Dual Numbers Approach in Multiaxis Machines Error Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F14%3APU109205" target="_blank" >RIV/00216305:26210/14:PU109205 - isvavai.cz</a>
Result on the web
<a href="http://www.hindawi.com/journals/jam/2014/261759/abs/" target="_blank" >http://www.hindawi.com/journals/jam/2014/261759/abs/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1155/2014/261759" target="_blank" >10.1155/2014/261759</a>
Alternative languages
Result language
angličtina
Original language name
Dual Numbers Approach in Multiaxis Machines Error Modeling
Original language description
Multiaxis machines error modeling is set in the context of modern differential geometry and linear algebra. We apply special classes of matrices over dual numbers and propose a generalization of such concept by means of general Weil algebras. We show that the classification of the geometric errors follows directly from the algebraic properties of the matrices over dual numbers and thus the calculus over the dual numbers is the proper tool for the methodology of multiaxis machines error modeling.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10101 - Pure mathematics
Result continuities
Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Applied Mathematics
ISSN
1110-757X
e-ISSN
1687-0042
Volume of the periodical
2014
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
1-6
UT code for WoS article
000337382200001
EID of the result in the Scopus database
2-s2.0-84903555050