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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F45809895%3A_____%2F21%3AN0000002" target="_blank" >RIV/45809895:_____/21:N0000002 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21220/23:00355655

Výsledek na webu

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

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

Machine tool thermal errors are an important element in machined workpiece inaccuracies. In the past few decades, thermal errors have been successfully reduced by software compensation techniques such as multiple linear regression analysis, finite element method, neural network, transfer function (TF). A phenomenological approach based on TFs is used for thermal error modelling in this research. The approach respects basic heat transfer mechanisms in the MT structure, requires a minimum of additional gauges and enables an insight into the share of individual sources in the total machine thermal error. The aim of this paper is to investigate applicability of thermal error compensation model on large grinding machine within different configurations of headstock, tailstock and workpiece. Limits of a derived linear parametric model, its implementation into machine control system and model industrial use are discussed in more detail.

Název v anglickém jazyce

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

Popis výsledku anglicky

Machine tool thermal errors are an important element in machined workpiece inaccuracies. In the past few decades, thermal errors have been successfully reduced by software compensation techniques such as multiple linear regression analysis, finite element method, neural network, transfer function (TF). A phenomenological approach based on TFs is used for thermal error modelling in this research. The approach respects basic heat transfer mechanisms in the MT structure, requires a minimum of additional gauges and enables an insight into the share of individual sources in the total machine thermal error. The aim of this paper is to investigate applicability of thermal error compensation model on large grinding machine within different configurations of headstock, tailstock and workpiece. Limits of a derived linear parametric model, its implementation into machine control system and model industrial use are discussed in more detail.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20302 - Applied mechanics

Projekt

<a href="/cs/project/FV30223" target="_blank" >FV30223: Těžká bruska TOS Hostivař</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-3-031-34485-5

ISSN

2194-0525

e-ISSN

2194-0533

Počet stran výsledku

13

Strana od-do

54-66

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Dresden

Datum konání akce

21. 3. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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