High-Velocity Compaction of Aluminum Powder by Gas Detonation Forming Technique
In this paper, a large-scale experimental study has been conducted in order to evaluate the high-velocity compaction of aluminum powder using Gas Detonation Forming (GDF) processing technique. In this series of experiments, the effect of the distribution of grain particle size, initial powder mass,...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Islamic Azad University-Isfahan (Khorasgan) Branch
2020-03-01
|
Series: | International Journal of Advanced Design and Manufacturing Technology |
Subjects: | |
Online Access: | https://admt.isfahan.iau.ir/article_672098_2aaca1239d289d1242f3d7ffd6e55f4f.pdf |
_version_ | 1797657359231746048 |
---|---|
author | Tohid Mirzababaie Mostofi Mostafa Sayah Badkhor Hashem Babaei |
author_facet | Tohid Mirzababaie Mostofi Mostafa Sayah Badkhor Hashem Babaei |
author_sort | Tohid Mirzababaie Mostofi |
collection | DOAJ |
description | In this paper, a large-scale experimental study has been conducted in order to evaluate the high-velocity compaction of aluminum powder using Gas Detonation Forming (GDF) processing technique. In this series of experiments, the effect of the distribution of grain particle size, initial powder mass, and loading conditions on green density and strength of compacted products were thoroughly studied. The maximum relative green density and green strength of 97.6% and 17.9% were achieved. Group Method of Data Handling (GMDH)-type neural network in conjunction with Singular Value Decomposition (SVD) method was exerted to model the high-velocity compaction process of aluminum powder. The main objective of this idea is to demonstrate how two characteristics of the high-velocity compaction, namely, the relative green density and strength of products vary with the changing of significant parameters, involved in GDF processing technique. |
first_indexed | 2024-03-11T17:43:21Z |
format | Article |
id | doaj.art-e77777dd09334ef095d106ce478cba52 |
institution | Directory Open Access Journal |
issn | 2252-0406 2383-4447 |
language | English |
last_indexed | 2024-03-11T17:43:21Z |
publishDate | 2020-03-01 |
publisher | Islamic Azad University-Isfahan (Khorasgan) Branch |
record_format | Article |
series | International Journal of Advanced Design and Manufacturing Technology |
spelling | doaj.art-e77777dd09334ef095d106ce478cba522023-10-18T08:59:28ZengIslamic Azad University-Isfahan (Khorasgan) BranchInternational Journal of Advanced Design and Manufacturing Technology2252-04062383-44472020-03-011311729672098High-Velocity Compaction of Aluminum Powder by Gas Detonation Forming TechniqueTohid Mirzababaie Mostofi0Mostafa Sayah Badkhor1Hashem Babaei2Faculty of Mechanical Engineering, University of Eyvanekey, Semnan, IranFaculty of Mechanical Engineering, University of Eyvanekey, Semnan, IranFaculty of Mechanical Engineering, University of Guilan, Rasht, IranIn this paper, a large-scale experimental study has been conducted in order to evaluate the high-velocity compaction of aluminum powder using Gas Detonation Forming (GDF) processing technique. In this series of experiments, the effect of the distribution of grain particle size, initial powder mass, and loading conditions on green density and strength of compacted products were thoroughly studied. The maximum relative green density and green strength of 97.6% and 17.9% were achieved. Group Method of Data Handling (GMDH)-type neural network in conjunction with Singular Value Decomposition (SVD) method was exerted to model the high-velocity compaction process of aluminum powder. The main objective of this idea is to demonstrate how two characteristics of the high-velocity compaction, namely, the relative green density and strength of products vary with the changing of significant parameters, involved in GDF processing technique.https://admt.isfahan.iau.ir/article_672098_2aaca1239d289d1242f3d7ffd6e55f4f.pdfaluminum powdergdfhigh-velocity compactionneural network |
spellingShingle | Tohid Mirzababaie Mostofi Mostafa Sayah Badkhor Hashem Babaei High-Velocity Compaction of Aluminum Powder by Gas Detonation Forming Technique International Journal of Advanced Design and Manufacturing Technology aluminum powder gdf high-velocity compaction neural network |
title | High-Velocity Compaction of Aluminum Powder by Gas Detonation Forming Technique |
title_full | High-Velocity Compaction of Aluminum Powder by Gas Detonation Forming Technique |
title_fullStr | High-Velocity Compaction of Aluminum Powder by Gas Detonation Forming Technique |
title_full_unstemmed | High-Velocity Compaction of Aluminum Powder by Gas Detonation Forming Technique |
title_short | High-Velocity Compaction of Aluminum Powder by Gas Detonation Forming Technique |
title_sort | high velocity compaction of aluminum powder by gas detonation forming technique |
topic | aluminum powder gdf high-velocity compaction neural network |
url | https://admt.isfahan.iau.ir/article_672098_2aaca1239d289d1242f3d7ffd6e55f4f.pdf |
work_keys_str_mv | AT tohidmirzababaiemostofi highvelocitycompactionofaluminumpowderbygasdetonationformingtechnique AT mostafasayahbadkhor highvelocitycompactionofaluminumpowderbygasdetonationformingtechnique AT hashembabaei highvelocitycompactionofaluminumpowderbygasdetonationformingtechnique |