Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/30268
Title: | Evaluating influence degree of equal-channel angular pressing parameters based on finite element analysis and response surface methodology | Authors: | Ebrahimi, M. Pashmforoush, F. Göde, Ceren |
Keywords: | Die geometry Processing parameters Required pressing force Response surface methodology Strain behavior Aluminum alloys Finite element method Friction Grain size and shape Pressing (forming) Regression analysis Surface properties Strain behaviors Equal channel angular pressing |
Publisher: | Springer Verlag | Abstract: | The current paper presents a collection of numerical, mathematical, and statistical techniques to predict strain behavior and required pressing force of 7075 aluminum alloy within the different parameters of equal-channel angular pressing (ECAP). Accordingly, response surface methodology was utilized to estimate the contribution percentage of the processing parameters (i.e., die channel angle, outer corner angle, coefficient of friction, and punch rate) on effective plastic strain, standard deviation of effective strain, and required pressing force of the deformed sample; then, regression modeling relationships were presented for each of the three outputs. Also, a suitable coincidence was found between the predicted regression model, numerical approach, theoretical technique, and experimental work. It is found that the achieved results could be used as a successful guideline for evaluation of the ECAP process. © 2019, The Brazilian Society of Mechanical Sciences and Engineering. | URI: | https://hdl.handle.net/11499/30268 https://doi.org/10.1007/s40430-019-1597-y |
ISSN: | 1678-5878 |
Appears in Collections: | Denizli Teknik Bilimler Meslek Yüksekokulu Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
9
checked on Nov 23, 2024
WEB OF SCIENCETM
Citations
9
checked on Nov 21, 2024
Page view(s)
56
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.