processes are often describ...
Finite Element models of machine tools or their building blocks are usually very large and thus do n...
We present implicit index-reduction based model reduction for constrained mechanical systems.Present...
This edited monograph collects research contributions and addresses the advancement of efficient num...
Numerical simulations of the behavior of machine tools are usually based on a finite element (FE) di...
Recently, a parametric model order reduction scheme was developed that allows for low rank variabili...
Domain decomposition and model order reduction are both very important techniques for scientific and...
Large scale finite element models are routinely used in design and optimization for com-plex enginee...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
Model order reduction approaches aim at reducing the computational complexity of numericalmodels. Th...
Increasing complexity of mathematical models demands techniques of model order reduction (MOR) that ...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...