An Indicative Model Considering Part of the Thermo-Mechanical Behaviour of a Large Grinding Machine

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F23%3A00355655" target="_blank" >RIV/68407700:21220/23:00355655 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/978-3-031-34486-2_5" target="_blank" >https://doi.org/10.1007/978-3-031-34486-2_5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-34486-2_5" target="_blank" >10.1007/978-3-031-34486-2_5</a>

Result language

angličtina

Original language name

An Indicative Model Considering Part of the Thermo-Mechanical Behaviour of a Large Grinding Machine

Original language description

Machine tool (MT) thermal errors are an important element in ma-chined workpiece inaccuracies. In the past few decades, thermal errors associated mainly with one particular source (e.g. spindle or environment), have been successfully reduced by SW compensation techniques such as multiple linear re-gression analysis, finite element method, neural network, transfer function (TF) within similar calibration and verification conditions. An approach based on TFs is used for thermal error modelling in this research. This method respects basic heat transfer mechanisms in the MT and requires a minimum of additional gauges. The approach provides insight into the share of each source in the total machine thermal error through a combination of linear parametric models. The aim of this research is to develop an indicative model for a large grinding machine with predictive functionality focused on part of the thermo-mechanical behaviour within different configurations of the headstock, tailstock and workpiece. Unlike a compensation model, an indicative model has no connection to the MT feed drives and can only provide the machine operator with information regarding the actual direction and relative magnitude along with prediction of the time constant and steady state of the non-stationary thermal error. The second aim is to compare the difficulty of measuring at the stator and rotating machine part levels, the thermal behaviour linearity at both levels and the possibility of upgrading the indicative model to a compensation model to extend industrial applicability.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20302 - Applied mechanics

Project

<a href="/en/project/FV30223" target="_blank" >FV30223: Heavy Duty Grinder TOS Hostivař</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

3rd International Conference on Thermal Issues in Machine Tools (ICTIMT2023)

ISBN

978-3-031-34485-5

ISSN

2194-0525

e-ISSN

2194-0533

Number of pages

13

Pages from-to

54-66

Publisher name

Springer

Place of publication

Cham

Event location

Drážďany

Event date

Mar 21, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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