Supplemental Material to 'Estimation of Rolling Process Variation by Usage of a Monte-Carlo Method'

Contributing person
datacite.contributor.ProjectLeader

Schmidtchen, Matthias

Contributing person
datacite.contributor.ProjectLeader

Prahl, Ulrich

Contributing person
datacite.contributor.Researcher

Renzing, Christoph

Documentation of the data
datacite.description.TechnicalInfo

Resource Type: Workflow of variance estimation in groove rolling using Monte Carlo techniques

Type of the data
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Text

Type of the data
datacite.resourceTypeGeneral

Software

Type of the data
datacite.resourceTypeGeneral

Model

Type of the data
datacite.resourceTypeGeneral

Image

Type of the data
datacite.resourceTypeGeneral

Dataset

Total size of the dataset
datacite.size

73257670

Author
dc.contributor.author

Weiner, Max

Upload date
dc.date.accessioned

2022-12-13T13:15:29Z

Upload date
dc.date.accessioned

2026-06-05T13:13:25Z

Publication date
dc.date.available

2022-12-13T13:15:29Z

Publication date
dc.date.available

2026-06-05T13:13:25Z

Data of data creation
dc.date.created

2022

Publication date
dc.date.issued

2022-12-13

Abstract of the dataset
dc.description.abstract

This repository contains all necessary data to reproduce the results of *Estimation of Rolling Process Variation by Usage of a Monte-Carlo Method* published at ESAFORM2023. The contents consist of data files as well as code for analysis and simulation.

Public reference to this page
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/2542

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-195

dc.language
dc.language

eng

Publisher
dc.publisher

Technische Universität Bergakademie Freiberg

Licence
dc.rights

Attribution 4.0 International

URI of the licence text
dc.rights.uri

http://creativecommons.org/licenses/by/4.0/

Specification of the discipline(s)
dc.subject.classification

4

Title of the dataset
dc.title

Supplemental Material to 'Estimation of Rolling Process Variation by Usage of a Monte-Carlo Method'

Project title
opara.project.title

PyRolL

Files

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esaform2023_weiner.zip
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Attribution 4.0 International