US 12,346,086 B2Granted

Reduction of friction within a machine tool

AssigneeSiemens Aktiengesellschaft

InventorsStephen Yutkowitz, Daniel Hein, Steffen Udluft

Life of this patent

Estimating the term…

Loading patent…

Abstract

A computer-implemented method for reducing friction within a machine tool is provided, including: a) reading a plurality of surrogate models for approximating friction compensation within a given machine tool, b) reading a friction compensation parameter set, c) determining a friction compensation result value for each surrogate model using the compensation parameter set, d) determining a weighted average friction compensation value of the friction compensation result values using the respective weighting factor, e) deducing a quality indicator for the friction compensation parameter set based on the weighted average friction compensation value, f) outputting the friction compensation parameter set, if the quality indicator fulfils a given quality criterion, or repeating b) to e) until the quality indicator fulfills the given quality criterion, g) applying the outputted friction compensation parameter set to the machine tool for reducing friction within the machine tool.

Claims12

Dependent claims

A computer-implemented method for reducing friction within a machine tool, comprising:

a) reading a plurality of surrogate models for approximating friction compensation within a given machine tool, wherein each surrogate model is configured such that it assigns a friction compensation result value to a given friction compensation parameter set for reducing friction within a machine tool, and wherein a weighting factor is assigned to each surrogate model, the weighting factor representing a goodness-of-fit of a surrogate model to a machine tool,
b) reading a friction compensation parameter set,
c) determining a friction compensation result value for each surrogate model using the compensation parameter set,
d) determining a weighted average friction compensation value of the friction compensation result values using the respective weighting factor of the respective surrogate model,
e) determining a quality indicator for the friction compensation parameter set based on the weighted average friction compensation value,
f) outputting the friction compensation parameter set, if the quality indicator fulfills a given quality criterion, or otherwise repeating b) to e) until the quality indicator fulfills the given quality criterion, and
g) applying the outputted friction compensation parameter set (Reps to the machine tool for reducing friction within the machine tool.

4 more elements

An apparatus for reducing friction within a machine tool, comprising:

a) an input unit configured to read a plurality of surrogate models for approximating friction compensation within a given machine tool, wherein each surrogate model is configured such that it assigns a friction compensation result value to a given friction compensation parameter set for reducing friction within a machine tool, and wherein a weighting factor is assigned to each surrogate model, the weighting factor representing a goodness-of-fit of a surrogate model to a machine tool,
b) an analysis unit configured to
read in a friction compensation parameter set,
determine a friction compensation result value for each surrogate model using the compensation parameter set,
determine a weighted average friction compensation value of the friction compensation result values using the respective weighting factor of the respective surrogate model,
and
determine a quality indicator for the friction compensation parameter set based on the weighted average friction compensation value,
c) an output unit configured to output the friction compensation parameter set, if the quality indicator fulfills a given quality criterion, or otherwise to repeat the aforementioned steps,
and
d) an application unit configured to apply the outputted friction compensation parameter set to the machine tool for reducing friction within the machine tool.

7 more elements

Dependencies are inferred from the claim text.