Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network

Excellent electrical and thermal conductivity of electrode materials in Electrical Discharge Machining (EDM) is the main factors that determine the suitability of these electrodes. These electrodes are usually made from graphite, copper and copper alloys because these materials have high electrical...

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Main Authors:	Al Hazza, Muataz Hazza Faizi, Ndaliman, Mohammed Baba, Ali, Mohammad Yeakub, Khan, Ahsan Ali
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE Computer Society 2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/35135/ http://irep.iium.edu.my/35135/ http://irep.iium.edu.my/35135/2/PID3071389-1.pdf http://irep.iium.edu.my/35135/9/Simulating_the_Electrical_and_Thermal_Conductivity.pdf

id	iium-35135
recordtype	eprints
spelling	iium-351352017-06-14T05:00:34Z http://irep.iium.edu.my/35135/ Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network Al Hazza, Muataz Hazza Faizi Ndaliman, Mohammed Baba Ali, Mohammad Yeakub Khan, Ahsan Ali T Technology (General) Excellent electrical and thermal conductivity of electrode materials in Electrical Discharge Machining (EDM) is the main factors that determine the suitability of these electrodes. These electrodes are usually made from graphite, copper and copper alloys because these materials have high electrical and thermal conductivity in additional to high melting temperature. The objective of this paper is to simulate the electrical conductivity and thermal conductivity for new compact electrodes made from Cupper- Tantalum Carbide (Cu-TaC). This simulation based on experimental work. Materials have been used in the experiment were Cupper and Tantalum Carbide powders. The compositions of the Cu-TaC are made of 30 % and 55 % wt of TaC, while the compacting pressures are 1, 500 psi and 3,000 psi. The thermal and electrical conductivities have been measured. The Neural Network (NN) technique has been used to simulate the electrical conductivity and thermal conductivity of the green compacted electrodes. They were subjected to sintering at temperatures of 450°C and 850 °C. IEEE Computer Society 2013 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/35135/2/PID3071389-1.pdf application/pdf en http://irep.iium.edu.my/35135/9/Simulating_the_Electrical_and_Thermal_Conductivity.pdf Al Hazza, Muataz Hazza Faizi and Ndaliman, Mohammed Baba and Ali, Mohammad Yeakub and Khan, Ahsan Ali (2013) Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network. In: International Conference on Advanced Computer Science Applications and Technologies 2013, 22-24 December 2013, Kuching, Sarawak. 10.1109/ACSAT.2013.22
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Al Hazza, Muataz Hazza Faizi Ndaliman, Mohammed Baba Ali, Mohammad Yeakub Khan, Ahsan Ali Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network
description	Excellent electrical and thermal conductivity of electrode materials in Electrical Discharge Machining (EDM) is the main factors that determine the suitability of these electrodes. These electrodes are usually made from graphite, copper and copper alloys because these materials have high electrical and thermal conductivity in additional to high melting temperature. The objective of this paper is to simulate the electrical conductivity and thermal conductivity for new compact electrodes made from Cupper- Tantalum Carbide (Cu-TaC). This simulation based on experimental work. Materials have been used in the experiment were Cupper and Tantalum Carbide powders. The compositions of the Cu-TaC are made of 30 % and 55 % wt of TaC, while the compacting pressures are 1, 500 psi and 3,000 psi. The thermal and electrical conductivities have been measured. The Neural Network (NN) technique has been used to simulate the electrical conductivity and thermal conductivity of the green compacted electrodes. They were subjected to sintering at temperatures of 450°C and 850 °C.
format	Conference or Workshop Item
author	Al Hazza, Muataz Hazza Faizi Ndaliman, Mohammed Baba Ali, Mohammad Yeakub Khan, Ahsan Ali
author_facet	Al Hazza, Muataz Hazza Faizi Ndaliman, Mohammed Baba Ali, Mohammad Yeakub Khan, Ahsan Ali
author_sort	Al Hazza, Muataz Hazza Faizi
title	Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network
title_short	Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network
title_full	Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network
title_fullStr	Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network
title_full_unstemmed	Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network
title_sort	simulating the electrical and thermal conductivity in edm die sinking of cu-tac compact electrodes using neural network
publisher	IEEE Computer Society
publishDate	2013
url	http://irep.iium.edu.my/35135/ http://irep.iium.edu.my/35135/ http://irep.iium.edu.my/35135/2/PID3071389-1.pdf http://irep.iium.edu.my/35135/9/Simulating_the_Electrical_and_Thermal_Conductivity.pdf
first_indexed	2023-09-18T20:50:28Z
last_indexed	2023-09-18T20:50:28Z
_version_	1777409959555760128

Simulating the electrical and thermal conductivity in EDM die sinking of Cu-TaC compact electrodes using neural network

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