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Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets

When using a unique tool with different controlled path strategies in the absence of a punch and die, the local plastic deformation of a sheet is called Single Point Incremental Forming (SPIF). The lack of available knowledge regarding SPIF parameters and their effects on components has made the ind...

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Autores principales: Najm, Sherwan Mohammed, Paniti, Imre, Trzepieciński, Tomasz, Nama, Sami Ali, Viharos, Zsolt János, Jacso, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658562/
https://www.ncbi.nlm.nih.gov/pubmed/34885418
http://dx.doi.org/10.3390/ma14237263
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author Najm, Sherwan Mohammed
Paniti, Imre
Trzepieciński, Tomasz
Nama, Sami Ali
Viharos, Zsolt János
Jacso, Adam
author_facet Najm, Sherwan Mohammed
Paniti, Imre
Trzepieciński, Tomasz
Nama, Sami Ali
Viharos, Zsolt János
Jacso, Adam
author_sort Najm, Sherwan Mohammed
collection PubMed
description When using a unique tool with different controlled path strategies in the absence of a punch and die, the local plastic deformation of a sheet is called Single Point Incremental Forming (SPIF). The lack of available knowledge regarding SPIF parameters and their effects on components has made the industry reluctant to embrace this technology. To make SPIF a significant industrial application and to convince the industry to use this technology, it is important to study mechanical properties and effective parameters prior to and after the forming process. Moreover, in order to produce a SPIF component with sufficient quality without defects, optimal process parameters should be selected. In this context, this paper offers insight into the effects of the forming tool diameter, coolant type, tool speed, and feed rates on the hardness of AA1100 aluminium alloy sheet material. Based on the research parameters, different regression equations were generated to calculate hardness. As opposed to the experimental approach, regression equations enable researchers to estimate hardness values relatively quickly and in a practicable way. The Relative Importance (RI) of SPIF parameters for expected hardness, determined with the partitioning weight method of an Artificial Neural Network (ANN), is also presented in the study. The analysis of the test results showed that hardness noticeably increased when tool speed increased. An increase in feed rate also led to an increase in hardness. In addition, the effects of various greases and coolant oil were studied using the same feed rates; when coolant oil was used, hardness increased, and when grease was applied, hardness decreased.
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spelling pubmed-86585622021-12-10 Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets Najm, Sherwan Mohammed Paniti, Imre Trzepieciński, Tomasz Nama, Sami Ali Viharos, Zsolt János Jacso, Adam Materials (Basel) Article When using a unique tool with different controlled path strategies in the absence of a punch and die, the local plastic deformation of a sheet is called Single Point Incremental Forming (SPIF). The lack of available knowledge regarding SPIF parameters and their effects on components has made the industry reluctant to embrace this technology. To make SPIF a significant industrial application and to convince the industry to use this technology, it is important to study mechanical properties and effective parameters prior to and after the forming process. Moreover, in order to produce a SPIF component with sufficient quality without defects, optimal process parameters should be selected. In this context, this paper offers insight into the effects of the forming tool diameter, coolant type, tool speed, and feed rates on the hardness of AA1100 aluminium alloy sheet material. Based on the research parameters, different regression equations were generated to calculate hardness. As opposed to the experimental approach, regression equations enable researchers to estimate hardness values relatively quickly and in a practicable way. The Relative Importance (RI) of SPIF parameters for expected hardness, determined with the partitioning weight method of an Artificial Neural Network (ANN), is also presented in the study. The analysis of the test results showed that hardness noticeably increased when tool speed increased. An increase in feed rate also led to an increase in hardness. In addition, the effects of various greases and coolant oil were studied using the same feed rates; when coolant oil was used, hardness increased, and when grease was applied, hardness decreased. MDPI 2021-11-27 /pmc/articles/PMC8658562/ /pubmed/34885418 http://dx.doi.org/10.3390/ma14237263 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Najm, Sherwan Mohammed
Paniti, Imre
Trzepieciński, Tomasz
Nama, Sami Ali
Viharos, Zsolt János
Jacso, Adam
Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets
title Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets
title_full Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets
title_fullStr Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets
title_full_unstemmed Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets
title_short Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets
title_sort parametric effects of single point incremental forming on hardness of aa1100 aluminium alloy sheets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658562/
https://www.ncbi.nlm.nih.gov/pubmed/34885418
http://dx.doi.org/10.3390/ma14237263
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