Optimisation deep drawing process parameters using FE simulation

This paper presents the modeling simulation and experimental validation of cylindrical cup deep drawing. Prediction of the deep drawing results which includes determination of the optimum Blank Holder Force (BHF) and the thickness distribution of the sheet metal (blank) will decrease the production...

وصف كامل

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Katimon, Mohd Nizam
التنسيق: Dissertation
اللغة:الإنجليزية
الإنجليزية
الإنجليزية
منشور في: 2008
الموضوعات:
الوصول للمادة أونلاين:http://eprints.uthm.edu.my/7355/
Abstract Abstract here
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author Katimon, Mohd Nizam
author_facet Katimon, Mohd Nizam
author_sort Katimon, Mohd Nizam
description This paper presents the modeling simulation and experimental validation of cylindrical cup deep drawing. Prediction of the deep drawing results which includes determination of the optimum Blank Holder Force (BHF) and the thickness distribution of the sheet metal (blank) will decrease the production cost and time. Before performing the Finite Element (FE) analysis, it is required to understand the sheet metal (blank) properties and material model. In this FE analysis, the effect of fixed BHF on the cylindrical cup wall thickness distribution is examined. According to the experimental study, the optimum and maximum values of fixed BHF was at 1 kN and 11 kN respectively. These values are determined without the blank exceeding the tearing limits. Comparison of simulation and experimental study indicates that the FE model is considered valid, which can be seen from the similar thickness profile of simulation and experimental results.
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language English
English
English
publishDate 2008
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spelling uthm-73552022-07-21T04:11:24Z http://eprints.uthm.edu.my/7355/ Optimisation deep drawing process parameters using FE simulation Katimon, Mohd Nizam TS Manufactures TS155-194 Production management. Operations management This paper presents the modeling simulation and experimental validation of cylindrical cup deep drawing. Prediction of the deep drawing results which includes determination of the optimum Blank Holder Force (BHF) and the thickness distribution of the sheet metal (blank) will decrease the production cost and time. Before performing the Finite Element (FE) analysis, it is required to understand the sheet metal (blank) properties and material model. In this FE analysis, the effect of fixed BHF on the cylindrical cup wall thickness distribution is examined. According to the experimental study, the optimum and maximum values of fixed BHF was at 1 kN and 11 kN respectively. These values are determined without the blank exceeding the tearing limits. Comparison of simulation and experimental study indicates that the FE model is considered valid, which can be seen from the similar thickness profile of simulation and experimental results. 2008-03 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/7355/1/24p%20MOHD%20NIZAM%20KATIMON.pdf text en http://eprints.uthm.edu.my/7355/2/MOHD%20NIZAM%20KATIMON%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/7355/3/MOHD%20NIZAM%20KATIMON%20WATERMARK.pdf Katimon, Mohd Nizam (2008) Optimisation deep drawing process parameters using FE simulation. Masters thesis, Universiti Tun Hussein Onn Malaysia.
spellingShingle TS Manufactures
TS155-194 Production management. Operations management
Katimon, Mohd Nizam
Optimisation deep drawing process parameters using FE simulation
thesis_level Master
title Optimisation deep drawing process parameters using FE simulation
title_full Optimisation deep drawing process parameters using FE simulation
title_fullStr Optimisation deep drawing process parameters using FE simulation
title_full_unstemmed Optimisation deep drawing process parameters using FE simulation
title_short Optimisation deep drawing process parameters using FE simulation
title_sort optimisation deep drawing process parameters using fe simulation
topic TS Manufactures
TS155-194 Production management. Operations management
url http://eprints.uthm.edu.my/7355/
work_keys_str_mv AT katimonmohdnizam optimisationdeepdrawingprocessparametersusingfesimulation