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Determining the influence and correlation for parameters of flexible forming using the random forest method
ID
Sevšek, Luka
(
Author
),
ID
Šegota, Sandi Baressi
(
Author
),
ID
Car, Zlatan
(
Author
),
ID
Pepelnjak, Tomaž
(
Author
)
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MD5: 3167CEDA245677307A5E6F53B49292FC
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https://www.sciencedirect.com/science/article/pii/S156849462300515X
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Abstract
Single-point incremental forming (SPIF) enables the forming of fix-clamped sheet metal by moving a relatively small geometrically simple tool along the trajectory, producing the desired shape of the final product. Excessive thinning of the sheet results in fracture, determining the limit of formability. This characteristic of the forming process can be improved by upgrading the basic SPIF process to two-step forming, whereby a more even distribution of the sheet thickness can be achieved by pre-bulging with a hemispherical punch. This study focused on analysing the SPIF process and a hybrid two-step forming consisting of sequential bulging and SPIF. The analysis focused on the output parameters of sheet metal thinning and maximum forming force components and was conducted with Abaqus simulation software. An innovative new approach for influence analysis of technological, material and geometrical input parameters and correlation analysis between the mentioned parameters was performed using the random forest (RF) method, which allows the determination of individual parameter influence by analysing tree-shaped models obtained through the training process. The analysis results show a significant influence of the workpiece wall angle and part depth on thinning and initial sheet thickness on values of the forming force components. The results also show a great correlation between the parameters of the bulging depth and the part depth after SPIF and the significant influence of the appropriate choice of the backing plate geometry for the target product geometry.
Language:
English
Keywords:
incremental sheet metal forming
,
multi-step sheet forming
,
finite element method
,
random forest method
,
parameter influence analysis
,
parameter correlation analysis
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2023
Number of pages:
18 str.
Numbering:
Vol. 144, art. 110497
PID:
20.500.12556/RUL-152810
UDC:
621.7
ISSN on article:
1568-4946
DOI:
10.1016/j.asoc.2023.110497
COBISS.SI-ID:
156012547
Publication date in RUL:
07.12.2023
Views:
744
Downloads:
54
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Record is a part of a journal
Title:
Applied soft computing
Publisher:
Elsevier
ISSN:
1568-4946
COBISS.SI-ID:
16080679
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
inkrementalno preoblikovanje pločevine
,
večstopenjsko preoblikovanje pločevine
,
metoda končnih elementov
,
metoda naključnega gozda
,
analiza vpliva parametrov
,
analiza korelacije parametrov
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0248
Name:
Inovativni izdelovalni sistemi in procesi
Funder:
ARRS - Slovenian Research Agency
Project number:
J2-2511
Name:
Prilagodljivo utrjevanje površin avstenitnih jekel s procesi kriogenega preoblikovanja
Funder:
EC - European Commission
Funding programme:
European Regional Development Fund
Project number:
KK.01.1.1.01.0009
Acronym:
DATACROSS
Funder:
Other - Other funder or multiple funders
Funding programme:
CEEPUS
Project number:
III - HR 0108
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