Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin

Electric Discharge Machining (EDM) provides an effective manufacturing technique that enables the production of parts made of hard materials with processes. The ability to control the process parameters to achieve the required dimensional accuracy and surface finish has placed this machining operati...

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Main Author: Tajudin, Fazlina
Format: Thesis
Language:English
Published: 2009
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Online Access:http://ir.uitm.edu.my/id/eprint/30905/1/30905.pdf
http://ir.uitm.edu.my/id/eprint/30905/
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spelling my.uitm.ir.309052020-06-03T08:17:20Z http://ir.uitm.edu.my/id/eprint/30905/ Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin Tajudin, Fazlina Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation Environmental education. Study and teaching. Research Electric Discharge Machining (EDM) provides an effective manufacturing technique that enables the production of parts made of hard materials with processes. The ability to control the process parameters to achieve the required dimensional accuracy and surface finish has placed this machining operation in a prominent position. From that reason, EDM has found broad applications in industry. EDM has resulted great improvements in its technology and become widely used in aerospace, automotive, tool, and die industries. The analysis by other researchers was always focused in examined the work piece after finished the EDM process such as EDM performance without considering the effect of machining to parent metal in term of time. The material that has been used in this study is ASSAB 718HH. It is a premium-quality vacuum-degassed Cr-Ni-Mo-alloyed steel which is supplied in the hardened and tempered condition. Diagnostic mapping is to examine the changing form of the material ASSAB 718HH after EDM based on time. Two types of electrode: Copper (Cu) and Copper Tungsten (Cu-W) were employed since the electrodes give good dimensional accuracy and surface finish according to previous study. Diagnostic mapping is used as a method to identify the changes of machining result after 5, 30, 60 and 90 minutes. Cu and Cu-W are good electrode material since it gives good surface finish. Both electrodes resulted not much different in macro and micro structure observation. From overall results, Cu-W electrode is the best since it offers comparatively low values of surface roughness at high discharge current, giving good surface finish during machining hardened tool steel material, and low diameteral overcut. It also gives less TWR, although the MRR is higher compared to the Cu electrode when machining hardened steel material. 2009 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/30905/1/30905.pdf Tajudin, Fazlina (2009) Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin. Degree thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation
Environmental education. Study and teaching. Research
spellingShingle Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation
Environmental education. Study and teaching. Research
Tajudin, Fazlina
Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin
description Electric Discharge Machining (EDM) provides an effective manufacturing technique that enables the production of parts made of hard materials with processes. The ability to control the process parameters to achieve the required dimensional accuracy and surface finish has placed this machining operation in a prominent position. From that reason, EDM has found broad applications in industry. EDM has resulted great improvements in its technology and become widely used in aerospace, automotive, tool, and die industries. The analysis by other researchers was always focused in examined the work piece after finished the EDM process such as EDM performance without considering the effect of machining to parent metal in term of time. The material that has been used in this study is ASSAB 718HH. It is a premium-quality vacuum-degassed Cr-Ni-Mo-alloyed steel which is supplied in the hardened and tempered condition. Diagnostic mapping is to examine the changing form of the material ASSAB 718HH after EDM based on time. Two types of electrode: Copper (Cu) and Copper Tungsten (Cu-W) were employed since the electrodes give good dimensional accuracy and surface finish according to previous study. Diagnostic mapping is used as a method to identify the changes of machining result after 5, 30, 60 and 90 minutes. Cu and Cu-W are good electrode material since it gives good surface finish. Both electrodes resulted not much different in macro and micro structure observation. From overall results, Cu-W electrode is the best since it offers comparatively low values of surface roughness at high discharge current, giving good surface finish during machining hardened tool steel material, and low diameteral overcut. It also gives less TWR, although the MRR is higher compared to the Cu electrode when machining hardened steel material.
format Thesis
author Tajudin, Fazlina
author_facet Tajudin, Fazlina
author_sort Tajudin, Fazlina
title Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin
title_short Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin
title_full Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin
title_fullStr Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin
title_full_unstemmed Development of diagnostic mapping of ASSAB 718HH / Fazlina Tajudin
title_sort development of diagnostic mapping of assab 718hh / fazlina tajudin
publishDate 2009
url http://ir.uitm.edu.my/id/eprint/30905/1/30905.pdf
http://ir.uitm.edu.my/id/eprint/30905/
_version_ 1685650720024428544
score 13.160551