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MAX stand
Background
Benchmark ID
  • maxStandSA1_n25872m10q10
  • maxStandSA2_n39527m30q30
  • maxStandSA3_n13551m6q6
  • maxStandSA4_n4813m23q23
Category

CRC-TR-96

System-Class

AP-LTI-FOS

Parameters
nstates
  • 25872
  • 39527
  • 13551
  • 4813
ninputs
  • 10
  • 30
  • 6
  • 23
noutputs
  • 10
  • 30
  • 6
  • 23
nparameters
  • 2
  • 1
  • 1
  • 1
components

A, B, C, E

Copyright
License

Creative Commons Attribution 4.0 International

Creator
  • CRC/TR 96:
  • Chair of Machine Tools Development and Adaptive Controls (Technische Universität Dresden),
  • Mathematics in Industry and Technology (Technische Universität Chemnitz)
Editor

Julia Vettermann

Location

https://zenodo.org/records/10039696



1 Motivation

Due to the increasing interest in manufacturing accuracy without an additional energy demand for cooling, knowledge about the thermo-elastic behavior of entire machine tools becomes crucial. Methods to correct the thermally induced position error between the tool-center-point (TCP) and the workpiece in real-time are needed. Therefore, reduced-order models that enable a fast simulation of entire machine tools are applied in the design and production process.

2 Description

Figure 1: Subassemblies of the MAX stand.

The MAX stand benchmark is a linear thermal model of a stand of the demonstrator machine tool MAX. Due to its lightweight construction based on aluminium structures, low heat capacities and high thermal coefficients of expansion are to be expected [1]. It is divided into four stationary subassemblies (SA): base, z-stand with guide rail and bottom plate, motor with belt housing, bearing seat and outer bearing ring as well as ball screw (spindle with inner bearing ring), see Fig. 1. The thermal finite element (FE) model was generated in ANSYS and afterwards the FE system matrices were exported for post-processing, such as MOR, to MATLAB. The interaction between the subassemblies is modeled by contact boundary conditions. The evolution of the temperature field is modeled with the heat equation


\begin{align}
 c_p\rho\frac{\partial T}{\partial t}&=\lambda \Delta T, & &\text{ on } \Omega_k , \text{ } k=1,\dots,4, \\
 \lambda\frac{\partial T}{\partial n}&=f, & &\text{ on } \Gamma_{c_k} \subset\partial\Omega_k , \text{ } k=1,\dots,4, \\
 \lambda\frac{\partial T}{\partial n}&=\alpha_{ext}(T_{ext}-T), & &\text{ on } \Gamma_{ext_k} \subset\partial\Omega_k  , \text{ } k=1,\dots,4, \\
 T(0)&=T_0, & &\text{ at } t=0
\end{align}

with


\begin{align}
f=q_{fric}+\kappa_c(T_{c_i}-T_{c_k}), \quad i,k=1,\dots,4, \quad i\neq k,
\end{align}

and

 k - number of the subassembly,  k=1,\dots, 4
 T - temperature
 c_p - specific heat capacity
 \rho - density
 \lambda - heat conductivity
 \Omega_k - domain of the k-th subassembly
 \Gamma_{c_k} - contact boundary of the k-th subassembly (partly time varying, moves with the position of the z-slide (considered as heat flow))
 \kappa_{ext} - heat transfer coefficient between a subassembly and the ambient air
 T_{ext} - external temperature
 \Gamma_{ext_k} - contact boundary with the ambience
 q_{fric} - friction driven heat flow induced by the movement
 \kappa_c - heat transfer coefficient between two subassemblies
 T_{c_k} - temperature of the contact area of subassembly k.

The finite element discretization of the heat conduction models leads to the four systems


\begin{align}
 E_k\dot{T}_k&=(A_k-\sum_{i=1}^{l_k}\kappa_{ext_i}(t)A^i_k)T_k+B_k u_k(t),\quad k=1,\dots,4\\
 y_k(t)&=C_k T_k,\\
\end{align}

with

 E_k \in \mathbb{R}^{n\times n} - FE mass matrix
 A_k \in \mathbb{R}^{n\times n} - basic stiffness matrix (discrete Laplacian)
 l_k \in \mathbb{R} - number of boundary conditions with the ambience (Robin boundary conditions (RBC))
 A^i_k \in \mathbb{R}^{n\times n} - boundary mass matrix (part of stiffness matrix arising from RBC)
 T_k \in \mathbb{R}^n - state vector (discrete temperature)
 B_k \in \mathbb{R}^{n \times m} - input map
 u_k \in \mathbb{R}^m - input vector
 y_k \in \mathbb{R}^p - output vector
 C_k \in \mathbb{R}^{p \times n} - output map.

The movement of the z-slide is considered as position-dependent heat flows in the input  u(t) . The position of the z-slide in the MAX stand model is characterized by the position  d \in [0, 0.7571]\text{ }m of the z-slide on the spindle and the guide rail. To include this variability in the model the boundaries of the subassemblies are divided into smaller parts and the average temperature of these parts is used for computing the input  u(t) . To be more precise, the spindle and the guide rail are divided into 20 segments each. The segments are numbered from top to bottom, i.e. for the position d=0 the z-slide is in contact with segment 1 of the spindle and the guide rail. In the simulation the calculated average temperature of an area in the current time step serves as input temperature of this area in the next time step and is also used for calculating the thermally dependent heat transfer coefficients. Thus the average temperatures of all contact areas are needed as outputs  y(t) . Further, the temperatures in certain nodes of interest complete the output  y(t) . For more information concerning MOR for systems with moving loads see e.g. [2] and the references therein.

3 Data

The system matrices (heat transfer coefficients with the ambience may be varied) and files for a simulation of the model in time domain can be downloaded from Zenodo. There is a set of matrices for each subassembly. The numbering of the subassemblies is shown in Fig. 1. Further the archive contains a MATLAB file with the description and computation of the contacts between the subassemblies and a file for the simulation of a work process. The overall system dimension is  n=83\,763 with

Subassembly k n_k m_k p_k
1 25\,872 10 10
2 39\,527 30 30
3 13\,551 6 6
4 4\,813 23 23

4 Remarks

  • This is a model with diagonal matrix E.
  • The model was also used for numerical experiments presented in [3].
  • For the simulation the system was shifted by the initial temperature T_0=20^{\circ}C to guarantee a zero inital value.

5 Origin

The MAX stand is used as a demonstrator in the CRC/TR 96 Project-ID 174223256 financed by the German Research Foundation DFG.

6 Citation

To cite this benchmark, use the following references:

  • For the benchmark itself and its data:
 @misc{dataCRCTR9623,
   author = {Collaborative Research Centre Transregio 96 (CRC/TR 96)},
   title = {Model of a machine tool stand},
   howpublished = {hosted at {MORwiki} -- Model Order Reduction Wiki},
   year = 2023,
   doi = {10.5281/zenodo.10039696}
 }

7 References

  1. K. Großmann, ed., "Thermo-energetic Design of Machine Tools", Springer International Publishing, Switzerland, pp. 9-10, 2015.
  2. N. Lang, J. Saak and P. Benner, "Model Order Reduction for Systems with Moving Loads", at-Automatisierungstechnik, pp. 512–522, 2014.
  3. P. Benner, D. Palitta and J. Saak, "On an integrated Krylov-ADI solver for large-scale Lyapunov equations", Numer Algor 92, pp. 35–63, 2023.

8 Contact

Jens Saak