Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model

One of the common major defects in deep drawing sheet metal forming is wrinkling. It is known as the formation of uneven height at the top rim of a drawn part due to multi-axial stresses acted on the blank material during the deformation process. Although a finite element method has been used to pre...

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Main Author: Wan Iryana, Wan Md Nor
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/25725/
http://umpir.ump.edu.my/id/eprint/25725/
http://umpir.ump.edu.my/id/eprint/25725/1/Wrinkling%20prediction%20in%20deep%20drawing%20metal%20forming.pdf
id ump-25725
recordtype eprints
spelling ump-257252019-08-28T03:27:24Z http://umpir.ump.edu.my/id/eprint/25725/ Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model Wan Iryana, Wan Md Nor TJ Mechanical engineering and machinery One of the common major defects in deep drawing sheet metal forming is wrinkling. It is known as the formation of uneven height at the top rim of a drawn part due to multi-axial stresses acted on the blank material during the deformation process. Although a finite element method has been used to predict this wrinkling defects and has gained acceptance in the industry, the simulations are far from accurately representing the actual forming process. Hence, the objective of this study is to examine the capability of kinematic hardening model and mixed hardening model (kinematic hardening model combines with isotropic hardening model) using Abaqus software version 6.13.1 in predicting wrinkling defects of deep drawing process. The simulation results are validated by comparing with the experimental results. The experimental work consists of two stages: deep drawing experiment and quantifying wrinkling pattern by using coordinate measurement machine. The deep drawing experiment was conducted to produce stainless steel and mild steel square cup using punch and die that were specially designed and fabricated. Initial investigation of the results by using visual inspection on the drawn square cups found that there is similarity in the wrinkling patterns produced by the simulation and deep drawing experiments. To justify this finding and to get better analysis, coordinate measurement machine is used to measure data of wrinkling patterns along specific paths of the experimental deep drawn products. This experimental data are compared to the wrinkling data acquired from simulation results by plotting both data to be represented in the form of graph. It was found that the experimental wrinkling pattern shows in the graph seem to be similar to wrinkling patterns predicted by the kinematic and mixed hardening model. The kinematic hardening model seems to provide a good solution to predict the wrinkling defects. However, the application of mixed hardening model gives better prediction accuracy. The per cent difference of the wrinkling data from these two hardening models versus experimental data are in the range of 11 per cent to 33 per cent for various bending zones of the deep drawing product. It can be concluded this mixed hardening model is more capable to predict wrinkling defects in deep drawing process. 2017-11 Thesis NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25725/1/Wrinkling%20prediction%20in%20deep%20drawing%20metal%20forming.pdf Wan Iryana, Wan Md Nor (2017) Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model. Masters thesis, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:102999&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Wan Iryana, Wan Md Nor
Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model
description One of the common major defects in deep drawing sheet metal forming is wrinkling. It is known as the formation of uneven height at the top rim of a drawn part due to multi-axial stresses acted on the blank material during the deformation process. Although a finite element method has been used to predict this wrinkling defects and has gained acceptance in the industry, the simulations are far from accurately representing the actual forming process. Hence, the objective of this study is to examine the capability of kinematic hardening model and mixed hardening model (kinematic hardening model combines with isotropic hardening model) using Abaqus software version 6.13.1 in predicting wrinkling defects of deep drawing process. The simulation results are validated by comparing with the experimental results. The experimental work consists of two stages: deep drawing experiment and quantifying wrinkling pattern by using coordinate measurement machine. The deep drawing experiment was conducted to produce stainless steel and mild steel square cup using punch and die that were specially designed and fabricated. Initial investigation of the results by using visual inspection on the drawn square cups found that there is similarity in the wrinkling patterns produced by the simulation and deep drawing experiments. To justify this finding and to get better analysis, coordinate measurement machine is used to measure data of wrinkling patterns along specific paths of the experimental deep drawn products. This experimental data are compared to the wrinkling data acquired from simulation results by plotting both data to be represented in the form of graph. It was found that the experimental wrinkling pattern shows in the graph seem to be similar to wrinkling patterns predicted by the kinematic and mixed hardening model. The kinematic hardening model seems to provide a good solution to predict the wrinkling defects. However, the application of mixed hardening model gives better prediction accuracy. The per cent difference of the wrinkling data from these two hardening models versus experimental data are in the range of 11 per cent to 33 per cent for various bending zones of the deep drawing product. It can be concluded this mixed hardening model is more capable to predict wrinkling defects in deep drawing process.
format Thesis
author Wan Iryana, Wan Md Nor
author_facet Wan Iryana, Wan Md Nor
author_sort Wan Iryana, Wan Md Nor
title Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model
title_short Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model
title_full Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model
title_fullStr Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model
title_full_unstemmed Wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model
title_sort wrinkling prediction in deep drawing metal forming : kinematic hardening model versus mixed hardening model
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/25725/
http://umpir.ump.edu.my/id/eprint/25725/
http://umpir.ump.edu.my/id/eprint/25725/1/Wrinkling%20prediction%20in%20deep%20drawing%20metal%20forming.pdf
first_indexed 2023-09-18T22:39:40Z
last_indexed 2023-09-18T22:39:40Z
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